Evidence map›Paper›PMID 36717824›Full record

ArticleBMC public health2023

Illnesses and hardship financing in India: an evaluation of inpatient and outpatient cases, 2014-18.

Arya Rachel Thomas, Umakant Dash, Santosh Kumar Sahu

Abstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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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

3 authors.

Arya Rachel ThomasDepartment of Humanities and Social Sciences, Indian Institute of Technology Madras, Chennai, India. thomas.arya@gmail.com.ORCID 0000-0002-8197-8216
Umakant DashInstitute of Rural Management Anand (IRMA), Anand, India.ORCID 0000-0001-5348-9530
Santosh Kumar SahuDepartment of Humanities and Social Sciences, Indian Institute of Technology Madras, Chennai, India.ORCID 0000-0003-3480-6507

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProgress towards universal health coverage requires strengthening the country's health system. In developing countries, the increasing disease burden puts a lot of stress on scarce household finances. However, this burden is not the same for everyone. The economic burden varies across the disease groups and care levels. Government intervention is vital in formulating policies in addressing financial distress at the household level. In India, even when outpatient care forms a significant proportion of out-of-pocket expenditure, government schemes focus on reducing household expenditure on inpatient care alone. Thus, people resort to hardship financing practices like informal borrowing or selling of assets in the event of health shocks. In this context, the present study aims to identify the disease(s) that correlates with maximum hardship financing for outpatients and inpatients and to understand the change in hardship financing over time.

methodsWe used two waves of National Sample Survey Organisation's data on social consumption on health- the 71

resultsThe results suggest that cancer had the maximum likelihood of causing hardship financing in India for both inpatients (Odds ratio 2.41; 95% Confidence Interval (CI): 2.03 - 2.86 (71

conclusionGovernment intervention is quintessential to decrease the hardship financing caused by cancer. The intra-household inequalities play an important role in explaining their hardship financing strategies. We suggest the need for more financial risk protection for outpatient care to address hardship financing.

Indexed as

InpatientsOutpatientsDelivery of Health CareFemaleFinancing, PersonalHealth ExpendituresHumansIndiaMaleGovernment interventionHardship financingInpatient careOutpatient care

Identifiers

PMID36717824
PMCPMC9887799

What Socratic holds

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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 Socratic graph.