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Program Evaluation
Regional Workshop on the
Monitoring and Evaluation of HIV/AIDS
Programs
February 14 – 24, 2011
New Delhi, India
Objectives of the Session
By the end of this session, participants will be able to:
 Understand the purpose and role of program evaluation
 Distinguish between different evaluation types and
approaches
 Link evaluation designs to the types of decisions that
need to be made
Why Evaluate HIV/AIDS Programs?
 To improve the design an implementation of a
program
 To reach informed decisions on the allocation of
existing limited resources, thereby increasing
program performance and effectiveness
 To identify factors that influence health and social
outcomes
 To generate knowledge, to know what works and
what does not.
 Good evaluations are public goods
Current Challenges in Evaluating
HIV Preventon Programmes
 HIV prevention programmes are increasingly
complex, multi-component and context-specific
 The underlying behavioural theories leading to
multiple behaviour changes and ultimately impact
are difficult to assess;
 Many projects/interventions/services aim to affect
HIV risk factors and/or vulnerabilities rather than
averting HIV infections directly.
Source: Strategic Guidance for Evaluating HIV
Prevention Programmes. UNAIDS 2010
All Programs/Projects have (implicitly
or explicitly):
 Objectives
 Expected outcomes
 Target population
 Mechanism(s) to deliver services (the intervention)
 Criteria for participating in the program
 A conceptual framework that provides rationale for
program existence (sometimes called the Development
Hypothesis)
Monitoring vs. Evaluation
Objectives of Monitoring:
 To provide information on the functioning of the program:
a) Is it progressing according to plan?
b) Identify problems for correction
 To track key program elements over time (to assess changes)
Characteristics of Monitoring:
• Mostly tracks key quantifiable indicators of key program elements:
• inputs, processes, outputs, and outcomes
• Often done on a routine basis
• Key issue: good measurement using relevant indicators
• No assessment of what is the cause of the change in the indicators
 Objectives of Evaluation:
- To determine whether a program achieved its objectives
- To determine the impact of the program on the outcome
intended by the program
- How much of the observed change in the outcome can be
attributed to the program and not to other factors?
 Characteristics of Evaluation:
- Key issues: causality, quantification of program effect
- Use of evaluation designs to examine whether an observed change in
outcome can be attributed to the program
Note: Monitoring tells you that a change occurred; Impact Evaluation will tell
you whether it was due to the program
Monitoring vs. Evaluation
Source: Strategic Guidance for Evaluating HIV
Prevention Programmes. UNAIDS 2010
Deciding Upon An Appropriate
Evaluation Design
 Indicators: What do you want to measure?
 Provision
 Utilization
 Coverage
 Impact
 Type of inference: How sure to you want to be?
 Adequacy
 Plausibility
 Probability
 Other factors
Source: Habicht, Victora and
Vaughan (1999)
Clarification of Terms
Provision Are the services available?
Are they accessible?
Is their quality adequate?
Utilization Are the services being used?
Coverage Is the target population being reached?
Impact Were there improvements in disease
patterns or health-related behaviors?
Clarification of Terms
Adequacy
assessment
Did the expected changes occur?
Are objectives being met?
Plausibility
assessment
Did the program seem to have an
effect above and beyond other
external influences?
Probability
assessment
Did the program have an effect (P <
x%)
Source: Habicht, Victoria and
Vaughan (1999)
Adequacy Assessment Inferences
 Are objectives being met?
 Compares program performance with previously established
adequacy criteria, e.g. 80% ORT use rate
 No control group
 2+ measurements to assess adequacy of change over time
 Provision, utilization, coverage
 Are activities being performed as planned?
 Impact
 Are observed changes in health or behavior of expected direction and
magnitude?
