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Health Systems and Health Information Systems
Introduction to RHIS
ROUTINE HEALTH INFORMATION SYSTEMS
A Curriculum on Basic Concepts and Practice
The complete RHIS curriculum is available here:
https://www.measureevaluation.org/our-work/ routine-health-
information-systems/rhis-curriculum
RHIS in the Spotlight:
MA4Health Summit in June 2015
• Call for Action:
• Maximize effective use of the data revolution,
based on open standards, to rapidly improve
health facility and community health
information systems, including well-
functioning disease and risk surveillance
systems, and financial and health workforce
accounts
2
Learning Objectives
By the end of this module, participants will be able to:
• Understand the essential link between the health system and the
health information system
• Explain who needs health data, what type of data is needed, and
how data could be used
• Describe the six components of a health information system,
according to the Health Metrics Network (HMN) framework
• Describe the health data sources and give examples of each data
source and its categories
• Define a routine health information system (RHIS)
• Describe what they will learn in this RHIS course
3
Module 1: Health System and Health Information System
Duration: 3 hours
Suggested References
• International Health Partnership + Related Initiatives (IPH+) and World Health
Organization (WHO). (2011). Monitoring, evaluation and review of national
health strategies: a country-led platform for information and accountability.
Geneva, Switzerland: WHO. Retrieved from
http://www.who.int/healthinfo/country_monitoring_evaluation/documentatio
n/en/.
• Health Metrics Network. Framework and standards for country health
information system, 2nd edition. (2012). Geneva, Switzerland: World Health
Organization (WHO). Retrieved from
http://www.hrhresourcecenter.org/node/746
• WHO. Everybody’s business: strengthening health systems to improve health
outcomes: WHO’s framework for action. (2007). Geneva: WHO. Retrieved from
http://www.who.int/healthsystems/strategy/en/.
• WHO, United States Agency for International Development, & University of
Oslo. Health facility information system resource kit. (Draft; February 2015).
4
Group Exercise on Health System
Strengthening
Duration: 30 minutes
• Read the speech given by Margaret Chan at the G8
conference in 2009
• List the current health challenges
• Identify major themes of health system strengthening
5
The Health Challenges
• Inefficiencies in the delivery of services and good governance
• Access to care, especially of the poor (protect the poor;
guarantee universal access to basic healthcare)
• Equity and fairness in health-service delivery
• Costs of healthcare pushing people below the poverty line
• Stagnancy in improving service coverage
• Maternal and child mortality
• High-mortality diseases: tuberculosis, HIV and AIDS, vaccine-
preventable diseases, malaria
6
The Health Challenges
• Inefficient aid: duplication, fragmentation, multiple reporting
requirements, high transaction costs, and fierce competition for
scarce health staff
• Aging population, urbanization, unhealthy lifestyles, chronic
diseases brings on heavy healthcare costs
• Shortage of healthcare workers and specialized caregivers
• Financial crisis
• Policies, country leadership’s commitment, and innovative
thinking
7
Functions and Goals of a Health System
(http://www.who.int/whr/2000/en/)
FUNCTIONS (6 Building Blocks) GOALS/OUTCOMES OF THE
SYSTEM
Stewardship
Commodities
Infrastructure
Service delivery
Financing
I
N
P
U
T
S
Health
Responsiveness
(the way people are
treated and the
environment)
Fairness in
financial
contribution
Quality
Coverage
Efficiency
Source: WHO, 2000.
8
Human resources
Information
Safety
Health System and HIS
• What is an information system?
• “ … a system that provides specific information
support to the decision-making process at each level
of an organization” (Hurtubise, 1984)
• What is a HEALTH information system?
