Evidence map›Paper›PMID 42490660›Full record

ArticlePloS one2026

Counting missing babies in Tanzania: Neonatal mortality data quality from Tanzania's District Health Information System across 28 Regional and 7 Tertiary hospitals (2015-2024).

Josephine Shabani, Nahya Salim, Lucas Malla, James H Cross, Rebecca E Penzias, Audêncio Victor, Christine Bohne, Ahmad Mohamed Makuwani, Habib Ismail, Felix Bundala and 9 more

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

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

19 authors.

Josephine ShabaniIfakara Health Institute, Dar es Salaam, Tanzania.ORCID https://orcid.org/0000-0002-8006-6135
Nahya SalimIfakara Health Institute, Dar es Salaam, Tanzania.ORCID https://orcid.org/0000-0002-3784-6478
Lucas MallaFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
James H CrossFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Rebecca E PenziasFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Audêncio VictorFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0002-8161-3639
Christine BohneRice360 Institute for Global Health Technologies, Rice University, Houston, Texas, United States of America.
Ahmad Mohamed MakuwaniMinistry of Health, Dodoma, Tanzania.
Habib IsmailMinistry of Health, Dodoma, Tanzania.
Felix BundalaMinistry of Health, Dodoma, Tanzania.
Claud KumalijaMinistry of Health, Dodoma, Tanzania.
Morris OndiekiFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Prosper MshanaIfakara Health Institute, Dar es Salaam, Tanzania.
Jacqueline MinjaIfakara Health Institute, Dar es Salaam, Tanzania.
Irabi KassimIfakara Health Institute, Dar es Salaam, Tanzania.
Jennie JaribuIfakara Health Institute, Dar es Salaam, Tanzania.
Honorati MasanjaIfakara Health Institute, Dar es Salaam, Tanzania.
Eric O OhumaFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Joy E LawnFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe Sustainable Development Goal 3.2 targets reducing the neonatal mortality rate (NMR) to <12 per 1,000 live births by 2030; however, 65 countries, including Tanzania, remain off track. The 2022/23 Tanzania Demographic and Health Survey (TDHS) reported an NMR of 24 per 1,000 live births, equivalent to 48,000 neonatal deaths annually.

methodsNeonatal deaths were extracted from the District Health Information System (DHIS2) for 28 Regional Referral Hospitals (RRHs) and seven tertiary hospitals from 2015 to 2024. Data quality was assessed by: (1) completeness, as the proportion of months each hospital reported neonatal deaths; (2) internal consistency, comparing mean NMR for 2021-2023 with 2024 following WHO guidance; and (3) external plausibility, comparing DHIS2 with DHS and UN estimates. For seven hospitals implementing NEST360 program, NMRs from DHIS2 were compared with the Neonatal Inpatient Dataset (NID) for 2021 and 2024.

resultsBetween 2015 and 2024, DHIS2 recorded an average of >8,500 neonatal deaths annually versus 48,000 expected. RRHs accounted for 30-40% of reported deaths, and tertiary hospitals for 4-11%. Overall monthly reporting completeness was 58.3%, higher in RRHs (median 61.7%, IQR 8.3-95.0%) than in tertiary hospitals (median 50%, IQR 0.8-73.3%), with only 8 RRHs (28.5%) and no tertiary hospital achieving >75% reporting. Only 28.6% of hospitals had internal consistency (NMR within ±33% of the mean) for 2021-2023. The DHIS2 NMR for 2024 was 5.9 per 1,000 (adjusted for ~20% home births), compared to 24 per 1,000 in DHS 2022/23. Compared with NEST360 NID, one tertiary hospital reported lower DHIS2 NMRs, and three RRHs reported higher (ratio >1).

conclusionNeonatal mortality reporting in Tanzania's DHIS2 remains substantially under-captured, with notable variations across facilities. Although RRHs perform better than tertiary hospitals, overall data quality remains low. Improving reporting in underperforming facilities and leveraging high-performing RRHs can strengthen national neonatal mortality monitoring.

Indexed as

Data AccuracyHealth Information SystemsInfant MortalityTertiary Care CentersFemaleHumansInfantInfant, NewbornTanzania

Identifiers

PMID42490660
PMCPMC13395327

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