The Development and Validation of Elder Self-Neglect Scale (ESNS) in Iranian Community-dwelling Older Population.

Autor: Motamed-Jahromi M; Department of Medical-Surgical Nursing, Nursing School, Fasa University of Medical Sciences, Fasa, Iran., Kaveh MH; Research Center for Health Sciences, Institute of Health, Department of Health Promotion, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran., Khodabandeh Shahraki S; Department of Community Health Nursing, Razi Faculty of Nursing and Midwifery, Kerman University of Medical Sciences, Kerman, Iran., Yousefzadeh N; Department of health services management, School of health manangment and information sciences, Iran University of Medical Sciences, Tehran, Iran., Dabbaghmanesh MH; Endocrinology and Metabolism Research Center, Shiraz University of Medical Sciences, Shiraz, Iran., Mohammadi M; Department of Educational Administration and Planning, School of Education and Psychology, Shiraz University, Shiraz, Iran., Baloch GM; Department of Public Health, School of Psychology, Faculty of Health Sciences and Wellbeing, University of Sunderland, UK.
Jazyk: angličtina
Zdroj: Social work in public health [Soc Work Public Health] 2023 May 19; Vol. 38 (4), pp. 311-322. Date of Electronic Publication: 2022 Oct 21.
DOI: 10.1080/19371918.2022.2135664
Abstrakt: The aim of this study was to develop a valid and reliable elder self-neglect scale (ESNS) for field research on Iranian community-dwelling older adults. This mixed-method exploratory study was conducted in three stages: (1) item generation using literature review, (2) item reduction by expert panels, and (3) assessing the psychometric properties. In the third stage, the face, content, and construct validity (exploratory factor analysis) were performed on the first sample (n = 450), and the final 26-item scale was developed. After that, confirmatory factor analysis and reliability were assessed on the second sample (n = 250). Data were analyzed using IBM-SPSS v.23 and AMOS v.24. Exploratory factor analysis identified six factors with a total variance of 77.53%. The goodness of fit was indicated by Structural Equation Modeling. The Cronbach's alpha was estimated at 0.85. The optimal cutoff point was 73. This scale with 26 items seems to be an effective tool in screening elder self-neglect.
Databáze: MEDLINE