Evidence map›Paper›PMID 36482338›Full record

ArticleBMC geriatrics2022

Examining the predictors of healthcare facility choice for outpatient care among older adults in India using Andersen's revised healthcare utilization framework model.

Margubur Rahaman, Pradip Chouhan, Avijit Roy, Md Juel Rana, Kailash Chandra Das

Abstract read
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

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0cells of the map it votes in
12citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

12 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

5 authors.

Margubur RahamanSenior Research Fellow, Department of Migration & Urban Studies, International Institute for Population Sciences (IIPS), Mumbai, 400088, India. margubur48@gmail.com.ORCID 0000-0003-2403-9033
Pradip ChouhanProfessor, Department of Geography, University of Gour Banga, Malda, 732103, India.ORCID 0000-0002-5500-2842
Avijit RoyState Aided College Teacher, Department of Geography, Malda College, Malda, 732101, India. avijitr407@gmail.com.ORCID 0000-0002-2707-8639
Md Juel RanaAssistant Professor, Govind Ballabh Pant Social Science Institute (GBPSSI), Allahabad, 211019, India.ORCID 0000-0001-8830-492X
Kailash Chandra DasProfessor, Department of Migration & Urban Studies, International Institute for Population Sciences (IIPS), Mumbai, 400088, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn India, the demand for outpatient care is substantially higher than inpatient care among older adults. Therefore, the current study examines the level, patterns, and factors associated with outpatient care use.

methodsThe present research used data from the first wave of the Longitudinal Ageing Study in India (LASI, 2017-18). A total of 34,588 older adults (45 years and above) who accessed outpatient healthcare services in one year prior to the survey were included in this study. A bivariate chi-square test was applied to present the percentage distribution of types of outpatient healthcare utilization by background characteristics and healthcare responsiveness. Multinomial logistic regression analyses were employed to explore the interplay of outpatient healthcare utilization and allied predisposing, enabling, and need factors.

resultsAbout 63.7% of total older adults used a private facility, followed by 22.8% used a public facility, and 13.5% used other facilities. Years of schooling, household wealth status, place of residence, self-rated health, and health insurance were all found to be significant determinants of public or private facility use. In contrast, respondents' sex was found to be a significant determinant of private healthcare use only. The study finds that there was inadequate healthcare reaction to public health facilities.

conclusionThe current study revealed that the use of private facility for outpatient care is noticeably high in India. Older adults' educational attainments, health insurance coverage, and household level economic background were found to be significant factors in healthcare choice. The current study emphasizes the need to strengthen public healthcare services for outpatient care.

Indexed as

Ambulatory CareHealth FacilitiesAgedDelivery of Health CareHumansIndiaPatient Acceptance of Health CareHealthcare responsivenessIndiaOlder adultsOutpatient careSpatial patterns

Identifiers

PMID36482338
PMCPMC9733055

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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.