Evidence map›Paper›PMID 38532118›Full record

ArticleScientific reports2024

Examining the factors contributing to a reduction in hardship financing among inpatient households in India.

Arya Rachel Thomas, T Muhammad, Santosh Kumar Sahu, Umakant Dash

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Arya Rachel ThomasDepartment of Humanities and Social Sciences, Indian Institute of Technology (IIT), Madras, Chennai, Tamil Nadu, 600036, India. thomas.arya@gmail.com.ORCID 0000-0002-8197-8216
T MuhammadDepartment of Family and Generations, International Institute for Population Sciences, Mumbai, Maharashtra, 400088, India.ORCID 0000-0003-1486-7038
Santosh Kumar SahuDepartment of Humanities and Social Sciences, Indian Institute of Technology (IIT), Madras, Chennai, Tamil Nadu, 600036, India.ORCID 0000-0003-3480-6507
Umakant DashInstitute of Rural Management Anand (IRMA), Near NDDB, PO Box-60, Anand, Gujarat, 388001, India.ORCID 0000-0001-5348-9530

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In India, the rising double burden of diseases and the low fiscal capacity of the government forces people to resort to hardship financing. This study aimed to examine the factors contributing to the reduction in hardship financing among inpatient households in India. The study relies on two rounds of National Sample Surveys with a sample of 34,478 households from the 71st round (2014) and 56,681 households from the 75th round (2018). We employed multivariable logistic regression and multivariate decomposition analyses to explore the factors associated with hardship financing in Indian households with hospitalized member(s) and assess the contributing factors to the reduction in hardship financing between 2014 and 2018. Notably, though hardship financing for inpatient households has decreased between 2014 and 2018, households with catastrophic health expenditure (CHE) had higher odds of hardship financing than those without CHE. While factors such as CHE, prolonged hospitalization, and private hospitals had impoverishing effects on hardship financing in 2014 and 2018, the decomposition model showed the potential of CHE (32%), length of hospitalization (32%), and private hospitals (24%) to slow down this negative impact over time. The findings showed the potential for further improvements in financial health protection for inpatient care over time, and underscore the need for continuing efforts to strengthen the implementation of public programs and schemes in India such as Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (PMJAY).

Indexed as

Family CharacteristicsInpatientsHealth ExpendituresHospitalizationHumansIndia

Identifiers

PMID38532118
PMCPMC10965936

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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.