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Prevalence and predictors of road crash involvement among medical doctors in Malaysia: a cross-sectional study protocol
  1. Aneesa Abdul Rashid1,2,3,
  2. Navin Kumar Devaraj1,3,
  3. Halidah Mohd Yusof1,
  4. Fauzan Mustapha1,
  5. Shaw Voon Wong4,
  6. Ahmad Filza Ismail5,
  7. Khairil Idham Ismail2,6,
  8. Ahmad Munir Qureshi7,
  9. Rusli Bin Nordin2,8
  1. 1Department of Family Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia
  2. 2Department of Research, Islamic Medical Association Malaysia, Cheras, Malaysia
  3. 3Malaysian Research Institute On Ageing (MYAGEING), Universiti Putra Malaysia, Serdang, Selangor, Malaysia
  4. 4Mechanical and Manufacturing Engineering, Universiti Putra Malaysia, Serdang, Malaysia
  5. 5Department of Community Medicine, Universiti Sains Malaysia - Kampus Kesihatan, Kubang Kerian, Malaysia
  6. 6Non-Communicable Disease (NCD) Unit, Putrajaya District Health Office, Ministry of Health Malaysia, Putrajaya, Malaysia
  7. 7Visiting Faculty, Al-Shifa School of Public Health, Rawalpindi, Pakistan
  8. 8Faculty of Health and Medical Sciences, School of Medicine, Taylor's University, Subang Jaya, Malaysia
  1. Correspondence to Dr Aneesa Abdul Rashid; aneesa{at}upm.edu.my

Abstract

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.

  • public health
  • occupational & industrial medicine
  • health & safety
  • protocols & guidelines
http://creativecommons.org/licenses/by-nc/4.0/

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Footnotes

  • Contributors Study design: AAR, NKD, RBN, AFI, AMQ, KII and SVW. Drafting the work and revising critically for important intellectual content: AAR, NKD, FM, RBN and HMY. Final approval of the version to be published: AAR, NKD, RBN, AFI, AMQ, KII, SVW, FM and HMY.

  • Funding This study is funded by the Ministry of Education Malaysia and Universiti Putra Malaysia (UPM). Grant no: FRGS/1/2018/SKK01/UPM/03/1.

  • Competing interests None declared.

  • Patient consent for publication Not required.

  • Provenance and peer review Not commissioned; externally peer reviewed.