Evaluation of trained Accredited Social Health Activist (ASHA) workers and Supervisors associated with ‘Aarogya Project’ regarding their knowledge attitude and practices about Health Management Information Sys
This document summarizes an evaluation of health workers and supervisors involved in Aarohi's community health project in India. An assessment found that 18% of community health workers (ASHAs) and 23% of supervisors demonstrated strong knowledge of the health management information system. Work experience was found to impact performance. While data collection accuracy was high, some gaps remained in understanding the importance of data and how it can inform decision-making. The evaluation recommends further training to strengthen the health information system, particularly at the community level.
Conclave indrajit - evidence for policy & impact - 22 apr 2016 v2.1Indrajit Chaudhuri
1) CARE India worked in Bihar through its Bihar Technical Support Program (BTSP) to reduce maternal and child health indicators like MMR, NMR, and malnutrition. It tested and implemented innovative solutions in select districts from 2010-2013.
2) Four key solutions showed successful results - sub-center meetings, quality improvement and nurse mentoring in facilities, team-based goals and incentives for frontline workers, and a comprehensive mHealth solution.
3) These solutions were adopted and scaled up by the Bihar government based on the evidence from their measurement and learning efforts. For example, sub-center meetings were scaled up statewide and the mobile nurse mentoring approach was replicated in many other states. This
The document discusses the design of a survey to evaluate innovation in healthcare centers. It aims to assess factors associated with process innovation, in order to propose innovative programs. The survey design considers three categories: human resources technological capacity, technological procedures, and infrastructure/equipment. It was validated qualitatively through background analysis and expert judgment. The survey seeks to improve health outcomes, though full participation may be difficult and distort results. Further research is needed on the instrument's quantitative validity, descriptive construct validity, explanatory reliability, and applicative efficiency.
Data Driven Management - Visioning Slides CARE CML IndrajitIndrajit Chaudhuri
This slide-deck explains the concept of Data Driven Management (DDM) and it's application by CARE India in Bihar as a part of Integrated Family Health Initiative (IFHI) project funded by Bill & Melinda Gates Foundation. Later, in 2013, a much bigger, innovative and ambitious measurement effort called Concurrent Measurement and Learning (CML) was established as a part of Bihar Technical Support Program. The basic work on DDM during IFHI project created the basis for CML.
Anbrasi Edward, PhD, MPH, MBA, MSc, Associate Scientist, Johns Hopkins University Bloomberg School of Public Health and Jennifer Winestock Luna, MPH, Director of M&E Services for Realizing Global Health describe Program Evaluation Models and use a case study of a program in Yemen to lead participants through an example of monitoring and evaluation practices.
The Diabetes Discovery Project at Austin Health aimed to use their Cerner EMR system to routinely test HbA1c levels on inpatients over 54 to identify undiagnosed and poorly controlled diabetes. Testing of over 5,000 patients found 5% had undiagnosed diabetes and 29% had known diabetes. Higher HbA1c levels were associated with increased hospital admissions and longer lengths of stay for surgical patients. The project demonstrated using health IT to identify diabetes management opportunities. Ongoing work includes refining protocols and expanding to other patient populations.
The document proposes a mobile health application for Medical Attendant Community Health Workers (MA-CHWs) in Tanzania. It summarizes that [1] current rural health systems rely heavily on MA-CHWs but lack standardized monitoring, [2] the proposed application would provide a standardized checklist for MA-CHW home visits to improve quality of care. It then outlines how the application [3] impacts CHWs, supervisors, patients, and decision-making through collection and use of standardized data.
Monitoring, supervision, and evaluation are important parts of nutrition programs to ensure quality and effectiveness. Data is collected through the Nutrition Information System (NIS) and flows from communities to districts and provinces to assess key indicators like cure, death, and default rates against SPHERE standards. SQUEAC surveys help evaluate coverage and identify issues like low participation, high default rates, or mortality to improve programs. Regular reporting and review of data allows supervisors to monitor performance and make improvements through tools like checklists, reports, and output trackers.
Beyond Reporting: Monitoring and Evaluation as a Health Systems Strengthening...MEASURE Evaluation
This document discusses monitoring and evaluation (M&E) as a health systems strengthening intervention. It presents the World Health Organization's health systems framework, which depicts six building blocks of a health system: service delivery, health workforce, information, medical products and technologies, financing, and leadership and governance. The document argues that strengthening M&E systems can improve all six building blocks by increasing accountability, management, and use of data to strengthen programs. It acknowledges challenges like transitioning to more robust M&E systems and maintaining momentum for improvement.
Conclave indrajit - evidence for policy & impact - 22 apr 2016 v2.1Indrajit Chaudhuri
1) CARE India worked in Bihar through its Bihar Technical Support Program (BTSP) to reduce maternal and child health indicators like MMR, NMR, and malnutrition. It tested and implemented innovative solutions in select districts from 2010-2013.
2) Four key solutions showed successful results - sub-center meetings, quality improvement and nurse mentoring in facilities, team-based goals and incentives for frontline workers, and a comprehensive mHealth solution.
3) These solutions were adopted and scaled up by the Bihar government based on the evidence from their measurement and learning efforts. For example, sub-center meetings were scaled up statewide and the mobile nurse mentoring approach was replicated in many other states. This
The document discusses the design of a survey to evaluate innovation in healthcare centers. It aims to assess factors associated with process innovation, in order to propose innovative programs. The survey design considers three categories: human resources technological capacity, technological procedures, and infrastructure/equipment. It was validated qualitatively through background analysis and expert judgment. The survey seeks to improve health outcomes, though full participation may be difficult and distort results. Further research is needed on the instrument's quantitative validity, descriptive construct validity, explanatory reliability, and applicative efficiency.
Data Driven Management - Visioning Slides CARE CML IndrajitIndrajit Chaudhuri
This slide-deck explains the concept of Data Driven Management (DDM) and it's application by CARE India in Bihar as a part of Integrated Family Health Initiative (IFHI) project funded by Bill & Melinda Gates Foundation. Later, in 2013, a much bigger, innovative and ambitious measurement effort called Concurrent Measurement and Learning (CML) was established as a part of Bihar Technical Support Program. The basic work on DDM during IFHI project created the basis for CML.
