RCT Case Study

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Power to the People
Evidence from a Randomized Field
Experiment on Community-Based
Monitoring in Uganda
Martina Björkman, IGIER, University of Bocconi, & CEPR
Jakob Svensson, IIES, Stockholm University, NHH, &
CEPR
Background

Millions of children die from easily preventable
causes

Weak incentives for service providers

Top-down approach to monitoring also lacks
appropriate incentives

Recent focus on strengthening providers’
accountability to citizen-clients


Beneficiaries lack information
Inadequate participation by beneficiaries
Research Questions

Can an intervention that facilitates community-based
monitoring lead to increased quantity of health care?

Increased quality of health care?

Did the intervention increase treatment communities’
ability to exercise accountability?

Did the intervention result in behavioral changes of
staff?
Intervention

50 rural dispensaries in Uganda



Drawn from 9 districts
Households w/in 5 km catchment area
18 local NGOs


Provide communities with information on relative
performance
Encourage beneficiaries to develop a plan that identified
steps the provider and community should take to improve
service performance and ways to get the community more
actively involved in monitoring
Intervention Specifics

Pre-intervention survey data used to compile unique
“report card” for each facility


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Translated into community’s main language
Posters by local artist for non-literate
Information provided to community through
participatory / interactive meetings



Community: suggestions summarized in action plan
Staff: review & analyze performance
Interface: contract outlining what needed to be done, how,
and by whom
Timing

Intervention intended to “kick-start” community
monitoring

Mid-term review after 6 months, but no other outside
presence in communities

Not able to document all actions taken by communities
Data

Pre-intervention survey to collect data for report
cards



Post-intervention survey 1 year after intervention



Quantitative service delivery data from facilities’ own
records
Households’ health outcomes, perceptions of health facility
performance parameters
 Whenever possible supported by patient records
Child mortality (under 5)
Weight of all infants
Roughly 5000 randomly-sampled households in
each survey round
Evidence of Increased
Monitoring

More than 1/3 of Health Unit Management
Committees in treatment communities reformed or
added members; no change in control communities

70% of treatment communities had some sort of
monitoring tool (such as suggestion boxes,
numbered waiting cards, duty rosters); only 16% in
control communities

Performance of staff more often discussed at local
council meetings in treatment communities

NGO reports suggest that discussions shifted from general
to specific issues regarding community contract
Treatment Practices

At facilities in treatment communities significantly:





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More likely to have equipment used during exam (19%
increase)
Shorter wait times (10% decrease)
Less absenteeism (14%age points lower)
More on-time vaccinations
Larger share received information on dangers of selftreatment and family-planning
Also possibility of less drug-leakage
Utilization

At facilities in treatment communities
significantly:



Higher utilization of general outpatient services
(16%)
More deliveries at the facility (68%)
From household surveys:


Consistent increases in use of treatment facilities
Reduction in visits to traditional healers & the
extent of self-treatment
Health Outcomes

Child mortality




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3.2% in treatment communities
4.9% in control communities
90% confidence interval for difference ranges from 0.3%-3.0%
Corresponds to roughly 540 averted deaths (per 55,000
households in treatment communities)
Infant weight


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Compare distributions of weight-for-age (z score)
Difference in means is 0.17 z score
Reduction in average risk of mortality based on risk of death from
infectious disease among underweight children estimated to be
8%
Institutional Issues

Did district or sub-district management react to
intervention?

Check that treatment & control communities have
comparable:




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Monthly supply of drugs
Funding
Construction or infrastructure improvements
Visits from government or Parish staff
Employment (dismissals, transfers, hiring)
External Validity

Idiosyncratic process differed from
community to community in experiment

In another context, process could play out
entirely differently

Cultural factors key
Scaling Up

What actually caused the observed effects?

How to replicate the intervention?


Process dependent on NGO facilitators
No way to know which components of monitoring were
influential
An Alternative Explanation

Possible (but unlikely) that intervention directly
influenced providers’ behaviors


Outcomes not necessarily result of increased monitoring
Considered additional treatment of staff meetings
only but decided against it


Financial reasons
Ethical reasons
Conclusion
?


Impressive effects, but intervention difficult to
replicate
Important piece of causal chain undocumented
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