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 analy...

Full description

Saved in:
Bibliographic Details
Main Authors: Navin Kumar Devaraj, Aneesa Abdul Rashid, Halidah Mohd Yusof, Fauzan Mustapha, Shaw Voon Wong, Ahmad Filza Ismail, Khairil Idham Ismail, Ahmad Munir Qureshi, Rusli Bin Nordin
Format: Article
Language:English
Published: BMJ Publishing Group 2020-07-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/10/7/e037653.full
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850137617597726720
author Navin Kumar Devaraj
Aneesa Abdul Rashid
Halidah Mohd Yusof
Fauzan Mustapha
Shaw Voon Wong
Ahmad Filza Ismail
Khairil Idham Ismail
Ahmad Munir Qureshi
Rusli Bin Nordin
author_facet Navin Kumar Devaraj
Aneesa Abdul Rashid
Halidah Mohd Yusof
Fauzan Mustapha
Shaw Voon Wong
Ahmad Filza Ismail
Khairil Idham Ismail
Ahmad Munir Qureshi
Rusli Bin Nordin
author_sort Navin Kumar Devaraj
collection DOAJ
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.
format Article
id doaj-art-65cbd2c7fa454249a3751d84a0750928
institution OA Journals
issn 2044-6055
language English
publishDate 2020-07-01
publisher BMJ Publishing Group
record_format Article
series BMJ Open
spelling doaj-art-65cbd2c7fa454249a3751d84a07509282025-08-20T02:30:47ZengBMJ Publishing GroupBMJ Open2044-60552020-07-0110710.1136/bmjopen-2020-037653Prevalence and predictors of road crash involvement among medical doctors in Malaysia: a cross-sectional study protocolNavin Kumar Devaraj0Aneesa Abdul Rashid1Halidah Mohd Yusof2Fauzan Mustapha3Shaw Voon Wong4Ahmad Filza Ismail5Khairil Idham Ismail6Ahmad Munir Qureshi7Rusli Bin Nordin8Department of Family Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, MalaysiaMalaysian Research Institute On Ageing (MYAGEING), Universiti Putra Malaysia, Serdang, Selangor, MalaysiaDepartment of Family Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, MalaysiaDepartment of Family Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, MalaysiaMechanical and Manufacturing Engineering, Universiti Putra Malaysia, Serdang, MalaysiaDepartment of Community Medicine, Universiti Sains Malaysia - Kampus Kesihatan, Kubang Kerian, MalaysiaDepartment of Research, Islamic Medical Association Malaysia, Cheras, MalaysiaVisiting Faculty, Al-Shifa School of Public Health, Rawalpindi, PakistanDepartment of Research, Islamic Medical Association Malaysia, Cheras, MalaysiaIntroduction 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.https://bmjopen.bmj.com/content/10/7/e037653.full
spellingShingle Navin Kumar Devaraj
Aneesa Abdul Rashid
Halidah Mohd Yusof
Fauzan Mustapha
Shaw Voon Wong
Ahmad Filza Ismail
Khairil Idham Ismail
Ahmad Munir Qureshi
Rusli Bin Nordin
Prevalence and predictors of road crash involvement among medical doctors in Malaysia: a cross-sectional study protocol
BMJ Open
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
url https://bmjopen.bmj.com/content/10/7/e037653.full
work_keys_str_mv AT navinkumardevaraj prevalenceandpredictorsofroadcrashinvolvementamongmedicaldoctorsinmalaysiaacrosssectionalstudyprotocol
AT aneesaabdulrashid prevalenceandpredictorsofroadcrashinvolvementamongmedicaldoctorsinmalaysiaacrosssectionalstudyprotocol
AT halidahmohdyusof prevalenceandpredictorsofroadcrashinvolvementamongmedicaldoctorsinmalaysiaacrosssectionalstudyprotocol
AT fauzanmustapha prevalenceandpredictorsofroadcrashinvolvementamongmedicaldoctorsinmalaysiaacrosssectionalstudyprotocol
AT shawvoonwong prevalenceandpredictorsofroadcrashinvolvementamongmedicaldoctorsinmalaysiaacrosssectionalstudyprotocol
AT ahmadfilzaismail prevalenceandpredictorsofroadcrashinvolvementamongmedicaldoctorsinmalaysiaacrosssectionalstudyprotocol
AT khairilidhamismail prevalenceandpredictorsofroadcrashinvolvementamongmedicaldoctorsinmalaysiaacrosssectionalstudyprotocol
AT ahmadmunirqureshi prevalenceandpredictorsofroadcrashinvolvementamongmedicaldoctorsinmalaysiaacrosssectionalstudyprotocol
AT ruslibinnordin prevalenceandpredictorsofroadcrashinvolvementamongmedicaldoctorsinmalaysiaacrosssectionalstudyprotocol