Predicting the burden of family caregivers from their individual characteristics.

So, Mike K P; Yuk, Helina; Tiwari, Agnes; Cheung, Sam T Y; Chu, Amanda M Y

So, Mike K P; Yuk, Helina; Tiwari, Agnes; Cheung, Sam T Y; Chu, Amanda M Y.

Affiliation

So MKP; Department of Information Systems, Business Statistics and Operations Management, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong.
Yuk H; Department of Social Work, The Chinese University of Hong Kong, Shatin, Hong Kong.
Tiwari A; School of Nursing, The University of Hong Kong, Pokfulam Road, Hong Kong.
Cheung STY; School of Nursing, Hong Kong Sanatorium & Hospital, Hong Kong.
Chu AMY; Department of Social Sciences, The Education University of Hong Kong, Tai Po, Hong Kong.

Inform Health Soc Care ; 47(2): 211-222, 2022 Apr 03.

Article in En | MEDLINE | ID: mdl-34709118

Subject(s)

Caregiver Burden; Caregivers; Aged; Family; Humans; Social Support; Surveys and Questionnaires

Key words

Caregiver burden; caring responsibility; diagnosis; informal caregiver; informatics

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Caregivers / Caregiver Burden Type of study: Prognostic_studies / Risk_factors_studies Limits: Aged / Humans Language: En Journal: Inform Health Soc Care Journal subject: INFORMATICA MEDICA Year: 2022 Type: Article Affiliation country: Hong Kong

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