Evidence map›Paper›PMID 33743735›Full record

ArticleInternational journal for equity in health2021

Addressing data and methodological limitations in estimating catastrophic health spending and impoverishment in India, 2004-18.

Sanjay K Mohanty, Laxmi Kant Dwivedi

Open access · goldAbstract read
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Article in International journal for equity in health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
13.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

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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

20 citing papers in PubMed, 64 citations in OpenAlex.

  1. Trial
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  4. District-level monitoring of universal health coverage, India.Bulletin of the World Health Organization · 2024
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  12. Cancer care and economic burden-A narrative review.Journal of family medicine and primary care · 2023
    Review
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Sanjay K MohantyDepartment of Fertility Studies, International Institute for Population Sciences, Mumbai, India. sanjayiips@yahoo.co.in.ORCID 0000-0001-9041-5952
Laxmi Kant DwivediDepartment of Mathematical Demography and Statistics, International Institute for Population Sciences, Mumbai, India.
International Institute for Population Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEstimates of catastrophic health expenditure (CHE) are counterintuitive to researchers, policy makers, and developmental partners due to data and methodological limitation. While inferences drawn from use of capacity-to-pay (CTP) and budget share (BS) approaches are inconsistent, the non-availability of data on food expenditure in the health survey in India is an added limitation.

methodsUsing data from the health and consumption surveys of National Sample Surveys over 14 years, we have overcome these limitations and estimated the incidence and intensity of CHE and impoverishment using the CTP approach.

resultsThe incidence of CHE for health services in India was 12.5% in 2004, 13.4% in 2014 and 9.1% by 2018. Among those households incurring CHE, they spent 1.25 times of their capacity to pay in 2004 (intensity of CHE), 1.71 times in 2014 and 1.31 times by 2018. The impoverishment due to health spending was 4.8% in 2004, 5.1% in 2014 and 3.3% in 2018. The state variations in incidence and intensity of CHE and incidence of impoverishment is large. The concentration index (CI) of CHE was - 0.16 in 2004, - 0.18 in 2014 and - 0.22 in 2018 suggesting increasing inequality over time. The concentration curves based on CTP approach suggests that the CHE was concentrated among poor. The odds of incurring CHE were lowest among the richest households [OR 0.22; 95% CI: 0.21, 0.24], households with elderly members [OR 1.20; 95% CI:1.12, 1.18] and households using both inpatient and outpatient services [OR 2.80, 95% CI 2.66, 2.95]. Access to health insurance reduced the chance of CHE and impoverishment among the richest households. The pattern of impoverishment was similar to that of CHE.

conclusionIn the last 14 years, the CHE and impoverishment in India has declined while inequality in CHE has increased.

Indexed as

Health ExpendituresPovertyAdultAgedCatastrophic IllnessFamily CharacteristicsFemaleFinancing, PersonalHealthcare DisparitiesHealth ServicesHumansIndiaInsurance, HealthMaleMiddle AgedResidence CharacteristicsCapacity-to-payCatastrophic health spendingImpoverishmentIndia

Identifiers

PMID33743735
PMCPMC7981828
OpenAlexW3111880970

What OpenQuestion holds

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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.