Evidence map›Paper›PMID 41649954›Full record

ArticleHealth policy and planning2026

One size does not fit all: income-sensitive thresholds for catastrophic health expenditure.

Jay Dev Dubey, Dushyant Kumar, Bheemeshwar Reddy A

Abstract read
In one paragraph

Article in Health policy and planning, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jay Dev DubeyDepartment of Economics & Finance, Birla Institute of Technology & Science, Pilani Hyderabad Campus Jawahar Nagar, Kapra Mandal Dist., Medchal, Telangana 500 078, India.ORCID 0000-0003-1359-4787
Dushyant KumarDepartment of Economics & Finance, Birla Institute of Technology & Science, Pilani Hyderabad Campus Jawahar Nagar, Kapra Mandal Dist., Medchal, Telangana 500 078, India.ORCID 0009-0001-5651-9616
Bheemeshwar Reddy ADepartment of Economics & Finance, Birla Institute of Technology & Science, Pilani Hyderabad Campus Jawahar Nagar, Kapra Mandal Dist., Medchal, Telangana 500 078, India.ORCID 0000-0002-2736-8193

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study develops an inverse rank-weighted index (IRWI) to adjust catastrophic thresholds for out-of-pocket expenditure (OOPE) components. The proposed method eliminates the arbitrariness of the existing proportionate approach by ensuring fairness in determining component-specific catastrophic thresholds. It measures the effective expenditure share of each OOPE component while considering the concentration of component-specific spending across household income levels. Using nationally representative household survey data on healthcare consumption from 2017-8, the study estimates catastrophic health expenditure (CHE) at both aggregate and component levels in India under uniform, proportionate, and IRWI thresholds. The findings reveal that the uniform threshold significantly underestimates CHE incidence, whereas component-specific thresholds identify twice as many households that experience CHE. Shifting from the proportionate method thresholds to IRWI thresholds significantly alters CHE estimates. The IRWI approach offers a more reliable framework for integrating component-specific and aggregate CHE assessments. It underscores the need for income-sensitive, component-specific thresholds to accurately quantify financial hardship and prevent underestimating healthcare-related economic burden.

Indexed as

Catastrophic IllnessFinancing, PersonalHealth ExpendituresIncomeHumansIndiacatastrophic health expenditurecomponent-specific catastrophic thresholdconcentration indexout-of-pocket expenditurerank-weighted index

Identifiers

PMID41649954
PMCPMC13089428

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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.