The Prevalence of Road Crash Involvement and Its Associated Factors Among Medical Doctors in Malaysia

Overview

This study mainly to investigate the prevalence of road crash involvement and its associated factors (fatigue, demographic factors, sleep quality, and mental health status, number of working hours) among medical doctors in Malaysia.

The incidence reports of road crash involvement among medical doctors in Malaysia have steadily increased in frequency by 28%. Despite the gravity of the situation, there is an obvious absence of further information regarding the causes of such occurrence. A deeper look into literature regarding the phenomenon worldwide indicates that the prevalence of road crash involvement among doctors are less reported on, much less the factors associated with it. hence, investigators constructed a research to investigate the prevalence of road crash involvement and its associated factors (fatigue, demographic factors, sleep quality, and mental health status, number of working hours) among medical doctors in Malaysia. It is a cross sectional study where the study population consists of Malaysian Medical Association (MMA) members who are fully or partially registered with the Malaysian Medical Council (MMC) and their contacts. Respondents will be selected via non probability random sampling among MMA registered member list and their network. The sample will be doctors who are partially or fully registered with the Malaysian Medical Council and following the inclusion and exclusion criteria. The participants who are eligible will need to answer via an online survey link. Inclusion criteria * Malaysian citizen * Full or partial registration with MMC * Work a minimum of six (6) months in public healthcare sector in Malaysia. Doctors who have just been working for less than six months are still adapting to the duties and atmosphere of the hospital, and the responsibilities they hold are also different from those of a senior doctor making them not suitable to include in this study. Exclusion criteria * Medical doctors currently on a long leave. As investigators only have a short period of data collection, so investigators will exclude this group of subject. * Does not self-commute to work CALCULATED SAMPLE SIZE = 288. This study will be in collaboration with Malaysian Medical Associations (MMA) on recruiting sample for this research along with other medical NGOs. MMA will help in dissemination of information throughout their website as well as distribute/email the questionnaires to all MMA members and their contacts. The questionnaire will be created by using Google Form and then saved on Google Drive. Then MMA will share the form to all their members through email. All responses will be saved in the file stored in Google Drive. Once enough sample acquired, the form will be closed and results will be download for data analysis. Data entry and analysis will be undertaken by using the 'Statistical Package for Social Sciences' (SPSS) programme, Version 22.0. The statistical significance level is taken at the p value \<0.05 with 95% of confidence intervals (CI). The continuous variables will be summarised by using means and standard deviation (SD) and predominantly categorised as required and presented as the number (n) and percentage (%). The statistics analysis will utilise the Pearson Chi-square test for obtaining the statistical difference of the categorical variables. Lastly, logistic regression analysis will be used to describe the strength of association between the outcome and factors of interest, adjusting for covariates or confounders. It also allows one to determine the important factors affecting the outcome and generate the final model for the factors being studied as the predictor for the outcomes. Study Instrument: Questionnaire/scoring \& Pilot study This study's approval for ethical clearance will be obtained from Medical Research Ethics Committee (MREC), "University Putra Malaysia" (UPM). Informed consent will be obtained from each study participant and it will be stated at the beginning of the questionnaire.

Conditions

Eligibility

Locations (1)

Outcomes