METHOD: A retrospective analyses of 370 medical reports written for patients who sustained traumatic brain injury from motor vehicle accidents was conducted. To establish the employment pattern, the pre-injury employment history was compared to the latest employment status documented. Types and severity of concomitant injuries were rated according to Abbreviated Injury Scale criteria. All significant variables were further analyzed using logistic regression to explore predictors of employment.
RESULTS: Up to 87% of the patients sustained concomitant injuries, with more than two-thirds (72%) scoring ≤ 2 on the Abbreviated Injury Scale. One hundred and eighty-two patients (49.2%) successfully returned to work. Among those who returned to work, 34% returned to former employment with pre-injury job description. Severity of traumatic brain injury, length of acute hospital stay, ambulation status and cognitive status were found to be significant predictive factors for employment status post traumatic brain injury. Presence of concomitant extremity injuries was found to influence the employment pattern among traumatic brain injury survivors.
CONCLUSION: The return to work rate was somewhat low and was not influenced by presence of concomitant injuries. .
METHODS: Focus group discussions were conducted with cancer patients who were diagnosed at least 1 year prior to recruitment, and either had paid work, were self-employed, currently unemployed, or currently retired (N = 66).
RESULTS: Three main themes were identified: (1) loss of income: While some participants were entitled for a 1-year cancer-specific sick leave, many other participants recounted having insufficient paid sick leave, forcing them to take prolonged unpaid leave to complete treatment; (2) dealing with side effects of cancer and its treatment: The need for workplace accommodations was highlighted including flexible working hours, lighter workloads, and dedicated rest areas to enable patients to cope better; (3) Discrimination and stigma at workplace: Some participants mentioned being passed over on a promotion, getting demoted, or being forced to resign once their cancer diagnosis was disclosed, highlighting an urgent need to destigmatize cancer in the workplace.
CONCLUSION: In settings with limited employment protection policies, a cancer diagnosis severely impacts the working experiences of patients, leading to financial loss. Urgent interventions and legislative reforms are needed in these settings to address the unmet employment needs of cancer survivors.
IMPLICATIONS FOR CANCER SURVIVORS: This study may facilitate planning of local solutions to fulfill the unmet employment needs following cancer, such as return-to-work navigation services.
METHODS: A cross-sectional study design was used in this research. The data was collected via interview using a validated questionnaire. Logistic regression models were developed to discover the significant determinants of RTW and of wage loss among BC survivors.
RESULTS: A total of 256 BC survivors were included in this study. The analysis showed that there was a 21% loss of or reduction in mean income within 1 year after diagnosis. The significant predictors of RTW are being a government employee, having reduced wages or wage loss, and if the case had been diagnosed 1 year or more ago. Being a private sector employee and having a late stage of cancer was a barrier to RTW. The main risk factors for reduced wages or wage loss were belonging to the age group of 40-59 years, being of Chinese or Indian ethnicity, having low educational status, and not returning to work. However, belonging to the higher monthly income group (earning > RM 2000) is a protective factor against the risk of reduced wages or wage loss.
CONCLUSIONS: Non-RTW and wage loss after diagnosis of BC may result in the survivors experiencing a significant financial burden. Assessment of these patients is becoming more crucial because more women participate in the workforce in Malaysia nowadays and because BC is managed using multiple treatment modalities with their consequences could lead to long absences from work.
METHODS: Secondary data for 9,850 participants were obtained from the Social Security Organisation Return To Work database. The dependent variable was the Return To Work programme outcome, successful return to employment (same employer or different employer) or unsuccessful return. Logistic regression analysis with weighted sum contrasts was performed to assess the odds ratios with 95% confidence interval (95% CI) for successful return to employment across the various subgroups of participants.
RESULTS: Overall, 65.5% of participants successfully returned to employment, either with their former employers or with new employers. Successful return to employment was found to be significantly higher than the overall proportion among those participants who had had commuting accidents, followed by those who had had workplace accidents. Successful return to employment was also associated with injuries of the upper and lower limbs, employers who were interested in hiring disabled workers, motivation to participate in the programme, an intervention period of 3 months or less, age 29 years or younger, and male participants.
