Evidence map›Paper›PMID 42802941›Full record

ArticleGlobal health action2026

Digitizing death reporting in Zambia: evaluation of a mobile-based civil registration system.

Collins Ochieng Odhiambo, Esther Nyadzua Katama, Brian Munkombwe, Chomba Mwango, Saviour Moyo, Christopher Chabila Mapoma

Abstract read
In one paragraph

Article in Global health action, 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

6 authors.

Collins Ochieng OdhiamboBloomberg Data for Health Initiative-CDC Foundation, Civil Registration and Vital Statistics department, Kisumu, Kenya.ORCID 0009-0000-8956-3448
Esther Nyadzua KatamaBloomberg Data for Health Initiative-CDC Foundation, Civil Registration and Vital Statistics department, Kisumu, Kenya.ORCID 0009-0003-3399-3037
Brian MunkombweDepartment of Program and Innovation office, CDC Foundation, Atlanta, GA, USA.ORCID 0000-0003-3906-2949
Chomba MwangoBloomberg Data for Health Initiative-CDC Foundation, Civil Registration and Vital Statistics department, Lusaka, Zambia.ORCID 0000-0002-7530-8697
Saviour MoyoMinistry of Health, ICT Mortality Surveillance department, Lusaka, Zambia.
Christopher Chabila MapomaDepartment of Population Studies, School of Humanities and Social Sciences, University of Zambia, Lusaka, Zambia.ORCID 0000-0001-9233-5462

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStrengthening Civil Registration and Vital Statistics (CRVS) systems is essential for generating reliable evidence to guide population health policy and planning. Routine death reporting is a critical first step toward improving data for effective health interventions in low- and middle-income countries.

objectivesThis study evaluates the operational effectiveness of a mobile electronic reporting (e-reporting) system in Zambia, assessing improvements in timeliness, completeness and data quality compared to the paper-based process.

methodsAn implementation case study was conducted in burial offices across high-mortality provinces (Lusaka, Central, Copperbelt, and Southern Provinces) and districts in Zambia. An electronic version of Form 13, the official death notification form, was developed using KoboToolbox to capture facility and community deaths in real time. A dashboard provided real-time monitoring and analysis.

resultsOver six months, the electronic platform captured 115,573 deaths that occurred between January 2021 and June 2025. The e-reporting system achieved an estimated completeness rate of 17.4% (95% CI:17.3%-17.5%), statistically significantly higher than the manual system's completeness rate of 11.9% (95% CI: 11.8%-12.0%) (chi2 = 4.01,

conclusionsDigitizing CRVS death reporting in Zambia improved timeliness, completeness, and data quality, enabling rapid analysis and policy response. These findings demonstrate the potential of digital platforms to strengthen CRVS, enhance disease surveillance, and support data-driven health interventions.

Indexed as

Death CertificatesPopulation SurveillanceVital StatisticsDashboard SystemsData AccuracyHumansZambiacivil registrationDigital healthKoboToolboxmortalityvital statistics

Identifiers

PMID42802941
PMCPMC13629807

What OpenQuestion holds

Textmetadata
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.