Evidence map›Paper›PMID 38187230›Full record

ArticleHeliyon2024

Magnitude of health expenditure induced removable poverty in India: Some reflections of Ayushman Bharat.

Ramna Thakur, Mohammad Ahmad Faizan

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

2 authors.

Ramna ThakurSchool of Humanities and Social Sciences, Indian Institute of Technology Mandi, 175005, India.
Mohammad Ahmad FaizanSchool of Humanities and Social Sciences, Indian Institute of Technology Mandi, 175005, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The authors have measured the health expenditure-induced removable poverty in India using nationally representative consumer expenditure surveys of three quinquennial rounds conducted by the National Sample Survey Organization (NSSO). This study has also focused on the reflections of Ayushman Bharat-Pradhan Mantri Jan Arogya Yojana (AB-PMJAY), the world's largest Government-funded health insurance scheme, on these poverty rates in the country. The study has used headcount, payment gap, and concentration index to measure the economic burden and impoverishment impact of out-of-pocket (OOP) health expenditure. The analysis shows that the incidence and depth of poverty are substantially understated because of overlooking OOP health expenditure in the country's standard poverty measure. Outpatient care contributes almost four times more than inpatient care to health expenditure-induced impoverishment in India, though this care has not been covered in the AB-PMJAY. Muslims, among all religious groups, Scheduled Castes among social groups, and casual labourers among different household types are more vulnerable to OOP health expenditure-induced removable poverty in the country. Poverty, in general, has dropped significantly, but the share of health expenditure-induced poverty in general poverty has increased substantially. It has risen considerably in rural areas and among India's most vulnerable sections of society in the past 20 years. We emphasised that universal health insurance coverage is needed in India. Implementing comprehensive health insurance schemes that cover both inpatient and outpatient care can help alleviate the financial burden of healthcare expenses on households and contribute to reducing poverty rates.

Indexed as

ExpenditureHealthHealthcareHouseholdPovertyRemovable

Identifiers

PMID38187230
PMCPMC10767384

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.