Evidence map›Paper›PMID 38423549›Full record

Trial reportBMJ global health2024

Data-driven decision-making for district health management: a cluster-randomised study in 24 districts of Ethiopia.

Bilal Iqbal Avan, Mehret Dubale, Girum Taye, Tanya Marchant, Lars Åke Persson, Joanna Schellenberg

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMJ global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05310682 (Data-Informed Platform for Health), which is not on this map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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.

NCT05310682 naunknown statusnot on this map

Data-Informed Platform for Health (DIPH)

TypeinterventionalSponsorLondon School of Hygiene and Tropical MedicineRan2020 to 2022Enrolled24ConditionsBehaviorArmsData informed Platfrom for health
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. From Integrated Care to Learning Systems.Healthcare (Basel, Switzerland) · 2026
    Review
  4. 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

6 authors.

Bilal Iqbal AvanPopulation Health, London School of Hygiene & Tropical Medicine, London, UK bilal.avan@lshtm.ac.uk.ORCID http://orcid.org/0000-0003-4531-4508
Mehret DubaleLondon School of Hygiene & Tropical Medicine, London, UK.
Girum TayeHealth System and Reproductive Health Research Directorate, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Tanya MarchantDisease Control, London School of Hygiene & Tropical Medicine, London, UK.ORCID http://orcid.org/0000-0002-4228-4334
Lars Åke PerssonLondon School of Hygiene & Tropical Medicine, London, UK.ORCID http://orcid.org/0000-0003-0710-7954
Joanna SchellenbergDisease Control, London School of Hygiene & Tropical Medicine, London, UK.ORCID http://orcid.org/0000-0002-0708-3676

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUse of local data for health system planning and decision-making in maternal, newborn and child health services is limited in low-income and middle-income countries, despite decentralisation and advances in data gathering. An improved culture of data-sharing and collaborative planning is needed. The Data-Informed Platform for Health is a system-strengthening strategy which promotes structured decision-making by district health officials using local data. Here, we describe implementation including process evaluation at district level in Ethiopia, and evaluation through a cluster-randomised trial.

methodsWe supported district health teams in 4-month cycles of data-driven decision-making by: (a) defining problems using a health system framework; (b) reviewing data; (c) considering possible solutions; (d) value-based prioritising; and (e) a consultative process to develop, commit to and follow up on action plans. 12 districts were randomly selected from 24 in the North Shewa zone of Ethiopia between October 2020 and June 2022. The remaining districts formed the trial's comparison arm. Outcomes included health information system performance and governance of data-driven decision-making. Analysis was conducted using difference-in-differences.

results58 4-month cycles were implemented, four or five in each district. Each focused on a health service delivery challenge at district level. Administrators' practice of, and competence in, data-driven decision-making showed a net increase of 77% (95% CI: 40%, 114%) in the regularity of monthly reviews of service performance, and 48% (95% CI: 9%, 87%) in data-based feedback to health facilities. Statistically significant improvement was also found in administrators' use of information to appraise services. Qualitative findings also suggested that district health staff reported enhanced data use and collaborative decision-making.

conclusionsThis study generated robust evidence that 20 months' implementation of the Data-Informed Platform for Health strengthened health management through better data use and appraisal practices, systemised problem analysis to follow up on action points and improved stakeholder engagement. TRIAL REGISTRATION NUMBER: NCT05310682.

Indexed as

Child Health ServicesHealth Information SystemsChildDelivery of Health CareEthiopiaHumansInfant, NewbornChild healthCluster randomized trialHealth systemsHealth systems evaluationMaternal health

Identifiers

PMID38423549
PMCPMC10910485

What OpenQuestion holds

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Registered trials

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.