Evidence map›Paper›PMID 39448982›Full record

ArticleBMC public health2024

Assessment of socioeconomic and health vulnerability among urban slum dwellers in Bangladesh: a cross-sectional study.

Md Zahid Hasan, Md Golam Rabbani, Mohammad Wahid Ahmed, Gazi Golam Mehdi, Khadija Islam Tisha, Daniel D Reidpath, Syed Manzoor Ahmed Hanifi, Shehrin Shaila Mahmood

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Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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8citing papers in PubMed
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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

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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

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5 · Who and what money

Authors and funding

8 authors.

Md Zahid HasanHealth Economics and Financing, Health Systems and Population Studies Division, icddr, b, 68, Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh. md.zahid@icddrb.org.
Md Golam RabbaniHealth Economics and Financing, Health Systems and Population Studies Division, icddr, b, 68, Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh.
Mohammad Wahid AhmedHealth Economics and Financing, Health Systems and Population Studies Division, icddr, b, 68, Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh.
Gazi Golam MehdiHealth Economics and Financing, Health Systems and Population Studies Division, icddr, b, 68, Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh.
Khadija Islam TishaHealth Economics and Financing, Health Systems and Population Studies Division, icddr, b, 68, Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh.
Daniel D ReidpathInstitute for Global Health and Development Division, Queen Margaret University, Edinburgh, UK.
Syed Manzoor Ahmed HanifiHealth Economics and Financing, Health Systems and Population Studies Division, icddr, b, 68, Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh.
Shehrin Shaila MahmoodHealth Economics and Financing, Health Systems and Population Studies Division, icddr, b, 68, Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBangladesh is rapidly urbanizing and approximately half of its urban population resides in deprived slums with limited access to basic needs. However, there is a dearth of information on vulnerability levels among slum dwellers. We aimed to assess the level of vulnerability within and between slums via various socioeconomic and health indicators.

methodsA cross-sectional survey of 810 randomly selected households was conducted in two purposively selected slums, Korail and Shyampur, in Dhaka from November to December 2021. Data was collected on various indicators, including demographics, education, employment, access to utility, and healthcare services. Principal component factor analysis was employed to identify the key indicators to construct the socioeconomic and health vulnerability index for the urban slums of Bangladesh (SEHVI-BD). Kaiser-Meyer-Olkin, Bartlett's test, and Cronbach's alpha coefficient test were used to assess indicators' suitability. The selected indicators were used to generate an index on a scale of 100, with a higher index value indicating a higher level of vulnerability. The estimated scores were used to categorize the vulnerability status into three levels: mild, moderate, and severe vulnerability. The Mann-Whitney-U test and Kruskal-Wallis test were applied between the generated index and other socioeconomic variables to validate the relationship.

resultsA total of 27 socioeconomic and health indicators were identified that explained 60% of the variance. The indicators were then grouped into six domains on the basis of their relevance. The prevalence of severe vulnerability in the Korail slum was approximately 9% and moderate vulnerability was 30% whereas these values were approximately 58% and 37%, respectively, in the Shyampur slum. The difference in the vulnerability level between the two slums was also evident across the domains. Households in the poorest wealth quintile, with lower education levels of household heads, and having irregular income experienced higher levels of vulnerability.

conclusionsThe SEHVI-BD offers a critical tool for policymakers to identify and address vulnerabilities, facilitating more targeted public health interventions in urban Bangladesh and similar low-income settings. This study further emphasizes the importance of integrating comprehensive vulnerability assessments into public health policies to reduce inequalities and improve well-being, especially for the urban marginalized slum population.

Indexed as

Poverty AreasSocioeconomic FactorsUrban PopulationVulnerable PopulationsAdolescentAdultBangladeshCross-Sectional StudiesFemaleHealth Status IndicatorsHumansMaleMiddle AgedYoung AdultBangladeshSDGsSocioeconomic and health indicatorsUrban slumsVulnerability

Identifiers

PMID39448982
PMCPMC11515451

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LicenceCC BY-NC-ND
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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.