• … a system that provides specific information support
to the decision-making process at each level of the
health system
9
Health Information System Supports Decision Making at
All Levels
1) At patient/client management level
• Management of the care of an individual patient or client
using information on health status, health services,
behavior and practices, and risks
• Management of health of family and household
10
The Health Information System Supports Decision Making
at All Levels
2) At health-unit management level
• Monitoring and evaluation (M&E) of health services
coverage and quality
• Management of resources for efficient and equitable
allocation, distribution, and use
• Management of vaccines, drugs, cold chain
• Planning program interventions; annual planning
• Disease surveillance
11
The Health Information System Supports Decision
Making at All Levels
3) At system management level
(district/regional/national)
• Policy and strategy decisions
• Health programs planning and management
• Resource management
• Capacity building
• Disease surveillance
• Innovations
• Research
12
Small-Group Exercise on Information Needs
Duration: 30 minutes
• Identify information needs in support of management
functions at all levels
• Use matrix of next slide
13
Management Functions and
Information Support
Management
Level
Functions Information Need
Patient/client Provide quality care
Provide continuity of care
Diagnostic information
Past history
Family history
Health unit Provide pregnancy care to all
pregnant women in
catchment area
Service coverage
Geographic pockets of underserved
women
Commodity supply data
Health system Ensure distribution of health
commodities
in the district
Number of stockouts for essential
drugs or vaccines
Drug cost and efficacy
14
Sources of Health Information
Population-based data sources
• Census
• Surveys
• Civil registration
15
Sources of Health Information
Institution-based sources
Hospitals, health centers, community-based
institutions/service delivery mechanisms
Generate data as a result of administrative and
operational activities from:
• Individual records
• Service records
• Resource records
• Health facility surveys
16
Components and Standards of a National Health
Information System (HMN, 2008)
17
Definition of a Routine Health Information System
• A routine health information system produces
information through routine data collection (periods
of less than a year)
• Data are collected by care providers in communities,
in primary care facilities, in hospitals, and by routine
health-facility assessment (through supervision of
surveys)
18
The Universeof RoutineHealthInformation Systems (Also
Knownas Institution-basedInformationSystems)
• Individual record systems (facility- and community-
based)
• Paper-based records
• Electronic medical records (EMR)
• Service record systems
• Health management information systems (HMIS)
• Facility- and community-based
• Public, private, and parastatal
• Laboratory and imaging information systems (LIIS)
• Disease surveillance information systems
19
The Universe of Routine Health Information Systems
(Also Known as Institution-based Information Systems)
• Resource record systems
• Financial management information systems (FMIS)
• Human resource information systems (HRIS)
• Logistics management information systems (LMIS)
• Infrastructure and equipment management information systems
(IEMIS)
• Health facility surveys
• Service availability and readiness
• Quality of care
• Supervisory records
20
The Role and Importance of Decentralized
Routine Health Information Systems
• Main source of information for (daily) planning and management
of quality health services at district level and below
• Coverage and quality of health interventions
• Disease surveillance
• Commodity security
• Financial information systems
• Also feeding real-time information to national and global levels
• Ideal information system in support of integrated management of
health interventions
21
Performance Criteria of a Well-Functioning Routine
Health Information System
Governance and management
• Policies, legislation, plans,
accountability, and operational
procedures
• Data standards and
accountability
• Human resources
• ICT infrastructure
Data quality
• Individual client data
• Aggregate facility data
• Aggregate community
data
• Assessment of data
quality
• Assurance of data quality
Information Use
• Relevant Indicators
• Data analysis
• Data visualization
• Data interoperability
• Problem solving
22
Routine health information system (RHIS)
RHIS is defined as the ongoing data collection of health status,
health interventions, and health resources for decision
making.
It includes
• Facility based service statistics,
• Epidemiological and surveillance data,
• Community-based health information, and
• Health administration data (e.g. on revenue and costs,
drugs, personnel, training, research, and documentation).
23
The guidelines for RHIS
The guidelines have been structured around four themes:
1. Users’ Data and Decision Support Needs
2. Data Collection Processing, Analysis and Dissemination of
Information
3. Data Integration and Interoperability
4. Governance of RHIS Data Management
24
Three management levels
• Beneficiary Management Level
• Health Facility Management Level
• System Management Level
25
Indicators
“Variables that help to measure changes, directly or
indirectly.”
• Crafting useful indicators is at the center of the process of
monitoring health services and systems
• One of the most important skills required in RHIS design
Look for better indicators, not more indicators
26
Significance of indicators
• Monitor progress toward targets and to measure
changes over time;
• Relate raw data to standardized populations;
• Enable comparison among and within different
levels of the health system; or
• Communicate how numbers compare, based on
the same size of population or staff.
27
CORE INDICATOR SET
A parsimonious set of broadly agreed indicators is the basic
tool for countries and subnational areas to promote the shift
from a data-led to an information-led information system—
the foundation of evidence based decision making.
