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Journal Article

Citation

Rashidi Fakari F, Ebadi A, Ozgoli G, Kariman N, Mohamadizeidi B. J. Rafsanjan Univ. Med. Sci. Health Serv. 2020; 19(3): 265-278.

Copyright

(Copyright © 2020, Rafsanjan University of Medical Sciences)

DOI

10.29252/jrums.19.3.265

PMID

unavailable

Abstract

Background and Objectives: Elderly abuse is one of the major social health problems and has a significant impact on the quality of life of the elderly. Faster detection of elder abuse and providing appropriate remedies will reduce its subsequent complications. Therefore, this study was conducted with the aim of translating and determining the psychometric properties of the Geriatric Mistreatment Scale (22 items) in the elderly living in Tehran, Iran.

Materials and Methods: This descriptive study was conducted on 301 elderly people living in Tehran in 2017-2018. The translation was done by the Health-Related Quality of Life (HRQOL) protocol method; after obtaining written permission from the original designer. Exploratory factor analysis was used to evaluate construct validity and Cronbachchr('39')s alpha coefficient and test-retest were used to determine reliability.

Results: Cronbachchr('39')s alpha was 0.80 for all items and Intraclass Correlation Coefficient was 0.81 which both showed appropriate reliability of the Persian version of Geriatric Mistreatment Scale. In the exploratory factor analysis, three factors (physical, psychological, economic) were extracted by principal axis factoring that determined 42% of cumulative variance.

Conclusion: The findings of the present study indicate that the Persian version of the Geriatric Mistreatment Scale is a valid and reliable tool that can be used as an indigenous tool to assess elder abuse, which is a public health problem.

Key words: Geriatric, Psychometric, Abuse

Funding: This study was funded by Shahid Beheshti University of Medical Sciences.

Conflict of interest: None declared.

Ethical approval: The Ethics Committee of Shahid Beheshti University approved the study )IR.SBMU.RETECH.REC.1396.869(


Language: en

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