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Prevalence and predictors of road crash involvement among medical doctors in Malaysia: a cross-sectional study protocol

INTRODUCTION: Medical doctors are often subjected to long working hours with minimal rest in between the shifts. This has led to many fatal and non-fatal road crash involvement (RCI). This study aims to determine the prevalence and predictors of RCI among medical doctors in Malaysia. METHODS AND ANA...

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Autores principales: Rashid, Aneesa Abdul, Devaraj, Navin Kumar, Mohd Yusof, Halidah, Mustapha, Fauzan, Wong, Shaw Voon, Ismail, Ahmad Filza, Ismail, Khairil Idham, Qureshi, Ahmad Munir, Nordin, Rusli Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7333866/
https://www.ncbi.nlm.nih.gov/pubmed/32616493
http://dx.doi.org/10.1136/bmjopen-2020-037653
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author Rashid, Aneesa Abdul
Devaraj, Navin Kumar
Mohd Yusof, Halidah
Mustapha, Fauzan
Wong, Shaw Voon
Ismail, Ahmad Filza
Ismail, Khairil Idham
Qureshi, Ahmad Munir
Nordin, Rusli Bin
author_facet Rashid, Aneesa Abdul
Devaraj, Navin Kumar
Mohd Yusof, Halidah
Mustapha, Fauzan
Wong, Shaw Voon
Ismail, Ahmad Filza
Ismail, Khairil Idham
Qureshi, Ahmad Munir
Nordin, Rusli Bin
author_sort Rashid, Aneesa Abdul
collection PubMed
description INTRODUCTION: Medical doctors are often subjected to long working hours with minimal rest in between the shifts. This has led to many fatal and non-fatal road crash involvement (RCI). This study aims to determine the prevalence and predictors of RCI among medical doctors in Malaysia. METHODS AND ANALYSIS: This is a cross-sectional study among 375 Malaysian medical doctors who met the inclusion criteria. A predetermined self-administered questionnaires will be used to collect information regarding the sociodemographic, health status, workplace information, work commuting information, driving behaviour, history of RCI, fatigue, sleep quality, mental health status and work engagement. The questionnaires consist of the following instruments: (1) sociodemographic, health status, workplace information, work commuting information, driving behaviour and history of RCI; (2) Checklist of Individual Strength Questionnaire; (3) Pittsburgh Sleep Quality Index; (4) 21-item Depression Anxiety and Stress Scale; and (5) Utrecht's Work Engagement Scale. The data will be analysed using SPSS program V.24. Descriptive and inferential statistics will be used to determine the prevalence and predictors of RCI. ETHICS AND DISSEMINATION: This study protocol has received ethics approval from the Medical Research and Ethics Committee (MREC), Ministry of Health Malaysia (NMRR-18-3983-40609) and the Ethics Committee for Research Involving Human Subject, University Putra Malaysia (JKEUPM). Online written informed consent will be obtained from each study participant by the researchers. Results of the study will be disseminated through relevant journals and conferences. TRIAL REGISTRATION NUMBER: NCT04243291.
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spelling pubmed-73338662020-07-07 Prevalence and predictors of road crash involvement among medical doctors in Malaysia: a cross-sectional study protocol Rashid, Aneesa Abdul Devaraj, Navin Kumar Mohd Yusof, Halidah Mustapha, Fauzan Wong, Shaw Voon Ismail, Ahmad Filza Ismail, Khairil Idham Qureshi, Ahmad Munir Nordin, Rusli Bin BMJ Open Occupational and Environmental Medicine INTRODUCTION: Medical doctors are often subjected to long working hours with minimal rest in between the shifts. This has led to many fatal and non-fatal road crash involvement (RCI). This study aims to determine the prevalence and predictors of RCI among medical doctors in Malaysia. METHODS AND ANALYSIS: This is a cross-sectional study among 375 Malaysian medical doctors who met the inclusion criteria. A predetermined self-administered questionnaires will be used to collect information regarding the sociodemographic, health status, workplace information, work commuting information, driving behaviour, history of RCI, fatigue, sleep quality, mental health status and work engagement. The questionnaires consist of the following instruments: (1) sociodemographic, health status, workplace information, work commuting information, driving behaviour and history of RCI; (2) Checklist of Individual Strength Questionnaire; (3) Pittsburgh Sleep Quality Index; (4) 21-item Depression Anxiety and Stress Scale; and (5) Utrecht's Work Engagement Scale. The data will be analysed using SPSS program V.24. Descriptive and inferential statistics will be used to determine the prevalence and predictors of RCI. ETHICS AND DISSEMINATION: This study protocol has received ethics approval from the Medical Research and Ethics Committee (MREC), Ministry of Health Malaysia (NMRR-18-3983-40609) and the Ethics Committee for Research Involving Human Subject, University Putra Malaysia (JKEUPM). Online written informed consent will be obtained from each study participant by the researchers. Results of the study will be disseminated through relevant journals and conferences. TRIAL REGISTRATION NUMBER: NCT04243291. BMJ Publishing Group 2020-07-02 /pmc/articles/PMC7333866/ /pubmed/32616493 http://dx.doi.org/10.1136/bmjopen-2020-037653 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Occupational and Environmental Medicine
Rashid, Aneesa Abdul
Devaraj, Navin Kumar
Mohd Yusof, Halidah
Mustapha, Fauzan
Wong, Shaw Voon
Ismail, Ahmad Filza
Ismail, Khairil Idham
Qureshi, Ahmad Munir
Nordin, Rusli Bin
Prevalence and predictors of road crash involvement among medical doctors in Malaysia: a cross-sectional study protocol
title Prevalence and predictors of road crash involvement among medical doctors in Malaysia: a cross-sectional study protocol
title_full Prevalence and predictors of road crash involvement among medical doctors in Malaysia: a cross-sectional study protocol
title_fullStr Prevalence and predictors of road crash involvement among medical doctors in Malaysia: a cross-sectional study protocol
title_full_unstemmed Prevalence and predictors of road crash involvement among medical doctors in Malaysia: a cross-sectional study protocol
title_short Prevalence and predictors of road crash involvement among medical doctors in Malaysia: a cross-sectional study protocol
title_sort prevalence and predictors of road crash involvement among medical doctors in malaysia: a cross-sectional study protocol
topic Occupational and Environmental Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7333866/
https://www.ncbi.nlm.nih.gov/pubmed/32616493
http://dx.doi.org/10.1136/bmjopen-2020-037653
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