Modeling the impact of the health finance and governance projectHFG Project
Over its six-year life (2012-2018), the project worked with more than 40 partner countries to increase their domestic resources for health, manage resources more effectively, and reduce system bottlenecks in order to increase access to and use of priority health services and strengthen health systems overall. HFG provided state-of-the-art and country-specific technical assistance to remove obstacles that impede effective health system functioning and essential reforms. Recognizing the importance of measuring its impact, HFG quantified its return on investment for HFG health systems strengthening efforts.
HFG and its partner Avenir Health conducted a rigorous exercise to estimate the impact of the project’s health systems strengthening activities on its overall goal: increased use of priority health services. We used Spectrum, a suite of modeling tools developed by Avenir Health and partners, to quantify impact on mortality and morbidity based on changes in the coverage of specific priority health services due to the project’s activities aimed at improving access, quality, and use of health care. Given the diverse activities of HFG and the challenge of establishing a measurable causal link between project activities and coverage effects, we adopted a conservative approach and chose for this impact modeling exercise a subset of HFG activities for which a direct link was apparent. Based on these parameters, the exercise was conducted for eight country programs: Bangladesh, Cote d’Ivoire, Cameroon, Ethiopia, Haiti, Nigeria, Senegal, and Vietnam.
Using a methodical approach, we analyzed individual project activities in these countries and the expected effects on service coverage to estimate the impact on morbidity and mortality. We examined how our activities, including implementing strategies for improved human resources for health, operationalizing health insurance schemes, rolling out packages of health services, and using costed plans and packages to advocate for more financial resources, will increase access to health services, which in turn will lead to greater coverage of health services among targeted populations and ultimately to reduced morbidity and mortality. We modeled the impact of HFG’s activities by quantifying the number of deaths that were averted as a result of HFG-supported strategies and reforms.
The modeling results indicate that continued implementation of health systems strengthening strategies like those HFG supported would bring significant expansion of health care coverage and enhanced health outcomes.
This report presents country- and activity-specific results and the methodology for estimating coverage changes and impact. We hope this modeling exercise adds to the global understanding of how the impact of health systems strengthening can be measured. It provides powerful evidence on why investment and effort in strengthening health systems must continue.
South Africa HIV and TB Expenditure Review 2014/15 - 2016/17. Executive SummaryHFG Project
The South African Government (SAG) and its development partners have mounted a formidable response to the world’s largest HIV epidemic and a persistent burden of tuberculosis (TB), the country’s leading killer. Nearly 4 million South Africans initiated antiretroviral therapy (ART) by the end of financial year 2016/17, helping to curtail new infections and reduce the number of annual HIV-related deaths. Mortality from TB has also declined thanks, in part, to improved treatment success.
Despite progress, challenges remain. Roughly 3 million people living with HIV (PLHIV) lack treatment, and each year more than a quarter million are newly infected. Moreover, nearly a half million South Africans contract TB every year, with an increasing share affected by drug-resistant strains.
To effectively plan and steward the health system, the SAG routinely monitors programmatic and financial performance of the response to HIV and TB, including by tracking expenditure. Analysis of spending, including trends in sources, levels, geographic and programmatic distribution and cost drivers can help policymakers to assess whether resources are reaching priority populations, interventions, and hotspot geographies; to identify potential opportunities to improve allocative and technical efficiency; and to stimulate more productive dialogue at multiple levels of the system.
This review of HIV and TB expenditure in South Africa is an input to policy, planning and management processes within and amongst spheres of government and between government and development partners. The data have been especially useful to national and provincial programme managers as they perform their oversight functions, leading to improved spending of available resources. With 52 annexes, it also serves as an authoritative reference document detailing levels and trends in HIV and TB spending by the three main funders of the disease responses: the SAG, the United States Government (USG), primarily via the President’s Emergency Plan for AIDS Relief (PEPFAR), and the Global Fund to Fight AIDS, Tuberculosis, and Malaria (the Global Fund). The findings have informed South Africa’s report to the UNAIDS Global AIDS Monitor and the country’s forthcoming funding request to the Global Fund.
Modeling the impact of the health finance and governance projectHFG Project
Over its six-year life (2012-2018), the project worked with more than 40 partner countries to increase their domestic resources for health, manage resources more effectively, and reduce system bottlenecks in order to increase access to and use of priority health services and strengthen health systems overall. HFG provided state-of-the-art and country-specific technical assistance to remove obstacles that impede effective health system functioning and essential reforms. Recognizing the importance of measuring its impact, HFG quantified its return on investment for HFG health systems strengthening efforts.
HFG and its partner Avenir Health conducted a rigorous exercise to estimate the impact of the project’s health systems strengthening activities on its overall goal: increased use of priority health services. We used Spectrum, a suite of modeling tools developed by Avenir Health and partners, to quantify impact on mortality and morbidity based on changes in the coverage of specific priority health services due to the project’s activities aimed at improving access, quality, and use of health care. Given the diverse activities of HFG and the challenge of establishing a measurable causal link between project activities and coverage effects, we adopted a conservative approach and chose for this impact modeling exercise a subset of HFG activities for which a direct link was apparent. Based on these parameters, the exercise was conducted for eight country programs: Bangladesh, Cote d’Ivoire, Cameroon, Ethiopia, Haiti, Nigeria, Senegal, and Vietnam.
Using a methodical approach, we analyzed individual project activities in these countries and the expected effects on service coverage to estimate the impact on morbidity and mortality. We examined how our activities, including implementing strategies for improved human resources for health, operationalizing health insurance schemes, rolling out packages of health services, and using costed plans and packages to advocate for more financial resources, will increase access to health services, which in turn will lead to greater coverage of health services among targeted populations and ultimately to reduced morbidity and mortality. We modeled the impact of HFG’s activities by quantifying the number of deaths that were averted as a result of HFG-supported strategies and reforms.
The modeling results indicate that continued implementation of health systems strengthening strategies like those HFG supported would bring significant expansion of health care coverage and enhanced health outcomes.
This report presents country- and activity-specific results and the methodology for estimating coverage changes and impact. We hope this modeling exercise adds to the global understanding of how the impact of health systems strengthening can be measured. It provides powerful evidence on why investment and effort in strengthening health systems must continue.
South Africa HIV and TB Expenditure Review 2014/15 - 2016/17. Executive SummaryHFG Project
The South African Government (SAG) and its development partners have mounted a formidable response to the world’s largest HIV epidemic and a persistent burden of tuberculosis (TB), the country’s leading killer. Nearly 4 million South Africans initiated antiretroviral therapy (ART) by the end of financial year 2016/17, helping to curtail new infections and reduce the number of annual HIV-related deaths. Mortality from TB has also declined thanks, in part, to improved treatment success.
Despite progress, challenges remain. Roughly 3 million people living with HIV (PLHIV) lack treatment, and each year more than a quarter million are newly infected. Moreover, nearly a half million South Africans contract TB every year, with an increasing share affected by drug-resistant strains.
To effectively plan and steward the health system, the SAG routinely monitors programmatic and financial performance of the response to HIV and TB, including by tracking expenditure. Analysis of spending, including trends in sources, levels, geographic and programmatic distribution and cost drivers can help policymakers to assess whether resources are reaching priority populations, interventions, and hotspot geographies; to identify potential opportunities to improve allocative and technical efficiency; and to stimulate more productive dialogue at multiple levels of the system.
This review of HIV and TB expenditure in South Africa is an input to policy, planning and management processes within and amongst spheres of government and between government and development partners. The data have been especially useful to national and provincial programme managers as they perform their oversight functions, leading to improved spending of available resources. With 52 annexes, it also serves as an authoritative reference document detailing levels and trends in HIV and TB spending by the three main funders of the disease responses: the SAG, the United States Government (USG), primarily via the President’s Emergency Plan for AIDS Relief (PEPFAR), and the Global Fund to Fight AIDS, Tuberculosis, and Malaria (the Global Fund). The findings have informed South Africa’s report to the UNAIDS Global AIDS Monitor and the country’s forthcoming funding request to the Global Fund.
The Health Finance and Governance Briefing KitHFG Project
Resource Type: Brief
Authors: Megan Meline, Lisa Tarantino, Jeremy Kanthor, and Sharon Nakhimovsky
Published: September 2015
Resource Description: Getting access to affordable, quality health care is a universal story that touches virtually every family in the world. At the same time, providing quality health services and access to trained health professionals is a challenge for governments. The World Health Organization (WHO) estimates that 150 million people worldwide face “catastrophic expenditure” because of high costs of health care. In other words, they may have to forgo paying for basic needs, such as food, housing, or education to pay for medical treatment instead. These costs include transportation, doctors’ fees, medicine, hospitalization bills, and days lost from work.
Behind these sobering statistics lies a wealth of news and feature stories waiting for the media to investigate and share with national leaders and policymakers as well as civil society groups who can advocate for changes to health budgets and policies. At the heart of these stories are important questions about the financing of health care and the quality of governance that ensures responsive and effective management of those resources and services.
But writing health finance and governance stories can be challenging. Health finance is riddled with complex language, technical economic terms, and numbers – not necessarily a journalist’s comfort zone. The right sources for these stories can be difficult to identify and unwilling to talk. Data may be difficult to locate or to understand. And while corruption makes for splashy headlines, the broader systemic challenges of health governance are not widely understood — and yet they are important.
The Health Finance and Governance Briefing Kit is designed to help journalists and their editors uncover and tell these important health stories that affect people all around the world.
Capital Investment in Health Systems: What is the latest thinking?HFG Project
Capital investment in health typically refers to large expenditures in construction of hospitals and other facilities, investment in diagnostic and treatment technologies, and information technology platforms. These investments are characterized by their longevity and they are critical to efforts to improve healthcare quality and efficiency. Contrary to developed countries where there is well documented experience on capital investment in the health sector, including use of public private partnerships for the investment; there is little evidence on capital investment in health from low and middle income countries.
This work was undertaken to add to the HFG’s knowledge and learning strategy by clarifying what good practice guidance exists in capital benchmark in LMICs health sectors, as well as the HFG project’s experience in the area. This brief will be of value to all those interested in the planning and financing the capital investment in the health sector. This includes politicians, planners, managers, health professionals, architects, designers, and researchers in both the public and private sectors.
Experiences in Outsourcing Nonclinical Services Among Public Hospitals in Bot...HFG Project
Resource Type: Report
Authors: Heather Cogswell, Mompati Buzwani, Louise Myers, Elizabeth Ohadi, Naz Todini and Carlos Avila
Published: April 30, 2015
Resource Description:
Since gaining independence in 1966, Botswana has served as an example of development success—experiencing high economic growth and progressing to a middle-income country classification. Throughout this process, the private sector presence in Botswana has remained small while the government has grown to become the dominant player in the economy and the country’s main employer. With the national Privatisation Policy of 2000, the government began implementing a broad set of reforms to diversify the economy, address the volatility of its two main sources of domestic revenue, cattle and diamonds, and increase the efficiency of the public sector.
While privatisation is a national policy, its uptake has been slow. 15 years after the policy was enacted, the Ministry of Health (MoH) is the leader in the government’s outsourcing and privatisation initiatives. The MoH has designed and implemented a number of outsourcing agreements for nonclinical services at seven regional and district hospitals in the country. These nonclinical services include cleaning, laundry, security, grounds, and porter services. Food service is expected to be outsourced in a few facilities in the near future. As a leader in outsourcing, the MoH has encountered and overcome challenges that are documented in this report. The material and lessons learned are intended to serve as a resource for others as they undertake outsourcing initiatives.
Public Financial Management, Health Governance, and Health SystemsHFG Project
While the importance of governance in a health system is well recognized, there is an overall lack of evidence and understanding of the dynamics of how improved governance can influence health system performance and health outcomes. There is still considerable debate on which governance interventions are appropriate for different contexts. This lack of evidence can result in avoidance of health governance efforts or an over-reliance on a limited set of governance interventions. As development partners and governments are increasing their emphasis on improving accountability and transparency of health systems and strengthening country policies and institutions to move towards universal health coverage (UHC), the need of this evidence is ever rising.
To address this evidence gap, the USAID’s Office of Health Systems (USAID/GH/OHS), the World Health Organization (WHO), and the Health Finance and Governance (HFG) Project launched an initiative in September 2016 to ‘Marshall the Evidence’ on how governance contributes to health system performance and improves health outcomes.
The overall objective of the initiative was to increase awareness and understanding of the evidence of what works and why in how governance contributes to health system performance, and how the field of health governance is evolving at the country level. This report provides a synthesis of the findings across the four themes. This report presents the findings of the Public Financial Management.
Budget matters for health: key formulation and classification issuesHFG Project
This policy brief aims to raise awareness on the role of public budgeting – specifically aspects of budget formulation – for non-PFM specialists working in health. As part of an overall WHO programme of work on Budgeting in Health, it will help clarify the characteristics and implications of various budgeting approaches for the health sector.
This document identifies the opportunities for and challenges of incorporating voluntary FP into RBF systems that pay providers; offers considerations for establishing fees; describes approaches to monitoring and verification; discusses U.S. policies surrounding support for enhancing access to FP; presents what is known about how low- and middle-income countries are including FP; and provides suggestions for donors, policymakers, program implementers, and technical assistance providers about how to responsibly and effectively apply strategic purchasing to enhance FP results in LMICs.
The Link between Provider Payment and Quality of Maternal Health Services: Ca...HFG Project
This paper presents case studies of provider payment systems in the Kyrgyz Republic, Nigeria, and Zambia that link a quality improvement initiative with provider payment. It documents these programs’ experience with design and implementation and lessons learned for other health care payers seeking to improve quality at the point of care through redesign of a provider payment system.
HFG began working in Namibia in 2013, closely partnering with the Namibian Ministry of Health and Social Services and going on to collaborate with key government agencies, such as the Namibian Social Security Commission and the Universal Health
Coverage Advisory Committee of Namibia. The overarching aim of our technical assistance has been to support Namibia’s progress toward UHC to ensure all can access necessary, quality health care without financial struggle. We emphasized a government-led and -owned approach as we supported the Namibian government in addressing some of the key challenges it faced at the start of the project.
HFG’s support has helped strengthen the government’s capacity to mobilize and manage resources; improve efficiency, quality, and equity of health services; expand access to health care; sustain key health interventions, especially the HIV/AIDS prevention, care, and treatment program; and, ultimately, identify sustainable financing for UHC. We provided technical support to the Namibian government’s Health Accounts team, equipping them with tools and know-how to lead and implement four Health Accounts exercises and analyze and present data for better policy analysis and evidence-based decision making. Our support has helped institutionalize Health Accounts in Namibia and provided the country’s policymakers with evidence to examine health financing options for UHC, advocate for greater resources, and explore financial risk protection options.
