Participation factors in a self-quantification program for family caregivers of community-dwelling older adults with long-term care in Japan.

IF 1.6 Q2 MULTIDISCIPLINARY SCIENCES
Tomoko Wakui, Satoko Fujihara, Yoko Moriyama, Takeshi Nakagawa, Suguru Okubo, Shuichi Obuchi, Shuichi Awata, Ichiro Kai
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引用次数: 0

Abstract

Objective: This study aimed to examine the characteristics of participation in the self-quantification program for family caregivers (CGs) who provide long-term care to community-dwelling older adults. The family CGs, allocated based on the percentage of the nation's older population who needed care and met the inclusion criteria, who provided caregiving at least once a week for those aged 65 + and who were certified as needing care under the Japanese long-term care insurance program, were collected through online monitors. We compared the characteristics of the program participants and nonparticipants using logistic regression.

Results: A total of 2653 family CGs, including 195 study participants who engaged in self-quantification over 60 days and 2,458 nonparticipants who did not engage in self-quantification, were included in the analysis, with complete data available for all variables of interest. The survey included program participants who were predominantly male (55.9%), with an average age of 54.8 years (SD = 10.2). Participants tended to be fully employed (OR = 1.8; p < 0.01), but they were likely to experience greater burdens (OR = 1.8; p < 0.01) and daily caregiving demands (OR = 1.01; p < 0.01). This research highlights the potential efficacy of self-quantification programs for extensively burdened family CGs, illustrating that the requisites for support vary in accordance with the distinct characteristics of these CGs.

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来源期刊
BMC Research Notes
BMC Research Notes Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
3.60
自引率
0.00%
发文量
363
审稿时长
15 weeks
期刊介绍: BMC Research Notes publishes scientifically valid research outputs that cannot be considered as full research or methodology articles. We support the research community across all scientific and clinical disciplines by providing an open access forum for sharing data and useful information; this includes, but is not limited to, updates to previous work, additions to established methods, short publications, null results, research proposals and data management plans.
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