CONCLUSION: A structured multidisciplinary intervention programme provides a positive outcome in terms of returning to work. Related factors have various impacts on successful return to work.
SUBJECTS: Patients who were admitted to the University of Malaya Medical Centre due to cardiac events.
METHODS: Eight different machine learning models were evaluated. The models included 3 different sets of features: full features; significant features from multiple logistic regression; and features selected from recursive feature extraction technique. The performance of the prediction models with each set of features was compared.
RESULTS: The AdaBoost model with the top 20 features obtained the highest performance score of 92.4% (area under the curve; AUC) compared with other prediction models.
CONCLUSION: The findings showed the potential of using machine learning models to predict return to work after cardiac rehabilitation.
OBJECTIVES: (1) To compare hand function characteristics and functional abilities of injured workers who have or have not returned to work. (2) To estimate hand function characteristics and functional abilities as predictors to return to work.
METHODS: One hundred and fifteen adult workers with hand injuries aged 18- 59 years old from five general hospitals in Malaysia participated in a cross-sectional study. Predictors were estimated using logistic regression.
RESULTS: There was a significant association between occupational sector (p = 0.012), injury duration (p = 0.024), occupational performance (p = 0.009) and satisfaction with performance (p return to work status. Significant predictors of return to work were identified using the Canadian Occupational Performance Measure (COPM) satisfaction's score, DASH disability/symptoms' score and duration of the injury.
CONCLUSION: As two main predictors of return to work were COPM satisfaction and DASH disability/symptoms, occupational therapists working in rehabilitation should focus on achieving functional performance and satisfaction within the optimal time.
OBJECTIVE: The aim was to understand the local prevalence and factors associated with returning to work in Malaysia after a cardiac event.
METHODS: A cross sectional design was used. All patients attending the cardiac rehabilitation program after major cardiac event during an 11-months period (2011-2012) were included. Data relating to socio-demographic, work-related, risk factors and acute myocardial infarction were collected. The SF-36 questionnaire was used to assess quality of life. Regression analysis was used to determine the predicting factors to return to work.
RESULTS: A total of 398 files were screened, 112 respondents agreed to participate giving a response rate of 47.3%. The prevalence of returned to work (RTW) was 66.1% [95% CI: 57.2-75.0]. Factors associated with work resumption were age (Adj. OR: 0.92 (95% CI: 0.84-0.99), diabetes mellitus (Adj. OR: 3.70, 95% CI: 1.35-10.12), Mental Component Summary (MCS) score (Adj. OR: 1.05 (95% CI: 1.01-1.09) and baseline angiography findings. Patients with single vessel and two vessel disease were 8.9 times and 3.78 times more likely to return to work compared to those with 3 vessels (Adj. OR: 8.90 (95% CI: 2.29-34.64) and Adj. OR: 3.78, (95% CI: 1.12, 12.74).
CONCLUSIONS: We proposed a cardiac rehabilitation program to emphasize mental health as it may improve successful return to work after cardiac event.
METHODS: We conducted a retrospective case review of pilots diagnosed with CAD at the Institute of Aviation Medicine (IAM), Royal Malaysian Air Force (RMAF) in October 2020.
RESULTS: Thirteen cases of CAD were included in the review. Ten pilots were diagnosed after developing acute coronary syndrome; the remaining three pilots were diagnosed during a routine medical examination via an exercise stress test. Twelve pilots required a revascularization procedure. A total of 11 pilots (84.6%) were recertified for flying duties, while another two were disqualified. The duration to recertification for these 11 pilots was between three months and one year.
CONCLUSIONS: The risk assessment was initiated with initial risk-stratification using population-appropriate risk calculator combined with the 4 × 4 aeromedical risk matrix. The reassessment of return to flying after coronary artery disease must be carried out no sooner than six months after the event. Pilots must be hemodynamically stable with no evidence of significant inducible ischemic left and a minimum 50% of ventricular ejection fraction (LVEF). A follow-up is recommended at the initial six months after recertification and then annually with a routine noninvasive cardiac assessment.