Evidence map›Paper›PMID 32707443›Full record

ArticleSocial science & medicine (1982)2020

Gender bias in hospitalization financing from borrowings, selling of assets, contribution from relatives or friends in India.

Kaushalendra Kumar, Abhishek Singh, K S James, Lotus McDougal, Anita Raj

Open access · hybridAbstract read
In one paragraph

Article in Social science & medicine (1982), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.3field-weighted citation impact, top 7% of its field
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

13 citing papers in PubMed, 30 citations in OpenAlex.

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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 at 3 institutions in 2 countries.

Kaushalendra KumarInternational Institute for Population Sciences, Mumbai, India. Electronic address: kaushalendra.1983@gmail.com.
Abhishek SinghInternational Institute for Population Sciences, Mumbai, India.
K S JamesInternational Institute for Population Sciences, Mumbai, India.
Lotus McDougalCenter on Gender Equity and Health, Department of Medicine, University of California San Diego, San Diego, CA, USA.
Anita RajCenter on Gender Equity and Health, Department of Medicine, University of California San Diego, San Diego, CA, USA; Department of Education Studies, Division of Social Sciences, University of California San Diego, San Diego, CA, USA.
International Institute for Population Sciences · INUniversity of California San Diego · USUniversity of San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies from India have documented gender differentials in hospitalization financing. Much of this work focused either on children or adults, but not across age-groups. No research to date has focused on gender differentials in case of catastrophic hospitalization expenditures. This study assesses gender differentials in distressed financing (borrowing, selling of assets, contributions from relatives or friends) for hospitalization in cases of catastrophic expenditures for hospitalization in India, for young, adult and older adult patients.

methodsWe conducted a cross-sectional analysis of India's 2017-18 National Sample Survey, which collected data on hospitalization and expenditures. We used multivariable probit regression and adjusted marginal effects to assess the associations between gender and the use of distressed financing for catastrophic hospitalization expenditures. Models were stratified by age, and run both with and without sample selection. Secondary analyses assessed gender differentials in the use of distressed financing for hospitalization in case of health insurance cover or not.

resultsMultivariable sample selection-adjusted probit regression shows that in households which incurred severe catastrophic hospitalization expenditures, the probability of using distressed financing for hospitalization of young or older females was 10% points lower than their male counterparts. In households which did not incur severe catastrophic hospitalization expenditures, there was no significant gender differential in use of distressed financing for hospitalization for any age group. In households which incurred severe catastrophic hospitalization expenditures, the probability of using distressed financing for hospitalization was lower for older females than for older males irrespective of health insurance cover.

conclusionThere appears to be a clear gender discrimination in distressed financing of hospitalization costs among younger and older individuals in households that incurred severe catastrophic hospitalization expenditures in India. Health systems should consider how to otherwise support necessary hospitalization financing for girls and older women.

Indexed as

FriendsSexismAgedCatastrophic IllnessChildCross-Sectional StudiesFemaleFinancing, PersonalHealth ExpendituresHospitalizationHumansIndiaMaleCatastrophic hospitalization expenditureDistressed hospitalization financingGender inequitiesHospitalizationIndia

Identifiers

PMID32707443
PMCPMC7441313
OpenAlexW3042658792

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LicenceCC BY
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Registered trials

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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.