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Fulltext Perceived Barriers and Facilitators for Return to Work Among Colorectal Cancer Survivors: Malaysian Healthcare Professionals Experience-　A Qualitative Inquiry

Chow SL, Loh SY, Su TT

J. UOEH, 2015 Jun 1;37(2):127-38.
PMID: 26073502 DOI: 10.7888/juoeh.37.127

Return to work (RTW) can be a challenging occupational health (OH) issue among previously-employed colorectal cancer survivors. This study aimed to explore the various perceived barriers and facilitators encountered during the RTW process in cancer survivorship, from the perception of healthcare professionals (HCP). Face to face, semistructured interviews were carried out on twelve HCP (government and private sectors) from various disciplines. Data collected were transcribed verbatim and data management was aided by NVivo software 8.0. A new theory from contextual data was generated using open coding, axial coding and selective coding. The HCP shared numerous barriers and facilitators associated with RTW, under four categories. The key barriers were disturbing side effects, psychological barriers (personal factor), compensation (financial factor), poor ability to multitask (work-related factor), long paid medical leaves policy, employer's lackadaisical attitude, lack of knowledge and awareness of RTW (environmental factor). Key facilitators identified were desire to resume working life and to contribute to society (personal factor), financial pressure, maintain organizational health insurance (financial factor), less physically demanding job (work-related factor), supportive workplace and strict organizational policy on medical leaves (environmental factor). While not all HCP were trained in RTW, they all agreed that RTW is important for survivors and workplace. Occupational health doctors have a direct role in helping survivors RTW. Early Intervention on RTW during survivorship should involve occupational health doctors and employers, targeting the modifiable factors (environmental and work-related) to improve RTW after cancer.

Matched MeSH terms: Return to Work/statistics & numerical data*
Return-to-work program for injured workers: factors of successful return to employment

Awang H, Shahabudin SM, Mansor N

Asia Pac J Public Health, 2016 Nov;28(8):694-702.
PMID: 27022093 DOI: 10.1177/1010539516640354

This study examined the factors of successful return to employment among participants in the return to work program (RTW) following work-related injury. Data were obtained from the Social Security Organization database containing 9850 injured workers who underwent RTW in 2010 to 2013. About 65% had successfully returned to employment. Significant factors of successful return include gender, employer interest, motivation, age, intervention duration, and type of injury. Male and motivated employees were more likely to return to employment compared with female and unmotivated employees, respectively. Participants from interested employers were 23.22 times more likely to return to work than those from uninterested employers, whereas participants whose intervention period exceeded 5 months were 41% less likely to return to work compared with those whose intervention period was within 3 months. Appropriate strategy and enhanced collaboration between the stakeholders would improve the proportion of successful return to employment.
Keyword: SOCSO

Matched MeSH terms: Return to Work/statistics & numerical data*
Breast cancer survivors: return to work and wage loss in selected hospitals in Malaysia

Su TT, Azzani M, Tan FL, Loh SY

Support Care Cancer, 2018 May;26(5):1617-1624.
PMID: 29209834 DOI: 10.1007/s00520-017-3987-y

PURPOSE: This study aimed, firstly, to assess the determinants of return to work (RTW), secondly, to explore the amount of annual wage loss, and finally, to discover the determinants of wage loss among breast cancer (BC) survivors.
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.

Matched MeSH terms: Return to Work/statistics & numerical data
Predicting return to work following a cardiac event in Malaysia

Mustafah NM, Kasim S, Isa MR, Hanapiah FA, Abdul Latif L

Work, 2017;58(4):481-488.
PMID: 29254131 DOI: 10.3233/WOR-172646

BACKGROUND: Return to work is an important aspect for cardiac rehabilitation following a major cardiac event.
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.

Matched MeSH terms: Return to Work/statistics & numerical data*
Fulltext Work related injury and illness: exploring the return-to-work program in Malaysia

Awang H, Mansor N, Rodrigo SK

Southeast Asian J. Trop. Med. Public Health, 2015 Nov;46(6):1124-33.
PMID: 26867371

Illness and injury have a significant impact on employees, their families and employers. The consequences faced by an injured worker could lead to disability, which could then lead to inability to work. This study examined the patterns of the Return to Work (RTW) using data from The Social Security Organisation (SOCSO) of Malaysia RTW database from 2010 to 2013. Factors of successful return to work, employees' salary upon returning to formal employment were also investigated. Gender, age, year of injury, industry, and job hierarchy were found to be significant predictors of employees' salary upon returning to work. Although there are other costs involved on the part of employers and employees, themselves, in the long term the financial returns that can be brought back by injured workers who have successfully returned to work combined with the qualitative benefits substantially outweighs the costs of RTW program.

Matched MeSH terms: Return to Work/statistics & numerical data*