Anbrasi Edward, PhD, MPH, MBA, MSc, Associate Scientist, Johns Hopkins University Bloomberg School of Public Health and Jennifer Winestock Luna, MPH, Director of M&E Services for Realizing Global Health describe Program Evaluation Models and use a case study of a program in Yemen to lead participants through an example of monitoring and evaluation practices.
The Diabetes Discovery Project at Austin Health aimed to use their Cerner EMR system to routinely test HbA1c levels on inpatients over 54 to identify undiagnosed and poorly controlled diabetes. Testing of over 5,000 patients found 5% had undiagnosed diabetes and 29% had known diabetes. Higher HbA1c levels were associated with increased hospital admissions and longer lengths of stay for surgical patients. The project demonstrated using health IT to identify diabetes management opportunities. Ongoing work includes refining protocols and expanding to other patient populations.
The document proposes a mobile health application for Medical Attendant Community Health Workers (MA-CHWs) in Tanzania. It summarizes that [1] current rural health systems rely heavily on MA-CHWs but lack standardized monitoring, [2] the proposed application would provide a standardized checklist for MA-CHW home visits to improve quality of care. It then outlines how the application [3] impacts CHWs, supervisors, patients, and decision-making through collection and use of standardized data.
Monitoring, supervision, and evaluation are important parts of nutrition programs to ensure quality and effectiveness. Data is collected through the Nutrition Information System (NIS) and flows from communities to districts and provinces to assess key indicators like cure, death, and default rates against SPHERE standards. SQUEAC surveys help evaluate coverage and identify issues like low participation, high default rates, or mortality to improve programs. Regular reporting and review of data allows supervisors to monitor performance and make improvements through tools like checklists, reports, and output trackers.
Beyond Reporting: Monitoring and Evaluation as a Health Systems Strengthening...MEASURE Evaluation
This document discusses monitoring and evaluation (M&E) as a health systems strengthening intervention. It presents the World Health Organization's health systems framework, which depicts six building blocks of a health system: service delivery, health workforce, information, medical products and technologies, financing, and leadership and governance. The document argues that strengthening M&E systems can improve all six building blocks by increasing accountability, management, and use of data to strengthen programs. It acknowledges challenges like transitioning to more robust M&E systems and maintaining momentum for improvement.
The document summarizes a project in China that aimed to strengthen health management information systems and HIV/AIDS reporting to improve monitoring and evaluation of HIV/AIDS services. Key activities included training stakeholders on data interpretation, monitoring, and using performance improvement tools. Monitoring found that after interventions, staff's knowledge and use of data increased, though challenges remained around developing feedback reports and training additional counties. The conclusion was that capacity improved but structural changes were still needed to support decision-making and the future plan was to scale up trainings, develop feedback tools, and strengthen communication.
SHRM’s 2014 Strategic Benefits Survey: Health Careshrm
SHRM’s 2014 Strategic Benefits Survey collected extensive information on the costs of health care and changes in total costs over time.
This research found that about four-fifths (79%) of respondents from organizations that provided health care coverage to their employees indicated their organization was “very concerned” about controlling health care costs. About one-half of organizations offered educational initiatives related to health and wellness (56%) and/or lower-cost generic prescription drugs (48%) to help control the costs of health care. In terms of employee contributions to the total costs of health care, one-half of respondents indicated their organization increased the employee share of the total costs of health care compared with the previous plan year.
Supervision, monitoring and evaluation of researchAshok Pandey
To train the health professionals on health system research proposal development,
To acquaint the participants with health research process, and
To train basic managerial skills required to manage proposed health research.
PCMH: Part 4 – Learn How to Start or Improve Your Quality Improvement ProgramJulie Champagne
We wrap up our PCMH series with a deep dive into Standard 5-Care Coordination and Care Transitions and Standard 6- Performance Measurement and Quality Improvement. How are you handling referrals and transitions of care today? Do you need to make changes to optimize the process? We’ll review care coordination elements and factors as well as the performance improvement standards, elements, and associated factors in this webinar to complete your practice’s PCMH transformation!
1) A hospital in remote rural Nepal implemented a morbidity and mortality conference (M&M) to improve healthcare quality by involving both clinical and non-clinical staff.
2) The weekly M&M meetings focused discussions on patient cases using a framework of seven domains to identify systems issues impacting care delivery.
3) Preliminary results found improved communication, a better understanding of operations, and more rigorous identification of areas for improvement across the hospital.
The document provides survey results from NHS LEWISHAM CCG's GP Patient Survey. It includes:
- An overview of patients' overall experience at their GP practice, with 80% reporting a good experience. Experience varied across practices from 55% to 97%.
- Results on ease of getting through to practices by phone, with 61% finding it easy. Experience varied across practices from 30% to 95%.
- Feedback on receptionist helpfulness, with 87% finding them helpful. Experience varied across practices from 66% to 99%.
Overview of the Partners In Health Liberia Community Health Worker (CHW) baseline training evaluation, justification, findings and recommendations for next-steps.
Data for Impact hosted a one-hour webinar sharing guidance for using routine data in evaluations. More: https://www.data4impactproject.org/resources/webinars/routine-data-use-in-evaluation-practical-guidance/
Health Technology Assessment- Overviewshashi sinha
This document discusses health technology assessment (HTA) in India. It provides an outline of HTA and its potential applications. HTA is defined as a multidisciplinary process that systematically evaluates the medical, social, economic and ethical issues related to a health technology. The document discusses the need for HTA in India given rising healthcare costs and limited resources. It outlines the HTA process, including defining the research question, criteria for study inclusion/exclusion, literature searches, and steps like systematic reviews and economic evaluations. Key applications of HTA mentioned are assessing new technologies for investment/disinvestment and informing priority setting and coverage decisions.
The Commonwealth Fund 2015 International Health Care Policy Survey of Primary...Odyssey Recruitment
This study looks at primary care services in industrialised countries comparing access to the various systems. Switzerland and Germany have the best results with swift access to Family Physicians.
