Evidence map›Paper›PMID 30726250›Full record

ArticlePloS one2019

Regional disparities in maternal and child health indicators: Cluster analysis of districts in Bangladesh.

Enayetur Raheem, Jahidur Rahman Khan, Mohammad Sorowar Hossain

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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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

3 authors.

Enayetur RaheemBiomedical Research Foundation, Dhaka, Bangladesh.ORCID 0000-0001-8880-3649
Jahidur Rahman KhanBiomedical Research Foundation, Dhaka, Bangladesh.
Mohammad Sorowar HossainBiomedical Research Foundation, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efforts to mitigate public health concerns are showing encouraging results over the time but disparities across the geographic regions still exist within countries. Inadequate researches on the regional disparities of health indicators based on representative and comparable data create challenges to develop evidence-based health policies, planning and future studies in developing countries like Bangladesh. This study examined the disparities among districts on various maternal and child health indicators in Bangladesh. Cluster analysis-an unsupervised learning technique was used based on nationally representative dataset originated from Multiple Indicator Cluster Survey (MICS), 2012-13. According to our results, Bangladesh is classified into two clusters based on different health indicators with substantial variations in districts per clusters for different sets of indicators suggesting regional variation across the indicators. There is a need to differentially focus on community-level interventions aimed at increasing maternal and child health care utilization and improving the socioeconomic position of mothers, especially in disadvantaged regions. The cluster analysis approach is unique in terms of the use of health care metrics in a multivariate setup to study regional similarity and dissimilarity in the context of Bangladesh.

Indexed as

Health Status DisparitiesHealth Status IndicatorsSocioeconomic FactorsAdolescentAdultBangladeshChildChild HealthChild Health ServicesChild, PreschoolCluster AnalysisDatasets as TopicDeveloping CountriesFemaleHealth PolicyHealth Services Needs and Demand

Identifiers

PMID30726250
PMCPMC6364878

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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.