Evaluating Impact of OVC Programs: Standardizing our methods
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Report
Health & Medicine
Jen Chapman presents on the Orphans and Vulnerable Children Program Evaluation Tool Kit, which supports PEPFAR-funded programs and helps fulfill the aims presented in the USAID Evaluation Policy.
MEASURE Evaluation works to improve collection, analysis and presentation of data to promote better use of data in planning, policymaking, managing, monitoring and evaluating population, health and nutrition programs.
Evaluating Impact of OVC Programs: Standardizing our methods
Evaluating the
impact of OVC
programs:
standardizing
our methods
Jenifer Chapman, PhD
Senior OVC Advisor
MEASURE Evaluation
Overview
Background
Purpose of the OVC Survey Tools
Process of development
Guiding principles
Structure and content
When to use the Tools
When not to use the Tools
Using the data
Tools in a Toolbox
There is no single data collection tool that can
meet all OVC program targeting, case
management and M&E requirements.
This set of survey tools responds to distinct
information needs related to program planning
and evaluation, and fills a tools gap.
The problem
High investment in OVC programs BUT impact
is unclear & questions regarding “what works”
in improving household well-being
Part of the challenge: lack of standardized
measures and tools for child and household
outcomes (well-being)
4
The purpose
Standardize population-level child and caregiver well-
being data beyond what is available from routine
surveys
Produce actionable data to inform programs and
enable mid-course corrections
Enable comparative assessments of child and
caregiver well-being and household economic status
across a diverse set of interventions and regions
Who are these tools for?
Local and international research institutions and
other implementing organizations with evaluation
agenda
Our Process
Two step, participatory process:
Build consensus around core impact indicators for
PEPFAR-funded OVC programs
Develop OVC program evaluation (survey) tools
Distilling the core indicators
Step 1: Extensive literature search
Step 2: Gaps (HES, PSS) filled through targeted
research
Result: >600 child/HH wellbeing
questions/indicators
Step 3: Analysis against 8 criteria
Result: shorter list of questions for discussion
9
Inclusion criteria
1. Measures impact/outcomes
2. Amenable to change from program interventions
3. Relevant across a wide range of interventions
4. Contributes to a holistic vision of child wellbeing
5. Verifiable through another source
6. Easy to implement
7. Relevant across different regions / countries
8. Relevant or easily adapted across age and sex
10
Finalizing the core indicators
External working group: solicited review from 49
stakeholders
Received feedback from > 25 individuals/groups
Finalized core set of 12 child and 3 household
measures
11
From indicators to tools:
Guiding principles
Questionnaires measure program outcomes
Program outcome data should be collected by
trained data collectors
A documented protocol is required
Protocol with tools needs to undergo ethical approval
both in the country of data collection and in the US
Tools require pilot testing in new settings before use
Developing the tools
Tools drafted with
strong stakeholder input
Draft tools piloted in
Zambia (and Nigeria)
Cognitive interviews to
test key concepts (e.g.
social support)
Household pre-test of
full tools, procedures
Structure and content
1. Caregiver questionnaire (including questions on
household)
2. Child questionnaire (ages 0-9 years),
administered to caregiver
3. Child questionnaire (ages 10-17), administered
to child with parental consent & child assent
Sections Core questions Optional modules
Section 1: Household
schedule
• Household schedule* (10)
• Changes in household
composition (4)
Section 2: Background
Information on Caregiver
and Household
• Demographic information* (7)
• Work* (3)
• Access to money (3)
• Shelter (1)
• Household Economic Status
(forthcoming)
• Progress out of Poverty
Index or similar (country
specific)
Section 3: Food Security • Household food security (6) • Dietary Diversity (1)
Section 4: Caregiver Well-
being and Attitudes
• General health (2)
• Caregiver support (4)
• Parental self-efficacy (1)
• Perceptions and experience
of child discipline, violent
discipline (forthcoming)
• Gender roles and
decisionmaking power* (9)
Section 5: HIV/AIDS Testing,
Knowledge, Attitudes
• Basic HIV/AIDS knowledge* (7)
• HIV testing* (3)
• Attitudes to condom educ (1)
• HIV/AIDS attitudes* (4)
Section 6: Access to HIV
Prevention, Care & Support
• Household access to services
(1)
*DHS, bold=core indicator
Caregiver questionnaire
Sections Core questions Optional modules
Section 1: Child Health and
Welfare
• Confirm demographics (5)
• General health & disability (4)
• Birth certificate (2)
• Vaccinations (11)
• Fever (<5 years)* (1)
• Diarrhea (<5 years)* (1)
• Experience of neglect (2)
• Slept under mosquito net* (1)
• HIV testing experience* (2)
• Fever: extended* (4)
• Diarrhea: extended* (3)
• Health for children
living with HIV/AIDS
(forthcoming)
Section 2: Education and
Work
• School attendance*,
progression/repeats, drop-outs,
missed school days (5+ years) (9)
• Work for wages (2)
