Evidence map›Paper›PMID 38784293›Full record

ArticleJournal of education and health promotion2024

Social and demographic determinants of health insurance status in India: Evidence from a nationally representative cross-sectional survey.

Kiranmayi Vootukuri, K S Venkateswara Kumar, V Suresh Naik

Abstract read
In one paragraph

Article in Journal of education and health promotion, 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
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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.

Kiranmayi VootukuriDepartment of Business Management, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India.
K S Venkateswara KumarDepartment of Business Management, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India.
V Suresh NaikDepartment of Economics, Institute of Insurance and Risk Management (IIRM), Financial District, Gachibowli, Hyderabad, Telangana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOut-of-pocket medical expenses are a crucial metric for assessing how well the healthcare system is working toward obtaining universal health coverage in any country. In India, out-of-pocket expenses for health are relatively high compared to other developed countries due to a lack of alternative finance arrangements. The disparity in out-of-pocket medical expenses largely depends upon the public health expenditure, government policies, and level of health insurance coverage. MATERIALS AND

methodsThe study used a logit regression model to examine the association of the status of health insurance with socio and demographic variables using National Sample Survey 2018 data. The objective of the study is to analyze the impact of demographic variables on the status of health insurance in India.

resultsThis research found that education and occupation have a significant impact on the status of health insurance, among other demographic factors.

conclusionThese findings underscore the importance of targeted policies and interventions aimed at improving access to health insurance among specific demographic groups. Addressing disparities in health insurance coverage based on educational and occupational factors is essential for achieving equitable healthcare access and improved health outcomes in the country. Increasing awareness of health insurance reduces out-of-pocket medical expenses and subsequently brings down economic poverty.

Indexed as

Catastrophic health expendituredemographic factorshealth insuranceout of pocket expenditure

Identifiers

PMID38784293
PMCPMC11114571

What OpenQuestion holds

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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.