Evidence map›Paper›PMID 40697185›Full record

ArticlePublic health in practice (Oxford, England)2025

Exploring the effects catastrophic health expenditure due to non-communicable diseases and coping strategies: A case study among households in Bangladesh.

N M Rabiul Awal Chowdhury, Salma Akter Urme, Asaduzzaman Hridoy, Fahima Nusrat, Md Shahgahan Miah

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Article in Public health in practice (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 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

5 authors.

N M Rabiul Awal ChowdhuryDepartment of Anthropology, Comilla University, Comilla, Bangladesh.
Salma Akter UrmeDepartment of Anthropology, Comilla University, Comilla, Bangladesh.
Asaduzzaman HridoyDepartment of Anthropology, Comilla University, Comilla, Bangladesh.
Fahima NusratDepartment of Anthropology, Comilla University, Comilla, Bangladesh.
Md Shahgahan MiahDepartment of Anthropology, Shahjalal University of Science and Technology, Sylhet, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Non-communicable diseases (NCDs), due to their chronic nature, lead to long-term and significant health burdens that result in catastrophic expenses for individuals and communities. This study explores the socioeconomic effects of catastrophic health costs on households with family members experiencing NCDs and their coping mechanisms in rural areas of Bangladesh. Study design: Qualitative study. Methods: Case studies were conducted with ten NCD patients who had experienced catastrophic events and their close contacts. Purposive sampling strategies were used to recruit participants from two sub-districts in areas with a high prevalence of NCDs. In-depth interviews and observations were conducted, and documents (e.g. hospital and diagnosis bills, medicine purchase receipts) were reviewed. Data were analysed using thematic analysis. Results: Data revealed that the treatment costs of NCDs are multifaceted and long-term. This catastrophic health expenditure has many economic effects, such as compromising food, housing, living standards and quality of life. It also has non-economic effects, including social stigmatisation, adjusting wishes and dreams, hampering children's education, disrupting family relationships and undermining social dignity. Households' adaptive strategies include loaning and borrowing, selling assets, using savings, seeking assistance from friends and relatives, reconciling living standards and even adopting alternative medicines. Conclusions: Thisstudy highlights the socioeconomic impact of catastrophic health costs associated with NCDs and how households adapt and cope with these expenses. The results increase understanding of the impact of NCDs and the importance of managing the economic burden. Results highlight the necessity for a strategic plan to aid families affected by chronic NCDs.

Indexed as

BangladeshCatastrophic health expenditureNon-communicable diseases

Identifiers

PMID40697185
PMCPMC12281525

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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.