• Early childhood stimulation (2)
Section 3: Food
Consumption
• Food consumption (2+ years) (8) • Dietary diversity (1)
Section 4: Access to HIV
Prevention, Care & Support
• Child access to services (1)
Section 5: Anthropometric
Measures (of Children)
• Weight*, Height*, MUAC
Child questionnaire (ages 0-9)
*DHS, bold=core indicator
Child questionnaire (ages 10-17)
Sections Core questions Optional modules
Section 1: Background
Information on Child
• Confirm demographics* (5)
• Identity of caregiver (1)
Section 2: Diary • Daily log (6)
Section 3: Education • School attendance*,
progression/repeats, drop-
outs (9)
Section 4: Chores & Work • Chores (3)
• Work (7)
Section 5: Food & Alcohol
Consumption
• Food consumption (8)
• Alcohol consumption (3)
• Dietary diversity (1)
Section 6: Health, Support &
Protection
• Birth certificate (2)
• General health & disability (3)
• General support (4)
• Health for children living with
HIV/AIDS (forthcoming)
• Perceptions/experience of
violence (forthcoming)
Section 7: HIV Testing,
Knowledge, and Attitudes
• Basic HIV/AIDS knowledge* (7)
• HIV testing * (3)
• Child development knowledge (6)
• HIV/AIDS attitudes and beliefs (4)
Section 8: Sexual Experience • Sexual behavior (13-17 yrs) (5)
Section 9: Access to HIV
Prevention, Care & Support
• Child access to services (1)
Section 10: Anthropometric
Measures: Weight and Height
• Weight, Height, MUAC
When are these the right tools?
Tools are useful if your question is:
1.Is my program having, or did my program have an impact on the
children and households it reached?
2.What are the characteristics of children and their caregivers in
my country, state/province or district/area, in terms of education,
health, protection, and psychosocial support?
3.Where do the children most in need of program support live?
4.Approximately how many children need services or support?
5.What are the needs of my program’s registered beneficiaries, in
terms of education, health, protection, and psychosocial support?
These are not the right tools for you if…
You want to know:
Which children in selected communities to target
How a particular child/household is faring
Which households, children or caregivers are worst off
What services to provide or refer for a particular child /
household
The number of children/households that are receiving
program support, and the types of support received
Whether staff are carrying out their responsibilities
Whether interventions are being implemented as planned
And, why a special OVC survey?
DHS and MICS take a general population sample
difficult to discern the program’s contribution
DHS and MICS include some, but not all of the OVC
core indicators
Using the Data
Representative sample of program beneficiaries
Data collected at one point in time
Data collected at two points in time
Representative sample of the general population
Beneficiary sample: 1 point in time
Often called: Baseline, Midline or Endline
If baseline or midline: Use data for program
planning or design, or mid-course corrections
Example: high food insecurity found at baseline
Result: Change in workplan, PMP agreed between
partner and USG, emphasizing food security
If endline: Use data to inform follow-on activities
Beneficiary sample: 2 (or more)
points in time
Commonly referred to as an “evaluation”
Baseline data should be used immediately
Evaluation results inform future programming, policy
But, change in wellbeing from time 1 to time 2, does
not mean program is 100% responsible
Much stronger result if:
Comparison group is added (counterfactual)
Panel study / cohort
General population sample
Commonly called a Situation Analysis
Use data for needs-based resource allocation at
national or sub-national level (not individual or
community level)
Example:
Nigeria OVC Situation Analysis
Triangulate
Analyze data alongside DHS and MICS data
Check for differences and similarities
Determine whether differences or similarities
make sense, or point to a data quality issue
Implementation so far
Zambia: Impact evaluation of savings and
internal lending communities on OVC wellbeing
Baseline data available early Fall
Nigeria: Baseline survey of OVC umbrella grant
mechanism beneficiaries in 10 states (planning
phase)
You said a toolkit?
Tools & Manual
Data analysis guide
Template protocol with
consent/assent forms
Data collector training
materials
And then what?
Revising as we learn
Supporting countries to
implement
Where can I find out more?
Go to our website:
http://www.cpc.unc.edu/measure/our-work/ovc
Keep in touch on Child Status Net:
http://childstatus.net/
Email:
Jenifer Chapman: jchapman@futuresgroup.com
and Janet Shriberg: jshriberg@usaid.gov
The research presented here has been supported by the
President’s Emergency Plan for AIDS Relief (PEPFAR)
through the United States Agency for International
Development (USAID) under the terms of MEASURE
Evaluation cooperative agreement GHA-A-00-08-00003-
00. Views expressed are not necessarily those of
PEPFAR, USAID or the United States government.
MEASURE Evaluation is implemented by the Carolina
Population Center at the University of North Carolina at
Chapel Hill in partnership with Futures Group, ICF
International, John Snow, Inc., Management Sciences for
Health, and Tulane University.