Each country should have a core indicator set for both national
planning as well as for lower-level management of clients,
facilities, and systems.
28
Qualities of a good indicator set
Should target all major attributes of the health system to end
up with a well-balanced set of indicators
Should provide complete, concise information on important
aspects of the health system
Health determinants, health systems, and health status
A good indicator is…
• Reliable
• Appropriate
• Valid
• Easy to collect
• Sensitive and Specific
29
Domains of Health indicators
30
SYSTEMS CLASSIFICATION OF INDICATORS
Five classes of indicators
• Input,
• Process,
• Output,
• Outcome, and
• Impact
31
National Indicators
State/Provincial Level Indicators
District-Level Indicators
Facility-Level Indicators
32
Use of indicators at various levels
33
Operationalizing Indicators
• Data definitions.
• Data sources.
• Reporting frequency.
• Targets.
• Indicator reference sheets.
34
Data definition
• Standardize definitions of individual data elements and
indicators, applying international standards as feasible.
35
Service delivery data definitions
36
Health Metrics Network population- and
institution-based data sources.
37
TARGET POPULATIONS
• At all levels, and particularly at facility level, it is important to
know how many people live in the catchment area and how
many need health services.
38
INDICATOR REFERENCE SHEETS
• Documentation of these operationalized
indicators should be put together in an indicator
compendium. For each indicator, an indicator
reference sheet needs to be developed; it should
include:
• A definition of the data elements
• The data source.
• The frequency of reporting
39
Data Collection, Processing, Analysis and
Dissemination of Information
• Collection of data is by two ways;
1) routinely 2) non-routinely
• All national systems use both routinely and non-routinely collected data
for planning and managing their health services.
• The choice of appropriate data collection methods is linked to
frequency of decision making, and complexity and cost of data
collection.
40
You will learn the following concepts:
• Methods of health facility and community-based data collection.
• How to report and transmit data.
• How to ensure data quality.
• How to ensure data confidentiality.
• How to analyze data.
• How to store data.
• How to disseminate data.
41
Overview of data collection tools
• Individual patient records (including electronic
records).
• Family record cards.
• Tally sheets.
• Registers.
• Tickler files.
• Electronic systems.
• Mobile phones
42
INDIVIDUAL RECORD CARDS
• All individual beneficiaries need a card or file in which
to record the details of their interaction with the health
service provider.
• A variety of categories of individual patient records
exist, defined by
• age group or disease category
• the Road to Health card,
• the Child Health booklet,
• the Women’s Health book,
• the Chronic Disease card,
• the TB
• patient treatment card.
43
Family record cards
• All information for an entire family is collected in
one place, complete with individual record cards,
providing a wealth of community information at
household level
44
INDICATOR REFERENCE SHEETS
45
TB ID Card
46
TICKLER FILE SYSTEM
• Tickler file systems are a paper-based equivalent for
managing patients’ appointments and ensuring quality of
care. For the most part, the system requires just two
appointment boxes —one for months and one for days.
47
ELECTRONIC HEALTH RECORDS
• Data is entered only once, saving staff much time and trouble.
• Such systems can help ensure continuity of care and can be used to remind
clients and service providers to follow up.
• Electronic systems can improve quality of care by building in diagnostic
algorithms and service provider support.
• Communication can be facilitated between different medical and
administrative units.
• Coordination can be facilitated between clinical provider, pharmacies, and
laboratory so that requests from clinicians can be acted on quickly and results
can be fed back immediately.
48
Facility Record Systems
• Registers
• Tick registers
• Tally sheets
49
Registers
50
51
MOBILE TECHNOLOGY FOR THE COLLECTION OF
COMMUNITY HEALTH DATA
• Community health workers can enter individual
patient data directly into databases.
• Health facilities can report on notifiable diseases
and other immediately reportable conditions.
• Management of public health logistics (e.g.,
essential medicines) and ordering critical supplies
are facilitated.
52
ROUTINE HEALTH INFORMATION SYSTEMS
A Curriculum on Basic Concepts and Practice
This presentation was produced with the support of the United States Agency for International
Development (USAID) under the terms of MEASURE Evaluation cooperative agreement AID-
OAA-L-14-00004. MEASURE Evaluation is implemented by the Carolina Population Center,
University of North Carolina at Chapel Hill in partnership with ICF International; John Snow, Inc.;
Management Sciences for Health; Palladium; and Tulane University. The views expressed in this
presentation do not necessarily reflect the views of USAID or the United States government.