Strengthening the larger health system and generating fiscal space through improved efficiency of health services was another important goal for HFG.
Findings of the health facility costing and district hospital efficiency study we undertook will enable the government to identify where it can save resources, how it can improve equity in service distribution, and what Namibia’s total financing requirement is for UHC.
This report highlights some of the major contributions HFG and its key partners have made toward more efficient use of limited health resources, improved sustainability of
health programs, and progress toward UHC in Namibia.
Do Better Laws and Regulations Promote Universal Health Coverage? A Review of...HFG Project
The importance of policies, laws, and regulations (referred to collectively below as “policy instances”) as instruments to support progress towards Universal Health Coverage (UHC) in low- and middle-income countries cannot be understated. However, there has been insufficient focus in the literature on the role of these instruments, leading to a lack of evidence as to what constitutes a supportive legal environment that can consistently provide a strong basis for UHC reform processes. In this review, we explore how policies implemented in different country contexts have had an impact on their achievement of UHC goals.
In order to better differentiate the effect of various policy instances on the achievement of UHC goals, we developed a typology for policy instances and then ascribed the different aspects of governance to the instances identified in the literature, based on how they were designed and implemented. Finally, we considered the success of each policy instance identified, in terms of achieving intended UHC-related outcomes.
Governments may have political and process constraints on the number of policy instances they can design and implement in a period leading up to and during health sector reform. In terms of which health system component to focus such change on, we have more evidence for policy instances focused on health financing, given that designing effective financing mechanisms can shape the entire health
sector. Following this, policy instances that address human resources for health and supply chain management should be prioritized as they appear to have key strengthening effects on the provision of healthcare by increasing efficiency, equity, and quality.
This review of the evidence to date of governments’ policy-making experience highlights the importance of effective policy design and implementation with a clear orientation towards better governance, and in particular increased responsiveness and accountability.
The survey, represents more than 500 participants ranging from 100 to more than 10,000 employees, gathers information on benefit plan designs and costs, eligibility, and health benefits strategy.
Health Financing in Botswana: A Landscape AnalysisHFG Project
The government of Botswana is committed to achieving universal health coverage and assuming a higher share of HIV/AIDS and other health spending, even though long-term economic growth prospects are less optimistic than in the past. To guide its path, the government is developing a health financing strategy that will increase efficiency, ensure financial sustainability, and promote an effective mix of public and private mechanisms for health financing and service provision. The government created a multi-stakeholder Health Financing Technical Working Group (HFTWG) to lead the development of the strategy and requested support from the Health Finance and Government Project (HFG), a global initiative funded by the United States Agency for International Development (USAID). HFG conducted this landscape analysis to inform the process by compiling the findings of previous studies, providing information on Botswana’s fiscal space for health, health expenditures, funding gap for health, and health system performance, and outlining policy initiatives for addressing the priorities of the HFTWG.
The Health Finance and Governance Briefing KitHFG Project
Resource Type: Brief
Authors: Megan Meline, Lisa Tarantino, Jeremy Kanthor, and Sharon Nakhimovsky
Published: September 2015
Resource Description: Getting access to affordable, quality health care is a universal story that touches virtually every family in the world. At the same time, providing quality health services and access to trained health professionals is a challenge for governments. The World Health Organization (WHO) estimates that 150 million people worldwide face “catastrophic expenditure” because of high costs of health care. In other words, they may have to forgo paying for basic needs, such as food, housing, or education to pay for medical treatment instead. These costs include transportation, doctors’ fees, medicine, hospitalization bills, and days lost from work.
Behind these sobering statistics lies a wealth of news and feature stories waiting for the media to investigate and share with national leaders and policymakers as well as civil society groups who can advocate for changes to health budgets and policies. At the heart of these stories are important questions about the financing of health care and the quality of governance that ensures responsive and effective management of those resources and services.
But writing health finance and governance stories can be challenging. Health finance is riddled with complex language, technical economic terms, and numbers – not necessarily a journalist’s comfort zone. The right sources for these stories can be difficult to identify and unwilling to talk. Data may be difficult to locate or to understand. And while corruption makes for splashy headlines, the broader systemic challenges of health governance are not widely understood — and yet they are important.
The Health Finance and Governance Briefing Kit is designed to help journalists and their editors uncover and tell these important health stories that affect people all around the world.
Capital Investment in Health Systems: What is the latest thinking?HFG Project
Capital investment in health typically refers to large expenditures in construction of hospitals and other facilities, investment in diagnostic and treatment technologies, and information technology platforms. These investments are characterized by their longevity and they are critical to efforts to improve healthcare quality and efficiency. Contrary to developed countries where there is well documented experience on capital investment in the health sector, including use of public private partnerships for the investment; there is little evidence on capital investment in health from low and middle income countries.
This work was undertaken to add to the HFG’s knowledge and learning strategy by clarifying what good practice guidance exists in capital benchmark in LMICs health sectors, as well as the HFG project’s experience in the area. This brief will be of value to all those interested in the planning and financing the capital investment in the health sector. This includes politicians, planners, managers, health professionals, architects, designers, and researchers in both the public and private sectors.
Experiences in Outsourcing Nonclinical Services Among Public Hospitals in Bot...HFG Project
Resource Type: Report
Authors: Heather Cogswell, Mompati Buzwani, Louise Myers, Elizabeth Ohadi, Naz Todini and Carlos Avila
Published: April 30, 2015
Resource Description:
Since gaining independence in 1966, Botswana has served as an example of development success—experiencing high economic growth and progressing to a middle-income country classification. Throughout this process, the private sector presence in Botswana has remained small while the government has grown to become the dominant player in the economy and the country’s main employer. With the national Privatisation Policy of 2000, the government began implementing a broad set of reforms to diversify the economy, address the volatility of its two main sources of domestic revenue, cattle and diamonds, and increase the efficiency of the public sector.
While privatisation is a national policy, its uptake has been slow. 15 years after the policy was enacted, the Ministry of Health (MoH) is the leader in the government’s outsourcing and privatisation initiatives. The MoH has designed and implemented a number of outsourcing agreements for nonclinical services at seven regional and district hospitals in the country. These nonclinical services include cleaning, laundry, security, grounds, and porter services. Food service is expected to be outsourced in a few facilities in the near future. As a leader in outsourcing, the MoH has encountered and overcome challenges that are documented in this report. The material and lessons learned are intended to serve as a resource for others as they undertake outsourcing initiatives.
Public Financial Management, Health Governance, and Health SystemsHFG Project
While the importance of governance in a health system is well recognized, there is an overall lack of evidence and understanding of the dynamics of how improved governance can influence health system performance and health outcomes. There is still considerable debate on which governance interventions are appropriate for different contexts. This lack of evidence can result in avoidance of health governance efforts or an over-reliance on a limited set of governance interventions. As development partners and governments are increasing their emphasis on improving accountability and transparency of health systems and strengthening country policies and institutions to move towards universal health coverage (UHC), the need of this evidence is ever rising.
To address this evidence gap, the USAID’s Office of Health Systems (USAID/GH/OHS), the World Health Organization (WHO), and the Health Finance and Governance (HFG) Project launched an initiative in September 2016 to ‘Marshall the Evidence’ on how governance contributes to health system performance and improves health outcomes.
The overall objective of the initiative was to increase awareness and understanding of the evidence of what works and why in how governance contributes to health system performance, and how the field of health governance is evolving at the country level. This report provides a synthesis of the findings across the four themes. This report presents the findings of the Public Financial Management.
Budget matters for health: key formulation and classification issuesHFG Project
This policy brief aims to raise awareness on the role of public budgeting – specifically aspects of budget formulation – for non-PFM specialists working in health. As part of an overall WHO programme of work on Budgeting in Health, it will help clarify the characteristics and implications of various budgeting approaches for the health sector.
This document identifies the opportunities for and challenges of incorporating voluntary FP into RBF systems that pay providers; offers considerations for establishing fees; describes approaches to monitoring and verification; discusses U.S. policies surrounding support for enhancing access to FP; presents what is known about how low- and middle-income countries are including FP; and provides suggestions for donors, policymakers, program implementers, and technical assistance providers about how to responsibly and effectively apply strategic purchasing to enhance FP results in LMICs.
The Link between Provider Payment and Quality of Maternal Health Services: Ca...HFG Project
This paper presents case studies of provider payment systems in the Kyrgyz Republic, Nigeria, and Zambia that link a quality improvement initiative with provider payment. It documents these programs’ experience with design and implementation and lessons learned for other health care payers seeking to improve quality at the point of care through redesign of a provider payment system.
HFG began working in Namibia in 2013, closely partnering with the Namibian Ministry of Health and Social Services and going on to collaborate with key government agencies, such as the Namibian Social Security Commission and the Universal Health
Coverage Advisory Committee of Namibia. The overarching aim of our technical assistance has been to support Namibia’s progress toward UHC to ensure all can access necessary, quality health care without financial struggle. We emphasized a government-led and -owned approach as we supported the Namibian government in addressing some of the key challenges it faced at the start of the project.
HFG’s support has helped strengthen the government’s capacity to mobilize and manage resources; improve efficiency, quality, and equity of health services; expand access to health care; sustain key health interventions, especially the HIV/AIDS prevention, care, and treatment program; and, ultimately, identify sustainable financing for UHC. We provided technical support to the Namibian government’s Health Accounts team, equipping them with tools and know-how to lead and implement four Health Accounts exercises and analyze and present data for better policy analysis and evidence-based decision making. Our support has helped institutionalize Health Accounts in Namibia and provided the country’s policymakers with evidence to examine health financing options for UHC, advocate for greater resources, and explore financial risk protection options.
Strengthening the larger health system and generating fiscal space through improved efficiency of health services was another important goal for HFG.
Findings of the health facility costing and district hospital efficiency study we undertook will enable the government to identify where it can save resources, how it can improve equity in service distribution, and what Namibia’s total financing requirement is for UHC.
This report highlights some of the major contributions HFG and its key partners have made toward more efficient use of limited health resources, improved sustainability of
health programs, and progress toward UHC in Namibia.
Do Better Laws and Regulations Promote Universal Health Coverage? A Review of...HFG Project
The importance of policies, laws, and regulations (referred to collectively below as “policy instances”) as instruments to support progress towards Universal Health Coverage (UHC) in low- and middle-income countries cannot be understated. However, there has been insufficient focus in the literature on the role of these instruments, leading to a lack of evidence as to what constitutes a supportive legal environment that can consistently provide a strong basis for UHC reform processes. In this review, we explore how policies implemented in different country contexts have had an impact on their achievement of UHC goals.
In order to better differentiate the effect of various policy instances on the achievement of UHC goals, we developed a typology for policy instances and then ascribed the different aspects of governance to the instances identified in the literature, based on how they were designed and implemented. Finally, we considered the success of each policy instance identified, in terms of achieving intended UHC-related outcomes.
Governments may have political and process constraints on the number of policy instances they can design and implement in a period leading up to and during health sector reform. In terms of which health system component to focus such change on, we have more evidence for policy instances focused on health financing, given that designing effective financing mechanisms can shape the entire health
sector. Following this, policy instances that address human resources for health and supply chain management should be prioritized as they appear to have key strengthening effects on the provision of healthcare by increasing efficiency, equity, and quality.
This review of the evidence to date of governments’ policy-making experience highlights the importance of effective policy design and implementation with a clear orientation towards better governance, and in particular increased responsiveness and accountability.
The survey, represents more than 500 participants ranging from 100 to more than 10,000 employees, gathers information on benefit plan designs and costs, eligibility, and health benefits strategy.
Health Financing in Botswana: A Landscape AnalysisHFG Project
The government of Botswana is committed to achieving universal health coverage and assuming a higher share of HIV/AIDS and other health spending, even though long-term economic growth prospects are less optimistic than in the past. To guide its path, the government is developing a health financing strategy that will increase efficiency, ensure financial sustainability, and promote an effective mix of public and private mechanisms for health financing and service provision. The government created a multi-stakeholder Health Financing Technical Working Group (HFTWG) to lead the development of the strategy and requested support from the Health Finance and Government Project (HFG), a global initiative funded by the United States Agency for International Development (USAID). HFG conducted this landscape analysis to inform the process by compiling the findings of previous studies, providing information on Botswana’s fiscal space for health, health expenditures, funding gap for health, and health system performance, and outlining policy initiatives for addressing the priorities of the HFTWG.
Guatemala Health System Assessment 2015HFG Project
Guatemala’s public health system benefits from a well-established regulatory framework, many years of institutional history, dedicated and experienced health sector workers, and an absence of dependence on external sources for financial support. Furthermore, the Peace Accords of 1996 established the basis for the future development of the system for the benefit all Guatemalans. Nevertheless, and in spite of its solid institutional legacy, during recent decades a number of problems have developed which have compromised the public health sector’s effectiveness. The result is a system which is fragmented, inefficient and fails to provide an equal level of health services to all Guatemalans. The country’s recent political instability has only brought these problems into sharper focus.
Strengthening Guatemala’s health system requires a thorough understanding of the system’s unique strengths and weaknesses. The HFG project conducted a Health System Assessment (HSA) for USAID/Guatemala with the primary objective of mapping the health system’s strengths and weaknesses and preparing recommendations to guide health system strengthening efforts in the country.
Association between starting methadone maintenance therapy and changes in inc...HFG Project
The primary objective of this survey is to estimate the change in average income and general expenditures of methadone maintenance therapy (MMT) clients associated with starting MMT care. The null hypothesis is that income among MMT clients is the same before and after they started MMT.
Additionally, this survey will provide data to help to inform estimates of changes in job status associated with enrollment in MMT. This survey also serves to supplement a second survey assessing the income of people living with HIV/AIDS (PLWHA).
Rapid Analytical Review and Assessment of Health System Opportunities and Gap...HFG Project
In January 2014, Indonesia launched an ambitious national health insurance program (Jaminan Kesehatan Nasional, or JKN for short), the cornerstone of its commitment to achieve universal health coverage (UHC) by 2019. Against this background of rapid and transformational change, USAID is collaborating with the Government of Indonesia to promote sustainable financing for service delivery, health systems strengthening, and robust private sector engagement.
To inform this collaboration, USAID commissioned the Health Finance and Governance (HFG) project to conduct a rapid analytic review and assessment of Indonesia’s health system opportunities and gaps. The review provided an opportunity for government, private sector, and development partner stakeholders to weigh in on the nation’s highest-priority health sector challenges as Indonesia embarks on numerous systems reforms.
