Evidence map›Paper›PMID 39354489›Full record

ArticleBMC health services research2024

Healthcare system navigation difficulties among informal caregivers of older adults: a logistic regression analysis of social capital, caregiving support and utilization factors.

Boah Kim, Andrew Wister, Barbara Mitchell, Lun Li, Laura Kadowaki

Abstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  6. Mapping Caregiver Needs' Assessment Tools for Family and Friend Caregivers: A Rapid Scoping Review.International journal of environmental research and public health · 2026
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  12. Race, Social Context, and Caregiving Intensity: Impact on Depressive Symptoms Among Spousal Caregivers.International journal of environmental research and public health · 2025
    Article
  13. Article
  14. TRANSFER-I: Hospitalised Older Adults and Their Carers' Perspectives of the Transition Home: A Qualitative Study.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
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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.

Boah KimDepartment of Gerontology, Simon Fraser University, 2800-515 Hastings Street, Vancouver, BC, V6B 5K3, Canada. boah_kim@sfu.ca.
Andrew WisterDepartment of Gerontology, Simon Fraser University, 2800-515 Hastings Street, Vancouver, BC, V6B 5K3, Canada.
Barbara MitchellDepartment of Gerontology, Simon Fraser University, 2800-515 Hastings Street, Vancouver, BC, V6B 5K3, Canada.
Lun LiGerontology Research Centre, Department of Gerontology, Simon Fraser University, 2800-515 Hastings Street, Vancouver, BC, V6B 5K3, Canada.
Laura KadowakiDepartment of Gerontology, Simon Fraser University, 2800-515 Hastings Street, Vancouver, BC, V6B 5K3, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInformal caregivers of older adults play a vital role in improving the degree to which older adults access community and healthcare services in a seamless and timely manner. They are fulfilling important navigation and support roles for their older care recipients. However, there is still little knowledge of the most significant facilitators and barriers to effective and efficient system navigation among caregivers. This paper aims to fill these knowledge gaps through investigation of the key factors (i.e., social capital/cohesion, caregiving supports, and utilization factors) affecting navigation difficulties faced by informal caregivers of older adults.

methodsThe Behavioural-Ecological Framework of Healthcare Access and Navigation (BEAN) model is used to frame the study. Using the General Social Survey on Caregiving and Care Receiving 2018, we analyzed 2,733 informal caregivers whose primary care recipients were aged 65 or older. Hierarchical logistic regression was conducted to identify the relationship between system navigation difficulties among informal caregivers and four sequentially ordered blocks of predictors: (1) sociodemographic (2), social capital/cohesion (3), caregiving supports, and (4) healthcare demand.

resultsThe fully adjusted model showed that the probability of reporting navigation difficulties was lower for caregivers with social capital/cohesion compared to those without social capital/cohesion. In comparison, the probability of reporting navigation difficulties was higher among caregivers with caregiving support and among caregivers whose care receivers use a higher amount of health service use. Several sociodemographic covariates were also identified.

conclusionOur findings support certain aspects of the BEAN model. This study extends our understanding of potential facilitators and barriers that informal caregivers of older adults face while navigating complex community and health systems. There is a need to implement coordinated schemes and health policies especially for older adults with mental/neurological issues to address the challenges of their caregivers given the specific vulnerability identified in this study. The need for further research using different approaches to examine the disproportionate impact of COVID-19 on caregivers' system navigation experience is crucial.

Indexed as

CaregiversSocial CapitalSocial SupportAgedAged, 80 and overFemaleHealth Services AccessibilityHumansLogistic ModelsMaleMiddle AgedPatient NavigationCare coordinationCommunity and health system accessInformal caregiversOlder adultsSystem navigation

Identifiers

PMID39354489
PMCPMC11443938

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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.