Evidence map›Paper›PMID 28969713›Full record

ArticleHealth research policy and systems2017

Generating demand for and use of evaluation evidence in government health ministries: lessons from a pilot programme in Uganda and Zambia.

Sophie Witter, Andrew Kardan, Molly Scott, Lucie Moore, Louise Shaxson

Abstract read
In one paragraph

Article in Health research policy and systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sophie WitterInternational Health Financing and Health Systems, Queen Margaret University, Edinburgh and Oxford Policy Management Associate, Oxford, UK. sophiewitter@blueyonder.co.uk.
Andrew KardanOxford Policy Management, Oxford, UK.
Molly ScottOxford Policy Management, Oxford, UK.
Lucie MooreOxford Policy Management, Oxford, UK.
Louise ShaxsonODI, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Demand-Driven Evaluations for Decisions (3DE) programme was piloted in Zambia and Uganda in 2012-2015. It aimed to answer evaluative questions raised by policymakers in Ministries of Health, rapidly and with limited resources. The aim of our evaluation was to assess whether the 3DE model was successful in supporting and increasing evidence-based policymaking, building capacity and changing behaviour of Ministry staff.

methodsUsing mixed methods, we compared the ex-ante theory of change with what had happened in practice, why and with what results (intended and unintended), including a qualitative assessment of 3DE's contribution. Data sources included a structured quality assessment of the five impact evaluations produced, 46 key informant interviews at national and international levels, structured extraction from 170 programme documents, a wider literature review of relevant topics, and a political economy analysis conducted in Zambia.

resultsWe found that 3DE had a very limited contribution to changing evidence-based policymaking, capacity and behaviour in both countries as a result of having a number of aspirations not all compatible with one another. Co-developing evaluation questions was more time-consuming than anticipated, Ministry evidence needs did not fit neatly into questions suitable for impact evaluations and constricted timeframes for undertaking trials did not necessarily produce the most effective results and value for money. The evaluation recommended a focusing of objectives and a more strategic approach to strengthening evaluative demand and capacity.

conclusionsLessons emerge that are likely to apply in other low- and middle-income settings, such as the importance of supporting evaluative thinking and capacity within wider institutions, of understanding the political economy of evidence use and its uptake, and of allowing for some flexibility in terms of programme targets. Fixating on one type of evidence is unhelpful in the context of institutions like ministries of health, which require a wide range of evidence to plan and deliver programmes. In addition, having success tied to indicators, such as number of 'policy decisions made', provides potentially perverse incentives and neglects arguably more important aspects such as incremental programmatic adjustments and improved implementation.

Indexed as

Decision MakingHealth Services ResearchPolicy MakingCapacity BuildingGovernmentHealth PolicyHumansNational Health ProgramsPilot ProjectsTranslational Research, BiomedicalUgandaZambiaCapacity-buildingEvidence-based policyHealth programmesTheory-based evaluationUgandaZambia

Identifiers

PMID28969713
PMCPMC5625778

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.