Prevalence of work-related musculoskeletal and non-musculoskeletal injuries in health care workers: the implications for work disability management

To compare the prevalence of musculoskeletal and non-musculoskeletal injuries in a cohort of workers in Manitoba health care sector, who made injury claims between 2002 and 2012. A retrospective study, using secondary data from WCB Manitoba. Logistic regression was used to determine odds ratios for nature of work-related injuries among different groups of workers. Idiopathic work-related musculoskeletal disorders (WMSD) constituted 74.6% of all the injury claims. Injury risks varied between worker groups, and a significant difference was found within the female group, χ² = 13.4, p = 0.0094, but not among the males. Compared to the married, single workers were more likely to experience traumatic than idiopathic injuries (OR = 1.72, CI, 1.28, 2.29), and much higher risk of traumatic injuries than non-WMSD (OR = 1.93, CI, 1.31, 2.84). Work-related injury risks vary significantly across occupations and worker groups, with idiopathic injuries being higher in high physical tasks. Practitioner Summary: To compare musculoskeletal and non-musculoskeletal injuries among workers in health care sector, and explore the implications for work disability management. Retrospective study, using workers' compensation claims data. The risk of idiopathic work-related musculoskeletal disorders continue to be high compared to traumatic and non-musculoskeletal disorders, particularly in tasks that involved high physical activities.

Risk Profiles for Four Types of Work-Related Injury among Hospital Employees

In this retrospective case-control study, researchers examined risk factors for four types of work-related injury (WRI) in hospital employees. Data were collected from employee health charts and computer databases ( N = 2050) and analyzed using logistic regression. Study results showed that strain injuries were related to increased age, increased body mass index (BMI), and maintenance, custodial, and direct-caregiver employment types. Repetitive motion injuries were related to increased BMI and clerical and custodial employment types. Exposure/reaction injuries were related to increased age, increased BMI, and maintenance, custodial, and direct-caregiver employment types. Contact/assault injuries were related to increased age, increased BMI, and maintenance, custodial, and direct-caregiver employment types. All injury types were most often related to female gender and full-time employment status. Reformulating policies to improve screening, prevention, and education for those at risk for certain injury types may limit WRI occurrences and costs.

Factors Associated with Work-Related Injury among Hospital Employees

The Central Arkansas Veterans Healthcare System (CAVHS) spends $1 million annually on occupational illnesses and injuries. To address the problem of injuries among hospital employees, a retrospective case-control study was conducted to examine select risk factors for work-related injuries (WRI) among CAVHS employees. Study methods included a review of employee health charts and computer and manual databases from 1997 to 2002 ( N = 2,050). The researchers found that WRI increased with age; WRI occurred more often in women than in men; WRI was greater among maintenance and custodial staff compared to direct caregivers, and less among clerical staff; WRI occurred less often in part-time than full-time staff; and WRI increased with increasing body mass index. Developing standards, guidelines, and policies for preplacement screening, preventive measures, training, and education may help to minimize WRI and associated costs.

Prevalence of Injury in Occupation and Industry: Role of Obesity in the National Health Interview Survey 2004 to 2013

OBJECTIVES

The aim of this study was to estimate prevalence of injury by occupation and industry and obesity's role.

METHODS

Self-reported injuries were collected annually for US workers during 2004 to 2013. Prevalence ratios (PRs) and 95% confidence intervals (CIs) were obtained from fitted logistic regression models.

RESULTS

Overall weighted injury prevalence during the previous three months was 77 per 10,000 workers. Age-adjusted injury prevalence was greatest for Construction and Extraction workers (169.7/10,000) followed by Production (160.6) among occupations, while workers in the Construction industry sector (147.9) had the highest injury prevalence followed by the Agriculture/Forestry/Fishing/Mining/Utilities sector (122.1). Overweight and obese workers were 26% to 45% more likely to experience injuries than normal-weight workers.

CONCLUSION

The prevalence of injury, highest for Construction workers, gradually increased as body mass index levels increased in most occupational and industry groups.

Associations between work schedule characteristics and occupational injury and illness

BACKGROUND

Nurses often endure working irregular day, night and evening shifts as well as mandatory overtime (i.e. employer-imposed work time in excess of one's assigned schedule). While these work characteristics are examined as potential risks for nurses' safety and health, it is not clear whether negative health impacts occur simply because of working long hours or in combination with other mechanisms.

AIM

This study investigates how these work characteristics are associated with nurses' work-related injury and illness over and above long work hours.

METHODS

In this cross-sectional study, questionnaire data were collected from a sample of 655 registered nurses in the Philippines. Multiple logistic regression was used to assess associations of shift work and mandatory overtime with four work-related health outcomes.

RESULTS

After weekly work hours, shift length and demographic variables were accounted for, non-day shifts were associated with work-related injury [odds ratio (OR) = 1.54; 95% confidence interval (CI): 1.07, 2.24] and work-related illness (OR = 1.48; 95% CI: 1.02, 2.16). Also, frequency of working mandatory overtime was associated with work-related injury (OR = 1.22; 95% CI: 1.06, 1.41), work-related illness (OR = 1.19; 95% CI: 1.04, 1.37) and missing more than 2 days of work because of a work-related injury or illness (OR = 1.25; 95% CI: 1.08, 1.44).

CONCLUSIONS

These findings suggest that non-day shifts and mandatory overtime may negatively impact nurses' health independent of working long hours. Mechanisms through which these work characteristics affect health, such as circadian rhythm disturbance, nurse-to-patient ratios and work-family conflict, should be examined in future studies.

Work, obesity, and occupational safety and health

There is increasing evidence that obesity and overweight may be related, in part, to adverse work conditions. In particular, the risk of obesity may increase in high-demand, low-control work environments, and for those who work long hours. In addition, obesity may modify the risk for vibration-induced injury and certain occupational musculoskeletal disorders. We hypothesized that obesity may also be a co-risk factor for the development of occupational asthma and cardiovascular disease that and it may modify the worker's response to occupational stress, immune response to chemical exposures, and risk of disease from occupational neurotoxins. We developed 5 conceptual models of the interrelationship of work, obesity, and occupational safety and health and highlighted the ethical, legal, and social issues related to fuller consideration of obesity's role in occupational health and safety.

Measuring the physical demands of work in hospital settings: design and implementation of an ergonomics assessment

BACKGROUND

Assessing the physical demands of the heterogeneous jobs in hospitals requires appropriate and validated assessment methodologies.

METHODS

As part of an integrated assessment, we adapted Rapid Entire Body Assessment (REBA), using it in a work sampling mode facilitated by a hand-held personal digital assistant, expanding it with selected items from the UC Computer Use Checklist, and developed a scoring algorithm for ergonomics risk factors for the upper (UB) and lower body (LB).

RESULTS

The inter-rater reliability kappa was 0.54 for UB and 0.66 for LB. The scoring algorithm demonstrated significant variation (ANOVA p<0.05) by occupation in anticipated directions (administrators ranked lowest; support staff ranked highest on both scores). A supplemental self-assessment measure of spinal loading correlated with high strain LB scores (r=0.30; p<0.001).

CONCLUSION

We developed and validated a scoring algorithm incorporating a revised REBA schema adding computer use items, appropriate for ergonomics assessment across a range of hospital jobs.