Objectives: We explored the perceptions and practices related to the use of radioprotective garments among medical radiation workers in public hospitals, and sought to understand the reasons for non-adherence.
Design and setting: A qualitative approach was applied by conducting face-to-face in-depth interviews with 18 medical radiation workers from three university hospitals using a semi-structured interview guide.
Results: Five themes emerged with respect to perceptions on the use of radioprotective garments: (i) the dilemmas in practising radiation protection, (ii) indication of workers' credibility, (iii) physical appearance of radioprotective garments, (iv) practicality of radioprotective garment use, and (v) impact on workflow. Actual lack of radioprotective garment use was attributed to inadequate number of thyroid shield and other garments, radioprotective garments' unsightly appearance including being dirty and defective, impracticality of using radioprotective garments for some nuclear medicine procedures, disruption of workflow because of workers' limited movements, attitudes of workers, and organisational influences.
Conclusion: Medical radiation workers demonstrated a definitive practice of using radioprotective aprons, but often neglected to use thyroid shields and other garments. Availability and hygiene are reported as the core issues, while unclear guidelines on practical use of radioprotective garments appear to lead to confusion among medical radiation workers. To the best of our knowledge, this is the first qualitative study of its kind from a middle-income Asian setting.
METHODS: A cross-sectional study was conducted among N = 271 primary care physicians from 86 primary care practices throughout two states in Malaysia. Questionnaires used were specifically developed based on the TPB, consisting of both direct and indirect measures related to the provision of sickness leave. Questionnaire validity was established through factor analysis and the determination of internal consistency between theoretically related constructs. The temporal stability of the indirect measures was determined via the test-retest correlation analysis. Structural equation modelling was conducted to determine the strength of predictors related to intentions.
RESULTS: The mean scores for intention to provide patients with sickness was low. The Cronbach α value for the direct measures was good: overall physician intent to provide sick leave (0.77), physician attitude towards prescribing sick leave for patients (0.77) and physician attitude in trusting the intention of patients seeking sick leave (0.83). The temporal stability of the indirect measures of the questionnaire was satisfactory with significant correlation between constructs separated by an interval of two weeks (p
OBJECTIVE: This study examined the performance of 3 ML algorithms in comparison with logistic regression (LR) to predict overweight or obesity status among working adults in Malaysia.
METHODS: Using data from 16,860 participants (mean age 34.2, SD 9.0 years; n=6904, 41% male; n=7048, 41.8% with overweight or obesity) in the Malaysia's Healthiest Workplace by AIA Vitality 2019 survey, predictor variables, including sociodemographic characteristics, job characteristics, health and weight perceptions, and lifestyle-related factors, were modeled using the extreme gradient boosting (XGBoost), random forest (RF), and support vector machine (SVM) algorithms, as well as LR, to predict overweight or obesity status based on a BMI cutoff of 25 kg/m2.
RESULTS: The area under the receiver operating characteristic curve was 0.81 (95% CI 0.79-0.82), 0.80 (95% CI 0.79-0.81), 0.80 (95% CI 0.78-0.81), and 0.78 (95% CI 0.77-0.80) for the XGBoost, RF, SVM, and LR models, respectively. Weight satisfaction was the top predictor, and ethnicity, age, and gender were also consistent predictor variables of overweight or obesity status in all models.
CONCLUSIONS: Based on multi-domain online workplace survey data, this study produced predictive models that identified overweight or obesity status with moderate to high accuracy. The performance of both ML-based and logistic regression models were comparable when predicting obesity among working adults in Malaysia.
Materials and Methods: A total of 11,356 working adults (≥18 years) were recruited from a cross-sectional online health and work survey. Sleep duration was self-reported and was categorised as insufficient sleep (<7 h) and sufficient sleep (≥7 h) based on the National Sleep Guidelines' daily sleep time recommendation for adults. The 10-item Kessler scale was used to assess psychological distress levels (cutoff score ≥20). Bivariate and multivariable regression analyses were performed to examine the factors associated with insufficient sleep.
Results: The mean age of the participants was 35.7 years (standard deviation, SD±9.2). There were more female (n=6613; 58.2%) respondents. The mean sleep duration was 6.49 h (SD±1.10). A total of 6212 individuals (54.7%) reported getting <7 h of sleep daily. After adjusting for gender, marital status and educational attainment, older age (odds ratio, OR=2.22, 95% confidence interval, 95% CI: 1.72-2.86), ever smoking (OR=1.38, 95% CI: 1.25-1.53), and high psychological distress (OR=1.33, 95% CI: 1.17-1.53) were found to be associated with insufficient sleep. Factors associated with sleep duration of <7 h per night included having children (OR=1.35, 95% CI: 1.21-1.50), lifestyle factors (OR=1.38, 95% CI: 1.25-1.53), poor sleeping conditions (OR=1.21, 95% CI: 1.07-1.36), and mental health issues (OR=1.32, 95% CI: 1.12-1.54).
Discussion and Conclusion: More than half of the participants reported sleep insufficiency. Older age, ever smoking, and high levels of psychological distress were significantly associated with insufficient sleep. Our findings recognise sleep as an emerging public health issue. Smoking cessation programmes and addressing high psychological distress may be beneficial to improve sleep.
METHODS: The Question, Persuade, Refer program materials were translated and adapted for implementation in the hospital setting for nonpsychiatric health professionals. There were 159 (mean age = 35.75 years; SD = 12.26) participants in this study. Most participants were female (84.9%), staff/community nurses (52.2%), who worked in the general medical department (30.2%) and had no experience managing suicidal patients (64.2%). Intervention participants (n = 53) completed a survey questionnaire at pretraining, immediately after training, and after three months. Control participants (n = 106) were not exposed to the training program and completed the same questionnaire at baseline and three months later.
RESULTS: Significant improvement occurred among intervention participants in terms of perceived knowledge, self-efficacy, and understanding of/willingness to help suicidal patients immediately after training and when compared with the control participants 3 months later. Improvements in declarative knowledge were not maintained at the 3-month follow-up.
DISCUSSION: This study confirmed the short-term effectiveness of the gatekeeper training program. Gatekeeper suicide training is recommended for implementation for nonpsychiatric health professionals nationwide.
METHODS: Cross sectional analyses of N = 345 adult cancer survivors (5 years post cancer diagnosis) attending follow-ups at University Malaya Medical Centre, Malaysia. Face-to face-interviews were conducted using the 30-item Cancer Health Literacy Test and the Patient-Practitioner Orientation Scale to determine preference for patient-centered care.
RESULTS: Cancer survivors' preference for patient-centered care was associated with a higher cancer health literacy score, higher educational level, being employed, breast cancer diagnosis, and not desiring psychological support [F (14, 327) = 11.25, p