Evidence map›Paper›PMID 38919919›Full record

ArticleFrontiers in public health2024

Care model selection for older adult stroke survivors with disabilities: insights from the eighth wave of CLHLS data and influencing factors.

Liping Xiang, Qin Liu, Zijuan Shi, Li Zhang, Li Wu, Yuqin Chen

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Liping XiangNorth Sichuan Medical College, Nanchong, China.
Qin LiuNorth Sichuan Medical College, Nanchong, China.
Zijuan ShiNorth Sichuan Medical College, Nanchong, China.
Li ZhangNorth Sichuan Medical College, Nanchong, China.
Li WuAffiliated Hospital of North Sichuan Medical College, Nanchong, China.
Yuqin ChenAffiliated Hospital of North Sichuan Medical College, Nanchong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Analyzing the differences in caregiving models for disabled older adult individuals after stroke and the influencing factors, to provide a basis for addressing relevant social demographic issues. Methods: The older adult diagnosed with stroke were screened from the Chinese Geriatric Health Survey (CLHLS), and were further divided into subgroups of disability, which was based on their ability of or whether they need help in performing activities such as dressing, bathing, eating, toileting or bowel and bladder control using the international common Katz scale. The care model was divided into formal care, informal care and home care. Multivariate logistic regression was used to screen the influencing factors of the choice of care model for the disabled older adult after stroke. Results: The results of univariate analysis showed that there were statistical differences in the choice of care mode among different ages, household registration types, number of children, years of education, degree of disability, community services, retirement pension, marital status and medical insurance. Multiple logistic regression showed that, The rural older adult with more children, shorter education years, living with spouse and no help from community tend to choose informal care. Older adult people with higher levels of education, urban household registration, and access to community services are more likely to choose formal care. Older adult women with multiple children are more likely to receive care from their children. Conclusion: In the future, vigorous support for the development of formal caregiving institutions and the improvement of the management system of formal caregiving will help enhance the subjective initiative of disabled older adult individuals in choosing caregiving models and alleviate the burden of family caregiving.

Indexed as

CaregiversPersons with DisabilitiesAgedAged, 80 and overChinaFemaleHealth SurveysHumansLogistic ModelsMaleMiddle AgedStrokeSurvivorscare modelCLHLSdisabled older adultstrokethe influencing factors

Identifiers

PMID38919919
PMCPMC11196807

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