| Literature DB >> 25830063 |
Gillian Jordan1, Behnam Nowrouzi-Kia2, Basem Gohar3, Behdin Nowrouzi3.
Abstract
Time-loss injuries are still a major occurrence in Canada, injuring thousands of Canadian workers each year. With obesity rates on the rise across the country, as well as around the world, it is important that the possible effects of obesity in the workplace be fully understood, especially those effects linked to lost-time injuries. The aim of this paper was to evaluate predictors of workplace lost-time injuries and how they may be related to obesity or high body mass index by examining factors associated with lost-time injuries in the health care sector, a well-studied industry with the highest number of reported time loss injuries in Canada. A literature review focusing on lost-time injuries in Registered Nurses (RNs) was conducted using the keywords and terms: lost time injury, workers' compensation, occupational injury, workplace injury, injury, injuries, work, workplace, occupational, nurse, registered nurse, RN, health care, predictors, risk factors, risk, risks, cause, causes, obese, obesity, and body mass index. Data on predictors or factors associated with lost-time injuries in RNs were gathered and organized using Loisel's Work Disability Prevention Management Model and extrapolated upon using existing literature surrounding obesity in the Canadian workplace.Entities:
Keywords: occupational injury; registered nurses; time-loss injuries; work disability prevention; workplace
Year: 2015 PMID: 25830063 PMCID: PMC4372183 DOI: 10.1016/j.shaw.2014.12.006
Source DB: PubMed Journal: Saf Health Work ISSN: 2093-7911
Fig. 1Work disability prevention management model [13].
Workplace injury in registered nurses (RNs)
| Refs | Purpose | Study design | Participants | Interventions | Findings | Limitations |
|---|---|---|---|---|---|---|
| To examine the demographic and workplace risk factors of serious falls and associated economic burden in Canadian health care workers | Fall injury data obtained from 2005–2008 from BC workplace health and safety surveillance system and linked with WC claims and payroll records | No interventions | Workers aged > 60 y, those employed part-time, or employed in long-term care sector sustained more serious falls. Females, long-term care workers, RNs, care aids, and maintenance workers had most costly falls | Study only accounted for incidents that received compensation and only captured falls among one health region's workers | ||
| To describe the slip, trip, and fall injury experience and trends in a population of nursing home workers, identify risk factors for slip trip and fall injuries, and develop prevention strategies | WC injury claims data, narrative information on the injury and payroll data from 1996–2003 obtained and analyzed from 6 US Midwest nursing homes | No interventions | Nursing home workers experience more slip, trip, and fall-related injury claims than workers in other industries. Most slips, trips and falls were attributed to hazards that could be controlled. Workers aged > 50 y experience more falls | Study included a greater proportion of care aides than nurses. Results were generalized across job types. Small sample size, only injuries compensated were included | ||
| To study risk of injury in patient care workers using OSHA injury definitions, comparing nurses and nurses' aides | Records from human resources and occupational health service databases | No interventions | Back injuries were more common than any other injuries. Over exertion was the major cause of days away from work. Nurses with < 5 y job tenure had lower days away rates. Men had lower injury rates. Nurses in the operating room and in the float pool (moved between units) had more days-away injuries. Lowest rates were in neonatal and pediatric units and units with little patient handling | Injuries identified by OSHA records as “days away” and “no days away” rather than compensated lost-time injuries. Hospitals studied provided transitional work, wage continuation that may affect return outcomes. Administration data did not allow for understanding of causes, under reporting, individual workplace factors | ||
| To describe frequency of hospital WC claims by SES, estimate the likelihood of WC claims associated with physical workload, work organization and psychosocial exposure, and explore the degree ergonomic exposures explain difference in relative risks associated with SES | Hospital administrative and WC data 2003–2005 obtained and analyzed. Employees were classified by SES by education, responsibility required for position. A job exposure matrix was developed and used to provide information about working conditions | No interventions | Jobs with highest injury rates included nurses, semi-professionals, and semi-skilled. Increased physical work, psychological demands and low job tenure, low psychosocial reward, low supervisor support increased risk | Study was not able to match all WC cases to SES categories, did not access individual info beyond age, race, gender, tenure, measure of social factors only included one question, injury risk estimates may be biased due to underreporting | ||
| To describe the risk of work injury by SES in hospital workers. To assess whether SES gradient in injury risk is explained by differences in psychosocial, ergonomic or organizational factors | Administrative data and OSHA injury logs from 1997–2002 were obtained and analyzed from two hospitals in Massachusetts. Jobs were classified into 5 SES categories by job title. Psychosocial, ergonomic and organizational exposures were identified using a job exposure matrix | No interventions | Injury risk highest among semi-skilled workers and nurses. Predictors of risk of injury included decision latitude, supervisor support, force exertion and temperature extremes | May have been underreporting of injury, job exposure matrix used may not account for variability in exposures, did not evaluate injury at the individual level, therefore did not look at potential confounding factors, extraoccupational risk factors, SES not based on household income or other SES indicators. Possible errors in job denominators | ||