Clinicians Satisfaction Before and After Transition from a Basic to a Compreh...Allison McCoy
Healthcare organizations are transitioning from basic to comprehensive electronic health records (EHRs) to meet Meaningful Use requirements and improve patient safety. Yet, full adoption of EHRs is lagging and may be linked to clinician dissatisfaction. In depth assessment of satisfaction before, during, and after EHR transition is rarely done. Using an adapted published tool to assess adoption and satisfaction with EHRs, we surveyed clinicians at a large, non-profit academic medical center before (baseline) and 6-12 months (short-term follow-up) and 12-24 months (long-term follow-up) after transition from a basic, locally-developed to a comprehensive, commercial EHR. Satisfaction with the EHR (overall and by component) was captured at each interval. Overall satisfaction was highest at baseline (85%), lowest at short-term follow-up (66%), and increasing at long-term follow-up (79%). This trend was similar for satisfaction with EHR components designed to improve patient safety including clinical decision support, patient communication, health information exchange, and system reliability. Conversely, at baseline, short-term and long-term follow-up, perceptions of productivity, ability to provide better care with the EHR, and satisfaction with available resources, were lower at both short- and long-term follow-up compared to baseline. Persistent dissatisfaction with productivity and resources was identified. Addressing determinants of dissatisfaction may increase full adoption of EHRs. Further investigation in larger populations is warranted.
Quality improvement and innovation in low resource settings_geetanjliGeetanjli Kalyan
This document discusses quality improvement and innovations in low resource settings. It begins by summarizing a 2001 IOM report that highlighted the gap between available health research/technology and actual healthcare quality. Quality improvement aims to measurably improve health services and patient outcomes through systematic, continuous actions. The six dimensions of high-quality care are outlined as safe, timely, effective, efficient, equitable and patient-centered. Barriers to quality improvement in low resource settings include limited human/financial resources, lack of dedicated research teams, organizational issues, and barriers faced by patients. Strategies to overcome these barriers include addressing known problems, building monitoring systems, stakeholder participation, and using known effective interventions on a small scale. Success requires a multifacet
1. The document outlines the continuous quality improvement (CQI) model and collaborative methodology for improving healthcare quality and adherence to evidence-based guidelines.
2. Examples from quality improvement collaboratives in various countries showed improvements in outcomes like reduced mortality and increased adherence to treatment protocols for conditions like malaria and HIV.
3. The collaborative methodology leverages learning across multiple healthcare teams working simultaneously to accelerate improvements compared to individual teams working in isolation.
Racing for results: lessons learnt in improving the efficiency of HIV VL and ...SystemOne
This document discusses strategies for improving the efficiency of delivering HIV viral load and early infant diagnosis test results from laboratories to clinics. Traditional paper-based reporting systems can result in delays and lost results. Newer electronic and mobile health platforms show promise in reducing turnaround times, but also face challenges from limited infrastructure in low-resource settings. Specifically, laboratory information systems, SMS messaging, and SMS printers are being used to deliver results digitally, with some programs reporting up to 50% reductions in turnaround times. However, merely delivering results is not enough - systems also need to ensure results are received and acted upon to improve patient outcomes.
Health outcomes research is seen as a cost-effective investment in measuring and defining value of new innovations in health care. We provide an overview of field and its applications
Collective intelligence in healthcare can help address system challenges.
The Health Consensus system gathers professionals' input using different methods to reach consensus on issues like assessing health plans, selecting quality indicators, and training.
Participants perceive the process as efficient and that their involvement provides value to useful and relevant contributions.
This document discusses Dignity Health's efforts to improve care coordination and reduce readmissions through risk stratification. The goals were to better understand readmission risk profiles, improve clinician and care coordination workflows, and continuously monitor metrics to reduce readmissions by 10% or more. SAS analytics were used to create a readmission risk model using 13 predictors related to historical metrics, comorbidities and demographics. The risk scores were used to target high-risk patients and delegate improved discharge planning and follow-up. Preliminary data shows reductions in readmission rates and times between readmissions through these targeted care pathways.
A presentation from a workshop held at The University of St Mark & St john in November, 2014. The session was an information exchange session on the new NICE guidelines PH54 (exercise referral schemes to promote physical activity)
The Relationship of Technical Planning Capability and Evaluation of Coordinat...irjes
This study examines the relationship between technical planning capabilities, program coordinator evaluation capabilities, and the successful achievement of health programs in Banjarbaru City, Indonesia in 2012. The study used a cross-sectional observational design involving 48 health center program coordinators. The results showed that most coordinators had good technical planning (97%) and evaluation (62.5%) capabilities. The majority (77%) of health programs achieved success, while 23% achieved moderate success and none achieved less success. Statistical analysis found no significant relationships between technical planning/evaluation capabilities and program success achievement. The study concludes that technical planning and evaluation capabilities of coordinators are not related to the successful achievement of health programs in Banjarbaru City.
Highlights from three different speakers on the actual use of dashboards for decisionmaking.
MEASURE Evaluation shares the results of a landscape analysis looking for specific examples of dashboards prompting action. BroadReach shares an example of how their Vantage platform is making HIV data accessible in South Africa. JSI shares an example of low-tech but high-impact dashboard development and coaching that has transformed districts in Zimbabwe.
The document summarizes a project in China that aimed to strengthen health management information systems and HIV/AIDS reporting to improve monitoring and evaluation of HIV/AIDS services. Key activities included training stakeholders on data interpretation, monitoring, and using performance improvement tools. Monitoring found that after interventions, staff's knowledge and use of data increased, though challenges remained around developing feedback reports and training additional counties. The conclusion was that capacity improved but structural changes were still needed to support decision-making and the future plan was to scale up trainings, develop feedback tools, and strengthen communication.
SHRM’s 2014 Strategic Benefits Survey: Health Careshrm
SHRM’s 2014 Strategic Benefits Survey collected extensive information on the costs of health care and changes in total costs over time.
This research found that about four-fifths (79%) of respondents from organizations that provided health care coverage to their employees indicated their organization was “very concerned” about controlling health care costs. About one-half of organizations offered educational initiatives related to health and wellness (56%) and/or lower-cost generic prescription drugs (48%) to help control the costs of health care. In terms of employee contributions to the total costs of health care, one-half of respondents indicated their organization increased the employee share of the total costs of health care compared with the previous plan year.
Supervision, monitoring and evaluation of researchAshok Pandey
To train the health professionals on health system research proposal development,
To acquaint the participants with health research process, and
To train basic managerial skills required to manage proposed health research.
