Evidence map›Paper›PMID 41974894›Full record

ArticleScientific reports2026

Enhancing community death notification in Uganda using a hackathon based approach to integrate mortality surveillance into the electronic Community Health Information System (eCHIS).

Jimmy Patrick Alunyo, Martin Bulamu, Sarah Racheal Akello, Mariam Nambuya, Paul Edward Okello, Enock Tuhereze, Joseph Kitumba, Robert Kato, Nicholas Isabirye, Bwire Godfrey and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 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

12 authors.

Jimmy Patrick AlunyoMinistry of Health Department of Surveillance, Kampala, Uganda. alunyo.j.patrick@gmail.com.
Martin BulamuMinistry of Health Department of Surveillance, Kampala, Uganda.
Sarah Racheal AkelloMinistry of Health Department of Surveillance, Kampala, Uganda.
Mariam NambuyaMinistry of Health Department of Surveillance, Kampala, Uganda.
Paul Edward OkelloMinistry of Health Department of Surveillance, Kampala, Uganda.
Enock TuherezeMinistry of Health Department of Surveillance, Kampala, Uganda.
Joseph KitumbaNational Identification and Registration Authority, Masaka, Uganda.
Robert KatoMinistry of Health Department of Surveillance, Kampala, Uganda.
Nicholas IsabiryeMinistry of Health Department of Surveillance, Kampala, Uganda.
Bwire GodfreyMinistry of Health Department of Surveillance, Kampala, Uganda.
Allan MurutaMinistry of Health Department of Surveillance, Kampala, Uganda.
Caroline KyoziraMinistry of Health Department of Surveillance, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uganda faces persistent weaknesses in mortality surveillance, particularly in the notification of community deaths, which are frequently under-ascertained. Mortality reporting is fragmented across paper-based Ministry of Health (MoH) systems and the civil registration authority (National Identification and Registration Authority [NIRA]), with limited interoperability between platforms. These parallel workflows contribute to duplication, delayed reporting, and incomplete mortality datasets. This study aimed to develop and integrate a harmonised community death notification workflow within the electronic Community Health Information System (eCHIS) using a structured, multi-stakeholder co-design process. We conducted a participatory qualitative descriptive study embedded within a multi-day, multi-stakeholder hackathon designed as a systems co-creation exercise. Data were collected through focus group discussions with Village Health Teams (VHTs) and in-depth interviews with representatives from the Ministry of Health, NIRA, police departments, health facilities, and eCHIS developers. Stakeholders collaboratively mapped existing mortality reporting pathways, identified system-level gaps, and iteratively developed a harmonised community death notification workflow. Qualitative data were analysed using reflexive thematic analysis, and draft workflow components were refined through structured plenary validation sessions. Participants described substantial fragmentation in mortality reporting, including parallel data systems, inconsistent use of Health Management Information System (HMIS) tools, limited feedback to community reporters, and duplication between facility-based reporting and civil registration processes. Based on these findings, a harmonised workflow for community death notification was developed, prioritising feasible variables for community-level capture and structured interoperability with the District Health Information System (DHIS2). The workflow was configured within eCHIS and piloted in 17 districts. Early implementation feedback indicated improved reporting consistency and reduced duplication of community death notifications; however, formal quantitative evaluation was beyond the scope of this study. A structured, participatory hackathon approach enabled the development of an interoperable community death notification workflow aligned with Uganda's national digital health architecture. Integrating mortality surveillance functions within eCHIS offers a feasible systems-strengthening pathway for improving the completeness and coordination of community death reporting in low-resource settings. Further evaluation is warranted to assess effects on data completeness, timeliness, and national mortality surveillance performance.

Indexed as

Health Information SystemsMortalityPopulation SurveillanceDigital HealthHumansUgandaCivil registration and vital statistics (CRVS)Community death notificationDHIS2Digital health systemsInteroperabilityUganda

Identifiers

PMID41974894
PMCPMC13234412

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LicenceCC BY-NC-ND
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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.