Evidence map›Paper›PMID 38273778›Full record

ArticleJournal of global health2024

Projections of maternal mortality ratios in Bangladesh.

Etsuko Nishimura, Daisuke Yoneoka, Md Obaidur Rahman, Yuki Yonekura, Yaeko Kataoka, Erika Ota

Abstract read
In one paragraph

Article in Journal of global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Etsuko NishimuraGraduate School of Nursing Science, St. Luke's International University, Tokyo, Japan.
Daisuke YoneokaCenter for Surveillance, Immunization, and Epidemiologic Research, National Institute of Infectious Diseases, Tokyo, Japan.
Md Obaidur RahmanCenter for Surveillance, Immunization, and Epidemiologic Research, National Institute of Infectious Diseases, Tokyo, Japan.
Yuki YonekuraGraduate School of Nursing Science, St. Luke's International University, Tokyo, Japan.
Yaeko KataokaGraduate School of Nursing Science, St. Luke's International University, Tokyo, Japan.
Erika OtaGraduate School of Nursing Science, St. Luke's International University, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The objective of this study was to predict when Bangladesh would achieve Sustainable Development Goal Target 3.1, which is to reduce the maternal mortality ratio (MMR) to less than 70 per 100 000 live births. Methods: We used secondary data from the 1993 to 2017 Bangladesh Demographic and Health Surveys and other sources to project the MMR until 2060 under several scenario assumptions using an autoregressive moving average model with exogenous variables (ARMAX). Explanatory variables were selected based on the three delays model, and a reference forecast and four practical scenarios were simulated: Scenario 1 assumed a 4% annual increase in institutional deliveries, Scenario 2 followed the national goals, the reference forecast and Scenario 3 varied in terms of district-wise increase rates (Scenario 3 had a lower rate of increase), and Scenario 4 assumed minimal changes in institutional deliveries. Results: Scenario 1 was the earliest, with an MMR of <70 per 100 000 live births in 2026. Scenario 2 would meet the target of <70 per 100 000 live births in 2029. The reference forecast had the third lowest MMR, with 69.78 per 100 000 live births (95% prediction intervals (PI) = 32.44 to 107.11) in 2049. Although the MMR for Scenario 3 decreased slowly, it would not reduce below 70 per 100 000 live births by 2060. Scenario 4, which had the highest MMR, also resulted in the MMR not reducing below 70 per 100 000 live births by 2060. Conclusions: To increase the institutional delivery rate and reduce the MMR, as in Scenarios 1 and 2, it is necessary to improve the institutional delivery rate in regions with low institutional delivery rates. Additionally, health facilities need to provide appropriate quality medical care to increase the institutional delivery rate and contribute to a decrease in the MMR, as shown by the results of this study.

Indexed as

Health FacilitiesMaternal MortalityBangladeshFemaleHumansPregnancy

Identifiers

PMID38273778
PMCPMC10811434

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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.