Landscape of Prepaid Health Schemes in BangladeshHFG Project
This landscape study is part of a series of studies and analysis, undertaken by HFG on behalf of USAID/Bangladesh to determine the feasibility of NGO provider-based prepayment schemes. This paper describes, based on available documents, published and gray literature, and key informant and expert interviews, the landscape of prepaid health schemes in Bangladesh giving particular focus on provider based prepayment schemes. Bangladesh has extensive networks of NGO providers, some such as the Smiling Sun NGO networks have been supported through external funding. This paper reviews existing or recently completed prepaid schemes as a first step to determine the feasibility of provider-based prepaid schemes to increase the NGO providers’ sustainability.
Reproductive, Maternal, Newborn, and Child Health (RMNCH) Expenditure BangladeshHFG Project
This paper estimates Reproductive, Maternal and Newborn and Child Health (RMNCH) expenditure for Bangladesh in accordance with the System of Health Accounts 2011 (SHA 2011) framework. A secondary analysis of BNHA data for production of Reproductive, Maternal and Newborn and Child Health (RMNCH) estimates requires additional data sources and methods to analyze each component of spending. More specifically, the secondary analysis includes three separate estimates for (i) reproductive, (ii) maternal and neonatal and (iii) child health. Considerably effort was made to minimize double counting of expenditure, due to definitional overlap. Hospitals, ambulatory providers and pharmacies are the three major providers that offer direct RMNCH healthcare service. Their respective expenditure estimates are accounted under BNHA. Public Health Program of the Government and NGOs also includes RMNCH related expenditure. To estimate the RMNCH share of hospital and outpatient centers expenditures, user level data by age, sex and disease are a prerequisite.
The objective of this analysis is to estimate RMNCH related expenditure made at the patient level by public and private sector institutions as well as households. RMNCH related expenditure made under various public health program of the government and NGOs are also analyzed. Estimating RMNCH expenditure using the BNHA data requires identifying relevant services and programs offered and implemented by various providers in accordance with their respective functions.
Review of Community/Mutual-Based Health Insurance Schemes and Their Role in S...HFG Project
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Cost-Benefit Analysis of Outsourcing Cleaning Services at Mahalapye Hospital,...HFG Project
Resource Type: Report
Authors: Jonathan Cali, Heather Cogswell, Mompati Buzwani, Elizabeth Ohadi, and Carlos Avila
Published: June 30, 2015
Resource Description:
The Government of Botswana (GoB) is currently implementing a long-term strategy to diversify the economy, create opportunities for growth in the private sector, and increase the efficiency of the public sector. Outsourcing service delivery is one of four main approaches to privatisation outlined in the GoB’s policies, and the Ministry of Health (MoH) has been a leader in the privatisation policy by initiating outsourcing of nonclinical services at seven regional and district hospitals. Without complete data on the costs of services, hospital managers have been signing outsourcing contracts without knowing whether outsourcing offers better value for money than the current ‘insourcing’ system, in which hospitals provide the nonclinical services in-house.
The HFG project, with support from the United States Agency for International Development (USAID), was tasked with exploring the costs and cost drivers of providing nonclinical support services at health facilities in Botswana to assist the MoH with planning, managing, and implementing its outsourcing strategy and programme. Based on a cost-benefit analysis of cleaning services at Mahalapye General Hospital, and observations from outsourcing in six other hospitals in Botswana, this report analyses the costs and benefits of outsourcing nonclinical services, and provides Botswana health authorities and managers with best practices and recommendations for determining whether they should outsource and at what price.
Trends in health financing and the private health sector in the middle east a...HFG Project
In the past several decades, countries in the Middle East and North Africa have made significant improvements in developing their health systems and improving the health status of their populations. However, the region continues to face substantial and diverse political, macroeconomic,social, and health challenges. In 2010–2011, the mass uprisings over high unemployment, poverty, and political repression known as the Arab Spring began in several countries. These events led to a wave of social and political upheaval that had enduring repercussions throughout the region. Iraq, Libya, Syria, and Yemen remain embroiled in prolonged violent conflicts. Other countries are more stable but undergoing significant changes and reforms.
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Tax Reform and Resource Mobilization for HealthHFG Project
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Understanding the Challenges of Street ChildrenSERUDS INDIA
By raising awareness, providing support, advocating for change, and offering assistance to children in need, individuals can play a crucial role in improving the lives of street children and helping them realize their full potential
Donate Us
https://serudsindia.org/how-individuals-can-support-street-children-in-india/
#donatefororphan, #donateforhomelesschildren, #childeducation, #ngochildeducation, #donateforeducation, #donationforchildeducation, #sponsorforpoorchild, #sponsororphanage #sponsororphanchild, #donation, #education, #charity, #educationforchild, #seruds, #kurnool, #joyhome
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
Recordings are on YouTube and the company website.
https://www.youtube.com/@jenniferschaus/videos
A process server is a authorized person for delivering legal documents, such as summons, complaints, subpoenas, and other court papers, to peoples involved in legal proceedings.
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At Up the Ratios, we believe that every student, regardless of their socio-economic background, should have access to the tools and knowledge needed to succeed in today's technology-driven world. To achieve this, we host a variety of free classes, workshops, summer camps, and live lectures tailored to students from underserved communities. Our programs are designed to be engaging and hands-on, allowing students to explore the exciting world of robotics and STEM through practical, real-world applications.
Our free classes cover fundamental concepts in robotics, coding, and engineering, providing students with a strong foundation in these critical areas. Through our interactive workshops, students can dive deeper into specific topics, working on projects that challenge them to apply what they've learned and think creatively. Our summer camps offer an immersive experience where students can collaborate on larger projects, develop their teamwork skills, and gain confidence in their abilities.
In addition to our local programs, Up the Ratios is committed to making a global impact. We take donations of new and gently used robotics parts, which we then distribute to students and educational institutions in other countries. These donations help ensure that young learners worldwide have the resources they need to explore and excel in STEM fields. By supporting education in this way, we aim to nurture a global community of future leaders and innovators.
Our live lectures feature guest speakers from various STEM disciplines, including engineers, scientists, and industry professionals who share their knowledge and experiences with our students. These lectures provide valuable insights into potential career paths and inspire students to pursue their passions in STEM.
Up the Ratios relies on the generosity of donors and volunteers to continue our work. Contributions of time, expertise, and financial support are crucial to sustaining our programs and expanding our reach. Whether you're an individual passionate about education, a professional in the STEM field, or a company looking to give back to the community, there are many ways to get involved and make a difference.
We are proud of the positive impact we've had on the lives of countless students, many of whom have gone on to pursue higher education and careers in STEM. By providing these young minds with the tools and opportunities they need to succeed, we are not only changing their futures but also contributing to the advancement of technology and innovation on a broader scale.
Presentation by Jared Jageler, David Adler, Noelia Duchovny, and Evan Herrnstadt, analysts in CBO’s Microeconomic Studies and Health Analysis Divisions, at the Association of Environmental and Resource Economists Summer Conference.
Russian anarchist and anti-war movement in the third year of full-scale warAntti Rautiainen
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Thumbnail picture is by MediaZona, you may read their report on anti-war arson attacks in Russia here: https://en.zona.media/article/2022/10/13/burn-map
Links:
Autonomous Action
http://Avtonom.org
Anarchist Black Cross Moscow
http://Avtonom.org/abc
Solidarity Zone
https://t.me/solidarity_zone
Memorial
https://memopzk.org/, https://t.me/pzk_memorial
OVD-Info
https://en.ovdinfo.org/antiwar-ovd-info-guide
RosUznik
https://rosuznik.org/
Uznik Online
http://uznikonline.tilda.ws/
Russian Reader
https://therussianreader.com/
ABC Irkutsk
https://abc38.noblogs.org/
Send mail to prisoners from abroad:
http://Prisonmail.online
YouTube: https://youtu.be/c5nSOdU48O8
Spotify: https://podcasters.spotify.com/pod/show/libertarianlifecoach/episodes/Russian-anarchist-and-anti-war-movement-in-the-third-year-of-full-scale-war-e2k8ai4
Many ways to support street children.pptxSERUDS INDIA
By raising awareness, providing support, advocating for change, and offering assistance to children in need, individuals can play a crucial role in improving the lives of street children and helping them realize their full potential
Donate Us
https://serudsindia.org/how-individuals-can-support-street-children-in-india/
#donatefororphan, #donateforhomelesschildren, #childeducation, #ngochildeducation, #donateforeducation, #donationforchildeducation, #sponsorforpoorchild, #sponsororphanage #sponsororphanchild, #donation, #education, #charity, #educationforchild, #seruds, #kurnool, #joyhome
What is the point of small housing associations.pptxPaul Smith
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Targeting the Poor for Universal Health Coverage Program Inclusion: Exploring a More Effective Pro-poor, Targeting Strategy
1. June 2018
This publication was produced for review by the United States Agency for International Development.
It was prepared by (Hossain Zillur Rahman, Mohammad Abdul Wazed) for the Health Finance and Governance Project.
TARGETING THE POOR FOR
UNIVERSAL HEALTH COVERAGE
PROGRAM INCLUSION:
EXPLORING A MORE EFFECTIVE
PRO-POOR TARGETING STRATEGY
2. The Health Finance and Governance Project
USAID’s Health Finance and Governance (HFG) project will help to improve health in developing countries by
expanding people’s access to health care. Led by Abt Associates, the project team will work with partner
countries to increase their domestic resources for health, manage those precious resources more effectively,
and make wise purchasing decisions. As a result, this five-year, $209 million global project will increase the use
of both primary and priority health services, including HIV/AIDS, tuberculosis, malaria, and reproductivehealth
services. Designed to fundamentally strengthen health systems, HFG will support countries as they navigate the
economic transitions needed to achieve universal health care.
JUNE 2018
Cooperative Agreement No: AID-OAA-A-12-00080
Submitted to: Scott Stewart, AOR
Office of Health Systems
Bureau for Global Health
Recommended Citation: Hossain Zillur Rahman and M.A. Wazed. June 2018. Targeting the Poor for
Universal Health Coverage Program Inclusion: Exploring a More Effective Pro-poor, Targeting Strategy. Rockville, MD:
Health Finance & Governance Project, Abt Associates Inc.
Abt Associates Inc. | 6130 Executive Boulevard | Rockville, MD 20852
T: 301.347.5000 | F: 301.652.3916 | www.abtassociates.com
Avenir Health | Broad Branch Associates | Development Alternatives Inc. (DAI) |
| Johns Hopkins Bloomberg School of Public Health (JHSPH) | Results for Development Institute (R4D)
| RTI International | Training Resources Group, Inc. (TRG)
3. TARGETING THE POOR FOR
UNIVERSAL HEALTH COVERAGE
PROGRAM INCLUSION:
EXPLORING A MORE EFFECTIVE
PRO-POOR TARGETING STRATEGY
DISCLAIMER
The author’s views expressed in this publication do not necessarily reflect the views of the United States Agency
for International Development (USAID) or the United States Government.
4.
5. i
CONTENTS
Contents ..............................................................................................................i
Acronyms...........................................................................................................iii
Acknowledgments .............................................................................................v
Executive Summary ........................................................................................vii
1. Introduction ................................................................................................1
1.1 Poverty Context and Role of Safety Nets ........................................................................1
1.2 Rationale and Objectives of the Study................................................................................2
2. Scope and Implementation of the Qualitative Study ............................3
2.1 Scope.........................................................................................................................................................3
2.2 Design.......................................................................................................................................................3
2.3 Subjects and Sampling.....................................................................................................................4
2.4 Data Collection ..................................................................................................................................4
2.4.1 Guide for In-depth Interviews...............................................................................4
2.4.2 Guide for Focus Group Discussions with Implementers.....................5
2.4.3 Data Collection and Management.......................................................................6
2.5 Limitations .............................................................................................................................................6
3. Insights from the Literature .....................................................................7
3.1 What is Targeting .............................................................................................................................7
3.2 Key Conceptual Insights...............................................................................................................7
3.2.1 Who Can Be a Target? ..............................................................................................7
3.2.2 Typical Targeting Errors ...........................................................................................7
3.2.3 Understanding Targeting Performance............................................................7
3.3 Key Operational Insights..............................................................................................................8
3.3.1 Methods...............................................................................................................................8
3.3.2 Proxy Means Test Methodology..........................................................................8
3.3.3 Information Types and Collection Options..................................................9
3.3.4 Contextual Factors.......................................................................................................9
3.4 Advantages and Disadvantages of Targeting Methods...............................................9
3.5 Country “Best Practice” Examples .....................................................................................11
4. Qualitative Review of Targeting Approaches in Six Safety Net
Programs...................................................................................................13
4.1 Brief Overview of Selected Programs and Research Design .............................13
4.2 Target Group and Eligibility Criteria .................................................................................13
4.3 Targeting in Operation: Findings from the Qualitative Review ........................15
4.4 Targeting: Program-specific Field Realities ....................................................................18
4.4.1 GSK .....................................................................................................................................18
4.4.2 Sajeda Foundation ......................................................................................................18
4.4.3 DSF ......................................................................................................................................19
4.4.4 UPHCSDP.......................................................................................................................20
4.4.5 EGPP...................................................................................................................................21
4.4.6 VGF......................................................................................................................................22
4.5 Inclusion Errors...............................................................................................................................22
5. Lessons learned ........................................................................................25
5.1 Lessons from the Qualitative Review ...............................................................................25
6. ii
5.2 Success Factors in Targeting...................................................................................................25
6. Overview of the National Household Database Project (formerly
Poverty Register initiative) .....................................................................27
6.1 Background........................................................................................................................................27
6.2 Objectives and Key Features..................................................................................................27
6.3 Can the National Household Database Contribute to Targeting?.................28
7. Recommendations ...................................................................................29
8. Conclusion.................................................................................................33
Annex A: List of Participants .........................................................................35
Annex B: Bibliography ....................................................................................37
List of Tables
Table E1: List of Recommnedations based on findings from the review .............................x
Table 1: Selected Programs for Review ....................................................................................................3
Table 2: Review Instruments and Purpose..............................................................................................4
Table 3: Participants for Interviews and FGDs.....................................................................................4
Table 4: Interview Guide ....................................................................................................................................4
Table 5: Guide for FGDs with Implementers........................................................................................5
Table 6: Conceptual Indicators of Targeting Performance...........................................................8
Table 7: Advantages and Disadvantages of Targeting Methods..............................................10
Table 8: Overview of Programs and Research Design .................................................................13
Table 9: Target Group and Eligibility Criteria ....................................................................................14
Table 10: Overview of Programs and Research Design ..............................................................15
Table 11a: Detail Findings from GSK.......................................................................................................18
Table 11b: Detail Findings from Sajeda Foundation .......................................................................18
Table 11c: Detail Findings from DSF project ......................................................................................19
Table 11d: Detail Findings from UPHCSDP project ......................................................................20
Table 11e: Detail Findings from EGPP ....................................................................................................21
Table 11f: Detail Findings from VGF project......................................................................................22
Table 12: Degree of Inclusion Error in Major Safety Net Programs ...................................23
Table 13: Summary of Findings and Suggested Recommendations.......................................29
Table 14: Matrix on Recommendations.................................................................................................30
List of Figures
Figure E1: Proposed Three-Stage Targeting Cycle ...........................................................................xi
Figure 1: Poverty Trends in Bangladesh ....................................................................................................1
Figure 2: Proposed Three-Stage Targeting Cycle ............................................................................31
7. iii
ACRONYMS
BBS Bangladesh Bureau of Statistics
DDM Department of Disaster Management
DGHS Directorate General of Health Services
DSF Demand-Side Financing
DORP Development Organizationof the Rural Poor
EGPP Employment Guarantee for the Poorest Program
FGD Focus Group Discussion
GOB Government of Bangladesh
GSK Gano Shasthaya Kendra
HEU Health Economics Unit
HFG Health Finance and Governance
HIES Health Income and Expenditure Survey
ID Identification
MOHFW Ministry of Health and Family Welfare
NHD National Household Database
NGO Non-Governmental Organization
NSSS National Social Security Strategy
OOP Out-of-Pocket
PIO Project Implementation Officer
PPRC Power and Participation Research Centre
PMT Proxy Means Testing
PSC Poverty Score Card
SAE Sub Assistant Engineer
SDG Sustainable Development Goal
SSK Shasthaya Shurokkha Karmashuchi
SSNP Social Safety Net Program
UHC Universal Health Coverage
UMT Unverified Means Testing
UNO Upazila Nirbahi Officer
UPHCP Urban Primary Health Care Project
USAID United States Agency for International Development
VGF Vulnerable Group Feeding
8.