PCMH: Part 4 – Learn How to Start or Improve Your Quality Improvement ProgramJulie Champagne
We wrap up our PCMH series with a deep dive into Standard 5-Care Coordination and Care Transitions and Standard 6- Performance Measurement and Quality Improvement. How are you handling referrals and transitions of care today? Do you need to make changes to optimize the process? We’ll review care coordination elements and factors as well as the performance improvement standards, elements, and associated factors in this webinar to complete your practice’s PCMH transformation!
1) A hospital in remote rural Nepal implemented a morbidity and mortality conference (M&M) to improve healthcare quality by involving both clinical and non-clinical staff.
2) The weekly M&M meetings focused discussions on patient cases using a framework of seven domains to identify systems issues impacting care delivery.
3) Preliminary results found improved communication, a better understanding of operations, and more rigorous identification of areas for improvement across the hospital.
The document provides survey results from NHS LEWISHAM CCG's GP Patient Survey. It includes:
- An overview of patients' overall experience at their GP practice, with 80% reporting a good experience. Experience varied across practices from 55% to 97%.
- Results on ease of getting through to practices by phone, with 61% finding it easy. Experience varied across practices from 30% to 95%.
- Feedback on receptionist helpfulness, with 87% finding them helpful. Experience varied across practices from 66% to 99%.
Overview of the Partners In Health Liberia Community Health Worker (CHW) baseline training evaluation, justification, findings and recommendations for next-steps.
Data for Impact hosted a one-hour webinar sharing guidance for using routine data in evaluations. More: https://www.data4impactproject.org/resources/webinars/routine-data-use-in-evaluation-practical-guidance/
Health Technology Assessment- Overviewshashi sinha
This document discusses health technology assessment (HTA) in India. It provides an outline of HTA and its potential applications. HTA is defined as a multidisciplinary process that systematically evaluates the medical, social, economic and ethical issues related to a health technology. The document discusses the need for HTA in India given rising healthcare costs and limited resources. It outlines the HTA process, including defining the research question, criteria for study inclusion/exclusion, literature searches, and steps like systematic reviews and economic evaluations. Key applications of HTA mentioned are assessing new technologies for investment/disinvestment and informing priority setting and coverage decisions.
The Commonwealth Fund 2015 International Health Care Policy Survey of Primary...Odyssey Recruitment
This study looks at primary care services in industrialised countries comparing access to the various systems. Switzerland and Germany have the best results with swift access to Family Physicians.
Clinicians Satisfaction Before and After Transition from a Basic to a Compreh...Allison McCoy
Healthcare organizations are transitioning from basic to comprehensive electronic health records (EHRs) to meet Meaningful Use requirements and improve patient safety. Yet, full adoption of EHRs is lagging and may be linked to clinician dissatisfaction. In depth assessment of satisfaction before, during, and after EHR transition is rarely done. Using an adapted published tool to assess adoption and satisfaction with EHRs, we surveyed clinicians at a large, non-profit academic medical center before (baseline) and 6-12 months (short-term follow-up) and 12-24 months (long-term follow-up) after transition from a basic, locally-developed to a comprehensive, commercial EHR. Satisfaction with the EHR (overall and by component) was captured at each interval. Overall satisfaction was highest at baseline (85%), lowest at short-term follow-up (66%), and increasing at long-term follow-up (79%). This trend was similar for satisfaction with EHR components designed to improve patient safety including clinical decision support, patient communication, health information exchange, and system reliability. Conversely, at baseline, short-term and long-term follow-up, perceptions of productivity, ability to provide better care with the EHR, and satisfaction with available resources, were lower at both short- and long-term follow-up compared to baseline. Persistent dissatisfaction with productivity and resources was identified. Addressing determinants of dissatisfaction may increase full adoption of EHRs. Further investigation in larger populations is warranted.
Quality improvement and innovation in low resource settings_geetanjliGeetanjli Kalyan
This document discusses quality improvement and innovations in low resource settings. It begins by summarizing a 2001 IOM report that highlighted the gap between available health research/technology and actual healthcare quality. Quality improvement aims to measurably improve health services and patient outcomes through systematic, continuous actions. The six dimensions of high-quality care are outlined as safe, timely, effective, efficient, equitable and patient-centered. Barriers to quality improvement in low resource settings include limited human/financial resources, lack of dedicated research teams, organizational issues, and barriers faced by patients. Strategies to overcome these barriers include addressing known problems, building monitoring systems, stakeholder participation, and using known effective interventions on a small scale. Success requires a multifacet
1. The document outlines the continuous quality improvement (CQI) model and collaborative methodology for improving healthcare quality and adherence to evidence-based guidelines.
2. Examples from quality improvement collaboratives in various countries showed improvements in outcomes like reduced mortality and increased adherence to treatment protocols for conditions like malaria and HIV.
3. The collaborative methodology leverages learning across multiple healthcare teams working simultaneously to accelerate improvements compared to individual teams working in isolation.
Racing for results: lessons learnt in improving the efficiency of HIV VL and ...SystemOne
This document discusses strategies for improving the efficiency of delivering HIV viral load and early infant diagnosis test results from laboratories to clinics. Traditional paper-based reporting systems can result in delays and lost results. Newer electronic and mobile health platforms show promise in reducing turnaround times, but also face challenges from limited infrastructure in low-resource settings. Specifically, laboratory information systems, SMS messaging, and SMS printers are being used to deliver results digitally, with some programs reporting up to 50% reductions in turnaround times. However, merely delivering results is not enough - systems also need to ensure results are received and acted upon to improve patient outcomes.
Health outcomes research is seen as a cost-effective investment in measuring and defining value of new innovations in health care. We provide an overview of field and its applications
Collective intelligence in healthcare can help address system challenges.
The Health Consensus system gathers professionals' input using different methods to reach consensus on issues like assessing health plans, selecting quality indicators, and training.
Participants perceive the process as efficient and that their involvement provides value to useful and relevant contributions.