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Introduction to RHIS Practical Lecture 2.pptx

  • 1. Health Systems and Health Information Systems Introduction to RHIS ROUTINE HEALTH INFORMATION SYSTEMS A Curriculum on Basic Concepts and Practice The complete RHIS curriculum is available here: https://www.measureevaluation.org/our-work/ routine-health- information-systems/rhis-curriculum
  • 2. RHIS in the Spotlight: MA4Health Summit in June 2015 • Call for Action: • Maximize effective use of the data revolution, based on open standards, to rapidly improve health facility and community health information systems, including well- functioning disease and risk surveillance systems, and financial and health workforce accounts 2
  • 3. Learning Objectives By the end of this module, participants will be able to: • Understand the essential link between the health system and the health information system • Explain who needs health data, what type of data is needed, and how data could be used • Describe the six components of a health information system, according to the Health Metrics Network (HMN) framework • Describe the health data sources and give examples of each data source and its categories • Define a routine health information system (RHIS) • Describe what they will learn in this RHIS course 3
  • 4. Module 1: Health System and Health Information System Duration: 3 hours Suggested References • International Health Partnership + Related Initiatives (IPH+) and World Health Organization (WHO). (2011). Monitoring, evaluation and review of national health strategies: a country-led platform for information and accountability. Geneva, Switzerland: WHO. Retrieved from http://www.who.int/healthinfo/country_monitoring_evaluation/documentatio n/en/. • Health Metrics Network. Framework and standards for country health information system, 2nd edition. (2012). Geneva, Switzerland: World Health Organization (WHO). Retrieved from http://www.hrhresourcecenter.org/node/746 • WHO. Everybody’s business: strengthening health systems to improve health outcomes: WHO’s framework for action. (2007). Geneva: WHO. Retrieved from http://www.who.int/healthsystems/strategy/en/. • WHO, United States Agency for International Development, & University of Oslo. Health facility information system resource kit. (Draft; February 2015). 4
  • 5. Group Exercise on Health System Strengthening Duration: 30 minutes • Read the speech given by Margaret Chan at the G8 conference in 2009 • List the current health challenges • Identify major themes of health system strengthening 5
  • 6. The Health Challenges • Inefficiencies in the delivery of services and good governance • Access to care, especially of the poor (protect the poor; guarantee universal access to basic healthcare) • Equity and fairness in health-service delivery • Costs of healthcare pushing people below the poverty line • Stagnancy in improving service coverage • Maternal and child mortality • High-mortality diseases: tuberculosis, HIV and AIDS, vaccine- preventable diseases, malaria 6
  • 7. The Health Challenges • Inefficient aid: duplication, fragmentation, multiple reporting requirements, high transaction costs, and fierce competition for scarce health staff • Aging population, urbanization, unhealthy lifestyles, chronic diseases brings on heavy healthcare costs • Shortage of healthcare workers and specialized caregivers • Financial crisis • Policies, country leadership’s commitment, and innovative thinking 7
  • 8. Functions and Goals of a Health System (http://www.who.int/whr/2000/en/) FUNCTIONS (6 Building Blocks) GOALS/OUTCOMES OF THE SYSTEM Stewardship Commodities Infrastructure Service delivery Financing I N P U T S Health Responsiveness (the way people are treated and the environment) Fairness in financial contribution Quality Coverage Efficiency Source: WHO, 2000. 8 Human resources Information Safety
  • 9. Health System and HIS • What is an information system? • “ … a system that provides specific information support to the decision-making process at each level of an organization” (Hurtubise, 1984) • What is a HEALTH information system? • … a system that provides specific information support to the decision-making process at each level of the health system 9
  • 10. Health Information System Supports Decision Making at All Levels 1) At patient/client management level • Management of the care of an individual patient or client using information on health status, health services, behavior and practices, and risks • Management of health of family and household 10
  • 11. The Health Information System Supports Decision Making at All Levels 2) At health-unit management level • Monitoring and evaluation (M&E) of health services coverage and quality • Management of resources for efficient and equitable allocation, distribution, and use • Management of vaccines, drugs, cold chain • Planning program interventions; annual planning • Disease surveillance 11
  • 12. The Health Information System Supports Decision Making at All Levels 3) At system management level (district/regional/national) • Policy and strategy decisions • Health programs planning and management • Resource management • Capacity building • Disease surveillance • Innovations • Research 12