9. v
ACKNOWLEDGMENTS
This report was commissioned by USAID’s Health Finance and Governance (HFG) project. The
research was undertaken by the Power and Participation Research Centre (PPRC), and led by Dr.
Mohammed Abdul Wazed, formerly Director General of the Bangladesh Bureau of Statistics and
currently Senior Fellow, PPRC. He was ably assisted by a team of field researchers from PPRC. The
report was prepared and finalized by Dr. Hossain Zillur Rahman, Executive Chairman, PPRC, with
contributions from Dr. Md. Abdul Wazed and PPRC field teams. We gratefully acknowledge the
useful comments from HFG reviewers, which helped towards finalization of the report. The support
of Dr. Mursaleena Islam and Dr. Shamima Akhter from HFG, as well as of Dr. Kanta Jamil from
USAID, is gratefully acknowledged. We hope the report will be of use to all those engaged in
ensuring better targeting outcomes in the mitigation of poverty in Bangladesh and beyond.
10.
11. vii vii
EXECUTIVE SUMMARY
Background
Bangladesh has rich experience in implementing a large number of social safety net programs
(SSNPs) that rely on targeting as a key operational tool. One priority, which remains significantly
under-addressed, is the poverty risk associated with high out-of-pocket (OOP) expenditure on
healthcare. With the adoptionof the Sustainable Development Goals (SDGs) that prioritize
Universal Health Coverage (UHC) as Goal 3.8, new programming initiatives must ensure inclusion of
the poor to help achieve UHC. However, targeting the poor presents both design and
implementation challenges for programs. It is thus very timely that the Power and Participation
Research Centre (PPRC) with support from USAID’s Health Finance and Governance (HFG) project
undertook a qualitative study exploringa more effective pro-poor targetingstrategy with the end-
goal of informing new program initiatives about better inclusion of the poor for UHC. The study was
a qualitative review of targeting approaches used in six selected programs covering both health and
non-health sectors, and implemented by both government and non-government organizations
(NGOs). The qualitative review was supplemented by a brief literature review and a summary look
at the Government’s new initiative to establish a national household database for assisting better
targeting by SSNPs.
Insights fromthe Literature
Why Targeting?
Targeting in the context of social protection refers to the social objective of concentrating
resources on those who need them – mainly the poor and vulnerable. Such an objective becomes
necessary when resources are not adequate to cover the entire population, or when the service in
question is not needed universally (e.g., services targeting seasonal employees in earth-work, or food
rations for food insecure households).
Who can be a target?
Targets could be: i) all of the poor in a program location; ii) specific segments of the poor (e.g.,
urban poor); iii) all households in poverty-prone geographic pockets; and/or iv) specific demographic
segments (e.g., women, children, or disabled).
Targeting errors
The two types of errors usually found in targeting are inclusion errors (i.e., inclusion of non-target
populations), and exclusion errors (due to under-coverage or social discrimination).
Understanding targeting performance
Targeting performance can be understood either as effective (i.e., minimizinginclusion errors) or
efficient (i.e., effective and cost-efficient in delivery). There is a trade-off between improving targeting
effectiveness and targetingefficiency – over-elaborate targeting may increase administrative costs to
the detriment of resources available for program coverage, and is a typical dilemma faced by
program managers.
12. viii
Targeting methods
There are five major categories of targeting methods:
i) Means testing based on household income—a cut-off income level is prescribed against which
eligible households are determined;
ii) Proxy means testing (PMT) based on easier-to-collect income proxy variables—a cut-off mark for
the composite proxy variable is prescribed against which eligible households are determined;
iii) Participatory targeting based on target identification through guided participation of the beneficiary
community;
iv) Self-selection whereby the very nature of the benefit (e.g., wage employment in onerous earth-
work) ensures that only the intended target (e.g., rural extreme poor) will apply; and
v) Geographic targeting whereby program coverage is focused on spatial concentrations of poverty
identified using poverty maps or direct observations.
Each targeting method has its advantages and disadvantages, and choosing one or the other will
depend on the specific purpose. For effective targeting, there are also other relevant contextual
factors to be considered, including: i) administrative capacity to undertake targeting; ii) availability
and quality of public information on target populations; iii) community/beneficiary willingness to
participate; and iv) clarity on who bears fiscal responsibility for the subsidy burden of targeting.
Methodology for Review of SSNPs
PPRC undertook a qualitative review of the targetingstrategies used by selected operational SSNPs.
Initially a core expert group was convened to brainstorm on targeting and how a review exercise
would best be pursued. A total of six programs covering both government and non-government
sectors, as well as health and non-health programs, were selected for review due to time and budget
constraints. These included four health programs: Gano Shashthaya Kendro (NGO), Sajeda
Foundation (NGO), maternal health voucher/demand-side financing (DSF) scheme (government), and
the Urban Primary Healthcare Project (UPHCP – government, local government, and NGO). The
remaining two were a workfare program, Employment Guarantee for the Poorest Program (EGPP),
and the food assistance project, Vulnerable Group Feeding (VGF). Both of these are government
programs implemented through rural local governments.
The review focused on the following questions:
vi) What are the main features of the targeting approaches?
vii) What are the rationales behind a specific targeting approach?
viii) What actions are taken during implementation of targeting?
ix) What are the gaps in targeting approaches and what are the recommendations to overcome them?
The purpose of the review was not to assess the performance of the SSNPs, but to learn about and
draw lessons for effective targeting in order to inform new programming initiatives for UHC in
Bangladesh. Data was collected at both head offices and field offices of the selected programs by an
experienced field research team from PPRC. The research included focus group discussions (FGDs),
key informant interviews, and targeting-related program document reviews.
Key Lessons
Targeting advantages must be balanced with the costs of targeting - overly elaborate eligibility
criteria and large investments in beneficiary household data collection (e.g., means testing or
PMT) impacts on the program scope and duration.
At the program level, an informationcampaign among the target populationis a crucial
complimentary investment to ensure optimal inclusion rates and program coverage.
13. ix ix
Targeting methods, such as means testing or PMT, may be suitable for contexts characterized by
chronic poverty but are unsuitable for contexts with transient poverty, i.e., where households
may be poor for part of the year, or when households newly fall into poverty. Such
circumstances are particularly significant in urban areas.
Where spatial concentration of poverty is a strong feature (e.g., in urban or peri-urban areas),
the location of the program facility is a critical success factor.
Choice of proxy variables for targeting remains a research challenge - e.g., while housing was a
strong poverty correlate up to the 1990s, it is much less so now.
Many programs provide identification (ID) cards to beneficiaries that serve as entitlement or
discount cards for defined services provided by the institution. Such cards are a promising entry
point for popularizing health insurance, as well as for targeting, provided supply-side factors do
not become critical bottlenecks.
Health services targeting the urban poor, particularly for mother and child healthcare services,
are often delivered through informal 'satellite clinics'. In reality, such 'satellite clinics' without
dedicated space or privacy - and often using beneficiary household space - have proven to be
largely ineffective and therefore undermine the potential benefits of targeting.
Both national and global experience is mixed on the success of targeting approaches.
Targeting mechanisms need not be mutually exclusive. While firm evidence is lacking, several
targeting methods applied simultaneously appear to prove more effective than reliance on a
single mechanism, at least in reducing errors of inclusion.
Success factors for targeting include: i) clarity on the target population; ii) well-chosen, effective,
and efficient eligibility criteria matching the program content; iii) applicationof an independent
eligibility verification system; iv) deployment of a monitoring and accountability framework of the
implementation process; and v) credible engagement of community actors.
Potential of the National Household Database for Targeting
The Government of Bangladesh (GOB) has developed a National Household Database (NHD) using
a PMT formula to improve targeting in SSNPs. Such databases, also known as social registries, are
being used in several countries with the support of the World Bank. However, challenges with their
use include but are not limited to: an inefficient data collectionprocess; ineffective management of
information; and system challenges for feasible and cost-efficient monitoring, verification, and
updating to minimize under-coverage (exclusion errors) or leakage (inclusion errors).
The overall objective of the NHD in Bangladesh is to support effective implementationof the
National Social Security Strategy (NSSS, 2015), the goal of which is “reducing poverty by better
targeting beneficiaries and improving the management of about 145 government social safety net
schemes”. The specific objective is to prepare a NHD to establish a register of poor households.
PPRC undertook a brief review of the current status of the NHD initiative to supplement its
qualitative review of selected SSNPs. The brief review indicates that NHD can contribute to
targeting if the following conditions are met: i) the NHD is updated at regular intervals (e.g., every
three years) to adjust for mobility within and across the poverty line; ii) each of the public safety net
schemes, possibly using the national ID number, are linked to the NHD; iii) NHD is linked with the
beneficiary management information system being developed at the Department of Disaster
Management (DDM); and iv) explicit beneficiary consent for makingpersonal information public is
built into the survey form—no form has been administered to collect such consent to date, and its
inclusion would avoid any ethical issues in the use of data for program implementation.
14. x
Recommendation
Table E1: List of Recommnedations based on findings from the review
Key Lessons from the Review Recommendation
An effective targeting approach is built,
not only on sound conceptual principles,
but also on sound operational
considerations.
Undertake an information campaign to ensure buy-in from the
target community and thus increase inclusion.
Ensure proximity to the facility providing services; this is a key
consideration for the poor, particularly in urban contexts where
distance entails both costs and unfamiliarity.
Use a fee-based entitlement card to clarify beneficiary expectations
on services and costs, and empower beneficiaries by giving a
measure of ‘identity’ to their transactions with the service
provider. None of the available entitlement cards have yet passed
the test of universal acceptance, and new programs will require
piloting and field-based testing.
All targeting approaches have their
strengths and weaknesses. An optimal
approach will build on insights from the
program review.
Combine geographic targeting with participatory approaches to
leverage the common phenomenon of spatial concentration of
poverty and ensure an element of social accountability, while also
avoiding heavy upfront cost burdens of a detailed survey. This
approach requires a robust verification system to avoid inclusion
and exclusion errors based on corruption and discrimination.
There are two serious drawbacks in the
utilization of the NHD for new
program-level targeting. Firstly, it is yet
to be completed and tested. Secondly,
current legal provisions prevent use of
the data, as explicit beneficiary consent
was not built into the survey form.
Pending the resolution of these issues,
the NHD is not likely to be relevant for
program-level targeting forthe next
three years.
To ensure that the completed NHD becomes relevant for
targeting in the future, the following are recommended:
Update the NHD at regular intervals (e.g., every three years) to
adjust for mobility within and across the poverty line;
Link the NHD to each of the public SSNPs, possibly using the
national ID number;
Link the NHD with the management information system of
beneficiaries being developed at the Department of Disaster
Management; and
Ensure beneficiary consent to making their personal information
public is built into the survey forms to avoid any ethical concerns
in the use of the data for program implementation.
A targeting strategy should involve, not
only the use of specific approaches, but
also monitoring of targeting outcomes
with learning for adaptation.
Deploy a “Three-Stage Cycle” targeting strategy that incorporates
pre-targeting, targeting, and post-targeting monitoring with
learning – see Figure 1 (Conceptualization: Hossain Zillur Rahman,
2018). This strategy should include a community-based approach
to reduce both errors of exclusion and inclusion, bringing the
added benefit of better understanding of the challenges involved in
ensuring targeting success.
15. xi xi
Figure E1: Proposed Three-Stage Targeting Cycle
Conclusions
Targeting is widely used in development to ensure the benefits of interventions flow to those most
in need. With renewed emphasis on equity in the SDGs, a strategic re-examination of targeting as a
strategy is particularly apt for newer areas of application, such as UHC. To be meaningful, such a re-
examination entails not only distilling the analytical debates on targeting, but also using learnings
from a range of program experiences where targeting is used. This review combined analytical and
experiential learnings to recommend a three-stage cycle incorporating pre-targeting, targeting, and
post-targetingmonitoring with learning for adaptation. Specifically for new UHC programming, the
review recommends a community-based approach combined with geographic targeting while
ensuring targeting efficiency to minimize both errors of inclusion and exclusion.
•Communityprofiledata
collectionandcollation:
poverty strata,social map,
wealth ranking,health-
seekingmap (datamaybe
availableeitherfrom
public information, e.g.,
official poverty maps,or
generated by theprogram
through survey or
participatoryappraisal).
•Information campaign
and rapportbuildingto
ensurecommunity
awarenessof theprogram
and its features.
Pre-targeting
•Eligibilitycriteriadefinition.
