Purpose: The study aimed to investigate comprehensively the determinants of the quality of life (QOL) of caregivers of children with cerebral palsy (CP) based on the International Classification of Functioning, Disability and Health for Children and Youth (ICF-CY). Methods: A total of 167 children with CP (mean age 9.06 years, SD 2.61 years) and their caregivers (mean age 40.24 years, SD 5.43 years) participated in this study. The QOL of caregivers was measured with the World Health Organization Quality of Life-BREF-Taiwan version (WHOQOL-BREF-TW). The potential determinants of QOL were collected, including child characteristics, caregiver characteristics, and environmental factors from all dimensions of the ICF-CY and analysed using multiple regression models. Results: Four multiple regression models revealed that determinants of the QOL of caregivers of children with CP was multidimensional, encompassing child characteristics (age, type of CP, fine motor impairment, other diseases, behaviour and emotions, visual impairment, hearing impairment), caregiver characteristics (general mental health, parenting stress, marital status, family coping patterns, and socio-economic status), and environmental factors (child’s medication, school setting, and current rehabilitation service, caregiver’s spouse’s age, family life impacts, and domestic helper). Conclusions: Knowledge of the determinants of QOL could serve as a guide in a holistic approach to evaluation and intervention and help plan interventions targeted at these determinants to improve the QOL of caregivers of children with CP.

The impacts of novel coronavirus disease-2019 (COVID-19) on human life continue to be serious. To control the spread of COVID-19, the production of effective vaccines is likely to be one of the best solutions. However, vaccination hesitancy may decrease individuals’ willingness to get vaccinated. The Drivers of COVID-19 Vaccination Acceptance Scale (DrVac-COVID19S) was recently developed to help healthcare professionals and researchers better understand vaccination acceptance. The present study examined whether DrVac-COVID19S is measurement invariant across different subgroups (Taiwanese vs. mainland Chinese university students; males vs. females; and health-related program majors vs. non-health-related program majors). Taiwanese (n = 761; mean age = 25.51 years; standard deviation (SD) = 6.42; 63.5% females) and mainland Chinese university students (n = 3145; mean age = 20.72 years; SD = 2.06; 50.2% females) were recruited using an online survey between 5 January and 21 February 2021. Factor structure and measurement invariance of the two DrVac-COVID19S scales (nine-item and 12-item) were tested using confirmatory factor analysis (CFA). The findings indicated that the DrVac-COVID19S had a four-factor structure and was measurement invariant across the subgroups. The DrVac-COVID19S’s four-factor structure was supported by the CFA results is a practical and valid instrument to quickly capture university students’ willingness to get COVID-19 vaccination. Moreover, the DrVac-COVID19S can be used to compare university students’ underlying reasons to get COVID-19 vaccination among different subgroups.