ปัจจัยที่มีอิทธิพลต่อการปรับตัวของผู้ดูแลผู้ป่วยระยะสุดท้าย

Techinee Thampitak; Arpaporn  powwattana; Lalita kaewwilai

Authors

Techinee Thampitak Graduate Student in Master of Nursing Science Program in Community Nurse Practitioner, Mahidol Universi-ty
Arpaporn powwattana Professor, Department of Public Health Nursing, Faculty of Public Health, Mahidol University.
Lalita kaewwilai Lecturer, Department of Public Health Nursing, Faculty of Public Health, Mahidol University

Keywords:

caregiver adaptation, caregivers, terminal illness patients, caregiver coping strategies, caregiving burden

Abstract

This correlational predictive study aimed to examine the adaptation among caregivers in terminal illness patients and the predictive power of caregiving burden, social support, caregiving self-efficacy, duration of caregiving, caregiver stress, coping strategies, and past experiences on caregiver adaptation. The study based on Roy’s adaptation theory as a conceptual framework. The sample consisted of 113 caregivers in terminal illness patients at Nakhon Pathom Hospital, Nakhon Chai Si Hospital, and Phutthamonthon Hospital. Participants were selected by purposive sampling based on inclusion criteria. Data were collected by demographic record forms and seven questionnaires. The data were analyzed by descriptive statistics and multiple regression analysis.

The results indicated that the caregivers had a moderate adaptation (x̄ = 114.95, SD = 14.09). Caregiver coping strategies, caregiving burden, and caregiving self-efficacy could explain 47.4% of the variance in caregiver adaptation (R² = .474, p < .05). The significant predictors were coping strategies (β = .389, p < .001), caregiving burden (β = .327, p < .001) and caregiving self-efficacy (β = .174, p < .05). The finding of this study can be used to enhance caregiver coping strategies by developing intervention programs to promote effective and suitable coping mechanisms. This will ultimately contribute to improved adaptation of caregivers in terminal illness patient

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