•Beneficiaryidentification
either through homevisits
(programto beneficiary) or
officevisits(beneficiary to
program).
•Entitlementcard (or
equivalent)to make
beneficiaryidentification
'official'.
Targeting
•Monitoring and
learning(either
for assessing
compliance,for
assessing
outcomes,or
both).
Post-targeting
16.
17. 1
1. INTRODUCTION
1.1 Poverty Context and Role of Safety Nets
Although there has been a significant decline in both poverty and extreme poverty in Bangladesh,
data from the latest Household Income and Expenditure Survey (HIES, 2016) shows one in four
people still live below the poverty line, and one in eight remain below the extreme poverty line, as
defined by the Bangladesh Bureau of Statistics (BBS) - see Figure 1. Not only does poverty continue
to be a significant challenge, it is compounded by additional vulnerabilities due to natural disasters,
climate change, and unplanned urbanization.
Figure 1: Poverty Trends in Bangladesh
Declining Poverty Rate Absolute number
of poor is still
very large:
39 million out of a
population of 160
million live below
the poverty line.
12.9% were
extreme poor in
2016 – although a
significant decline
from 34.3% in
2000, this is still 20
million people.
Source: HIES (2000-2016),BBS
The GOB is committed to the fight against and addressing vulnerabilities to poverty; 23 of its
ministries implement 145 public safety net programs designed to mitigate the impact of poverty over
the long-term. This substantial program portfolio has addressed the extremes of poverty and
provided a crucial cushion, ensuring disaster resilience. However, there are areas that remain
unaddressed, specifically the poverty risk associated with high OOP expenditure on healthcare. With
the adoption of the SDGs, which prioritize UHC as Goal 3.8, there is a challenge for new
programming initiatives to focus on inclusion of the poor in social protection to help achieve UHC.
There is increasing recognition by the GOB and other stakeholders of the need to improve equity,
efficiency, and transparency in SSNPs. The urgency is not only to increase coverage of existing
programs but focus new programs on achieving UHC. The National Health Accounts (2015)
calculate OOP expenditure at 67% of total health expenditure – at present, 5.2 million people in
Bangladesh are at risk of being pushed into poverty due to OOP health spending (WHO, 2017).
Expanding coverage of SSNPs per se is not the priority, but ensuring programs are targeted primarily
towards the poor. Such targeting is a widely-practiced policy goal. However, targeting the poor
24.3
12.9
40
48.9
31.5
34.3
25.1
17.6
0
10
20
30
40
50
2000 2005 2010 2016
Year
Upper Poverty Line Lower Poverty Line
18. 2
presents challenges in the design of effective instruments and in implementation strategies that can
yield desired results. Other issues that need to be addressed adequately include targeting the right
people, overlapping coverage, corruption, leakages, and lack of coordination. This qualitative study,
undertaken by the PPRC with support from USAID’s HFG project, is therefore very timely. It
explores and seeks to identify a more effective pro-poor targeting strategy, which is relevant not
only for achieving the SDGs in general, but for newer programming areas such as UHC in particular.
UHC emphasizes reaching every person in the country including the poor, vulnerable, and the
marginalized; without effective targeting, programs may miss precisely those who are most in need
of services.
1.2 Rationale and Objectives of the Study
In 2015, USAID’s health financing assessment identified the need to define clear approaches for
targeting the poor in health insurance schemes (Cavanaugh, et al., 2015). The literature and
experiences in Bangladesh in general focus more on anti-poverty than health insurance – health
insurance schemes focused on the poor is a relatively new concept. However, there is growing
recognition of the poverty risks associated with high OOP expenditure on health and the
concomitant need to explore new programming which can address such risks. As Bangladesh scales
up both new and existing UHC-related safety net initiatives, including those focused on relatively
under-addressed areas such as health finance risk mitigation, the time is right for a rapid qualitative
study to distill key lessons from existing targeting experiences and identify more effective targeting
strategies. This is very relevant for the GOB, as well as other stakeholders, including development
partners and NGOs. Qualitative research instruments are particularly appropriate for examining
process realities and implementer perspectives. This study was initiated to identify lessons on
targeting that could be drawn from experiences of SSNPs covering both health and non-health
sectors to inform the design of initiatives to protect the poor from the burden of OOP expenditure
on health.
This study had four objectives:
To distill conceptual and operational lessons from the literature on the nature and use of
targeting approaches, including factors determining success and best practices;
To assess the potential of the government’s NHD/poverty register initiative for new social
protection programming;
To undertake a rapid qualitative review of six selected SSNPs to understand targeting
approaches in operation; and
To develop recommendations for an improved and operationally effective targeting strategy for
UHC-related programs in Bangladesh.
19. 3
2. SCOPE AND IMPLEMENTATION OF THE QUALITATIVE
STUDY
2.1 Scope
The main purpose of the study was to qualitatively assess current targeting approaches and
experiences of selected programs to explore effective pro-poor targeting strategies for UHC-related
program design. Programs for the review were selected by an expert group, a meeting of which was
convened by PPRC in consultation with HFG in June 2017. The selection was subsequently finalized
through internal reviews at PPRC. The expert group meeting recommended inclusion of both
government and non-government programs, as well as programs covering both health and non-
health, to ensure wider understanding of targetingstrategies.
Six programs were selected. Two important initiatives – the Ministry of Health and Family Welfare’s
(MOHFW’s) ShasthayaShurakkha Karmashuchi (SSK) project and the Smiling Sun program
supported by USAID – were excluded from this study following advice from USAID and HFG as
they were being assessed separately by their respective sponsoring institutions. Table 1 lists the six
selected programs.
Table 1: Selected Programs for Review
Name of Program Program Focus Type of Implementing Organization
Gano Shashthaya Kendro’s (GSK)
program
Health NGO
Sajeda Foundation’s program Health + micro-
finance
NGO
Maternal Health Voucher/Demand Side
Financing (DSF) program
Health MOHFW
Urban Primary Health Care Project
(UPHCP)
Health Ministry of Local Government and Rural
Development (MLGRD) + City
Corporation/Pourashava + NGO
Employment Generation Program for the
Poorest (EGPP)
Workfare DDM + UPAZILA NIRBAHI OFFICER
(UNO) + Union Parishad
Vulnerable Group Feeding (VGF) program Humanitarian
assistance
DDM + UNO + Union Parishad
2.2 Design
The study was not a traditional impact assessment, and its design did not allow for direct interviews
with beneficiaries due to legal restrictions around confidentiality and consent. The approach was
instead a qualitative review of targeting strategies adopted by selected programs and how they were
being implemented in practice. The assessment was undertaken using three research instruments,
summarized in Table 2.
20. 4
Table 2: Review Instruments and Purpose
Instruments Purpose
Desk review
To establish a description of the targeting approach adopted by the program
and its policy antecedents (if available).
In-depth interviews
To obtain an understanding of the policy rationale for the targeting approach
and expected program outcomes, as well as to what extent targeting was a
priority concern for program managers and independent views.
FGDs
To obtain an understanding of how the targeting approach was working in
practice, to identify gaps if any and the necessity for revision.
2.3 Subjects and Sampling
Table 3 describes the interview and FGD participants for each of the selected programs4
Table 3: Participants for Interviews and FGDs
Name of Program In-depth Interviews FGDs
GSK program Institutional Head
Program Manager
Field managers
Service center worker
Sajeda Foundation’s program Institutional Head
Health Program Manager
Field managers
Service center worker
Maternal health voucher/DSF
program
Ministry-level policy actor
Program Manager at the
Directorate General, Health
Services (DGHS)
Chairman, Department of the
Rural Poor (DORP, NGO)
Field managers
Service center worker
UPHCP Ministry-level policy actor
Project Director
City Corporation Chief
Health Officer/Mayor
Development partner
(African Development Bank)
Field managers
Service center worker
EGPP Project Director
Ministry-level policy actor
Department-level Program
Specialist
UNO + associates
Union Parishad Chair +
associates
VGF program Director, VGF UNO + associates
Union Parishad Chair +
associates
For the interviews, one interviewee from each category was chosen, and the interviews were
conducted individually. For the FGDs, the number of participants from each subject type ranged
from three to five. Participants were identified during a reconnaissance visit to the programs prior to
the actual FGDs. The list of interviewees and FGD participants is provided in the Annex to this
report.
2.4 Data Collection
2.4.1 Guide for In-depth Interviews
Table 4: Interview Guide
21. 5
Key Consideration Questions
1. Rationale for the
choice of
targeting criteria
a. What is the service or services provided by the program?
b. What is the catchment area of a service center? How many people or
households does each service center cater for?
c. Are there sufficient resources to deliver benefits to everyone whoneeds
them?
d. Is the service targeted at a particular group of people? Who is in the
target group for each of the services provided?
e. What are the targeting criteria?
f. Why have these criteria been chosen? How were they developed?
g. How do you identify the targeted individuals or households? Do you use
data? What data sources are used to apply the targeting criteria? How
often is the data updated?
h. Please describe how the targeting strategy is implemented.
2 .Key policy
challenges
a. Are there any gaps in the targeting policy? What are the gaps?
b. Have there been any changes in the targeting policy?
c. Are there any challenges in implementing the targeting strategy in the
field?
d. Have you been able to address the challenges? How?
e. Does the target population have access to a grievance redressal
mechanism?
f. If not, do you think one should be set up? What is the most feasible
grievance redressal mechanism in your context?
3. Areas for
improvement
a. Does the targeting policy require improvement?
b. Does implementation of targeting need improvement?
c. If yes, in what specific areas?
2.4.2 Guide for Focus Group Discussions with Implementers
Table 5: Guide for FGDs with Implementers
Key Consideration Questions
1. In your
experience, how
well is the
targeting strategy
working in
practice?
a. Are there specific guidelines for selecting or targeting service seekers?
b. Are those guidelines relevant, adequate, and useful?
c. Are there problems of including people who do not qualify (inclusion
error) or excluding people who should have been included (exclusion
error)? Any examples where you have noticed these errors?
d. Is there any supervision or monitoring to ensure effective implementation
of the targeting strategy?
e. How important is grievance redressal for beneficiaries? Does grievance
redressal work effectively? How can it be made more effective?
f. Are there specific barriers or difficulties to implementing the targeting
strategy?
g. How adequate are the data sources required for implementing the
targeting strategy?
h. Are there differences in how the targeting strategy is laid out in policy
and how it is implemented in practice?
i. Are there capacity weaknesses in implementing the targeting strategy? If
yes, what are these weaknesses?
2 Areas for
improvement
a. Does the targeting strategy require improvement?
b. If yes, in what specific areas?
c. If you were to change one thing to improve targeting outcomes, what
would you chose?
22. 6
Separate instructions were provided to the field researcher to ensure that interviewees and FGD
participants understood the purpose of the study and were given assurance of privacy/confidentiality.
2.4.3 Data Collection and Management
An experienced team of four field researchers from PPRC undertook the data collection following a
full-day’s training. The first training session focused on the purpose of the study and an analytical
discussion about the issue of targeting, and the second session reviewed the guides for the in-depth
interviews and FGDs. Dr. Hossain Zillur Rahman and Dr. Md. Abdul Wazed facilitated the training
sessions.
The interview guides were pre-tested during the reconnaissance visit to selected programs. Relevant
project documents were also collected during the reconnaissance visit for the desk review.
During data collection, each group was given a brief orientation on the purpose of the
interview/FGD and its likely duration, and given an assurance of privacy/confidentiality.
Care was taken to protect human subjects. The interviews and FGDs were only conducted after a
proper consent process was applied. Privacy and confidentiality were maintained both during data
collection and data management with only authorized personnel handing data.
2.5 Limitations
Some of the interviewees and FGD participants in both government and non-government programs
were reluctant to voice any critical opinions about targeting approaches or their implementation.
While this was acknowledged as a possible limitation of the study, the field research team was able
to establish the required rapport and ensure a robust discussion on the issues due to their long
experience in research.
23. 7
3. INSIGHTS FROM THE LITERATURE
3.1 What is Targeting
Targeting in the context of social protection refers to the objective of concentrating resources from
programs (for example, for food insecurity, disaster relief, health, education, or employment) on
those who need them most - mainly the poor and vulnerable (The World Bank, 2005). Such an
objective becomes necessary when resources are not adequate to cover the entire population (i.e.,
universal coverage is not possible), or when there is not a universal need for the service in question
(e.g., off-season employment in earth-work, or food support for food insecure households). An
important objective of targeting is to maximize the impact of the program with the least delivery
cost. However, targeting has both advantages and costs. For example, high delivery costs can take
resources away from programs and impact on coverage. In addition, there are multiple methods of
implementing targeting, none of which are foolproof, and targeting itself can present implementation
challenges (Slater and Farrington, 2009). The key objective in effective targeting is to minimize
inclusion of non-target populations while avoiding unwarranted exclusion of the target population.
3.2 Key Conceptual Insights
3.2.1 Who Can Be a Target?
A crucial issue in targeting is clarity on who can be a target. Target populations can be economic,
social, geographic, or demographic in nature (Coady, et al., 2004; Gawtkin, 2000). Programs with a
wide scope can target all the economically poor among a population, while other programs may
target specific segments, e.g. the urban poor. Targets can also be geographically determined, e.g.
poverty-prone geographic pockets or hard-to-reach remote locations. Moreover, targets can be
demographically determined, i.e., specific vulnerable population segments, such as women, children,
or the disabled.
3.2.2 Typical Targeting Errors
Global experience of targeting shows the need to be aware of two typical targeting errors (Gawtkin,
2000; Garcia-Jaramillo and Mirati, 2014). The first is leakage and/or under-coverage, which results in
the inclusion of non-target populations in the program. This can happen for reasons of design (e.g.,
unclear or poorly-defined eligibility criteria), or reasons of governance (e.g., lack of transparency and
accountability). Inclusion errors are a widespread problem but can be addressed or minimized
through better design and greater attention to governance issues. The second category of targeting
errors is exclusion, which results in the exclusion of the intended target population from the
program. This can happen for reasons of poor design, or budget inadequacy. However, exclusion can
also occur due to reasons of social discrimination against specific eligible but marginalized social
groups, or the use of program resources for non-target groups.
3.2.3 Understanding Targeting Performance
The literature highlights two performance-related concepts, the first of which is subsumed in the
second (García-Jaramillo and Miranti, 2014) – see Table 6. The first is effectiveness – targeting is
deemed effective if its implementation succeeds in minimizing both inclusion and exclusion errors,
i.e. it ensures that non-target populations are not included in the program and eligible beneficiaries
are not excluded. However, it is not enough to only minimize errors; targeting must also be cost-efficient.
