Evidence map›Paper›PMID 36112592›Full record

ArticlePloS one2022

Out-of-pocket expenditure on medicines in Bangladesh: An analysis of the national household income and expenditure survey 2016-17.

Edson Serván-Mori, Md Deen Islam, Warren A Kaplan, Rachel Thrasher, Veronika J Wirtz

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Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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  6. "International journal of environmental research and public health · 2024
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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

5 authors.

Edson Serván-MoriCenter for Health Systems Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico.
Md Deen IslamGlobal Development Policy Center, Boston University, Boston, Massachusetts, United States of America.
Warren A KaplanDepartment of Global Health, Boston University, School of Public Health, Boston, Massachusetts, United States of America.ORCID 0000-0001-6127-4820
Rachel ThrasherGlobal Development Policy Center, Boston University, Boston, Massachusetts, United States of America.ORCID 0000-0001-6649-075X
Veronika J WirtzDepartment of Global Health, Boston University, School of Public Health, Boston, Massachusetts, United States of America.ORCID 0000-0002-0863-8768

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesHigh out-of-pocket expenditures (OOPE) increases the probability that households will become impoverished or will forgo needed care. The aim of this paper is to study household medicines expenditure and its associated determining factors to develop policies to protect households from financial hardship.

methodsThe present cross-sectional and population-level study used the Bangladesh 2016-17 National Household Income and Expenditure Survey (HIES). The final sample size was 46,080 households. We analyzed the probability of OOPE for medicines, the share of total OOPE due to medicines out of total OOPE in health (reported as a ratio between zero and one), the OOPE amount for medicines reported (in United States Dollars), and the share of OOPE amount on medicines out of total household expenditure (reported as a ratio between zero and one). Predictors of analyzed outcomes were identified using three regression models.

resultsOut of those households who spent on healthcare, the probability of having any OOPE on medicines was 87.9%. Of those who spent on medicines, the median monthly expenditure was US$3.03. The poorest households spent 9.97% of their total household expenditure as OOPE on medicines, nearly double that of the wealthiest households (5.86%). The characteristic which showed the most significant correlation to a high OOPE on medicines was the presence of chronic diseases, especially cancer. Twenty six percent of all surveyed households spend more than 10% of their OOPE on medicines.

conclusionsOur study shows that financial protection should be targeted at the poorest quintiles and such protection should include enrollment of rural households. Further, outpatient medicines benefits should include those for non-communicable diseases (NCDs).

Indexed as

Health ExpendituresPovertyBangladeshCross-Sectional StudiesHumansSurveys and Questionnaires

Identifiers

PMID36112592
PMCPMC9480983

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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.