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

Bibliographic Data

ID15514941
AuthorsAhmad Zulfahmi Mohd Kamaruzaman (0000-0001-5951-4979, Hospital Universiti Sains Malaysia), Mohd Ismail Ibrahim (0000-0002-5470-4180, Hospital Universiti Sains Malaysia, corresponding author), Ariffin Marzuki Mokhtar (0000-0002-4754-8992, Universiti Sains Malaysia), Maizun Mohd Zain (Hospital Raja Perempuan Zainab II), Saiful Nazri Satiman (Universiti Malaysia Kelantan), Najib Majdi Yaacob (0000-0002-6860-1430, Hospital Universiti Sains Malaysia)
Year2022
Volume19
Issue4
Pages2045-2045
Publication date2022-02-11
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph19042045
PMID35206235
OpenAlexW4212837902
LanguageEN
Citations received1
References cited61

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

Confirmatory factor analysis · Consistency (knowledge bases · Construct (python library · Construct validity · Health care · Health professionals · Internal consistency · Malay · Medical education · Occupational safety and health · Psychometrics · Reliability (semiconductor · Structural equation modeling · Validity · Applied Psychology · Clinical Psychology · Computer Science · Medical Malpractice and Liability Issues · Medicine · Nursing · Occupational Health and Safety Research · Patient Safety and Medication Errors · Psychology

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