  • 13. Small-Group Exercise on Information Needs Duration: 30 minutes • Identify information needs in support of management functions at all levels • Use matrix of next slide 13
  • 14. Management Functions and Information Support Management Level Functions Information Need Patient/client Provide quality care Provide continuity of care Diagnostic information Past history Family history Health unit Provide pregnancy care to all pregnant women in catchment area Service coverage Geographic pockets of underserved women Commodity supply data Health system Ensure distribution of health commodities in the district Number of stockouts for essential drugs or vaccines Drug cost and efficacy 14
  • 15. Sources of Health Information Population-based data sources • Census • Surveys • Civil registration 15
  • 16. Sources of Health Information Institution-based sources Hospitals, health centers, community-based institutions/service delivery mechanisms Generate data as a result of administrative and operational activities from: • Individual records • Service records • Resource records • Health facility surveys 16
  • 17. Components and Standards of a National Health Information System (HMN, 2008) 17
  • 18. Definition of a Routine Health Information System • A routine health information system produces information through routine data collection (periods of less than a year) • Data are collected by care providers in communities, in primary care facilities, in hospitals, and by routine health-facility assessment (through supervision of surveys) 18
  • 19. The Universeof RoutineHealthInformation Systems (Also Knownas Institution-basedInformationSystems) • Individual record systems (facility- and community- based) • Paper-based records • Electronic medical records (EMR) • Service record systems • Health management information systems (HMIS) • Facility- and community-based • Public, private, and parastatal • Laboratory and imaging information systems (LIIS) • Disease surveillance information systems 19
  • 20. The Universe of Routine Health Information Systems (Also Known as Institution-based Information Systems) • Resource record systems • Financial management information systems (FMIS) • Human resource information systems (HRIS) • Logistics management information systems (LMIS) • Infrastructure and equipment management information systems (IEMIS) • Health facility surveys • Service availability and readiness • Quality of care • Supervisory records 20
  • 21. The Role and Importance of Decentralized Routine Health Information Systems • Main source of information for (daily) planning and management of quality health services at district level and below • Coverage and quality of health interventions • Disease surveillance • Commodity security • Financial information systems • Also feeding real-time information to national and global levels • Ideal information system in support of integrated management of health interventions 21
  • 22. Performance Criteria of a Well-Functioning Routine Health Information System Governance and management • Policies, legislation, plans, accountability, and operational procedures • Data standards and accountability • Human resources • ICT infrastructure Data quality • Individual client data • Aggregate facility data • Aggregate community data • Assessment of data quality • Assurance of data quality Information Use • Relevant Indicators • Data analysis • Data visualization • Data interoperability • Problem solving 22
  • 23. Routine health information system (RHIS) RHIS is defined as the ongoing data collection of health status, health interventions, and health resources for decision making. It includes • Facility based service statistics, • Epidemiological and surveillance data, • Community-based health information, and • Health administration data (e.g. on revenue and costs, drugs, personnel, training, research, and documentation). 23
  • 24. The guidelines for RHIS The guidelines have been structured around four themes: 1. Users’ Data and Decision Support Needs 2. Data Collection Processing, Analysis and Dissemination of Information 3. Data Integration and Interoperability 4. Governance of RHIS Data Management 24
  • 25. Three management levels • Beneficiary Management Level • Health Facility Management Level • System Management Level 25
  • 26. Indicators “Variables that help to measure changes, directly or indirectly.” • Crafting useful indicators is at the center of the process of monitoring health services and systems • One of the most important skills required in RHIS design Look for better indicators, not more indicators 26
  • 27. Significance of indicators • Monitor progress toward targets and to measure changes over time; • Relate raw data to standardized populations; • Enable comparison among and within different levels of the health system; or • Communicate how numbers compare, based on the same size of population or staff. 27
  • 28. CORE INDICATOR SET A parsimonious set of broadly agreed indicators is the basic tool for countries and subnational areas to promote the shift from a data-led to an information-led information system— the foundation of evidence based decision making. Each country should have a core indicator set for both national planning as well as for lower-level management of clients, facilities, and systems. 28