This document discusses Dignity Health's efforts to improve care coordination and reduce readmissions through risk stratification. The goals were to better understand readmission risk profiles, improve clinician and care coordination workflows, and continuously monitor metrics to reduce readmissions by 10% or more. SAS analytics were used to create a readmission risk model using 13 predictors related to historical metrics, comorbidities and demographics. The risk scores were used to target high-risk patients and delegate improved discharge planning and follow-up. Preliminary data shows reductions in readmission rates and times between readmissions through these targeted care pathways.
A presentation from a workshop held at The University of St Mark & St john in November, 2014. The session was an information exchange session on the new NICE guidelines PH54 (exercise referral schemes to promote physical activity)
Similar to Evaluation of trained Accredited Social Health Activist (ASHA) workers and Supervisors associated with ‘Aarogya Project’ regarding their knowledge attitude and practices about Health Management Information Sys
The Relationship of Technical Planning Capability and Evaluation of Coordinat...irjes
This study examines the relationship between technical planning capabilities, program coordinator evaluation capabilities, and the successful achievement of health programs in Banjarbaru City, Indonesia in 2012. The study used a cross-sectional observational design involving 48 health center program coordinators. The results showed that most coordinators had good technical planning (97%) and evaluation (62.5%) capabilities. The majority (77%) of health programs achieved success, while 23% achieved moderate success and none achieved less success. Statistical analysis found no significant relationships between technical planning/evaluation capabilities and program success achievement. The study concludes that technical planning and evaluation capabilities of coordinators are not related to the successful achievement of health programs in Banjarbaru City.
Highlights from three different speakers on the actual use of dashboards for decisionmaking.
MEASURE Evaluation shares the results of a landscape analysis looking for specific examples of dashboards prompting action. BroadReach shares an example of how their Vantage platform is making HIV data accessible in South Africa. JSI shares an example of low-tech but high-impact dashboard development and coaching that has transformed districts in Zimbabwe.
International Refereed Journal of Engineering and Science (IRJES) irjes
International Refereed Journal of Engineering and Science (IRJES)
Ad hoc & sensor networks, Adaptive applications, Aeronautical Engineering, Aerospace Engineering
Agricultural Engineering, AI and Image Recognition, Allied engineering materials, Applied mechanics,
Architecture & Planning, Artificial intelligence, Audio Engineering, Automation and Mobile Robots
Automotive Engineering….
Topic: Role of ICT in Achieving Good Governance, with a
Reference to Uttar Pradesh:
A Study of select Government Program.
Enrollment No.: Ph.D. /15/MGMT/1922
Field: Management
University: Dr. A.P.J. Abdul Kalam Technical University, Lucknow, UP, India
Strengthening the Health Management Information System: Pilot Assessment of D...HFG Project
The Government of India’s Ministry of Health and Family Welfare (MoHFW) places rigorous emphasis on evidence-based planning, monitoring, and supervision of public health services. Generation and use of reliable, quality health data is crucial for improving the quality of health services, especially to achieve the maternal and child health goals aimed for under the strategic reproductive, maternal, newborn, child, and adolescent health (RMNCH+A) initiative. The Health Management Information System (HMIS), envisioned as the “single window” for all public health data in the country, is thus a critical resource for the government. The MoHFW was supported by the USAID-funded Health Finance and Governance (HFG) project for third party assessment (TPA) of HMIS data quality to strengthen HMIS performance.
Health Informatics Journal - Balanced ScorecardJulius Veracion
The document summarizes the design and evaluation of a balanced scorecard for the health information management department at a large urban hospital in Canada. The creation of the balanced scorecard involved 6 months of planning, development, implementation, and evaluation. Key steps included aligning the scorecard with the hospital's strategy, identifying relevant metrics, gathering staff input, and conducting an evaluation survey. The majority of health information management staff agreed that the balanced scorecard is a useful reporting and management tool, supporting the success of developing it for the department. The process used to identify metrics can help other health information management departments create their own balanced scorecards.
Questionnaire on effectiveness of performance appraisalcoxdennis362
In this file, you can ref useful information about questionnaire on effectiveness of performance appraisal such as questionnaire on effectiveness of performance appraisal methods
Data Quality Assessment Pilot Highlights Focus on Improving HMIS Data Quality...HFG Project
Dr. Vishnu Kant Srivastava leads the Statistics Division at India’s Ministry of Health and Family Welfare (MoHFW). Having managed statistical initiatives at different departments and levels of the government, Dr. Srivastava recognizes the value of quality data for effective decision making. He spoke with USAID’s Health Finance and Governance (HFG) project on the findings of the data quality assessment pilot the HFG team conducted.
Strengthening the Supply Chain Workforce through Mentorship and On the Job Tr...JSI
This poster was presented by Hery Firdaus and Bethany Saad at the International Conference on Family Planning (ICFP) in Kigali, Rwanda in November 2018.
Over the past decade, contraceptive prevalence rates in Indonesia have remained stagnant in part due to inconsistent access to contraceptives at service delivery points. To address critical gaps in the system, JSI collaborated with stakeholders to design a comprehensive package of data centric interventions to strengthen the supply chain workforce, empowering them with new tools, skills and information to enable holistic and continuous supply chain improvement through mentorship, on-the-job training and feedback.
It was noted that during qualitative interviews, provincial and district staff recognized the significant role of mentorship and on-the-job training activities in improving accuracy of recording and reporting and adherence to both inventory management and storage procedures. They pointed out the importance of not only the performance management aspect of the mentorship program, but also its effect on improving communication and coordination between levels. The use of digital tools has made mentoring data visible to all levels of the system and mentors have better understanding of the facilities needs. The use of WhatsApp to communicate has also improved collaboration and coordination between mentor and mentee. The program has been extremely successful and popular with all stakeholders and all districts involved in this project have adopted it and included it in their program budgets.
This document discusses developing result-based monitoring systems to measure the outcomes of government programs and policies. It outlines the differences between traditional, compliance-focused monitoring and evaluation (M&E) versus results-based M&E, which focuses on outcomes and impacts. The Indian government has made efforts towards results-based M&E through tools like the Result Framework Document. However, implementation at the state level remains a challenge. The document also describes J-PAL South Asia's work piloting a school-based monitoring system in Haryana to strengthen implementation of educational programs and identify needs for course correction.
