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Translation and Validation of the Malay Revised Second Victim Experience and Support Tool (M-SVEST-R) among Healthcare Workers in Kelantan, Malaysia

Ahmad Zulfahmi Mohd Kamaruzaman, Mohd Ismail Ibrahim, Ariffin Marzuki Mokhtar, Maizun Mohd Zain, Saiful Nazri Satiman, Najib Majdi Yaacob

2022International Journal of Environmental Research and Public Health22 citationsDOIOpen Access PDF

Abstract

"Second victims" are defined as healthcare professionals who are traumatized physically, psychologically, or emotionally as a result of encountering any patient safety incidents. The Revised Second Victim Experience and Support Tool (SVEST-R) is a crucial instrument acknowledged worldwide for the assessment of the second victim phenomenon in healthcare facilities. Hence, the aim of this study was to evaluate the psychometric properties of the Malay version of the SVEST-R. This was a cross-sectional study that recruited 350 healthcare professionals from a teaching hospital in Kelantan, Malaysia. After obtaining permission from the original author, the instrument underwent 10 steps of established translation process guidelines. Pretesting of 30 respondents was performed before embarking on the confirmatory factor analysis (CFA) to evaluate internal consistency and construct validity. The analysis was conducted using the R software environment. The final model agreed for 7 factors and 32 items per the CFA's guidelines for good model fit. The internal consistency was determined using Raykov's rho and showed good results, ranging from 0.77 to 0.93, with a total rho of 0.83. The M-SVEST-R demonstrated excellent psychometric properties and adequate validity and reliability. This instrument can be used by Malaysian healthcare organizations to assess second victim experiences among healthcare professionals and later accommodate their needs with the desired support programs.

Topics & Concepts

MalayConfirmatory factor analysisHealth careConstruct validityPsychologyReliability (semiconductor)Applied psychologyHealth professionalsConstruct (python library)ValidityConsistency (knowledge bases)Internal consistencyOccupational safety and healthMedical educationNursingMedicinePsychometricsClinical psychologyStructural equation modelingComputer scienceArtificial intelligencePower (physics)LinguisticsEconomicsPhilosophyProgramming languagePathologyEconomic growthPhysicsQuantum mechanicsMachine learningPatient Safety and Medication ErrorsOccupational Health and Safety ResearchMedical Malpractice and Liability Issues
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