Evidence map›Paper›PMID 39610056›Full record

ArticleInquiry : a journal of medical care organization, provision and financing

The Mediating Role of Social Support on Unmet Healthcare Needs in Vietnamese Older People During the COVID-19.

Long Thanh Giang, Thu Dai Bui, Dung Duc Le, Van Thi Truong, Anh Lan To

Abstract read
In one paragraph

Article in Inquiry : a journal of medical care organization, provision and financing. 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
  2. Article
  3. 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

5 authors.

Long Thanh GiangNational Economics University, Hanoi, Vietnam.ORCID 0000-0002-6296-0563
Thu Dai BuiInstitute of Social and Medical Studies, Hanoi, Vietnam.
Dung Duc LeInstitute of Social and Medical Studies, Hanoi, Vietnam.
Van Thi TruongInstitute of Social and Medical Studies, Hanoi, Vietnam.
Anh Lan ToInstitute of Social and Medical Studies, Hanoi, Vietnam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined various factors, including social support as a mediating one, influencing subjective unmet needs (SUN) in Vietnamese older people during the COVID-19 pandemic. Using logistic regression models with a national survey on older persons, we identified determinants of SUN, and then further explored how social support moderated the association between experiencing SUN and chronic diseases. We found that about 25% of Vietnamese older persons experienced SUN during the pandemic, in which more advanced age, living alone, lack of healthcare insurance and having chronic diseases were risk factors, while higher education, better wealth, and stronger social support played as protective factors. Particularly, social support was found a significantly moderated factor between SUN and chronic diseases. Based on these findings, we argued that it would be imperative to strengthen healthcare system at the grassroot level so as to improve accessible and adequate care for older persons, especially those with chronic diseases. Also, enhancing social support via solidary family and community members, particularly in times of crisis, was recommended to address older persons' healthcare needs.

Indexed as

COVID-19Health Services Needs and DemandSocial SupportAgedAged, 80 and overChronic DiseaseFemaleHealth Services AccessibilityHumansMaleMiddle AgedPandemicsSocioeconomic FactorsSoutheast Asian PeopleVietnamchronic diseasesCOVID-19older peoplesocial supportsubjective unmet needVietnam

Identifiers

PMID39610056
PMCPMC11605764

What OpenQuestion holds

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LicenceCC BY-NC
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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.