24. 8
Thus, the second performance concept is efficiency – targeting is efficient when it simultaneously
minimizes inclusion errors and ensures the cost of delivery is kept to a rational minimum.
Table 6: Conceptual Indicators of Targeting Performance
Conceptual Indicator on Targeting
Performance
Explanation
Effectiveness Minimize inclusion error
Efficiency Minimize inclusion error + ensure cost-efficient
program delivery
In reality, there is usually a compromise betweenimproving effectiveness and improving efficiency
(Slater and Farrington, 2009). Over-elaborate targeting (to increase effectiveness) may increase
administrative costs, thus reducing resources available for program coverage. This is a typical
dilemma faced by program managers. Targeting efficiency is therefore the larger goal rather than the
narrower goal of targeting effectiveness.
3.3 Key Operational Insights
3.3.1 Methods
Targeting methods encompass eligibility criteria as well as implementation approaches. Eligibility
criteria can include economic, social, demographic, or spatial factors.
The literature indicates five major categories of targeting methods (PPRC and UNDP, 2011):
i. Means testing based on household income – a cut-off income level is prescribed against
which eligible households are determined. This method pre-supposes availability of robust
household income data.
ii. PMT based on easier-to-collect income proxy variables – a cut-off mark for the composite
proxy variable is prescribed against which eligible households are determined.
iii. Participatory targeting based on target identification through guided participation of
beneficiary community, again using various income proxies as deemed relevant by the
community.
iv. Self-selection whereby the very nature of the benefit (e.g., wage employment in onerous
earth-work) ensures that only the intended target (e.g., rural extreme poor) will apply.
v. Geographic targeting whereby spatial concentrations of poverty are identified using poverty
maps or direct observations.
3.3.2 Proxy Means Test Methodology
The term "proxy means test" is used to describe a situation where “information on household or
individual characteristics correlated with welfare levels is used in a formal algorithm to proxy
household income, welfare, or need”(Grosh and Baker, 1995). PMT involves using observable and
verifiable household or individual characteristics, which are selected based on their ability to predict
welfare as measured by, for instance, consumption expenditures of the households. PMT can
distinguish chronic poverty, making it an appropriate targeting option where the depthand severity
of poverty are relatively high (Grosh and Baker, 1995).
Sophisticated means testing, such as assessing the financial or economic status of an individual or
family for the purposes of determining their eligibility for government assistance, presents
bureaucratic and administrative difficulties. For example, precise measurements of income or
consumption are often unavailable or difficult to obtain. It is often burdensome to assess how much
25. 9
a family earns or spends every month – in Bangladesh, only a few hundred thousand people receive
personal income statements. In addition, household members themselves might not be able to
report family consumption as they seldom maintain detailed records. In such situations, it may be
possible to use other household characteristics as proxies for income (The World Bank, 2005). For
example, a family living in a brick-walled house will likely be wealthier than a family living in a house
made of clay. The type of wall is the “proxy” because it can be used to approximate the level of
household income or consumption. Naturally, using only one proxy value will render the estimations
very imprecise—there is still great variability in incomes, even between families living in houses made
of clay. The “wealthy” living in brick-walled houses might also own livestock, such as cattle, and
therefore “livestock ownership” can be added as another proxy variable. Other layers of proxy
variables may be added until a PMT model is defined that includes a set of variables and weights
associated with them to accurately predict the welfare of each household. In practice, most PMT
models use more than a dozen different variables.
3.3.3 Information Types and Collection Options
Information relevant to targeting usually falls into two types: i) information about the area or
community; and ii) information about the beneficiary, whether an individual or a household.
Beneficiary information can be collected either actively by the program (i.e., program workers visit
beneficiaries at their home or workplace), or passively (i.e., by making the beneficiaries responsible
for informing the program of their eligibility). The former increases program costs while the latter
increases the risk of exclusion.
3.3.4 Contextual Factors
From an operational perspective, there are four key contextual factors with significant bearing on
targeting:
Adequate administrative capacity – such capacity cannot be assumed as administrative capacity is
rudimentary in many developing countries, and insufficient to implement an ambitious targeting
approach. The choice of targeting approach therefore needs to align with the available
administrative capacity.
Availability and quality of public information about target populations – in the absence of such
information, programs may need to generate their own data for targeting. This may result in a
cost burden for programs and impact on program coverage.
Community/beneficiary willingness to participate – this also cannot be assumed and may require
information campaigns.
Responsibility for the financial cost of targeting – this may not be borne by public resources.
Clarity about who bears the fiscal responsibility for the cost of targeting is essential, as lack of
clarity can affect program sustainability.
3.4 Advantages and Disadvantages of Targeting Methods
The literature brought out the advantages and disadvantages of each of the major targeting
approaches (Grosh, 2008). These are summarized in the Table 7.
26. 10
Table 7: Advantages and Disadvantages of Targeting Methods
Method Features Advantages Disadvantages Contexts for
Application
Means testing Assessment of
household
income against
a threshold or
cut-off point.
Accurate. Requires high
levels of literacy
and
documentation
of income.
Administratively
demanding.
May induce
work
disincentives.
High
administrative
capacity.
Reported income
is verifiable.
Benefits to
beneficiaries
sufficient to
justify costs of
administration.
PMT Household
“score” based
on a small
number of
easily
observable
characteristics
with a weight
obtained from
analysis of
household
data, and
comparing
“score” against
a pre-
determined
cut-off point.
Easily
observable and
verifiable
household
characteristics.
Poverty
correlates
must be
relevant and
robust proxies
for income.
Requires large
body of literate
and computer-
trained staff, as
well as access
to technology.
Inherent
inaccuracies at
household level,
although good
on average.
Insensitive to
quick changes in
welfare and
mobility, such
as in urban
slums.
Programs meant
to address
chronic poverty
in stable
situations.
A large program
or several
programs to
maximize return
on investment.
Community
targeting
Program
arranges for
community
leaders and
beneficiary
groups to
establish social
maps and
wealth
ranking.
Depends on
the accuracy of
existing
information,
such as
poverty maps.
Performs
poorly where
poverty is not
spatially
concentrated.
Local actors
may have other
incentives
besides robust
targeting of the
program.
May continue
or exacerbate
patterns of
social exclusion.
Diverse local
definitions of
welfare may
make evaluation
more difficult
Where local
communities are
clearly defined
and cohesive.
Small-scale
programs.
Where a large
administrative
presence is not
feasible.
Geographic
targeting
Eligibility for
benefits
determined by
location of
residence.
Choice of
locations
based on
existing
information,
Administrativel
y simple.
Easy to
combine with
other methods
Depends on the
accuracy of
existing
information,
such as poverty
maps.
Performs poorly
where poverty is
not spatially
concentrated.
Where
considerable
variations exist in
living standards
across regions.
Where delivery
of an
intervention will
use a fixed site,
such as a school,
27. 11
Method Features Advantages Disadvantages Contexts for
Application
such as
poverty maps.
clinic, or local
government
office.
Demographic
targeting
Eligibility
determined by
demographic
characteristics,
such as age or
gender.
Administrativel
y simple.
Low stigma.
Often
politically
popular.
Works well
when
combined with
community
targeting.
Inaccurate
where
demographic
characteristics
are poor
correlates of
poverty.
Where
registration of
vital statistics or
other
demographic
characteristics are
extensive.
Where a low-cost
targeting method
is required.
Self-selecting A program,
good, or
service that is
open to all but
designed in
such a way
that take-up
will be much
higher among
the poor than
the non-poor
e.g., workfare
programs.
Administrative
costs of
targeting likely
to be low.
Unlikely to
induce labor
disincentives.
There may be
social stigma
associated with
a self-selecting
program, good,
or benefit.
Where there is
great demand for
such
opportunities e.g.,
extreme poverty
pockets.
Settings where
individuals are
moving rapidly in
and out of
poverty.
3.5 Country “Best Practice” Examples
Two examples are described below from the literature review that merit attention as potential “best
practices”. The first is Pantawid Pamilyang Philipino Programme, or “4Ps” from the Philippines, and
the second is the Bolsa Familia program from Brazil. The case studies provide a brief overview of the
salient features of these programs and a brief analytical listing of key factors which underlie their
depiction as best practices.
Case Study 1
Pantawid Pamilyang Philipino Programme (4Ps), Philippines
Key Features
Started in 2007, and continued under a Parliamentary Act since 2010, 4Ps is a conditional cash transfer
program and is currently the largest SSNP in the Philippines.
The program is intended to: i) reduce extreme hunger and poverty; ii) achieve universal primary
education; iii) promote gender equality and empowerment of women; iv) reduce child mortality and
improve nutrition; and v) improve maternal health (Section 3 of the Act).
Benefits as cash are directly transferred to the respective bank accounts of beneficiary households.
Failure by the beneficiary household to comply with conditions set by the program, or if the household
no longer meets the eligibility criteria, warrants suspension and/or removal from the program.
The program combines multiple targeting methods: PMT + geographic targeting + community
engagement.
Benefits are variable depending on the number of children in the household.
28. 12
Why best practice?
Scale
Addresses multi-dimensional poverty
Combines multiple targeting methods
Effective implementation; and
Evaluation provides credible evidence of intended outcomes.
Case Study 2
Bolsa Familia, Brazil
Key Features
Started in 2003, Bolsa Familia integrated four previous SSNPs to provide cash grants to beneficiaries on
condition of their complying with prescribed education and health-related actions.
The program aims to both reduce short-term poverty through direct cash transfers, and fight long-term
poverty by increasing human capital among the poor through conditional cash transfers.
Brazil has developed its unified registry, Cadastro Unico, based on data collected using Unverified
Means Testing (UMT) to select families for eligibility in Bolsa Familia and other SSNPs.
Using UMT, data collected on self-reported household incomes is compared to pre-determined
eligibility criteria. However, use of self-determined incomes risks mismeasurement and fraud due to
seasonal, informal, or in-kind earnings. To overcome this, most municipalities use geographic tools, such
as local area poverty or vulnerability maps. Thus geographically poor or poverty pockets are given
priority for registration.
Why best practice?
Merges several pre-existing programs
Addresses multi-dimensional poverty
Combines multiple methods to overcomecost-heavy incomesurvey
Evaluation provides credible evidence on intended outcomes
29. 13
4. QUALITATIVE REVIEW OF TARGETING APPROACHES IN
SIX SAFETY NET PROGRAMS
4.1 Brief Overview of Selected Programs and Research
Design
Programs were selected for the qualitative review througha process of stakeholder consultations
and in-house brainstorming. As already mentioned, the choice of programs was guided by the desire
to ensure diversity in focus (health/non-health) and implementer (government/non-government).
Four of the six selected programs were health-focused, one was employment focused, and one was
food support focused. The field research for the qualitative review was undertaken both with
headquarter and field staff in their field locations. Table 8 provides a brief overview of the programs
and the research design.
Table 8: Overview of Programs and Research Design
Name of
Program
Program Focus Nature of
Implementing
Organization
Research
Strategy
Research
Questions
GSK General
healthcare
NGO FGDs and key
informant
interviews
Both HQ and field
office staff
Targeting features
Targeting rationale
Targeting in action
Gaps and
recommendations
Sajeda
Foundation
General
healthcare
NGO
Maternal
Vouchers
(DSF)
Healthcare for
pregnant
women
MOHFW
UPHCP Mother and
child
healthcare for
urban poor
MLGRD + City
Corporations/
Pourashavas +
NGOs
EGPP Eighty days
guaranteed
employment
for rural
extreme poor
Department of
Disaster
Management +
Union Parishads
VGF Food support Department of
Disaster
Management +
Union Parishads
4.2 Target Group and Eligibility Criteria
Each of the selected programs employed targeting approaches. Table 9 provides an overview of the
target group and eligibility criteria used by each of the selected programs.
30. 14
Table 9: Target Group and Eligibility Criteria
Program and
Focus
Target Group Eligibility Criteria
GSK:
General healthcare
with special focus
on maternal and
child health
Rural population of the
catchment area of an Area
Office and its sub-centers
Households are grouped into six categories
and provided with color-coded health cards:
Group A (extreme poor/poor): i) no fixed
residence, and ii) depend on others for living.
Group B (lower middle class): i) monthly
income between Tk. 3-5 thousand, and ii)
mainly labor occupations.
Group C (upper middle class): i) monthly
income between Tk. 5-10 thousand, and ii)
mainly marginal farmers/petty business.
Group D (less rich): i) monthly income
between Tk. 10-20 thousand, ii)
service/business occupations and also surplus
agri production, and iii) can pay zakat.
Group E (rich): i) monthly income between
Tk. 20-30 thousand, ii) multiple occupations,
and iii) vehicle owner.
Group F (very rich): i) monthly income above
Tk 30 thousand, ii) multiple income sources,
iii) multiple houses, and iv) socially identified
as rich.
Sajeda
Foundation:
General healthcare
with special focus
on maternal and
child health
Urban and peri-urban poor All those who pay annual fee of Tk. 150 are
eligible for a health card either for an
individual or a family.
Micro-credit borrowers of Sajeda Foundation
are eligible for a card against annual fee.
Sajeda Foundation does not have an explicit
eligibility criteria to identify ‘poor’; patients
who walk-in and have obtained a card may be
assessed subjectively by the attending
physician to determine whetherthey are
eligible for a discount.
DSF:
Maternal care for
poor pregnant
women
Poor pregnant women in
selected high-poverty
upazilas
Functionally landless (owning less than 0.15
acres of land).
Earning extremely low and irregular income
or no income (less than Tk. 2,500 per
household per month).
Owning noproductive assets, such as
livestock, orchards, rickshaw, or van.
UPHCSDP:
Maternal and child
health (MCH) care
for urban poor
Urban poor of selected
pourashava/city
corporations
Information is collected on the following
indicators: i) monthly income; ii) monthly
expenditure; iii) monthly house rent; iv)
family assets; v) annual expenditure on food,
health, and education; vi) debt; vii) source of
water; and viii) presence of disabled member.
The collected information is processed by the
implementing institution to arrive at an
individual ‘score’ for the intending beneficiary
household.
Scoring procedure is explicitly spelt out.
Only those scoring below 20 in major city
corporations, below 15 in other city
31. 15
Program and
Focus
Target Group Eligibility Criteria
corporations, and below 10 in municipalities,
are eligible for free services for defined
ailments in a defined health facility in the
locality.
EGPP:
Off-season
employment
Rural extreme poor Land-ownership below 10 decimals.
Monthly family income below Tk. 4,000.
Primary occupation: wage labor.
No ownership of livestockor fishing ground.
