Evidence map›Paper›PMID 41233861›Full record

ArticleBMC nursing2025

Development and validation of the third-party disability assessment scale for family caregivers of post-stroke disabled elderly.

Na Li, Yang Liao, Yongqing Zhang, Jiawen Qin, Yili Gao, Xiaoshan Rong, Hui Shi, Yanfen Gu, Haiping Yu

Abstract read
In one paragraph

Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Na Li *Department of Nursing, Shanghai East Hospital, School of Medicine, Tongji University, 1800 Yuntai Road, Pudong New District, Shanghai, 200120, China.
Yang Liao *Neurological Rehabilitation Center, Shanghai Sunshine Rehabilitation Center, Shanghai, 201619, China.
Yongqing ZhangSchool of Medicine, Tongji University, Shanghai, 200331, China.
Jiawen QinDepartment of Physical Examination Center, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200120, China.
Yili GaoDepartment of Pain Medicine, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200120, China.
Xiaoshan RongDepartment of Nursing, Shanghai Sunshine Rehabilitation Center, Shanghai, 201619, China.
Hui ShiDepartment of Nursing, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Yanfen GuDepartment of Nursing, Shanghai East Hospital, School of Medicine, Tongji University, 1800 Yuntai Road, Pudong New District, Shanghai, 200120, China.
Haiping YuDepartment of Nursing, Shanghai East Hospital, School of Medicine, Tongji University, 1800 Yuntai Road, Pudong New District, Shanghai, 200120, China. pingping670@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong-term caregiving burden can lead to multiple health issues among caregivers of disabled elderly patients, including impaired physical functioning, psychological distress, and restricted social roles. The World Health Organization (WHO) defined it as "third-party disability", referring to the sustained negative impacts on caregivers who provide long-term care for patients. These negative impacts include impairments in physiological functions, social participation, and environmental adaptation. Based on that, this study developed and validated a specialized assessment tool to evaluate third-party disability among caregivers of elderly patients with post-stroke disability, aiming to provide scientific and precise measurement criteria for clinical practice.

methodsThis study is comprised of two phases. In the first phase, scale items were identified through literature review and semi-structured interviews. The content of items was revised by expert review and pre-surveys to generate a preliminary scale. In the second phase, data from 251 family caregivers of elderly patients with post-stroke disability were used. We conducted item analysis and exploratory factor analysis (EFA) to refine scale items, k-means cluster analysis and discriminant analysis to refine scale score levels. Furthermore, we completed the confirmatory factor analysis (CFA) and reliability analysis of the refined scale with data from another 398 family caregivers.

resultsThe final developed scale consists of four dimensions (totally 26 items), which are mental functioning, physical functioning, daily living, and environmental adaptation. The scale demonstrates strong content validity, with item-level content validity indices (I-CVIs) ranging from 0.79 to 1.00 and a scale-level content validity index (S-CVI) of 0.93. The CFA demonstrates that the scale model fits well and has good factorial validity. The average variance extracted (AVE) of the scale model ranges from 0.57 to 0.70. Meanwhile, the correlation coefficients between different dimensions are all less than the square roots of their respective AVEs, indicating the scale model has good convergent validity and discriminant validity. The scale also demonstrates robust reliability, with Cronbach's α coefficient of 0.91, split-half reliability of 0.80, and test-retest reliability (assessed with a two-week interval) of 0.96.

conclusionsWhile the final developed scale demonstrates strong reliability and validity, further refinement is still necessary for the scale to perfectly serve as a reference for constructing targeted intervention measures.

Indexed as

CaregiversDisabled elderlyReliability and validityScale developmentThird-party disability

Identifiers

PMID41233861
PMCPMC12616903

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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.