Evidence map›Paper›PMID 41496766›Full record

ArticleBMJ public health2025

Willingness-to-pay for community-based health insurance among formal and informal doctors in Dhaka, Bangladesh: a comparative cross-sectional study.

Md Fuad Al Fidah, Syeda Sumaiya Efa, Md Ziaul Islam

Abstract read
In one paragraph

Article in BMJ public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Review
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.

Md Fuad Al FidahNIPSOM, Dhaka, Dhaka Division, Bangladesh.ORCID https://orcid.org/0000-0002-6695-6342
Syeda Sumaiya EfaNIPSOM, Dhaka, Dhaka Division, Bangladesh.
Md Ziaul IslamNIPSOM, Dhaka, Dhaka Division, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Health insurance enables financial protection and reduces medical burdens. Currently, less than 1% of Bangladeshi citizens have health insurance coverage. We aimed to assess the willingness-to-pay for community-based health insurance and explore associated factors among formal and informal doctors in Bangladesh. Methods: This comparative cross-sectional study was conducted on Bangladeshi doctors with formal and informal employment. For each group, 116 doctors were selected via purposive sampling, as no national register of doctors was available, indicating their current employment status and purposive selection ensured equal inclusion of formal and informal doctors. Separate binomial logistic regression models were fitted for each independent variable, adjusting for age and sex. The mean willingness-to-pay (95% CI) was measured using the double-bounded dichotomous choice approach of the contingent valuation method. Results: The median (IQR) age of the doctors was 34 (31.75-36.0) years, and 53.0% were male. Most (79.7%; 95% CI 74.0% to 84.7%) doctors exhibited willingness-to-pay for community-based health insurance with higher proportion among formal (85.3%) than informal (74.1%) doctors. The overall mean (95% CI) willingness-to-pay was 5.6% (5.1% to 6.2%) of monthly personal income and was higher among informal (5.8%; 5.0% to 6.6%) than formal (5.4%; 4.6% to 6.1%) doctors. Doctors seeking healthcare (adjusted OR (AOR): 0.28; 95% CI 0.08 to 0.99; p value=0.048) and having a middle career (AOR: 0.32; 95% CI 0.11 to 0.90; p value=0.031) were associated with lower odds of being willing-to-pay. Despite having lower mean willingness-to-pay, formal doctors showed higher odds (AOR: 2.02; 95% CI 1.01 to 4.07; p value=0.048) of accepting community-based health insurance. Conclusions: Both formal and informal doctors showed high willingness-to-pay for community-based health insurance. Formal doctors were likely to contribute, while informal doctors expressed higher mean payments. Communication campaigns, tiered premiums and better healthcare quality could enhance participation. These findings offer insights for designing provider-supported community-based health insurance models that foster trust, include low-income groups and support universal health coverage in Bangladesh.

Indexed as

economicsHealth PersonnelPublic Health

Identifiers

PMID41496766
PMCPMC12766766

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.