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EVALUATION OF LARGE SCALE HEALTH PROGRAMS By: Adam F. Izzeldin; BPEH, MPH, PhD candidate. Department of International Health, TMDU CESAR G. VICTORA et., al. : evaluation of large scale health programs; Michael H. Merson , Robert E. Black , Anne J. Mills . Global health: Diseases, Programs, Systems and Policies, 2011

Evavluation of large scale health programs

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Planning the Evaluation Impact models Types of inference and choice of design Defining the indicators and obtaining the data Carrying out the evaluation Disseminating evaluation findings Working in large-scale evaluations

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Page 1: Evavluation of large scale  health programs

EVALUATION OF LARGE SCALE HEALTH PROGRAMS

By: Adam F. Izzeldin; BPEH, MPH, PhD candidate.

Department of International Health, TMDU

CESAR G. VICTORA et., al. : evaluation of large scale health programs; Michael H. Merson, Robert E. Black, Anne J. Mills. Global health: Diseases, Programs, Systems and Policies, 2011

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ContentsContents

Planning the Evaluation

Impact models

Types of inference and choice of design

Defining the indicators and obtaining the data

Carrying out the evaluation

Disseminating evaluation findings

Working in large-scale evaluations

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Why We Need Large-Scale evaluation?

• In spite of large investments aimed at improving health outcomes in low- and middle-income countries, few programs been properly evaluated ("Evaluation," 2011; Evaluation Gap Working Group, 2006; Oxman et al., 2010).

• Each year billions of dollars are spent on thousands of programs to improve health, education and other social sector outcomes in the developing world, but very few programs benefit from studies that could determine whether or not they actually made a difference (Evaluation Gap Working Group, 2006).

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Types of evaluations

• External evaluation:

Independent

Carried out by researchers not involved in implementation

Funded by third party

• Internal evaluation:

Dependent

Carried out by implementing institutions

Funded by implementers themselves

• Two categories for evaluation: formative and summative.

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Examples for large scale evaluations

• The Multi-Country IMCI Evaluation

• Accelerated Child Survival and Development Initiative

• Tanzanian National Voucher Scheme for Insecticide-Treated Nets

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1. Planning the evaluation

•Who Will Carry Out the Evaluation?

•What Are the Evaluation Objectives?

•When to Plan the Evaluation?

•How Long Will the Evaluation Take?

•Where Will the Evaluation Be Carried Out?

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Who Will Carry Out the Evaluation?

• For internal evaluation: implementing institutions themselves or sometimes with the help of external consultants for specific tasks.

• For external evaluation: national or international institution of research will be recruited (UNICEF commissioned the Bloomberg School of Public Health at Johns Hopkins University to conducted an independent retrospective evaluation of ACSD in Benin, Ghana, and Mali)

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What Are the Evaluation Objectives?

• To review the available documentation on program objectives and goals, and to turn these items into evaluation objectives.

• The ultimate objective of an evaluation is to influence decisions.

• Funders interested in impact outcomes:

(Their decisions will be whether to continue funding ,or strategy needs to be reformulated)

• Local implementers interested in quality of service and population coverage:

(Their decisions are related to improving the program through specific actions)

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When to Plan the Evaluation?

• Before implementation; at the time the program is being designed

• Early onset, prospective evaluations allow collection of baseline data.

• Allows thorough, continuing documentation of program inputs and the contextual variables that may affect the program's impact.

• Early planning may enable the evaluation team to influence how the program is rolled out, thereby improving the validity of future comparisons.

• A disadvantage of prospective evaluations is that program implementation may change over time for reasons that are outside the control.

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How Long Will the Evaluation Take?

• The answer depends on whether the evaluation is retrospective, prospective, or a mixture of both techniques

Fully prospective evaluations include sequential steps:1. Collect baseline information2. Wait until the large-scale program is fully

implemented and reaches high population coverage

3. Allow time for a biological effect to take place in participating individuals

4. Wait until such effect can be measured in an endline survey

5. Clean the data and conduct the analysis

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Where Will the Evaluation Be Carried Out?

• Many large-scale programs are implemented simultaneously in more than one country

• This decision is usually taken in agreement with the implementation agencies

• Selection criteria should include characteristics that are desirable in all participating countries (geography, health system strength, and epidemiological profiles, and health system etc.)

• The rationale for selecting some countries and not others, because will affect the external validity or generalizability of the evaluation findings

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2. Developing an Impact Model….

• The model helps to clarify the expectations of program planners and implementers

• Contributes to the development of the evaluation proposal

• Helps guide the analyses and attribution of the results

• Can help track changes in assumptions as these evolve in response to early evaluation findings.

