Data-driven decision-making for district health management: a cluster-randomised study in 24 districts of Ethiopia
| Autor: | Joanna Schellenberg, Tanya Marchant, Lars Åke Persson, Bilal Iqbal Avan, Mehret Dubale, Girum Taye |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | BMJ Global Health, Vol 9, Iss 2 (2024) |
| Druh dokumentu: | article |
| ISSN: | 2023-0141 2059-7908 |
| DOI: | 10.1136/bmjgh-2023-014140 |
| Popis: | Background Use 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.Methods We 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.Results 58 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.Conclusions This 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|