Predictors of Intershift Fatigue Recovery Among Doctors

Introduction: Doctors are exposed to various psychosocial hazards such as high task demands and demanding work schedule which may influence fatigue, recovery, stress, job satisfaction, wellbeing, and work-family interface. This research generally aims to examine the interrelationship between work-home domain variables with outcomes of fatigue, its recovery, and others related outcomes such as work-to-family conflict, general wellbeing, and perceived stress level among doctors working at public hospital at general and day-level on-call duty. Methods: This is a multicenter analytical mix cross sectional (general) and longitudinal (day-level) research among proposed 390 randomly-sampled on-call doctors working at seven core clinical disciplines from seven public tertiary hospitals in Malaysia. Data will be collected three times: (a) any days after obtaining informed consent (cross sectional), (b) at the end of on-call duty (first wave longitudinal), and (c) at the beginning of subsequent work period (second wave longitudinal). Data will be modelled by covariance-based structural equation modelling (SEM). Conclusion: This research is well justifiable in view of limited available research on complex interrelationship of work domain, home domain and work-home boundary control with fatigue, recovery and other psychological health consequences (e.g. stress, wellbeing, work-home conflict) among doctors, particularly in Asia and developed countries, including Malaysia. This research is expected to provide strong evidence to policy makers in developing prevention and management policy related to fatigue, recovery and other psychological health consequences among doctors. Keywords: doctor, fatigue, recovery, on-call, intershift, wellbeing, stress

Development and validation of Work-Related Activities during Non-Work Time Scale (WANTS) for doctors.

Work-related activities during non-work time may influence the intershift recovery of post-work fatigue. Currently there is no valid and reliable scale available to measure the frequency for such activities among doctors. Therefore, this study aims to develop and validate 'Work-Related Activities during Non-Work Time Scale' (WANTS) that measure the frequency of work-related activities during non-work time for doctors. This was a scale development and validation study among doctors involving item generation, content and construct validation, and reliability assessment. 23-item seven-point Likert-type scale was developed through deductive (literature search) and inductive (interview with source population, authors' experiences, and expert opinion) methods. The content-validated scale was pre-tested, and the improved scale was subsequently administered to randomly-selected 460 doctors working at public hospital setting. Response rate was 77.76% (n = 382). Initial exploratory factor analysis (EFA) with principal axis factoring (PAF) using varimax rotation revealed unstable six-factor structure consisting of 17 variables; thus, we tested one- to six-factor model, and found that four-factor model is the most stable. Further analysis with principal component analysis (PCA) with a single component on each factor found that 17-variables four-factor model is stable. These factors were labelled as 'work-related thought', 'work-to-home conversation', 'task spillover' and 'superior-subordinate communication'. It showed good internal consistency with overall alpha value of 0.837. The scale is thus valid and reliable for measuring the frequency of each construct of work-related activities during non-work time among doctors

Development and evaluation of a scale to measure nurses’ unsafe driving behaviour while commuting

Driving is the most prevalent form of commuting for most workers but is also perhaps the most hazardous mode of travel with unsafe driving contributing significantly to road traffic accidents. Despite nurses having been reported as being at higher risk of commuter-related accidents over the last three decades, little is known about unsafe driving behaviours among nurses while commuting, which is unique from other driving routines. Additionally, the lack of appropriate tools to measure such behaviours is apparent. This study aims i) to identify unsafe driving behaviours among nurses while commuting and ii) to develop a scale to assess nurses' unsafe commuting driving behaviours. The study employed a multiphase and multimethod approach to develop the scale, which was subject to stringent validation and evaluation. Themes were specified via the Nominal Group Technique (NGT). Six themes were identified namely: i) violations and reckless driving, ii) negative emotions, iii) drowsy driving iv) mind wandering, v) error and vi) carelessness. Content and face validity were sought through expert review. A total of 442 nurses’ data were collected across multisite hospitals for evaluation. Exploratory factor analysis (EFA) resulted in recovered structure and was confirmed through Confirmatory Factor Analysis (CFA) with structural equation analyses being conducted to test predictive validity. All constructs met adequate validity and reliability. Nurses' unsafe driving behaviours while commuting were identified with a novel scale to assess them being both developed and validated. The resulting MyUDWC scale is a suitable tool for measuring nurses' unsafe driving behaviours while commuting

Doctors’ Mental Health in the Midst of COVID-19 Pandemic: The Roles of Work Demands and Recovery Experiences

The COVID-19 pandemic potentially increases doctors’ work demands and limits their recovery opportunity; this consequently puts them at a high risk of adverse mental health impacts. This study aims to estimate the level of doctors’ fatigue, recovery, depression, anxiety, and stress, and exploring their association with work demands and recovery experiences. This was a cross-sectional study among all medical doctors working at all government health facilities in Selangor, Malaysia. Data were collected in May 2020 immediately following the COVID-19 contagion peak in Malaysia by using self-reported questionnaires through an online medium. The total participants were 1050 doctors. The majority of participants were non-resident non-specialist medical officers (55.7%) and work in the hospital setting (76.3%). The highest magnitude of work demands was mental demand (M = 7.54, SD = 1.998) while the lowest magnitude of recovery experiences was detachment (M = 9.22, SD = 5.043). Participants reported a higher acute fatigue level (M = 63.33, SD = 19.025) than chronic fatigue (M = 49.37, SD = 24.473) and intershift recovery (M = 49.97, SD = 19.480). The majority of them had no depression (69.0%), no anxiety (70.3%), and no stress (76.5%). Higher work demands and lower recovery experiences were generally associated with adverse mental health. For instance, emotional demands were positively associated with acute fatigue (adj. b = 2.73), chronic fatigue (adj. b = 3.64), depression (adj. b = 0.57), anxiety (adj. b = 0.47), and stress (adj. b = 0.64), while relaxation experiences were negatively associated with acute fatigue (adj. b = −0.53), chronic fatigue (adj. b = −0.53), depression (adj. b = −0.14), anxiety (adj. b = −0.11), and stress (adj. b = −0.15). However, higher detachment experience was associated with multiple mental health parameters in the opposite of the expected direction such as higher level of chronic fatigue (adj. b = 0.74), depression (adj. b = 0.15), anxiety (adj. b = 0.11), and stress (adj. b = 0.11), and lower level of intershift recovery (adj. b = −0.21). In conclusion, work demands generally worsen, while recovery experiences protect mental health during the COVID-19 pandemic with the caveat of the role of detachment experiences