Evidence map›Paper›PMID 40811689›Full record

ArticlePLOS global public health2025

Perceived accuracy and utilisation of DHIS2 data for health decision making and advocacy in Kenya: A Qualitative Study.

Phoene Mesa Oware, Gregory Omondi, Celestine Adipo, Mohamed Adow, Conrad Wanyama, Dan Odallo, Nelly Bosire, Lawrence Okong'o, Michuki Maina, Jalemba Aluvaala and 14 more

Abstract read
In one paragraph

Article in PLOS global public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
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

24 authors.

Phoene Mesa OwareKenya Paediatric Research Consortium, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-6992-8021
Gregory OmondiKenya Paediatric Research Consortium, Nairobi, Kenya.
Celestine AdipoKenya Paediatric Research Consortium, Nairobi, Kenya.
Mohamed AdowKenya Paediatric Research Consortium, Nairobi, Kenya.
Conrad WanyamaKenya Paediatric Research Consortium, Nairobi, Kenya.
Dan OdalloKenya Paediatric Research Consortium, Nairobi, Kenya.
Nelly BosireKenya Paediatric Research Consortium, Nairobi, Kenya.ORCID https://orcid.org/0009-0005-5030-586X
Lawrence Okong'oKenya Paediatric Association, Nairobi, Kenya.ORCID https://orcid.org/0000-0001-6531-7189
Michuki MainaKenya Paediatric Research Consortium, Nairobi, Kenya.
Jalemba AluvaalaKenya Paediatric Research Consortium, Nairobi, Kenya.
Peter NgwatuKenya Paediatric Research Consortium, Nairobi, Kenya.
David GithangaKenya Paediatric Research Consortium, Nairobi, Kenya.
Doris KinuthiaKenya Paediatric Research Consortium, Nairobi, Kenya.
Irene AmadiKenya Paediatric Research Consortium, Nairobi, Kenya.
Grace RukwaroKEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.ORCID https://orcid.org/0009-0001-1894-7273
Linet KeruboMinistry of Health, Nairobi, Kenya.
Cynthia AmisiKenya Paediatric Research Consortium, Nairobi, Kenya.
Allan GovogaMinistry of Health, Nairobi, Kenya.
Janette KarimiMinistry of Health, Nairobi, Kenya.ORCID https://orcid.org/0009-0006-4809-3121
Ali KahtraCouncil of Governors, Nairobi, Kenya.
Andrew MulwaMinistry of Health, Nairobi, Kenya.
Patrick AmothMinistry of Health, Nairobi, Kenya.
Ambrose AgweyuKenya Paediatric Research Consortium, Nairobi, Kenya.
Fred WereKenya Paediatric Research Consortium, Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reliable health information systems (HIS) are critical for effective decision-making in the delivery of Primary Health Care and Reproductive, Maternal, Newborn, Child, Adolescent Health and Nutrition (PHC/RMNCAH+N) services. In Kenya, the District Health Information Software 2 (DHIS2) platform serves as the primary HIS for tracking health indicators. This qualitative study explored perceptions of DHIS2 data accuracy and use for decision-making among PHC/RMNCAH+N stakeholders across 15 counties in Kenya. 89 Key Informant Interviews were conducted with PHC/RMNCAH+N stakeholders, to explore experiences, barriers, and facilitators of DHIS2 data use. Thematic network analysis was employed to identify recurrent themes and generate insights into the utility of DHIS2-generated information. Sociotechnical challenges included limited technical capacity among health staff, inadequate analytical skills, and reliance on a small pool of Health Records Information Officers (HRIOs). However, positive practices emerged, such as the use of DHIS2 dashboards and user-friendly outputs, which were valued for supporting evidence-based decision-making and advocacy, particularly at higher levels of health management. In some counties, visual displays of data, including scorecards and performance trends, facilitated budget advocacy and community engagement. Contextual challenges and constraints, such as use of inconsistent data collection tools across counties post-devolution, human resource shortages, and limited integration of private sector data, contributed to incomplete reporting. These challenges underpinned perceived inaccuracy of DHIS2 data, arguably, hindering the complete reliance on DHIS2 data for planning and decision making. The study highlights the need for targeted investments to improve DHIS2 data accuracy and use through stronger stakeholder coordination, enhanced data synthesis skills, and fostering a culture of data ownership among a wide range of stakeholders in health, including political actors.. Addressing these gaps will contribute to improvement in DHIS2 data quality, enhanced ownership and reliance on DHIS2 data by PHC/RMNCAH+N stakeholders for decision making in Kenya.

Identifiers

PMID40811689
PMCPMC12352824

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.