Evidence map›Paper›PMID 32379774›Full record

ArticlePloS one2020

No one data source captures all: A nested case-control study of the completeness of maternal death reporting in Banten Province, Indonesia.

Siti Nurul Qomariyah, Reena Sethi, Yulia Nur Izati, Tika Rianty, Kamaluddin Latief, Ali Zazri, Besral, Massee Bateman, Eskaning Arum Pawestri, Saifuddin Ahmed and 1 more

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Siti Nurul QomariyahJhpiego Indonesia, Jakarta, Indonesia.ORCID 0000-0002-3476-0759
Reena SethiJhpiego, Baltimore, Maryland, United States of America.
Yulia Nur IzatiCenter for Family Welfare, Faculty of Public Health, University of Indonesia, Depok, Indonesia.
Tika RiantyCenter for Family Welfare, Faculty of Public Health, University of Indonesia, Depok, Indonesia.
Kamaluddin LatiefCenter for Family Welfare, Faculty of Public Health, University of Indonesia, Depok, Indonesia.
Ali ZazriJhpiego Indonesia, Jakarta, Indonesia.
BesralCenter for Family Welfare, Faculty of Public Health, University of Indonesia, Depok, Indonesia.
Massee BatemanUSAID Indonesia, Jakarta, Indonesia.
Eskaning Arum PawestriCenter for Family Welfare, Faculty of Public Health, University of Indonesia, Depok, Indonesia.
Saifuddin AhmedJohns Hopkins University, Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Endang L AchadiCenter for Family Welfare, Faculty of Public Health, University of Indonesia, Depok, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndonesia's national health information systems collect data on maternal deaths but the completeness of reporting is questionable, making it difficult to design appropriate interventions. This study examines the completeness of maternal death reporting by the district health office (DHO) system in Banten Province.

methodWe used a nested-control study design to compare data on maternal deaths in 2016 from the DHO reporting system and the MADE-IN/MADE-FOR method in two districts and one municipality in Banten Province, with the aim of identifying and characterizing missed deaths in the DHO reporting system. The capture-recapture method was used to assess the magnitude of underreporting of maternal deaths by both systems.

resultsA total of 169 maternal deaths were reported in the MADE-IN/MADE-FOR study for calendar year 2016 in the three study areas. The DHO system reported 105 maternal deaths for the same period, of which 90 cases were found in both data sources. Capture-recapture analyses suggest that the MADE-IN/MADE-FOR approach identified 92% (95% CI: 87%-95%) of all maternal deaths, while the DHO system captured 57% (95% CI: 50%-64%) of all maternal deaths. Deaths of women who resided in urban areas had four times higher odds (OR 4.3, 95% CI: 1.52-12.3) of being missed by the DHO system compared to deaths among women who lived in rural or remote areas after adjusting for other covariates.

conclusionThe DHO reporting system missed approximately half of the maternal deaths in the 3 study areas, suggesting that the DHO system is likely to grossly underestimate the maternal mortality ratio. The DHO reporting system needs to be improved to capture and characterize all maternal deaths.

Indexed as

Maternal MortalityAdultCase-Control StudiesDatabases, FactualFemaleHumansIndonesiaPregnancyYoung Adult

Identifiers

PMID32379774
PMCPMC7205286

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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.