Evidence map›Paper›PMID 42676684›Full record

ArticleBulletin of the World Health Organization2026

Measurement of maternal mortality, United Republic of Tanzania.

Ahmad Mohamed Makuwani, Sophia Kagoye, Honorati Masanja, Habib Rutakyamirwa Ismail, Rose Mpembeni, Josephine Shabani, Secilia Kapalata Ng'weshemi, Golden Masika, Leonard Katalambula, Ties Boerma and 1 more

Abstract read
In one paragraph

Article in Bulletin of the World Health Organization, 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

11 authors.

Ahmad Mohamed MakuwaniDepartment of Reproductive, Maternal and Child Health, Ministry of Health, United Republic of Tanzania.
Sophia KagoyeInstitute for Global Public Health, University of Manitoba, Winnipeg, Canada.
Honorati MasanjaIfakara Health Institute, Ifakara, United Republic of Tanzania.
Habib Rutakyamirwa IsmailDepartment of Reproductive, Maternal and Child Health, Ministry of Health, United Republic of Tanzania.
Rose MpembeniSchool of Public Health and Social Science, Muhimbili University of Health and Allied Science, Dar es Salaam, United Republic of Tanzania.
Josephine ShabaniIfakara Health Institute, Ifakara, United Republic of Tanzania.
Secilia Kapalata Ng'weshemiSchool of Medicine and Dentistry, University of Dodoma, Dodoma, United Republic of Tanzania.
Golden MasikaSchool of Medicine and Dentistry, University of Dodoma, Dodoma, United Republic of Tanzania.
Leonard KatalambulaSchool of Nursing and Public Health, University of Dodoma, Dodoma, United Republic of Tanzania.
Ties BoermaInstitute for Global Public Health, University of Manitoba, Winnipeg, Canada.
Claudia HansonDepartment of Global Public Health, Karolinska Institutet, Widerströmska Huset, Tomtebodavägen 18a, 17165 Stockholm - Solna, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maternal mortality, defined as the death of a woman during pregnancy or shortly after childbirth, is a key target of the sustainable development goals. Yet, in many low- and middle-income countries, accurate measurement of maternal mortality remains a major challenge. Reliable death registration systems are often incomplete or absent, making it difficult to calculate the maternal mortality ratio. However, opportunities exist to improve measurement. In about two thirds of low- and middle-income countries, more than 80% of births now occur in health facilities. This shift means that health facilities can serve as a valuable source of data not only for local quality improvement but also for informing population mortality estimates. However, this requires high-quality data. To improve the quality of facility-based data, we propose four simple quality metrics: (i) plausibility of reported national and subnational levels and patterns; (ii) the ratio of reported stillbirths to maternal deaths; (iii) the distribution of causes of death; and (iv) the share of deaths among women aged 35 years and older. Using data from the United Republic of Tanzania as an example, we show how these metrics can be applied to assess the completeness and internal consistency of routine health data systems. Our example aims to encourage quality assessment of facility-based data in other countries, alongside: (i) individual death reporting using standardized classification of causes of death; (ii) centralized data quality assessment based on the proposed metrics; and (iii) regular national on-site assessment of the completeness and accuracy of maternal and perinatal death reporting.

Indexed as

Maternal MortalityAdultAdvanced Maternal AgeCause of DeathFemaleHumansPregnancyStillbirthTanzania

Identifiers

PMID42676684
PMCPMC13527681

What OpenQuestion holds

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Registered trials

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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.