On April 18, 2016, The United States Supreme Court denied a petiti.docxvannagoforth
On April 18, 2016, The United States Supreme Court denied a petition for certiorari (refused to review the lower court’s ruling) in the case of Authors Guild v. Google, Inc., 804 F. 3d 202 - Court of Appeals, 2nd Circuit 2015.
Tell me what you would do if you were the Supreme Court.
That case let stand the ruling of the Court of Appeals, which can be found at the following website:
https://scholar.google.com/scholar_case?case=2220742578695593916&q=Authors+Guild+v.+Google+Inc&hl=en&as_sdt=4000006
Please write a 500-word summary of fair use as this court decision says it.
Running head: YOUR SHORTENED TITLE GOES HERE 1
SHORTENED TITLE GOES HERE (IN CAPS) 2
Plan
What is your plan for evaluation of the strategies using performance improvement data and tracers? What tracers will you use? Include necessary detail to deliver key points and requirements, such as specific data collection methods, timeframes for evaluation, and intended re-evaluation.
Tracer method is a unique technique used by the healthcare organizations, to obtain a real time picture of quality performance from point of entry to discharge. A key part of The Joint Commission’s on-site survey process is the tracer methodology (The Joint Commission, 2017).. Some traditional tracer tools can be used for quality and safety improvement. The focus of these tools is on ….. and the plan for the evaluation of this initiative for fall prevention will use tracers in the following manner….
OR
To evaluate the identified measure is the 30 day readmission rate for patients, data twill be racked by system tracers which will be completed monthly by the Assistant Director of Nursing.
Plan Evaluation
How effective and sustainable is your plan? In other words, evaluate the effectiveness and the ease of use, timeliness, and efficiency of your plan for the progress and success of your initiative.
The plan to prevent falls is effective and sustainable with the involvement and collaboration of all team members by implementing the following strategies… The initiative will be evaluated by the following methods, post implementation…….
OR
Every three months this data will be compiled and analyzed to determine what actions were effective and ineffective. The complete study will take place over a one year period with the desired result of an 15% or below hospital readmission rate.
Use of Tracers
Individual tracers make the most sense to utilize for this proposal because these tracers are designed to “trace” the care experiences that a patient had during hospitalization. For example: in case of fall prevention, these tracers help to track the patient’s experience regarding safety, satisfaction of personal needs, hygiene, compliance of staff during care….. System tracers can be utilized as well, for example….
OR
System tracers provide information by tracking where in an organizational process breakdowns occur or exist and are a valuable tool in identifying where changes needs to occur. ...
This document summarizes a research study on the effectiveness of training on employee performance at National Thermal Power Corporation (NTPC) in India. The study found that there is a significant association between the training provided by NTPC and the performance of employees. A survey was conducted of 50 NTPC employees in the Kota region of India. The results showed that training helped employees acquire new skills and information, improved their work quality, and increased their motivation and job satisfaction. Therefore, the study concluded that training programs are effective in improving employee performance at NTPC.
192020 Capella University Scoring Guide Toolhttpsscor.docxaulasnilda
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MHA-FP5064
u03a1 - Health Information System Implementation
Learner: Monna , Joseph
OVERALL COMMENTS
Mona
This paper is not very clear and specific. You have very genialized explanations of data and are not discussing
data requirements from meaningful use and merit-based incentives. Also you are not supporting the data needs
with CURRENT academic sources. You only have 2 references both from well over 10 years ago. You need
research current trends and best practices from recent sources.
See the rubric below for more specifics.
RUBRICS
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CRITERIA 1
Outline a plan for collecting and analyzing data.
COMPETENCY
Incorporate project management principles into health care administration management and leadership.
NON_PERFORMANCE: Does not outline a plan for collecting and analyzing data.
BASIC:
Outlines a plan for collecting and analyzing data that is impracticable or unlikely to yield limited data for
analysis.
PROFICIENT: Outlines a plan for collecting and analyzing data.
DISTINGUISHED:
Outlines a plan for collecting and analyzing data. Provides a concise and well-articulated outline that
identifies specific data needs and a clear approach to analysis.
Comments:
I am not see a plan that alignes with current trends in health care. Plan needs to address specific data that
would common in an EHR and meet current legislative requirments.
(20%)
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CRITERIA 2
Propose criteria for evaluating organizational needs.
COMPETENCY
Incorporate project management principles into health care administration management and leadership.
NON_PERFORMANCE: Does not propose criteria for evaluating organizational needs.
BASIC:
Proposes criteria for evaluating organizational needs that may lead to erroneous conclusions.
PROFICIENT: Proposes criteria for evaluating organizational needs.
DISTINGUISHED:
Proposes criteria for evaluating organizational needs, and provides relevant, credible evidence that
clearly validates the proposed criteria.
Comments:
Very unclear and is not alinging with best practices from AHIMA, HIMSS or Health IT,gov. Research
current oversight organizations
(16%)
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CRITERIA 3
Outline a plan for generating reports.
COMPETENCY
Incorporate project management principles into health care administration management and leadership.
NON_PERFORMANCE: Does not outline a plan for generating reports.
BASIC:
Outlines a plan for generating reports that is impracticable or unlikely to provide all of the information
necessary to support sound decision making.
PROFICIENT: Outlines a ...
Identifying the basic purposes and scope of M&E. Describing the functions of an M&E plan. Identifying and understanding the main components of an M&E plan
Models of evaluation in educational technologyalsalmi
The document discusses different models for evaluating educational technology programs. It analyzes studies that evaluated continuing medical education web-based programs using Kirkpatrick's model of evaluation, which measures reaction, learning, behavior, and results. Many studies found improved learning outcomes and performance through pre-and post-testing. However, the findings suggest more research is needed to determine which web-based learning systems best enhance practice changes and impact patient health outcomes.
This document proposes using an Internet-Enabled Database Management and Appraisal System (IDAS) to more efficiently evaluate teachers for promotion at Cabuyao Integrated National High School. Currently, the promotion process relies on physical paperwork and record keeping, which is time-consuming and inefficient. The proposed IDAS system would allow teachers to update their records online in real-time and automatically generate rankings to identify qualified candidates. Researchers aim to study the effectiveness of IDAS in consolidating data, evaluating records, reviewing profiles, and generating rankings to monitor readiness for promotion. An online survey will be administered to teachers and administrators to assess their perceptions of IDAS as a promotion evaluation tool.
