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Validation of the Malay Version of the Explanatory Model Interview Catalogue Stigma Scale among Covid-19 Survivors in Malaysia
Journal of Health and Translational Medicine ; 25(Special Issue 1):112-120, 2022.
Article in English | EMBASE | ID: covidwho-2205124
ABSTRACT
The Coronavirus disease (COVID-19) imparted unprecedented negative impact worldwide since it was declared as a global pandemic in 2020 due to its high infectivity and mortality rate. Consequently, those who have been infected with COVID-19 experienced significant amount of social stigma which resulting in deterioration of mental well-being. Hence, this study aimed to translate the Explanatory Model Interview Catalogue Stigma Scale (EMIC-SS) into Malay and investigate the reliability and validity of the Malay version (EMIC-SS-M) among COVID-19 survivors in Malaysia. Initially, concurrent translation and back translation of the EMIC-SS was conducted followed by the assessment of its face and content validity. Then, the EMIC-SS-M was administered to 219 COVID-19 survivors recruited from three targeted centers for assessment of its reliability (internal consistency) and validity (convergent and discriminant validity, exploratory factor analysis [EFA] and confirmatory factor analysis [CFA]). The EMIC-SS-M reported an acceptable internal consistency with Cronbach's alpha of 0.727, while its domains reported acceptable Cronbach's alpha ranged from 0.708 to 0.795. EFA and CFA confirmed that the EMIC-SS-M consisted of 15 items in 4 domains. The EMIC-SS-M exhibited good psychometric properties and ready for use to assess stigma among COVID-19 survivors in Malaysia. It can be adapted for use to assess stigma in other disease conditions among the Malaysian population in future studies. Copyright © 2022, Faculty of Medicine, University of Malaya. All rights reserved.
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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Prognostic study Language: English Journal: Journal of Health and Translational Medicine Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Prognostic study Language: English Journal: Journal of Health and Translational Medicine Year: 2022 Document Type: Article