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Cross-Cultural Adaptation and Psychometric Properties of Quality of Life Scales for Arabic-Speaking Adults: A systematic review
Author(s) -
Mohammed Al Maqbali,
Jackie Gracey,
Jane Rankin,
Lynn Dunwoody,
Eileen Danaher Hacker,
Ciara Hughes
Publication year - 2020
Publication title -
sultan qaboos university medical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.258
H-Index - 27
eISSN - 2075-0528
pISSN - 2075-051X
DOI - 10.18295/squmj.2020.20.02.002
Subject(s) - psycinfo , medline , medicine , psychometrics , quality of life (healthcare) , scale (ratio) , reliability (semiconductor) , systematic review , cochrane library , cross cultural studies , population , clinical psychology , adaptation (eye) , arabic , gerontology , meta analysis , psychology , nursing , social psychology , environmental health , pathology , power (physics) , physics , linguistics , philosophy , quantum mechanics , neuroscience , political science , law
This review aimed to explore the psychometric properties of quality of life (QOL) scales to identify appropriate tools for research and clinical practice in Arabic-speaking adults. A systematic search of the Cumulative Index to Nursing and Allied Health Literature ® (EBSCO Information Services, Ipswich, Massachusetts, USA), MEDLINE ® (National Library of Medicine, Bethesda, Maryland, USA), EMBASE (Elsevier, Amsterdam, Netherlands) and PsycINFO (American Psychological Association, Washington, District of Columbia, USA) databases was conducted according to Preferred Reporting Items Systematic Reviews and Meta-Analysis guidelines. Quality assessment criteria were then utilised to evaluate the psychometric properties of identified QOL scales. A total of 27 studies relating to seven QOL scales were found. While these studies provided sufficient information regarding the scales' validity and reliability, not all reported translation and cross-cultural adaptation processes. Researchers and clinicians should consider whether the psychometric properties, subscales and characteristics of their chosen QOL scale are suitable for use in their population of interest.

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