The document discusses a research project investigating the impact of a HRIS (Human Resource Information System) on the core HR activities of ABC Company. It includes an introduction identifying problems with the new HRIS implementation. The objectives are to analyze and monitor employee attendance for management decision making. The methodology section outlines hypotheses testing the relationships between the HRIS and variables like employee details, performance appraisal, and employee attendance. Data collection involved questionnaires and secondary sources. Analysis found the HRIS positively impacts core HR when technology and processes are well-managed. Recommendations include differentiating HR activities and managing resources. Areas for future research include studying the HRIS impact on all HR activities and considering additional impact factors.
Jagadish Upadhyaya has over 10 years of experience in market research, project management, and data analysis. He has expertise designing research projects, collecting and analyzing both primary and secondary data, and developing insights for clients. Some of his areas of focus include sales effectiveness, finance, health, livelihoods, and urban planning. He currently works as a Senior Manager at The Nielsen Company in India.
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Introduction
Trained healthcare workforce is an important determinant of efficiency and outcomes of any health system as devised by WHO health systems approach. India one of the most populous country of the world has always felt a dire need of healthcare workforce even having one of the largest medical education and capacity building system. On the other hand we have a variety of health cadre namely from an ASHA to super specialized doctors. In our presentation we have critically analyzed the distribution of health workforce in India and its impacts on health and healthcare delivery for the mass of our society.
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India faces an acute shortage of trained health workforce. India has a large basket of interventions to improve the healthcare but they are adversely effected by shortage of trained, motivated and supported health workforce. The shortages and misdistribution of health workforce have a large contribution to inequities in health outcomes. India’s health workforce is a combination of both registered, formal health-care providers and informal medical practitioners. We have a very unique health system with a large public health system and a blanket of juxtaposed private health care system. Similar situation is also present in training and education of health workforce. There is also a lack of data on the exact number of health care providers.
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Evaluation of trained Accredited Social Health Activist (ASHA) workers and Supervisors associated with ‘Aarogya Project’ regarding their knowledge attitude and practices about Health Management Information Sys
1. AAROHI
Evaluation of trained Accredited Social Health Activist
(ASHA) workers and Supervisors associated with
‘Aarogya Project’ regarding their knowledge attitude
and practices about Health Management Information
System.
Evaluation Report
Dr. Tanmay Singh, MPH (Candidate), BDS
7/1/2015
Abstract: The study was conductedwith purpose of evaluating the knowledge attitude and practices about
health management and information system of ASHAs, Supervisors and Area Coordinator associated with
the ‘Aarogya Project’implemented by Aarohi in the remote Okhalkanda blockof Nainital, Uttarakhand.
Aarohi. A cross-sectional study was conducted in the three field areas Karyal, Khansyu and Patlot. In the
evaluation the performance of ASHAs, supervisors and area coordinator was assessed using PRISM
frameworkquestionnaires whichwere modified accordingto the study. It was observed 18% of ASHAs
and 23% of supervisors obtained ‘A’ grade. Chi square statistics of ASHAs and supervisors was significant
whichshows that workexperience is an important factordetermining the performance in the evaluation.
2. Evaluation of trained Accredited Social Health Activist (ASHA) workers and
Supervisors associated with ‘Aarogya Project’ regarding their knowledge attitude
and practices about Health Management Information System.
EXECUTIVE SUMMARY
Health management and information system is a corecomponent of both preventive and curative
health systems, aimed towards monitoring, evaluation, planning and management. This study was
conducted withpurpose of evaluating the knowledge attitude and practices about health
management and information system of ASHAs, Supervisors and Area Coordinator associated with
the ‘Aarogya Project’implemented by Aarohi in the remote Okhalkanda blockof Nainital,
Uttarakhand.
Aarohi has been implementing the Aarogya projectwhich aims to strengthen community-driven
processes that will enable households to increase controlover and improve the health of mothers
and children. To achieve this goal essential health care based on practical, scientifically sound &
socially acceptable methods & technology is being made accessible to individuals and families.
A cross-sectional study was conducted in the three field areas Karyal, Khansyu and Patlot. In the
evaluation the performance of ASHAs, supervisors and area coordinator was assessed using PRISM
frameworkquestionnaires whichwere modified accordingto the study. The participants in the
study were evaluated fortheir knowledge, attitude and perception about HMIS. Three grade scales
was used for evaluation. It was observed 18% of ASHAs and 23% of supervisors obtained ‘A’ grade.
Chi square statistics of ASHAs and supervisors was significant which shows that workexperience is
an important factor determining the performance in the evaluation.
Despite the continuous capacity building of ASHAs and supervisors lacunae still exist in the
knowledge about the importance of data collectionand objectives of data collectionprocess. There
is need of specific capacity building in the arena of HMIS.
3. SUMMARY MATRIX OF FINDINGS, EVIDENCE AND RECOMMENDATIONS
Findings
1. 18% of ASHAs and 23% of supervisors obtained ‘ A’ grade.
2. The maximum percentage of ‘A’ grade forASHAs has been obtained in Karayal area whichis
11%.
3. Khansyu field area has maximum percentage of ‘A’ grade forsupervisors which are 18%.
4. 99% match of data in pen and paper, monthly progress report and computer.
5. 50% of supervisors in Karayal, 28% of supervisors in Khansyu and 43% of supervisors in
Patlotwere able to correctly calculatepercentage and rates.
Evidence
1. Analysis of data collectedvia questionnaires on MicrosoftExcel Professional2010 edition
2. Manual matching of data in monthly progress report withASHA records and computer.
Recommendation
1. There is a need to increase the understanding of importance data collectionand processing.
2. Capacity building in the arena of HMIS at all levels of project.
INTRODUCTION
Background and context
Expenses on health systems are an area of rapid growth. Health management and information
systems are worldwide implemented for decision making, monitoring and evaluation. The issue of
data quality is of major concern to most of the organizations. Aarohi has a well-developedHMIS but
there is a lackin effectivenessand efficiency due to lackof knowledge and perception. The data
collectedis accurate but strategy forits implementation in decision making is lacking. This
evaluation is undertaken to understand the knowledge, attitude and perception among the field
level workers at all level.