 Cross-sectional or longitudinal
Source: Habicht, Victora and
Vaughan (1999)
Plausibility Assessment Inferences (1)
 Program appears to have effect above & beyond impact of
non-program influences
 Includes control group
 Historical control group
 Compares changes in community before & after program and attempts to rule out
external factors
 Internal control group
 Compares 3+ groups/individuals with different intensities of exposure to program
(dose-response)
 Compares previous exposure to program between individuals with and without the
disease (case-control)
 External control group
 Compares communities/geographic areas with and without the program
Source: Habicht, Victora and
Vaughan (1999)
Plausibility Assessment Inferences (II)
 Provision, utilization, coverage
 Intervention group appears to have better performance than
control
 Cross-sectional, longitudinal, longitudinal-control
 Impact
 Changes in health/behavior appear to be more beneficial in
intervention than control group
 Cross-sectional, longitudinal, longitudinal-control, case-
control
Source: Habicht, Victora and
Vaughan (1999)
Probability Assessment Inferences
 There is only a small probability that the differences between
program and control areas were due to chance (P < .05)
 Requires control group
 Requires randomization
 Often not feasible for assessing program effectiveness
 Randomization needed before program starts
 Political factors
 Scale-up
 Inability to generalize results
 Known efficacy of intervention
Source: Habicht, Victora and Vaughan (1999)
Source: Habicht, Victoria and
Vaughan (1999)
Evaluation Flow from Simpler to
More Complex Designs
Type of
evaluation Provision Utilization Coverage Impact
Adequacy 1st 2nd 3rd 4th (b)
Plausibility 4th (a) 5th
Probability
Source: Habicht, Victoria and
Vaughan (1999)
Possible Areas of Concern to
Different Decision Makers
Type of
evaluation Provision Utilization Coverage Impact
Adequacy Health center manager
International Agencies
District health managers
International Agencies
Plausibility International Agencies
Donor
agencies
Scientists
Probability Donor Agencies & Scientists
Source: Habicht, Victora and
Vaughan (1999)
Process Evaluations
 Assess whether the program was implemented as
intended
 May look at
 Access to services
 Reach and coverage of services
 Quality of services
 Client satisfaction
 May also provide an understanding of cultural, socio-
political, legal and economic contexts that affect
implementation of the programme.
Outcome/Impact Evaluations
 Assess whether changes in outcome/impacts are
due to the program.
 May look at
 Outcomes such as HIV-related behaviors,
 Health impacts such as HIV status, life expectancy
Program
start
Program
midpoint or end
Time
Outcome
The Evaluation
Question:
How much of
this change
is due to the
program?
Evaluating Program Impact
With
program
Without
program
Program
start
Program
midpoint or end
Time
Outcome
Evaluating Program Impact
Net Program
Impact
Features of Different Study Designs
True experiment Quasi-experiment Non-experimental
Partial coverage/
new programs
Control group
Strongest design
Most expensive
Partial coverage/ new
programs
Comparison group
Weaker than
experimental design
Less expensive
Full coverage programs
--
Weakest design
Least expensive
Readiness criteria for Outcome &
Impact Evaluation
 The program
 is implemented with sufficient quality
 has achieved adequate coverage
 is of long enough duration that expected change in
the specified outcomes for the evaluation has had
time to occur
When to use an experimental or
quasi-experimental design
 The program has unknown
effectiveness
 There is the potential for negative
effects
 The program is politically or otherwise
risky
Source: Strategic Guidance for Evaluating HIV
Prevention Programmes. UNAIDS 2010
Who should plan for Evaluation?
 All programs should conduct basic monitoring
 Most programs should conduct process evaluations
 Implementation assessments
 Quality assessments
 Coverage assessments
 Some programs should conduct outcome evaluation
when evidence is needed as to whether the program
is effective
References
 Adamchak S et al. (2000). A Guide to Monitoring and Evaluating
Adolescent Reproductive Health Programs. Focus on Young Adults, Tool
Series 5. Washington D.C.: Focus on Young Adults.
 Fisher A et al. (2002). Designing HIV/AIDS Intervention Studies. An
Operations Research Handbook. New York: The Population Council.
 Habicht JP et al. (1999) Evaluation designs for adequacy, plausibility and
probability of public health programme performance and impact.
International Journal of Epidemiology, 28: 10-18.
 Rossi P et al. (1999). Evaluation. A systematic Approach. Thousand
Oaks: Sage Publications.
 UNAIDS (2010). Strategic Guidance for Evaluating HIV Prevention
Programmes.
MEASURE Evaluation is a MEASURE project funded by the
U.S. Agency for International Development and implemented by
the Carolina Population Center at the University of North Carolina
at Chapel Hill in partnership with Futures Group International,
ICF Macro, John Snow, Inc., Management Sciences for Health,
and Tulane University. Views expressed in this presentation do not
necessarily reflect the views of USAID or the U.S. Government.
