Evidence map›Paper›PMID 42022761›Full record

ArticlePublic health challenges2026

Need-Based Mental Health Aid Allocation to Disadvantaged Patients Toward Universal Health Coverage in Bangladesh.

Saiful Islam Saif, Sultana Nasrin, Sayedul Ashraf Kushal, Yahia Md Amin, Woarisha Alam, Md Tajul Islam

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In one paragraph

Article in Public health challenges, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Saiful Islam SaifDepartment of Research & Development LifeSpring Well-Being Foundation Dhaka Bangladesh.ORCID https://orcid.org/0009-0008-4564-6602
Sultana NasrinDepartment of Statistics Lund University Lund Sweden.ORCID https://orcid.org/0000-0001-7390-0542
Sayedul Ashraf KushalDepartment of Research & Development LifeSpring Well-Being Foundation Dhaka Bangladesh.ORCID https://orcid.org/0000-0001-6155-6991
Yahia Md AminDepartment of Research & Development LifeSpring Well-Being Foundation Dhaka Bangladesh.ORCID https://orcid.org/0009-0007-6936-6069
Woarisha AlamDepartment of Finance & Admin Spanish Embassy of Bangladesh Dhaka Bangladesh.
Md Tajul IslamDepartment of Public Health North South University Dhaka Bangladesh.ORCID https://orcid.org/0000-0002-8895-8349

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Out-of-pocket (OOP) healthcare costs remain prohibitive in low-resource settings, often pushing families into poverty. Universal health coverage (UHC) goals emphasise protecting households from financial hardship due to medical expenses. Objectives: This study examines which socioeconomic and demographic factors predict the amount of free mental healthcare support received by applicants. Methodology: We conducted a cross-sectional analysis. Descriptive statistics summarised 286 applicant profiles (e.g., 66.8% female and 49% aged 28-48). Spearman and Pearson correlations assessed the relationship between applicants' monthly treatment-related OOP costs and aid received (log-transformed values). A multiple linear regression was then fitted with log (free care amount) as the outcome and predictors including age group, sex, occupation, marital status, income source, reason for support and log (monthly treatment-related OOP cost). Results: The applicant profile was predominantly young, unmarried, female students relying on parental support, seeking aid mainly for financial hardship. Spearman's Conclusion: This study highlights that free mental healthcare support in a resource-poor setting is driven primarily by treatment cost and applicants' perceived need. Those with higher medical expenses receive more aid, aligning with the principle of need-based assistance.

Indexed as

need‐based mental‐health aidout‐of‐pocket costssocioeconomic equityuniversal health coverage

Identifiers

PMID42022761
PMCPMC13097623

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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.