| To examine risk factors, including occupation type, workplace design, work setting, organization and environmental conditions in a large health care worker population | Data on falls occurring in 2004–2007 was collected and analyzed from WC claims, internal injury database, and payroll records from BC's health care sector | No interventions | Majority of falls occurred in acute care, females, workers aged 40–60 y. RNs experienced the most number of falls. Fall rates highest in long-term care. Increase in fall rate with age and experience. Results varied greatly by sector, occupation | Analysis was short-term, unable to look at individual physical and behavioral risks, management factors, organization safety culture, and other extrinsic factors. Data based on employee description of incident, only time loss injuries included, possible under reporting of injuries | ||
| To determine the relationship between BMI and number and type of workers' compensation claims, costs, and lost workdays | Retrospective cohort study. Data collected from WC claims and Duke Health and Safety surveillance system | No interventions | Clear linear relationship between BMI and claim rates. Combination of high-risk occupation and obesity particularly detrimental. Higher relative risk for employees aged > 55 y, low tenure | BMI was only available for employees who had completed a health risk assessment, did not include information on shift work. Potential unobservable factors, false claims | ||
| To examine possible predictors of lost workdays among nurses and nurses' aides who sought treatment for work-related back pain | Data collected from clinic surveys administered for nursing personnel during initial treatment after injury in 1994–2006, as well as employee health records | No interventions | Working < 5 y in the hospital was predictive of losing > 8 workdays. Majority of injuries occurred in nurses working in medical and surgical inpatient units and intensive care | Injuries were not WC injuries; recorded as < 7 or > 8 workdays missed. No information on injured who did not fill out a survey or had no medical records available. Demographic information was not collected | ||
| To determine the impact of workplace factors on filing of WC claims among nursing home workers | Data collected from self-administered questionnaires distributed in 2006–2009 in 18 skilled nursing facilities in the US and matched to WC claims | No-lift policy (effects not measured by study) | Higher physical demands at work increased likelihood of filing a claim. Higher levels of social support, education and BMI decreased the likelihood of filing for nurses | Only small number of employees who reported back-pain in questionnaire filed for WC. Possible underreporting, recall bias. Difficult to tell if back-pain caused by work from survey. High staff turnover rate over study period. All nursing homes owned and managed by single company | ||
| To assess risk of work-related injuries in an acute care setting while contrasting injuries of aides and nurses | Retrospective cohort studies of US nurses and aides working in acute care 1997–2004. Data collected from personnel files and WC records | No interventions | Most injuries for both groups were a result of delivering direct patient care. Greater risk for female nurses, aged > 60 y, those working in orthopedics and rehabilitation units, units with adult patients. Lifting was leading cause of injury | Probably some error involved in claim data due to underreporting. Health surveillance system does not contain exposure data for physical and psychological demands, individual risk factors, members not experiencing injury |
BC, British Columbia; BMI, body mass index; OSHA, Occupational Safety and Health Administration; SES, socioeconomic status; WC, worker compensation.
Workplace injury in other occupations
| Reference | Purpose | Study design | Participants | Interventions | Findings | Limitations |
|---|---|---|---|---|---|---|
| To determine the relationship between lifestyle variables including BMI and filing a WC claim due to fire fighter injury | Cross-sectional evaluation of firefighter injury related to WC claims and medical history, physical survey occurring 5 years after a health intervention study | Health intervention was conducted 5 years prior to study | The odds of filing a WC claim were 3 times higher for obese firefighters than normal BMI | Only observed firefighters. BMI may not be good measure for those with high muscle mass | ||
| To explore the relationship between nursing assistant injury rates and key outcomes while exploring work environment factors that can decrease the rates of workplace injury | Data was collected from 2004 National Nursing Assistant Survey and analyzed | No interventions | Assistants who experienced workplace injuries had low levels of job satisfaction, increased turnover intentions. Injuries were related to low ratings in prevention training, supervisor support, employee engagement, and training | Only information from nurses assistants, older data set may not be current. Survey was not specifically designed to evaluate worker injury and training. Data from single time period, cannot establish temporal ordering. Injuries were self-reported, not specified as lost-time injuries |
BMI, body mass index; WC, worker compensation.