Evidence map›Paper›PMID 37384257›Full record

ArticleRisk management and healthcare policy2023

Contemporary Universal Health Coverage in India - The Case of Federal State of Odisha (Orissa).

Pragyan Monalisa Sahoo, Himanshu Sekhar Rout, Mihajlo Jakovljevic

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. 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

3 authors.

Pragyan Monalisa SahooDepartment of Analytical & Applied Economics, Utkal University, Bhubaneswar, Odisha, India.ORCID 0000-0002-1799-0683
Himanshu Sekhar RoutDepartment of Analytical and Applied Economics & RUSA Centre of Excellence in Public Policy and Governance, Utkal University, Vani Vihar, Bhubaneswar-751 004, Odisha, India.ORCID 0000-0001-8445-340X
Mihajlo JakovljevicInstitute of Advanced Manufacturing Technologies, Peter the Great St. Petersburg Polytechnic University, St Petersburg, Russia.ORCID 0000-0002-9160-6846

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The present study assessed the awareness of the public about Biju Swasthya Kalyan Yojana (BSKY), which is a flagship public-funded health insurance scheme of the Government of Odisha. The study also identified its determinants and examined utilisation of the scheme among households in Khordha district of Odisha. Materials and Methods: Primary data were collected from randomly chosen 150 households using a pretested structured questionnaire from Balipatana block of Khordha district, Odisha. Descriptive statistics and binomial logistic regression were used to substantiate the objectives. Results: The study found that even though 56.70% of the sample households had heard about BSKY, procedure-specific awareness was low. State government organised BSKY health insurance camp was found to be a major source of knowledge among the sample. The regression model had an R Conclusion: The study found that even though majority of people had heard about BSKY, they were not aware of its nature, features, and operational procedures. The trend of low benefit received and higher OOPE among the scheme beneficiaries hampers the economic health of the poor. Finally, the study highlighted the need to increase the magnitude of scheme coverage and administrative efficiency.

Indexed as

awarenessBSKYemerging marketshealth insuranceIndiaout-of-pocket payments

Identifiers

PMID37384257
PMCPMC10293795

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.