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Development and Psychometric Evaluation of the Caring Scale for Institutionalized Elders
Huei-Lih Hwang1, Chin-Tang Tu, Hsiu-Hung Wang
11PhD, RN, Associate Professor, National Tainan Institution of Nursing 2PhD, Professor, Department of Education, National Kaohsiung Normal University 3PhD, RN, Professor, Department of Nursing, Kaohsiung Medical University.
A new 12-item scale effectively measures care efficacy for institutionalized older adults, offering improved tools for healthcare professionals. This validated instrument enhances caring knowledge and skills in long-term care settings.
Area of Science:
- Gerontology
- Nursing Research
- Psychometrics
Background:
- A validated scale is needed to assess care efficacy from the perspective of institutionalized older adults.
- Existing tools are insufficient for measuring caretaker interactions in long-term care.
- Improved caring knowledge and skills are essential for nurses and caretakers.
Purpose of the Study:
- To develop a psychometrically sound scale for measuring care efficacy in institutionalized older adults.
- To explore the psychometric structure of the developed caring scale.
Main Methods:
- Scale development involved literature reviews and interviews, followed by item analysis and content validity testing.
- Exploratory and confirmatory factor analyses were conducted on data from 300 and 216 institutionalized older adults, respectively.
- The study was conducted in Taiwan between 2011 and 2013.
Main Results:
- Confirmatory factor analysis supported a 12-item, two-factor structure for the scale.
- The scale demonstrated good fit indices (e.g., CFI = .958, RMSEA = .069).
- Reliability was acceptable, with Cronbach's alpha values ranging from .827 to .907.
Conclusions:
- The developed 12-item scale possesses satisfactory validity and reliability for assessing care efficacy in institutionalized older adults.
- The scale can be utilized to enhance the quality of care in long-term care facilities.
- Further research is recommended to evaluate the scale's applicability across diverse populations.
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