VGF:
Post-disaster or
festival occasion
Food support
Rural poor Any four of the following 12 criteria have to
be met:
Landless except for homestead;
Main occupation: wage labor;
Female-headed household;
Dependent on begging, donot enjoy two
meals a day for significant part of the year;
No adult earner;
Children sent to work instead of school due
to poverty;
No income-generating asset;
Divorced or abandoned woman;
Household head is poor freedom fighter;
Household head disabled;
No access to micro-credit; and
Food-insecure due to disaster.
4.3 Targeting in Operation: Findings fromthe Qualitative
Review
The selected programs reported various challenges for targeting in operation and the findings from the
qualitative review of implemneting targeing approches are summarized in the Table 10 below.
Table 10: Overview of Programs and Research Design
Program
and Detailed
Focus
Implementers Coverage Beneficiary Identification and Services
GSK:
Defined
healthcare
services
through an
informal health
insurance
scheme with
variable annual
fee as
determined by
poverty status
Area Hospital
Manager + Field
Worker
50,000-100,000
rural population,
or about 20,000
households in
the catchment
area of a sub-
center.
Total of 42 area
offices across
Bangladesh
All households in the catchment area are
surveyed using a brief socio-economic
data form undertaken by Field Workers
assigned to the sub-center.
Information is collected on three main
indicators – reported income, housing,
and occupation.
Based on classification, households are
issued color-coded health cards with the
following premium chart:
Group A : extreme poor/poor: no
premium
Group B: lower middle class: Tk 300
per year
Group C: upper middle class: Tk. 350
per year
32. 16
Program
and Detailed
Focus
Implementers Coverage Beneficiary Identification and Services
Group D: less rich: Tk. 400 per year
Insurance covers medical consultation for
all groups.
For extreme poor, additional facility of
10% discount on medicine.
Ready-Made Garments industry female
workers are provided with 50% discount
on cesarean cost.
Sajeda
Foundation
General
healthcare but
with a major
focus on
maternal and
child health
Area office Urban poor
localities
There is no prior survey of the catchment
area population.
Individuals who walk into the area
office/hospital are asked to complete a
brief card containing demographic data.
This card is a discount card and the
person must pay an annual fee of Tk. 150.
The discount card offers certain
entitlements against a fee chart, which is
described in a brochure and also publicly
displayed.
Poor beneficiaries are not separately
identified, but if a patient seeks an
additional discount, this is a discretionary
decision of the doctor based on visual
assessment of the poverty status of the
patient.
DSF:
Antenatal,
delivery, and
postnatal care
for poor
pregnant
women
through the
provision of
entitlement
vouchers
Union Parishad +
Resident Medical
Officer (upazila
health complex)
Selected high-
poverty upazilas
Total numberof
beneficiaries, as
well as their
distribution into
upazila-specific
quotas, is fixed
centrally at the
ministry level
Union Family Welfare Assistants linked to
Union Health Sub-Center identify poor
neighborhoods through visual observation
and enquire about the presence of
pregnant women.
Information about identified pregnant
women is collected using a prescribed
form.
Union DSF Committee review the
collected forms annually, and prepare an
initial list of beneficiaries using eligibility
criteria prescribed for the program.
The list is finalized by the upazila DSF
committee against the number of
beneficiaries centrally allocated for the
upazila.
UPHCSDP:
Maternal and
child health
care in low-
income urban
neighborhoods
of selected
municipalities
and city
corporations
Project Director
(Local
GovernmentDivi
sion) +
Municipality/City
Corporation +
selected NGOs
Urban poor of
low-income
neighborhood of
selected
pourashava/
city corporation
for which an
NGO service
deliverer has
been selected.
NGO field workers identify poor
neighborhoods, i.e. low-income
settlements, through visual observation
and further identify poor households in
low-income settlements through visual
observation.
The identified households are asked to
provide information using a prescribed
form.
On the basis of the information collected,
identified households are assigned scores
and classified.
33. 17
Program
and Detailed
Focus
Implementers Coverage Beneficiary Identification and Services
Classified households that conform to the
two poorest categories are issued
separated color-coded cards against which
benefits are availed.
EGPP:
Off-season
employment
for rural
extreme poor
Department of
Disaster
Management +
Upazila
administration +
Union Parishad
National
coverage
number is
centrally fixed.
National
coverage with
proportionately
higher coverage
of high-poverty
upazilas.
Upazila-specific
allocations is
fixed at ministry
level
Ward Committee identifies a list of
eligible beneficiaries on an annual basis
based on both verbal requests by potential
beneficiaries and the Ward Committee’s
assessment of the applicant against
prescribed eligibility criteria.
The number of beneficiaries is determined
based on a quota limit, which is set
centrally based on the Ministry’s available
budget.
Once a list has been prepared, the Ward
Committee collects socio-economic data
relevant to the eligibility criteria for each
of the listed individuals.
The data and list is sent first to the Union
and then to the upazila for final approval.
The beneficiary list is then finalized.
VGF:
Post-disaster
and event-
specific food
support to
food-insecure
rural
households
Department of
Disaster
Management +
Upazila
administration +
Union Parishad
National
coverage with
proportionately
higher coverage
of high-poverty
upazilas.
Upazila-specific
allocation –
number centrally
fixed at ministry
level.
At least 33% of
beneficiaries
have to be
female.
Ward Committee identifies a list of
eligible beneficiaries based on both verbal
requests of potential beneficiaries and the
Ward Committee’s assessment of the
applicant against the prescribed eligibility
criteria. Such listing occurs before every
disbursement which may occur several
times a year depending on disaster
occurrence and government policy on
providing festival-time food support.
The number of beneficiaries is determined
based on the quota limit set centrally
based on available budget and poverty
maps prepared by the Bangladesh Bureau
of Statistics.
Once a list has been prepared, the Ward
Committee collects some socio-economic
data relevant to the eligibility criteria for
each of the listed individuals.
This data and list is sent first to Union and
then to upazila for final approval against
the beneficiary list is finalized.
34. 18
4.4 Targeting: Program-specific Field Realities
The details of findings by each question and sub-question explored are given below (in Table 11a to Table 11f)
for each of the selected programs reviewed.
4.4.1 GSK
Table 11a: Detail Findings from GSK
Question Sub-questions Insights from FGDs and Interviews
How well is the
targeting strategy
working in
practice?
Are there specific guidelines
for targeting beneficiaries?
Yes
Are the guidelines correct,
adequate, and useful?
Yes
Any examples of inclusion or
exclusion errors?
Program has approx. 15% inclusion
error due to pressure from the three
upper groups listed by the program.
Is there a monitoring system to
ensure targeting?
There is a flexible monitoring system
that avoids narrowly prescribed formats.
A monthly monitoring report is sent to
the central research cell.
Is there a grievance redressal
system? Does it work?
No formal system. Some verbal
complaints.
Are there specific barriers to
implementing targeting?
Upper groups are unwilling to
participate in the survey.
Households categorized as ‘lower
middle class’ always put pressure to be
listed as ‘poor’.
How adequate are the data
sources?
Adequate
Any capacity weakness in
implementing targeting?
Shortage of field level health workers.
Multiple workload of field workers and
low salary for doctors often leads to
high turn-over of personnel.
Recommendations
on improvement
Does the targeting strategy
require improvement?
More health workers.
Better salary.
If one change to targeting
strategy was to be made, what
would it be?
No additional suggestions.
4.4.2 Sajeda Foundation
Table 11b: Detail Findings from Sajeda Foundation
Question Sub-questions Insights from FGDs and Interviews
How well is the
targeting strategy
working in
practice?
Are there specific guidelines for
targeting beneficiaries?
No specific guidelines
Are the guidelines correct, adequate,
and useful?
Not applicable
Any examples of inclusion or
exclusion errors?
Since the hospital has no specific
targeting strategy beyond a general
strategy of targeting poorer localities,
the issue of inclusion or exclusion
errors does not apply.
35. 19
Is there a monitoring system to
ensure targeting?
There is a strong monitoring system for
overall service delivery but not for
targeting as such.
Is there a grievance redressal system?
Does it work?
There is a complaint box in the service
centers, but there have been no written
complaints. Complaints were mostly
verbal.
More serious follow-up compared to
other programs. Many complaints are
actually suggestions.
Are there specific barriers to
implementing targeting?
Poor road infrastructure hampers
proper delivery of services, including
movement of ambulances.
How adequate are the data sources? Data is not a particularfocus since
targeting is not a priority.
Any capacity weakness in
implementing targeting?
Lack of specialists is a general weakness
but not relevant to the issue of
targeting.
Recommendations
on improvement
Does the targeting strategy require
improvement?
No.
If one change to targeting strategy
was to be made, what would it be?
Stronger information campaign to make
local people aware of the service
4.4.3 DSF
Table 11c: Detail Findings from DSF project
Question Sub-questions Insights from FGDs and Interviews
How well is the
targeting strategy
working in
practice?
Are there specific guidelines for
targeting beneficiaries?
Yes. The beneficiary quota is
distributed among Unions
proportionate to population size.
Are the guidelines correct, adequate,
and useful?
Generally acceptable, but the eligibility
criteria of a monthly income of Tk.
3100 is set too low.
Any examples of inclusion or
exclusion errors?
Move from universal coverage to a
quota has led to exclusion errors
(under-coverage).
Some inclusion errors were noted.
Selected beneficiaries are finalized by
the Union Parishad chairman with the
help of a health assistant and family
planning assistant.
Is there a monitoring system to
ensure targeting?
Four-stage monitoring system: i) Union
Parishad health workers verify
beneficiary information; ii) ward
member also verifies beneficiary
information; iii) Union Parishad
chairman approves the list; and iv)
upazila DSF committee representative
distributes voucher bookamong
beneficiaries.
Is there a grievance redressal
system? Does it work?
No specific grievance redressal system
but there is a complaint box in the
upazila health complex.
No written complaints received, but
several verbal complaints. Upazila DSF
committee has raised the issue with
36. 20
Question Sub-questions Insights from FGDs and Interviews
Director, DSF cell at ministry-level but
no attention yet.
Are there specific barriers to
implementing targeting?
Every year the quota is declining, which
means exclusion errors are rising.
There is pressure for inclusion from
economically sound families.
Delays in allocation from the ministry.
How adequate are the data sources? Data weaknesses are serious.
Any capacity weakness in
implementing targeting?
No additional manpower has been
provided for this program.
Nepotism by local government officials.
Recommendations
on improvement
Does the targeting strategy require
improvement?
No.
If one change to targeting strategy
was to be made, what would it be?
Women who have miscarried in their
first and second pregnancies are
excluded under the current rule. This
may be changed.
4.4.4 UPHCSDP
Table 11d: Detail Findings from UPHCSDP project
Question Sub-questions Insights from FGDs and Interviews
How well is the
targeting strategy
working in
practice?
Are there specific guidelines for
targeting beneficiaries?
Yes
Are the guidelines correct, adequate,
and useful?
Yes.
Any examples of inclusion or
exclusion errors?
No examples
Is there a monitoring system to
ensure targeting?
Yes: i) field worker collects and verifies
beneficiary information; and ii)
supervisor verifies the information to
assign an economic classification to the
household.
Is there a grievance redressal
system? Does it work?
No formal system. Complaints box for
written complaints but no complaints
received. Usually verbal complaints.
Follow-up is at the discretion of the
supervisor.
Are there specific barriers to
implementing targeting?
There is neither a dedicated space nor
the budget for satellite clinics.
Lack of privacy hampers proper service
provision for pregnant women.
How adequate are the data sources? Data is adequate for the purpose.
Any capacity weakness in
implementing targeting?
Lack of information campaign about the
service for the community.
No full-time gynecology specialist
service available.
37. 21
Recommendations
on improvement
Does the targeting strategy require
improvement?
No.
If one change to targeting strategy
was to be made, what would it be?
Provide fund for dedicated space for
satellite clinics.
4.4.5 EGPP
Table 11e: Detail Findings from EGPP
Question Sub-questions Insights from FGDs and Interviews
How well is the
targeting strategy
working in
practice?
Are there specific guidelines for
targeting beneficiaries?
Yes.
Are the guidelines correct,
adequate, and useful?
Yes.
Any examples of inclusion or
exclusion errors?
Implementers and community
representatives estimate inclusion and
exclusion errors at around 10% due to
nepotism of local government.
Is there a monitoring system to
ensure targeting?
Formal monitoring system is in place
but implementation is not strong.
Is there a grievance redressal
system? Does it work?
Formal grievance redressal system but
few written complaints.
Many verbal complaints are sometimes
frivolous in nature and are of poor
merit.
Are there specific barriers to
implementing targeting?
Eligibility criteria of 60 year age limit
excludes many potential beneficiaries.
Nepotism of local government officials.
How adequate are the data sources? No scope for verifying self-reported
information except through community
meeting.
Any capacity weakness in
implementing targeting?
Newly elected local government
members take time to acquaint
themselves with the task
Recommendations
on improvement
Does the targeting strategy require
improvement?
Raise age limit to 65 years.
Make landownership criteria of 10
decimals flexible since it is not a robust
correlate of poverty in many localities.
If one change to targeting strategy
was to be made, what would it be?
Make landownership eligibility criteria
flexible.
38. 22
4.4.6 VGF
Table 11f: Detail Findings from VGF project
Question Sub-questions Insights from FGDs and Interviews
How well is the
targeting strategy
working in
practice?
Are there specific guidelines for
targeting beneficiaries?
Yes.
Are the guidelines correct,
adequate, and useful?
Yes.
Any examples of inclusion or
exclusion errors?
Both inclusion and exclusion errors are
up to 10% due to nepotism of local
government.
Is there a monitoring system to
ensure targeting?
Formal monitoring system is in place.
Is there a grievance redressal
system? Does it work?
Formal grievance redressal system but
there have been few written complaints.
Many verbal complaints are frivolous in
nature and are of poor merit.
Are there specific barriers to
implementing targeting?
Some beneficiaries without tokens must
be accommodated due to political
pressure or pressure from assembled
beneficiaries.
Full weight of food entitled is
sometimes not followed due to
corruption.
How adequate are the data sources? Adequate
Any capacity weakness in
implementing targeting?
No.
Recommendations
on improvement
Does the targeting strategy require
improvement?
No.
If one change to targeting strategy
was to be made, what would it be?
Food ration should be distributed in
pre-packed bags to prevent leakage.
4.5 Inclusion Errors
PPRC carried out a major evaluation of SSNPs in Bangladesh in 2011 (PPRC and UNDP, 2011). An
important focus of that study was the degree of inclusion errors in the ten surveyed programs. Key
findings from the 2011 study relating to inclusion errors are summarized in Table 12.
