FACTORS RELATED TO THE QUALITY OF LIFE OF CHINESE CAREGIVERS (FAMILY, ELDERLY FAMILY MEMBER).
Contributors: University Of Illinois At Chicago, Health Sciences Center.
Published: 1991
Number of pages: 170
Subjects: Health Sciences, Nursing.; Gerontology.
Description: The purpose of this study was to explore the impact of caregiving situations and caregiving strain on the quality of life of Chinese caregivers of elderly family members with chronic disease. The final sample consisted of 474 family caregivers. Most of the caregivers (75%) were recruited from three hospitals in Taiwan. Snowball sampling was used to recruit the caregivers of non-hospitalized patients.

The mean age of caregivers was 35.93 years (SD = 13.38 years). The majority of the caregivers were female (59.6%), married (61.8%), and unemployed (53.8). Among these unemployed caregivers, 36.9% had quit their jobs because of the demands of caregiving. Data were collected by self-administered questionnaires. Satisfactory reliability was found for all the instruments.

Stepwise multiple regression was performed to identify predictors of the strain of caregiving, which was measured by the Caregivers' Reaction Inventory (CRI). The significant predictors of caregiving strain were health status of the caregivers, patients' level of disability (the OARS Multidimensional Functional Assessment Questionnaire, OMFAQ), family hardiness (Family Hardiness Index, FHI), reason for quitting job, employment status, and a satisfying relationship with the patients. A total of 23% of the variance was explained. The impact of these predictors on each subscale of the CRI also was explored.

Stepwise multiple regression also was performed. The significant predictors of the quality of life of the caregivers (measured by the Quality of Life Index, QLI) were family satisfaction (Family Satisfaction Index, FSI), health status of the caregivers, family hardiness (FHI), caregiver's strain (CRI), whether the patient was insured, and satisfaction with the relationship with the patient. A total of 58% of the variance was explained by these predictors. The impact of these predictors on each subscale of the QLI also was explored.
Notes: Source: Dissertation Abstracts International, Volume: 52-05, Section: B, page: 2501.

Thesis (PH.D.)--UNIVERSITY OF ILLINOIS AT CHICAGO, HEALTH SCIENCES CENTER, 1991.

School code: 0806.