Evidence map›Paper›PMID 40726699›Full record

ArticleJournal of family medicine and primary care2025

Health insurance coverage and its associated factors amongst households of an urban village in Delhi.

Suraj P Singh, Anita Khokhar

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Suraj P SinghDepartment of Community Medicine, Atal Bihari Vajpayee Institute of Medical Sciences and Dr. Ram Manohar Lohia (ABVIMS and Dr RML) Hospital, New Delhi, India.
Anita KhokharDepartment of Community Medicine, Vardhman Mahavir Medical College and Safdarjung (VMMC and Safdarjung) Hospital, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: Urban poor households mostly comprising of migrants from small towns and villages are prone to residing in overcrowded, unplanned settlements, bearing a higher risk of healthcare ailments and expenditure. There is a need to assess health insurance amongst them to better understand insurance coverage, as well as their experience and attitude towards it. Aims: To find out the prevalence of health insurance and its associated factors amongst households of an urban village in Delhi. Settings and Design: A cross-sectional study amongst households that have been residing for the last year in an urban village of Delhi. Methods and Material: This 18-month duration study was carried out in an urban village of Delhi, where a sample size of 188 was calculated based on a study conducted in Dakshina Kannada, and households were selected using systematic random sampling. A pre-designed, pre-tested, semi-structured, and interviewer-administered questionnaire was used in Hindi to elicit and record relevant information. Statistical analysis used: Data was recorded and coded in MS Excel, and analysis was done using licensed IBM SPSS v. 26. Tables were generated for relevant data, and cross-tables were used to assess statistical association with Chi-square or Fisher's Exact tests, as required. Multivariate logistic regression was applied to the variables found to have a statistically significant association in cross-tables ( Results: Almost sixty percent of study households had no health insurance coverage, while 39.4% of households had some degree of health insurance, and only 53 (28.2%) had complete health insurance coverage of all household members. Conclusions: Only 28.2% of households in the urban village of Aliganj, Delhi, are covered under health insurance.

Indexed as

Health insuranceinsurance coveragemigrantsurban poorurban village

Identifiers

PMID40726699
PMCPMC12296281

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.