41. 25
5. LESSONS LEARNED
5.1 Lessons from the Qualitative Review
Targeting advantages must be balanced with the costs – overly elaborate eligibility criteria and
large investment in beneficiary household data-collection (e.g., means testing or PMT) can impact
on the program scope and duration.
An information campaign among the target population is a crucial complimentary investment to
ensure better inclusion rates and program coverage.
Targeting methods, such as means testing or PMT, may be suitable for contexts characterized by
chronic poverty but are unsuitable for contexts with transient poverty, i.e., where households
may be poor part of the year or when households newly fall into poverty. Such circumstances
are particularly significant in urban areas.
Where spatial concentration of poverty is a strong feature (e.g., in urban or peri-urban areas),
the location of the program facility is a critical success factor.
Choice of proxy variables for targeting remains a research challenge – for example, while
housing was a strong poverty correlate up to the 1990s, it is much less so now.
Many programs provide ID cards to beneficiaries, which serve as entitlement or discount cards
for defined services. Such cards provide promising entry point for popularizing health insurance,
as well as for targeting, provided supply-side issues do not become bottlenecks.
Health services targeting the urban poor, particularly mother and child healthcare services, are
often delivered through informal ‘satellite clinics’. However, satellite clinics which do not have a
dedicated space or offer privacy have proven to be largely ineffective and therefore undermine
targeting.
Both national and global experience is mixed on the success of targeting approaches.
Targeting mechanisms need not be mutually exclusive. While firm evidence is lacking, several
targeting methods applied simultaneously appear to prove more effective than reliance on a
single mechanism, at least in reducing errors of inclusion.
5.2 Success Factors in Targeting
Both the qualitative review and the literature review highlighted five critical success factors for
targeting:
Clarity in defining the target population;
Well-chosen, effective, and efficient eligibility criteria matching the program content;
Independent eligibility verificationsystem;
Monitoring and accountability framework in place; and
Credible engagement of community actors.
42.
43. 27
6. OVERVIEW OF THE NATIONAL HOUSEHOLD DATABASE
PROJECT (FORMERLY POVERTY REGISTER INITIATIVE)
6.1 Background
GOB through 23 of its ministries implements a large number of public SSNPs. There are issues
around targeting the right people, nepotism among local government officials, overlappingcoverage,
corruption, leakages, and lack of coordination that need to be addressed. Therefore, GOB with
financial and technical support from the World Bank has undertakena project to prepare a
countrywide database, the NHD (initially named the Poverty Register).
A key objective of the NHD is to contribute to better targeting. It is expected that the NHD will be
used by all the SSNPs implemented by the various GOB agencies. The database was developed using
a PMT formula. This involves using observable and verifiable household or individual characteristics
in a formal algorithm to proxy household welfare. Though PMT has been argued to improve
targeting efficiency (Grosh and Baker, 1995; Sharif, I., 2012), numerous implementation challenges
remain which include but are not limited to an inefficient data collection process, ineffective
management of information, and challenges with a feasible and cost-efficient monitoring, verification,
and updating system to minimize under-coverage (exclusionerrors) and leakage (inclusion errors).
6.2 Objectives and Key Features
Preparing an NHD using PMT is a significant step forward towards improving targeting in SSNPs and
other resource transfers for the poor. The objectives and key features of the NHD are summarized
below:
The overall objective of NHD is to assist with effective implementation of the NSSS (2015) goal
of “reducing poverty by better targeting beneficiaries and improving the management of about
145 government social safety net schemes.”
The specific objective is to prepare an NHD to establish a register of poor households.
The project is being implemented by the BBS and is one of the components of the GOB’s Safety
Net Systems for the Poorest Project supported by the World Bank. This project also supports
the five SSNPs – EGPP, Cash-for-Work, Test Relief, VGF, and Gratuitous Relief – implemented
by the DDM.
Surveyed households are assigned a poverty score card (PSC) using a PMT formula. The score is
used to identify the poor by comparing their PSC against a cut-off mark.
A total of 34 million households are being surveyed in three phases, with two phases completed
at the time of writing.
NHD will generate two databases: i) a PSC census; and ii) an upazila level list of poor and non-
poor households based on their PSC.
The project is currently two years behind schedule due to implementation challenges.
44. 28
6.3 Can the National Household Database Contribute to
Targeting?
NHD can contribute to targetingif the following conditions are met:
The NHD is updated at regular intervals (e.g., every three years) to adjust for mobility within
and across the poverty line;
Each of the public SSNPs is linked to the NHD, possibly using the national ID number;
NHD is linked with the management information system of beneficiaries being developed at the
DDM; and
Beneficiary consent to making their personal information public is built into the survey forms.
This will avoid any ethical concerns in the use of the data for program implementation.
Beneficiary consent in making their personal information public is both a legal and an ethical issue.
According to Section 12 (2) of the Statistics Act 2013, the BBS is obliged not to publish any data
collected for a survey or census. Subsection 3 of Section 12 does provide scope for publication of
data with the consent of the person involved. However, during data collection of the completed two
phases, no form was administered to collect such consent.
45. 29
7. RECOMMENDATIONS
The qualitative review of targeting approaches demonstrates that programs have developed targeting
approaches based on program design and available resources (Table 13). Bangladesh now needs a
national standard for targeting to reduce duplication and program-specific costs, as well as to
improve benefits to target populations. While the move towards a national standard will take time,
the following recommendations (Table 14) merit attention from GOB and other stakeholders for
designing and implementing a targetingstrategy for any SSNP, with clear relevance for programs
designed to support UHC.
Table 13: Summary of Findings and Suggested Recommendations
Question Sub-questions Insights from FGDs and Interviews
How well is the
targeting strategy
working in
practice?
Are there specific guidelines for
targeting beneficiaries?
Yes.
Are the guidelines correct,
adequate, and useful?
Yes.
Any examples of inclusion or
exclusion errors?
Both inclusion and exclusion errors are
up to 10% due to nepotism of local
government.
Is there a monitoring system to
ensure targeting?
Formal monitoring system is in place.
Is there a grievance redressal
system? Does it work?
Formal grievance redressal system but
there have been few written complaints.
Many verbal complaints are frivolous in
nature and are of poor merit.
Are there specific barriers to
implementing targeting?
Some beneficiaries without tokens must
be accommodated due to political
pressure or pressure from assembled
beneficiaries.
Full weight of food entitled is
sometimes not followed due to
corruption.
How adequate are the data sources? Adequate
Any capacity weakness in
implementing targeting?
No.
Recommendations
on improvement
Does the targeting strategy require
improvement?
No.
If one change to targeting strategy
was to be made, what would it be?
Food ration should be distributed in
pre-packed bags to prevent leakage.
46. 30
Table 14: Matrix on Recommendations
Review finding Recommendation
An effective targeting approach is
built not only on sound conceptual
principles but also sound operational
considerations.
Undertake an information campaign to ensure buy-in from the
target community and thus increase inclusion.
Ensure proximity to the facility providing services; this is a key
consideration for the poor, particularly in urban contexts where
distance entails both costs and unfamiliarity.
Use a fee-based entitlement card to clarify beneficiary expectations
on services and costs, and empower beneficiaries by giving a
measure of ‘identity’ to his/her transactions with the service
provider. None of the available entitlement cards have yet passed
the test of universal acceptance, and therefore new programs will
require a piloting and field-based testing.
All targeting approaches have their
strengths and weaknesses. An
optimal approach will build on
insights from program review.
Combine geographic targeting with participatory approaches to
leverage the common phenomenon of spatial concentration of
poverty and ensure an element of social accountability, while also
avoiding heavy upfront cost burdens of a detailed survey. This
approach requires a robust verification system to avoid inclusion
and exclusion errors based on corruption and discrimination.
There are two serious drawbacks in
the utilization of NHD for new
program-level targeting. Firstly, it is
yet to be completed and tested.
Secondly, current legal provisions
prevent the use of the data as
provision for explicit beneficiary
consent was not built into the survey
forms. Pending the resolution of
these drawbacks, the NHD is not
likely to be relevant for program-
level targeting for the next three
years.
To ensure that the completed NHD becomes relevant for
targeting in the future, the following are recommended:
Update the NHD at regular intervals (e.g., every three years) to
adjust for mobility within and across the poverty line;
Link the NHD to each of the SSNPs, possibly using the national ID
number;
Link the NHD with the management information system of
beneficiaries being developed at the Department of Disaster
Management; and
Ensure beneficiary consent to making their personal information
public is built into the survey forms. This will avoid any ethical
concerns in the use of the data for program implementation.
A targeting strategy should involve
not only the use of specific
approaches, but also monitoring of
targeting outcomes with learning for
adaptation.
Deploy a “Three-Stage Cycle” that incorporates pre-targeting,
targeting, and post-targeting monitoring with learning – see
Figure 2 (Conceptualization: Hossain Zillur Rahman, 2018). This
strategy should include a community-based approach with an
objective to reduce both exclusion and inclusion errors, and brings
the added benefit of better understanding of the challenges
involved in ensuring targeting success.
47. 31
Figure 2: Proposed Three-Stage Targeting Cycle
•CommunityProfileDatacollection
and collation:poverty strata,social
map,wealth ranking,health-
seekingmap (datamaybeavailable
either frompublic information,e.g.,
official poverty maps,or generated
by the programthroughsurvey or
participatoryappraisal).
•Information campaignandrapport
buildingto ensurecommunity
awarenessof theprogramand its
features.
Pre-targeting
•Eligibilitycriteriadefinition.
•Beneficiaryidentification
either through homevisits
(programto beneficiary) or
officevisits(beneficiary to
program).
•Entitlementcard (or
equivalent)to make
beneficiaryidentification
'official'
Targeting
•Monitoring and
learning(either for
assessing
compliance,for
assessing
outcomes,or for
both)
Post-targeting
48.
49. 33
8. CONCLUSION
Targeting is one of the most widely used strategies in development aimed at ensuring that the
benefits of interventions flow to those most in need. With renewed emphasis on equity in the SDGs,
a strategic re-examination of targeting as a strategy is particularly apt for newer areas of application,
such as UHC. To be meaningful, such a re-examination entails not only a distilling of the analytical
debates on targeting, but also using learnings from a range of program experiences where targeting
is used. The preceding review combines analytical and experiential learnings to suggest a three-stage
cycle incorporating pre-targeting, targeting, and post-targeting monitoring with learning for
adaptation. Specifically for new UHC programming, the review suggests a community-based
approach in combination with geographic targeting while ensuring targeting efficiency to minimize
both errors of inclusion and exclusion.
50.
51. 35
ANNEX A: LIST OF PARTICIPANTS
Power and Participation Research Center
Targeting Project
Organization Name of FGD Participants Name of Interview Participants
Gonoshasthyo
Kendro (GK)
Dr. Mokter Hossain, Duty Doctor, Barobaria GK
Sub Center, Dhamrai.
Md. Jewlur Rahman, Supervisior, Barobaria GK Sub
Center, Dhamrai.
Tania Akter, Paramedic, Barobaria GK Sub Center,
Dhamrai.
Rafiqul Islam, Field Worker, Barobaria GK Sub
Center, Dhamrai.
Amena Begum, Paramedic, Barobaria GK Sub
Center, Dhamrai.
Md. Taimur Ali, Senior Health Assistant, GSK
Dr. Mizanu Rahman, Director
GSK
Dr. Kamal Uddin,
Physiotherapist GSK
UPHCSDP Farjana Akter, Female Welfare Volunteer,
UPHCSDP, Kishoregonj
Hafiza Akter, Service Provider, UPHCSDP,
Kishoregonj
Momotaj Parveen, Service Provider, UPHCSDP,
Kishoregonj
Md. Abdul Hakim Majumder,
Project Director, UPHCP
Md. Moniruz Jaman Morol
Project Manager, Kishoregonj
Md Rahamat Ali Mondal, Field
Supervisor, Kishoregonj
DSF Syed Moshrraf Hossain, Health Inspector,
Kishoregonj
Md. Delower Hossain, Health Inspector,
Kishoregonj
Shahanaj Parveen, Assistant Health Inspector,
Kishoregonj
Md. Sayem Uddin Assistant Health Inspector,
Kishoregonj
Monjurul Mukit, Assistant Health Inspector,
Kishoregonj
Afroza Begum, Assistant Health Inspector,
Kishoregonj
Dr. Badrul Hasan, Regional
Medical Officer, Kishoregonj,
Upazila Health Complex
Dr. Md. MustafizurRahaman ,
Medical Officer, Kishoregonj,
Upazila Health Complex
Sajeda
Foundation
Dr. Qaisur Rabbi, Coordinator, Sajeda Hospital,
Keranigonj
Md. Harun-or-Rashid, Hospital Manager, Sajeda
Hospital, Keranigonj
Nadira Yesmin, Administrative Officer, Sajeda
Hospital, Keranigonj
Md. Ziaur Rahman, Accounts Officer, Sajeda
Hospital, Keranigonj
Dr. Md. Mesbhauddin , Duty Doctor, Sajeda
Hospital, Keranigonj
Ranjita Boral, Nurse, Sajeda Hospital, Keranigonj
Jesmin Akter, Nurse, Sajeda Hospital, Keranigonj
Dr. ShamsherAli Khan, Senior
Director, Sajeda Foundation
DORP AHM Nouman , Chief Executive
Officer and Executive Director,
DORP
52. 36
EGPP Md Younus Mia, Project Implementation officer
(PIO), Devidwer Upazila
Md. Habibur Rahman, Assistant Rural Development
Officer (Tag Officer), Devidwer
Md. Ashraful Islam, Sub Assistant Engineer (SAE),
EGPP, Devidwer
Rabindra Chakma, Upazila
Nirbahi Officer (UNO),
Devidwar
Mr. Satyendra Kumar Sarkar,
Project Director, Strengthening
of the Ministry of Disaster
Management & Relief (MoDMR)
Program Administration Project,
Department of Disaster
Management
Muhammad Aminul Islam,
Program Specialist, Department
of Disaster Management
VGF Md. Moynal Hossain Chairman, Dhamti UP,
Devidwar
Md Md, Al-Amin Chowdhury, Union Parishad
member
Md. Jamal Hossain, Union Parishad member,
Md. Mostafizur Rahman, Secretary
Mr. Satyendra Kumar Sarkar,
Project Director, Strengthening
of the MoDMR Program
Administration Project,
Department of Disaster
Management
Muhammad Aminul Islam,
Program Specialists,
Department of Disaster
management
53. 37
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