Evidence map›Paper›PMID 42125070›Full record

ArticleHealth policy OPEN2026

Developing a framework for improved data use in health management at the district level in Malawi health management information system.

Auxilia Nyaukaya Kaunda, Tiwonge Davis Manda, Jens Johan Kaasbøll

Abstract read
In one paragraph

Article in Health policy OPEN, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Auxilia Nyaukaya KaundaSchool of Natural and Applied Sciences, Computing Department, University of Malawi, P.O. Box 280 Zomba, Malawi.
Tiwonge Davis MandaSchool of Natural and Applied Sciences, Computing Department, University of Malawi, P.O. Box 280 Zomba, Malawi.
Jens Johan KaasbøllDepartment of Informatics, University of Oslo, Gaustadalleen 23B, Ole-Johan Dahls hus, 0373 Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effective use of Health Management Information Systems (HMIS) is critical for strengthening decision-making and resource allocation in healthcare, particularly in low and middle-income countries such as Malawi. Yet, district level data use remains constrained by institutional challenges that undermine the potential of HMIS. This study proposes a framework to enhance data use in health management at the district level, drawing on institutional theory and the dynamics of coercive, normative and mimetic pressures. A qualitative approach was employed, including semi-structured interviews, participant observations, and documents analysis, to examine how these pressures shape data practices within Malawi's health sector. Findings reveal that improved data use depends on key activities such as regulating practices, building human capacity, sustaining efforts, integrating data tools and platforms, coordinating processes and partnerships, motivating contributions, and sharing best practices. By addressing these institutional concerns, the proposed framework offers actionable recommendations for policymakers and practitioners to foster a culture of data use, strengthen health management decision-making, and advance ICT4D scholarship on HMIS effectiveness and health outcomes in low and middle-income settings.

Identifiers

PMID42125070
PMCPMC13158773

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.