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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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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. |
format | Online Article Text |
id | pubmed-7333866 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
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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