We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Reliability and Validation Study of Advance Care Planning Practice Scale among Health and Social Care Professionals.
- Authors
Che, Sok-Leng; Leong, Sok-Man; Lau, Wing-Sze; Tam, Kuai-In
- Abstract
Advance care planning (ACP) is a crucial process in clinical practice, enabling individuals to articulate their care preferences and goals, with significant implications for future healthcare. However, ACP practice of health and social care professionals (HSCPs) concerning patients, or their family members are rarely explored. The objective of the study was to adapt and validate a four-item scale assessing ACP practices of HSCPs toward patients or their family members. The ACP Practice Scale was evaluated through a cross-sectional online survey administered to HSCPs in Macao, assessing its factor structure, validity, and reliability. Based on a sample of 186 valid responses, the ACP Practice Scale demonstrated satisfactory levels of validity and reliability among HSPCs in Macao. The four-item scale explained 65.87% of the variance in ACP practice and exhibited strong internal consistency, with Cronbach's alpha and McDonald's omega coefficients of 0.82. Furthermore, item factor loadings ranged from 0.71 to 0.90. The ACP Practice Scale provides reliable and valid measurements of ACP practice among HSCPs. This instrument can help to enhance our understanding of ACP practices in clinical settings and support the advancement of advance care planning.
- Subjects
MACAU (China : Special Administrative Region); PROFESSIONAL practice; STRUCTURAL equation modeling; PILOT projects; HOSPITALS; OCCUPATIONAL roles; RESEARCH evaluation; ADULT day care; DISCUSSION; SOCIAL workers; RESEARCH methodology evaluation; RESEARCH methodology; SOCIAL media; CROSS-sectional method; MEDICAL personnel; ADVANCE directives (Medical care); PATIENTS' families; CRONBACH'S alpha; PATIENTS' attitudes; COMMUNICATION; NURSES; QUESTIONNAIRES; FACTOR analysis; DESCRIPTIVE statistics; DECISION making; RESEARCH funding; PATIENT-professional relations; STATISTICAL sampling; DATA analysis software; HEALTH equity; LONG-term health care
- Publication
Healthcare (2227-9032), 2024, Vol 12, Issue 2, p200
- ISSN
2227-9032
- Publication type
Article
- DOI
10.3390/healthcare12020200