MEASURE Evaluation is the USAID Global Health Bureau's
primary vehicle for supporting improvements in monitoring and
evaluation in population, health and nutrition worldwide.

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Program Evaluations to avoid aids/HIV for children

  • 1. Program Evaluation Regional Workshop on the Monitoring and Evaluation of HIV/AIDS Programs February 14 – 24, 2011 New Delhi, India
  • 2. Objectives of the Session By the end of this session, participants will be able to:  Understand the purpose and role of program evaluation  Distinguish between different evaluation types and approaches  Link evaluation designs to the types of decisions that need to be made
  • 3. Why Evaluate HIV/AIDS Programs?  To improve the design an implementation of a program  To reach informed decisions on the allocation of existing limited resources, thereby increasing program performance and effectiveness  To identify factors that influence health and social outcomes  To generate knowledge, to know what works and what does not.  Good evaluations are public goods
  • 4. Current Challenges in Evaluating HIV Preventon Programmes  HIV prevention programmes are increasingly complex, multi-component and context-specific  The underlying behavioural theories leading to multiple behaviour changes and ultimately impact are difficult to assess;  Many projects/interventions/services aim to affect HIV risk factors and/or vulnerabilities rather than averting HIV infections directly. Source: Strategic Guidance for Evaluating HIV Prevention Programmes. UNAIDS 2010
  • 5. All Programs/Projects have (implicitly or explicitly):  Objectives  Expected outcomes  Target population  Mechanism(s) to deliver services (the intervention)  Criteria for participating in the program  A conceptual framework that provides rationale for program existence (sometimes called the Development Hypothesis)
  • 6. Monitoring vs. Evaluation Objectives of Monitoring:  To provide information on the functioning of the program: a) Is it progressing according to plan? b) Identify problems for correction  To track key program elements over time (to assess changes) Characteristics of Monitoring: • Mostly tracks key quantifiable indicators of key program elements: • inputs, processes, outputs, and outcomes • Often done on a routine basis • Key issue: good measurement using relevant indicators • No assessment of what is the cause of the change in the indicators
  • 7.  Objectives of Evaluation: - To determine whether a program achieved its objectives - To determine the impact of the program on the outcome intended by the program - How much of the observed change in the outcome can be attributed to the program and not to other factors?  Characteristics of Evaluation: - Key issues: causality, quantification of program effect - Use of evaluation designs to examine whether an observed change in outcome can be attributed to the program Note: Monitoring tells you that a change occurred; Impact Evaluation will tell you whether it was due to the program Monitoring vs. Evaluation
  • 8. Source: Strategic Guidance for Evaluating HIV Prevention Programmes. UNAIDS 2010
  • 9. Deciding Upon An Appropriate Evaluation Design  Indicators: What do you want to measure?  Provision  Utilization  Coverage  Impact  Type of inference: How sure to you want to be?  Adequacy  Plausibility  Probability  Other factors Source: Habicht, Victora and Vaughan (1999)
  • 10. Clarification of Terms Provision Are the services available? Are they accessible? Is their quality adequate? Utilization Are the services being used? Coverage Is the target population being reached? Impact Were there improvements in disease patterns or health-related behaviors?
