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

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 anal...

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Main Authors: Abdul Rashid, Aneesa, Devaraj, Navin Kumar, Mohd Yusof, Halidah, Mustapha, Fauzan, Wong, Shaw Voon, Ismail, Ahmad Filza, Ismail, Khairil Idham, Qureshi, Ahmad Munir, Nordin, Rusli
Format: Article
Language:English
Published: BMJ Publishing 2020
Online Access:http://psasir.upm.edu.my/id/eprint/87269/1/Prevalence%20and%20predictors%20of%20road%20crash%20involvement%20among%20medical%20doctors.pdf
http://psasir.upm.edu.my/id/eprint/87269/
https://bmjopen.bmj.com/content/10/7/e037653
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spelling my.upm.eprints.872692022-02-03T05:03:33Z http://psasir.upm.edu.my/id/eprint/87269/ Prevalence and predictors of road crash involvement among medical doctors in Malaysia: a cross-sectional study protocoll Abdul Rashid, Aneesa Devaraj, Navin Kumar Mohd Yusof, Halidah Mustapha, Fauzan Wong, Shaw Voon Ismail, Ahmad Filza Ismail, Khairil Idham Qureshi, Ahmad Munir Nordin, Rusli 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. BMJ Publishing 2020-07-31 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/87269/1/Prevalence%20and%20predictors%20of%20road%20crash%20involvement%20among%20medical%20doctors.pdf Abdul Rashid, Aneesa and Devaraj, Navin Kumar and Mohd Yusof, Halidah and Mustapha, Fauzan and Wong, Shaw Voon and Ismail, Ahmad Filza and Ismail, Khairil Idham and Qureshi, Ahmad Munir and Nordin, Rusli (2020) Prevalence and predictors of road crash involvement among medical doctors in Malaysia: a cross-sectional study protocoll. BMJ Open, 10 (7). pp. 1-5. ISSN 2044-6055; ESSN: 2044-6055 https://bmjopen.bmj.com/content/10/7/e037653 10.1136/bmjopen-2020-037653
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
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.
format Article
author Abdul Rashid, Aneesa
Devaraj, Navin Kumar
Mohd Yusof, Halidah
Mustapha, Fauzan
Wong, Shaw Voon
Ismail, Ahmad Filza
Ismail, Khairil Idham
Qureshi, Ahmad Munir
Nordin, Rusli
spellingShingle Abdul Rashid, Aneesa
Devaraj, Navin Kumar
Mohd Yusof, Halidah
Mustapha, Fauzan
Wong, Shaw Voon
Ismail, Ahmad Filza
Ismail, Khairil Idham
Qureshi, Ahmad Munir
Nordin, Rusli
Prevalence and predictors of road crash involvement among medical doctors in Malaysia: a cross-sectional study protocoll
author_facet Abdul Rashid, Aneesa
Devaraj, Navin Kumar
Mohd Yusof, Halidah
Mustapha, Fauzan
Wong, Shaw Voon
Ismail, Ahmad Filza
Ismail, Khairil Idham
Qureshi, Ahmad Munir
Nordin, Rusli
author_sort Abdul Rashid, Aneesa
title Prevalence and predictors of road crash involvement among medical doctors in Malaysia: a cross-sectional study protocoll
title_short Prevalence and predictors of road crash involvement among medical doctors in Malaysia: a cross-sectional study protocoll
title_full Prevalence and predictors of road crash involvement among medical doctors in Malaysia: a cross-sectional study protocoll
title_fullStr Prevalence and predictors of road crash involvement among medical doctors in Malaysia: a cross-sectional study protocoll
title_full_unstemmed Prevalence and predictors of road crash involvement among medical doctors in Malaysia: a cross-sectional study protocoll
title_sort prevalence and predictors of road crash involvement among medical doctors in malaysia: a cross-sectional study protocoll
publisher BMJ Publishing
publishDate 2020
url http://psasir.upm.edu.my/id/eprint/87269/1/Prevalence%20and%20predictors%20of%20road%20crash%20involvement%20among%20medical%20doctors.pdf
http://psasir.upm.edu.my/id/eprint/87269/
https://bmjopen.bmj.com/content/10/7/e037653
_version_ 1724075584032604160
score 13.211869

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