Evidence map›Paper›PMID 39361628›Full record

ArticlePloS one2024

Enrollment and associated factors of the national health insurance program of Nepal: Further analysis of the Nepal Demographic and Health Survey 2022.

Devaraj Acharya, Sushil Sharma, Kristin Bietsch

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Devaraj AcharyaResearch Centre for Educational Innovation and Development [CERID], Tribhuvan University, Kathmandu, Nepal.ORCID 0000-0003-0847-4836
Sushil SharmaPrithvi Narayan Campus, Tribhuvan University, Pokhara, Nepal.ORCID 0000-0002-7983-2816
Kristin BietschAvenir Health, Glastonbury, CT, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The focus of this study was on the current enrollment status of the government-funded health insurance (HI) program in Nepal, which is necessary to achieve universal health coverage by 2030. Despite the government's commitment, the program faces challenges of low enrollment and high dropout rates, hindering progress towards this goal. With a purpose to find out the associated factors for enrollment in HI, the cross-sectional study employs secondary data obtained from the Nepal Demographic and Health Survey 2022. A multi-stage sampling method yielded a representative sample of 14,280 households, and an interview was conducted with 14,845 females and 4,913 males aged 15-49. A weighted sample was employed and subsequently analyzed through the use of R. The analysis reveals a concerningly low enrollment rate, with only 10% of the surveyed population possessing government HI. Furthermore, significant geographical disparities were found to exist-Koshi Province had the highest coverage (21.8% men and 20.4% women), while Madhesh Province lagging far behind (3.1% men and 2.7% women). Additionally, the enrollment rates correlated positively with urban residence, higher socioeconomic statuses, and employment, with no subgroup surpassing 30% coverage, though. The study demonstrates a positive association between HI and healthcare utilization, with insured individuals exhibiting a higher likelihood of visiting health facilities and reporting fewer access-related issues. Respondents with higher levels of education and greater wealth were significantly more likely to enroll in HI than those with basic education and middle-level wealth, respectively. This pattern holds consistently for both males and females. These findings suggest that the program, aiming for 60% coverage by 2023/24, is currently off-track. Policymakers should interpret these data as a call for action, prompting the development and implementation of the targeted interventions to address enrollment disparities across Nepal. By focusing on the low-coverage areas and the vulnerable populations, the program can be strengthened and contribute meaningfully to achieving universal health coverage by 2030.

Indexed as

National Health ProgramsAdolescentAdultCross-Sectional StudiesFemaleHealth SurveysHumansMaleMiddle AgedNepalSocioeconomic FactorsUniversal Health InsuranceYoung Adult

Identifiers

PMID39361628
PMCPMC11449327

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.