  • 11. Clarification of Terms Adequacy assessment Did the expected changes occur? Are objectives being met? Plausibility assessment Did the program seem to have an effect above and beyond other external influences? Probability assessment Did the program have an effect (P < x%) Source: Habicht, Victoria and Vaughan (1999)
  • 12. Adequacy Assessment Inferences  Are objectives being met?  Compares program performance with previously established adequacy criteria, e.g. 80% ORT use rate  No control group  2+ measurements to assess adequacy of change over time  Provision, utilization, coverage  Are activities being performed as planned?  Impact  Are observed changes in health or behavior of expected direction and magnitude?  Cross-sectional or longitudinal Source: Habicht, Victora and Vaughan (1999)
  • 13. Plausibility Assessment Inferences (1)  Program appears to have effect above & beyond impact of non-program influences  Includes control group  Historical control group  Compares changes in community before & after program and attempts to rule out external factors  Internal control group  Compares 3+ groups/individuals with different intensities of exposure to program (dose-response)  Compares previous exposure to program between individuals with and without the disease (case-control)  External control group  Compares communities/geographic areas with and without the program Source: Habicht, Victora and Vaughan (1999)
  • 14. Plausibility Assessment Inferences (II)  Provision, utilization, coverage  Intervention group appears to have better performance than control  Cross-sectional, longitudinal, longitudinal-control  Impact  Changes in health/behavior appear to be more beneficial in intervention than control group  Cross-sectional, longitudinal, longitudinal-control, case- control Source: Habicht, Victora and Vaughan (1999)
  • 15. Probability Assessment Inferences  There is only a small probability that the differences between program and control areas were due to chance (P < .05)  Requires control group  Requires randomization  Often not feasible for assessing program effectiveness  Randomization needed before program starts  Political factors  Scale-up  Inability to generalize results  Known efficacy of intervention Source: Habicht, Victora and Vaughan (1999) Source: Habicht, Victoria and Vaughan (1999)
  • 16. Evaluation Flow from Simpler to More Complex Designs Type of evaluation Provision Utilization Coverage Impact Adequacy 1st 2nd 3rd 4th (b) Plausibility 4th (a) 5th Probability Source: Habicht, Victoria and Vaughan (1999)
  • 17. Possible Areas of Concern to Different Decision Makers Type of evaluation Provision Utilization Coverage Impact Adequacy Health center manager International Agencies District health managers International Agencies Plausibility International Agencies Donor agencies Scientists Probability Donor Agencies & Scientists Source: Habicht, Victora and Vaughan (1999)
  • 18. Process Evaluations  Assess whether the program was implemented as intended  May look at  Access to services  Reach and coverage of services  Quality of services  Client satisfaction  May also provide an understanding of cultural, socio- political, legal and economic contexts that affect implementation of the programme.
  • 19. Outcome/Impact Evaluations  Assess whether changes in outcome/impacts are due to the program.  May look at  Outcomes such as HIV-related behaviors,  Health impacts such as HIV status, life expectancy
  • 20. Program start Program midpoint or end Time Outcome The Evaluation Question: How much of this change is due to the program? Evaluating Program Impact
  • 22. Features of Different Study Designs True experiment Quasi-experiment Non-experimental Partial coverage/ new programs Control group Strongest design Most expensive Partial coverage/ new programs Comparison group Weaker than experimental design Less expensive Full coverage programs -- Weakest design Least expensive
  • 23. Readiness criteria for Outcome & Impact Evaluation  The program  is implemented with sufficient quality  has achieved adequate coverage  is of long enough duration that expected change in the specified outcomes for the evaluation has had time to occur
  • 24. When to use an experimental or quasi-experimental design  The program has unknown effectiveness  There is the potential for negative effects  The program is politically or otherwise risky Source: Strategic Guidance for Evaluating HIV Prevention Programmes. UNAIDS 2010
  • 25. Who should plan for Evaluation?  All programs should conduct basic monitoring  Most programs should conduct process evaluations  Implementation assessments  Quality assessments  Coverage assessments  Some programs should conduct outcome evaluation when evidence is needed as to whether the program is effective
  • 26. References  Adamchak S et al. (2000). A Guide to Monitoring and Evaluating Adolescent Reproductive Health Programs. Focus on Young Adults, Tool Series 5. Washington D.C.: Focus on Young Adults.  Fisher A et al. (2002). Designing HIV/AIDS Intervention Studies. An Operations Research Handbook. New York: The Population Council.  Habicht JP et al. (1999) Evaluation designs for adequacy, plausibility and probability of public health programme performance and impact. International Journal of Epidemiology, 28: 10-18.  Rossi P et al. (1999). Evaluation. A systematic Approach. Thousand Oaks: Sage Publications.  UNAIDS (2010). Strategic Guidance for Evaluating HIV Prevention Programmes.
  • 27. MEASURE Evaluation is a MEASURE project funded by the U.S. Agency for International Development and implemented by the Carolina Population Center at the University of North Carolina at Chapel Hill in partnership with Futures Group International, ICF Macro, John Snow, Inc., Management Sciences for Health, and Tulane University. Views expressed in this presentation do not necessarily reflect the views of USAID or the U.S. Government. MEASURE Evaluation is the USAID Global Health Bureau's primary vehicle for supporting improvements in monitoring and evaluation in population, health and nutrition worldwide.