• Helps implementers and evaluators stay honest about what was expected

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health services attendance rates or mosquito nets

health services attendance rates or mosquito nets

Diagram

training, logistics, and management

training, logistics, and management

Inputs Inputs Outputs Outputs Process Process

staff, drugs, Equipment, teaching materials

staff, drugs, Equipment, teaching materials

percentage of women giving birth at a healthcare facility or the proportion of children sleeping under an insecticide-treated mosquito net

percentage of women giving birth at a healthcare facility or the proportion of children sleeping under an insecticide-treated mosquito net

Outcomes Outcomes

Common framework for evaluation

impacts impacts

reduced mortality or improved nutrition

reduced mortality or improved nutrition

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The IMCI Impact Model

Training ofhealth

workers

Family and community interventions

Health system improvements

Improvedhousehold

compliance/care

Improvedcareseeking &

utilization

Improved preventive practices

Introduction of IMCI

Improved quality of care in health facilities

Improved health/nutrition & reduced mortality

Increased coverage for curative & preventive interventions

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Development of an Impact Model

Steps in the Development of an Impact Model

Step Details

Learn about the program

• Read documents• Interview planners and implementers• Carry out field visits• Use special techniques as needed: cards, sorting exercise

Develop drafts of the model

• Focus on intentions and assumptions• Document responses from implementers• Record iterations and changes as model develops

Quantify and check assumptions

• Review existing evidence and literature • Identify early results from the evaluation- Documentations: what was actually done?- Outcomes: are assumptions confirmed?

Use and evaluate the model

• Develop an evaluation design, testing each assumption if possible

• Plan for analysis, including contextual factors• Analyze• Interpret results with participation by implementers

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A Stepwise Approach to Impact Evaluations

1.Policies; results-based planning: Are the interventions and plans for delivery technically sound and appropriate for the epidemiological and health system context?

2.Provision: Are adequate services being provided? at health facility/community levels?

3.Utilization: Are these services being used by the population?

4. Effective coverage: Have adequate levels of effective coverage been reached in the population?

5.Impact:Is there an impact on health and nutrition?

6.Cost-effectiveness: Is the program cost-effective?

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3.Types of inference and choice of design

• Adequacy Evaluations (converge)

• Plausibility Evaluations (comparison group)

• Before-and-After Study in Program and Comparison Areas

• The Ecological Dose-Response Design

• Randomized (Probability) Evaluation Designs

• Stepped Wedge DesignFigure 16-3 Simplified Conceptual Framework of Factors Affecting Health, from the Standpoint of Evaluation Design

Impact

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4. Defining the indicators and obtaining the data

• Documentation of Program Implementation

• Measuring Coverage (house hold surveys)

• Measuring or Modeling Impact

• Describing Contextual Factors

• Measuring Costs ( unit cost, operations, utilizations)

• Patient-Level Costs (severity of illness )

• Facility-Level Characteristics (quality, scope of service )

• Contextual Variables ( transport, supervision, pa tients' ability to access care)

• Data Collection Methods (cost) and Allocation Methods

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5. Carrying Out the Evaluation

• Starting the evaluation clock

• Feedback to implementers and midstream

corrections

• Linking the independent evaluation to routine

monitoring and evaluation

• Data Analyses

• Analyzing Costs and Cost-Effectiveness (process,

intermediate, and outcome in dicators)

• Interpretation and Attribution

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Types of process, intermediate, and outcome indicators and data needed Type of Indicator Indicator What measured Additional data

Process cost-effectiveness Expected costs and value for money

Budget projections, work plans, coverage

Process total cost perperson treated

Services provided Utilization rates

Process total cost perpreventive item

Services provided Utilization rates

Process Cost per capita Services provided, program effort

Population

Intermediate cost of qualityimprovement

Treatment leading to health gains

Utilization rates adjusted by quality

Outcome cost per deathaverted

Mortality reduction Mortality rates

Outcome cost per lifeyear gained

Mortality reduction Mortality rates and age of death (and life expectancy

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Joint interpretation of findings from adequacy and plausibility analysis How did program areas fare relative to nonprogram areas? (plausibility assessment)

How did impact indicators change over time in the program areas (adequacy Assessment)

Improved No change Worsened

Better Both areas improved, but the program led to faster improvement

Program provided a safety net

Program provided a partial safety net

Same Both areas improved; no ev idence of an additional program impact

No change in either area; no evidence of program impact

Indicators worsened in both areas; no evidence of a safety net

Worse Both areas improved; presence of the program may have precluded the deploy ment of more effective strategy

Program precluded progress; presence of the program may have hindered the deploy ment of more effective strategies

Program was detrimen tal; presence of the program may have hin dered the deployment of more effective strategies

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6. Disseminating Evaluation Findings and Promoting Their Uptake

• Policy makers and

program

implementers at

country level.

• Global scientific

public health

communities.

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7.Working in Large-Scale Evaluations

• First, good evaluations require effective communications

• Second, good evaluations require a broad range of skills and techniques, as well as an interdisciplinary approach.

• Third, good evaluations require patience and flexibility.

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8. Conclusion

• Conducting large-scale evaluations is not for the

fainthearted. This chapter has focused on the

technical aspects of designing and conducting an

evaluation, mentioning only in passing some of

the political and personal challenges involved

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Message taken home

• Ideal designs (based on text books like

this one) must often be modified to

reflect what is possible and affordable

in specific country contexts.

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Thank you for listening