  • 29. Qualities of a good indicator set Should target all major attributes of the health system to end up with a well-balanced set of indicators Should provide complete, concise information on important aspects of the health system Health determinants, health systems, and health status A good indicator is… • Reliable • Appropriate • Valid • Easy to collect • Sensitive and Specific 29
  • 30. Domains of Health indicators 30
  • 31. SYSTEMS CLASSIFICATION OF INDICATORS Five classes of indicators • Input, • Process, • Output, • Outcome, and • Impact 31
  • 32. National Indicators State/Provincial Level Indicators District-Level Indicators Facility-Level Indicators 32
  • 33. Use of indicators at various levels 33
  • 34. Operationalizing Indicators • Data definitions. • Data sources. • Reporting frequency. • Targets. • Indicator reference sheets. 34
  • 35. Data definition • Standardize definitions of individual data elements and indicators, applying international standards as feasible. 35
  • 36. Service delivery data definitions 36
  • 37. Health Metrics Network population- and institution-based data sources. 37
  • 38. TARGET POPULATIONS • At all levels, and particularly at facility level, it is important to know how many people live in the catchment area and how many need health services. 38
  • 39. INDICATOR REFERENCE SHEETS • Documentation of these operationalized indicators should be put together in an indicator compendium. For each indicator, an indicator reference sheet needs to be developed; it should include: • A definition of the data elements • The data source. • The frequency of reporting 39
  • 40. Data Collection, Processing, Analysis and Dissemination of Information • Collection of data is by two ways; 1) routinely 2) non-routinely • All national systems use both routinely and non-routinely collected data for planning and managing their health services. • The choice of appropriate data collection methods is linked to frequency of decision making, and complexity and cost of data collection. 40
  • 41. You will learn the following concepts: • Methods of health facility and community-based data collection. • How to report and transmit data. • How to ensure data quality. • How to ensure data confidentiality. • How to analyze data. • How to store data. • How to disseminate data. 41
  • 42. Overview of data collection tools • Individual patient records (including electronic records). • Family record cards. • Tally sheets. • Registers. • Tickler files. • Electronic systems. • Mobile phones 42
  • 43. INDIVIDUAL RECORD CARDS • All individual beneficiaries need a card or file in which to record the details of their interaction with the health service provider. • A variety of categories of individual patient records exist, defined by • age group or disease category • the Road to Health card, • the Child Health booklet, • the Women’s Health book, • the Chronic Disease card, • the TB • patient treatment card. 43
  • 44. Family record cards • All information for an entire family is collected in one place, complete with individual record cards, providing a wealth of community information at household level 44
  • 47. TICKLER FILE SYSTEM • Tickler file systems are a paper-based equivalent for managing patients’ appointments and ensuring quality of care. For the most part, the system requires just two appointment boxes —one for months and one for days. 47
  • 48. ELECTRONIC HEALTH RECORDS • Data is entered only once, saving staff much time and trouble. • Such systems can help ensure continuity of care and can be used to remind clients and service providers to follow up. • Electronic systems can improve quality of care by building in diagnostic algorithms and service provider support. • Communication can be facilitated between different medical and administrative units. • Coordination can be facilitated between clinical provider, pharmacies, and laboratory so that requests from clinicians can be acted on quickly and results can be fed back immediately. 48
  • 49. Facility Record Systems • Registers • Tick registers • Tally sheets 49
  • 51. 51
  • 52. MOBILE TECHNOLOGY FOR THE COLLECTION OF COMMUNITY HEALTH DATA • Community health workers can enter individual patient data directly into databases. • Health facilities can report on notifiable diseases and other immediately reportable conditions. • Management of public health logistics (e.g., essential medicines) and ordering critical supplies are facilitated. 52
  • 53. ROUTINE HEALTH INFORMATION SYSTEMS A Curriculum on Basic Concepts and Practice This presentation was produced with the support of the United States Agency for International Development (USAID) under the terms of MEASURE Evaluation cooperative agreement AID- OAA-L-14-00004. MEASURE Evaluation is implemented by the Carolina Population Center, University of North Carolina at Chapel Hill in partnership with ICF International; John Snow, Inc.; Management Sciences for Health; Palladium; and Tulane University. The views expressed in this presentation do not necessarily reflect the views of USAID or the United States government.