4. Evaluation methodology
Across-sectional study was conductedat 70 villages of Okhlakanda block divided into Karyal,
Khansyu and Patlot area. All the ASHA, supervisors and area coordinator workingin the ‘Aarogya
project’ were included in the study. 46 ASHAs out of 60 and 22 supervisors out of 24 participated
in the evaluation and 14 ASHAs and 2 supervisors were excluded as they were absent on the day of
evaluation. Self- administered questionnaires of the PRISMframework were used in evaluation
whichwas modified according tothe study design and need. The collected data was analyzed with
MicrosoftExcel2010 Professional edition and applying Chi square test. The observational
component of the study includes manual matching of data in monthly progress reports, ASHA
records and data entered in the computer. Eachof the study participants was assured by the
authors that the study findings wouldnot have any impact on their job.
Limitations to the evaluation
In the evaluation the pre-test of questionnaire was not performed due to remoteness, logistics and
time constraints. The sample size is based on convenience and is not applicable to the complete
blockas the additional training is only being done in the coverage area of Aarohi only. The study is
performed only in coveragearea of ‘Aarogya Project’and lacks overall validity.
EVALUATION FINDINGS
Complete Results of ASHA evaluation
questionnaire
Complete Results of Supervisor evaluation
questionnaire
Grade
A
Grade
B
Grade
C
Grade A Grade B Grade C
Total 8 19 17 Total 5 5 12
Percentage 18% 44% 38% Percentage 23% 23% 54%
5. The bar graph below shows the area wise comparison on the basis of grades. The questionnaire was
administered to 44 ASHA's. The questionnaire was administered to 15 ASHAs in Karayal, 22 ASHAs
in Khansyu and 9 ASHAs in Patlot.
The bar graph below shows the area wise comparison on the basis of grades. The questionnaire was
administered to 22 Supervisors. The questionnaire was administered to 8 Supervisor in Karayal, 7
supervisors in Khansyu and 7Supervisors in Patlot
Bar Charts of Supervisors grades compared with work experience.
6. Bar Charts of ASHA grades compared with work experience
CONCLUSIONS
The ASHA is an important link between the community and the service provider. The
HMIS depends on primary data collected on the field level. The capacity building in HMIS is
very important to efficiently implement HMIS.
Aarohi implements a system of HMIS based on data collected by ASHAs which is then
reported on monthly basis to the area coordinator level. In an attempt to decrease the
workload a new monthly progress report has been introduced three months back. This
reporting format is very well adapted to the needs of ASHA and supervisors. On close
observation the reporting format provides concise monthly reporting of all indicators for
the villages under the specific supervisor. The area coordinator then sends the collected
monthly reports to the assistant coordinator, who is responsible to present this data to
Project advisor. The mechanism of feedback is present at all levels is present but its
implementation suffers the issues which can be attributed to remoteness and connectivity
issues present in field area. All the participant ASHAs get feedback from the supervisors
and similarly feedback is provided at all levels.
Evaluation clearly shows work experience is an important determinant of the performance
for both ASHA and Supervisors. Data accuracy is 100% in all the areas. In the current study,
100% correct knowledge was observed regarding responsibilities of ASHA and 100%
correct knowledge of data accuracy checking methods was observed in the supervisors
who participated in the study.
In the area wise comparison it was observed 25% supervisor and 33% ASHAs in Krayal
obtained grade ‘A’. This performance is attributed to more no of experienced participants.
In Khansyu, 28% of supervisors and 9% of ASHAs obtained grade ‘A’. In Patlot, 14% of
supervisors and none of the ASHAs obtained grade ‘A’. The observed reason is, less work
7. experience, the area came in the coverage of ‘Aarogya Project’ recently and level of
education in the ASHAs. It is also important to talk about the work burden of ASHAs as they
are frontline workers for many government related services; this fact is important
determinant of efficiency of ASHAs.
In the research, it has been observed that Aarohi trained ASHAs are performing at a high
level but comparative study between ASHAs only receiving government provided training
is needed to concretely define the performance. There is further scope of comparative
study at the level of ASHAs.
RECOMMENDATIONS
1. The HMIS has been introduced with a top to bottom approach and the grass root
level workers have limited capacity in the HMIS which demands focused capacity
building for ASHAs
2. The capacity building of supervisors on detecting of errors, possible reasons of these
errors and possible solutions for elimination of errors.
3. The feedback loop is based on monthly feedback and suffers issue related
remoteness, connectivity and time constraints. There is a requirement to focus on
real time data monitoring like Commcare.
4. The data collected has the required accuracy but capacity building on why collect
data can help in decision making and increasing the efficiency for data focused
planning at level of supervisors
5. The new monthly reporting format is user friendly but the column of expected has
been removed. I recommend its re-introduction as it is a simple yet powerful
measure of performance which requires no knowledge of statistical calculation.
6. The sharing mechanism of monthly reports between the area coordinators is
present. This is an important strength but needs to be mainstreamed with
introduction of measures for inter area feedback. As per evaluators observation the
different areas just email the monthly reports to each other.
8. Acknowledgements
I will like to forward my sincere thanks to Aarohi for giving me the opportunity to perform
this evaluation. In particular, I wish to thanks Dr. Sushil Sharma (Vice Chairman, Aarohi),
Nain Singh (Assistant Coordinator Aarogya Project), Ganga Singh (Area Coordinator
Aarogya Project) and Chandra Shekhar (Office Assistant, Aarohi). Finally, I would like to
thank management and staff of Aarohi for providing support at all levels and this
evaluation had not being possible without their support.
References
1. PRISM framework: a paradigm shift for designing, strengthening and evaluating
routine health information system. Anwer Aqil, Theo Lippeveld and Dairiku Hozumi
2. Monitoring and Evaluation Manual Prepared for ADRA International Food Security
Department.
3. Saving Mothers, Giving Life: Monitoring and Evaluation Overview.
4. PRISM: Performance of Routine Information System Management
PRISM Tools for Assessing, Monitoring, and Evaluating RHIS Performance
5. A Review of Data Quality Assessment Methods for Public Health Information
Systems Hong Chen David Hailey, Ning Wang and Ping Yu
Annexures
1. Questionnaires for ASHA and Supervisors
2. Comprehensive data sheet.