Adding injury to insult: Unfair treatment at work and occupational injury among hospital patient-care workers.

BACKGROUND: Hospital patient-care workers have high occupational injury rates. While physical hazards within hospital work environments are established determinants of injury, social exposures may also contribute. This study examined how reports of unfair treatment at work, a dimension of work-related experiences of discrimination, were associated with injury among hospital-based patient-care workers. METHODS: We used data from the Boston Hospital Workers Health Study, a longitudinal cohort of nurses and nursing assistants at two Boston-area hospitals. In 2018, we conducted a worker survey asking about three types of unfair treatment at work and occupational injuries during the past year. We used mixed-effects logistic regression models to evaluate associations between specific types, total load, and high-frequency exposure of unfair treatment with injury, adjusting for age, gender, race and ethnicity, job title, and unit type. RESULTS: Among 1001 respondents, 21% reported being humiliated in front of others at work, 28% reported being watched more closely than other workers, and 47% reported having to work twice as hard as others for the same treatment. For each type of unfair treatment, we observed a monotonic relationship with occupational injury wherein increasing frequency of exposure was associated with increased odds of injury. We also observed monotonic relationships between total load and high-frequency exposure to unfair treatment and odds of injury. CONCLUSIONS: Work-related unfair treatment is associated with injury among hospital workers. Programs and policies that focus on preventing unfair treatment may lessen injury burden in hospital workers.

Can Better Leadership Reduce Nursing Home Staff Turnover?

OBJECTIVES: To assess whether a measure of leadership support for worker safety, health, and well-being predicts staff turnover in nursing homes after controlling for other factors. DESIGN: This paper uses administrative payroll data to measure facility-level turnover and uses a survey measure of nursing home leadership commitment to workers. In addition, we use data from Medicare to measure various nursing home characteristics. SETTING AND PARTICIPANTS: Nursing homes with at least 30 beds serving adults in California, Ohio, and Massachusetts were invited to participate in the survey. The analysis sample included 495 nursing homes. METHODS: We used a multivariable ordinary least squares model with turnover rate as the dependent variable. We used an indicator for nursing homes who scored above the median on the measure of leadership that supports worker safety, health, and well-being. Control variables include bed count (deciles), ownership (corporate/noncorporate × for-profit/not-for-profit), percent of residents on Medicaid, state, being in a nonmetropolitan county, and total nurse staffing per patient day in the 2 quarters before the survey. RESULTS: The unadjusted turnover rate was lower for those nursing homes that scored higher on leadership commitment to worker safety, health, and well-being. After controlling for additional variables, greater leadership commitment was still associated with lower turnover but with some attenuation. CONCLUSIONS AND IMPLICATIONS: We find that nursing homes with leadership that communicated and demonstrated commitment to worker safety, health, and well-being had relatively fewer nurses leave during the study period, with turnover rates approximately 10% lower than homes without. These findings suggest that leadership may be a valuable tool for reducing staff turnover.

Increased all-cause mortality following occupational injury: a comparison of two states.

OBJECTIVES: To measure the impact of lost-time occupational injuries on all-cause mortality in Washington State and, using the same data elements and study design, to determine whether the estimated impact was similar to previous estimates for New Mexico. METHODS: We linked injuries in the Washington workers' compensation system with Social Security Administration data on earnings and mortality. We estimated Cox survival models of mortality for women and men with lost-time compared with medical-only injuries, adjusting for age, pre-injury earnings and industry. We used quantitative bias analysis to account for confounding by pre-injury smoking and obesity. RESULTS: The estimated mortality HR was 1.24 for women (95% CI 1.21 to 1.28) and 1.22 for men (95% CI 1.20 to 1.24). After adjusting for unmeasured pre-injury smoking and obesity, the estimated HR for women was 1.10, 95% simulation interval (SI) 1.00 to 1.21; for men, it was 1.15, 95% SI 1.04 to 1.27. CONCLUSIONS: All-cause mortality for Washington workers with lost-time injuries was higher than for those with medical-only injuries. Estimated HRs for Washington were consistent with those previously estimated for New Mexico, a less populous state with lower median wages and a different workers' compensation insurance mechanism. This suggests that the relationship between workplace injury and long-term mortality may be generalisable to other US states. These findings support greater efforts to enhance safety and to investigate factors that improve postinjury employment opportunities and long-term health. This association should be examined in additional locations, with different study conditions, or using additional data on pre-injury risk factors.

Workplace Integrated Safety and Health Program Uptake in Nursing Homes: Associations with Ownership.

Workers in nursing homes are at high risk of occupational injury. Understanding whether-and which-nursing homes implement integrated policies to protect and promote worker health is crucial. We surveyed Directors of Nursing (DON) at nursing homes in three US states with the Workplace Integrated Safety and Health (WISH) assessment, a recently developed and validated instrument that assesses workplace policies, programs, and practices that affect worker safety, health, and wellbeing. We hypothesized that corporate and for-profit nursing homes would be less likely to report policies consistent with Total Worker Health (TWH) approaches. For each of the five validated WISH domains, we assessed the association between being in the lowest quartile of WISH score and ownership status using multivariable logistic regression. Our sample included 543 nursing homes, 83% which were corporate owned and 77% which were for-profit. On average, DONs reported a high implementation of TWH policies, as measured by the WISH. We did not find an association between either corporate ownership or for-profit status and WISH score for any WISH domain. Results were consistent across numerous sensitivity analyses. For-profit status and corporate ownership status do not identify nursing homes that may benefit from additional TWH approaches.

Mortality following workplace injury: Quantitative bias analysis.

PURPOSE: Recent studies have shown increased all-cause mortality among workers following disabling workplace injury. These studies did not account for 2 potentially important confounders, smoking and obesity. We estimated injury-related mortality accounting for these factors. METHODS: We followed workers receiving New Mexico workers' compensation benefits (1994-2000) through 2013. Using data from the Panel Study of Income Dynamics, we derived the joint distribution of smoking status and obesity for workers with and without lost-time injuries. We conducted a quantitative bias analysis (QBA) to determine the adjusted relationship of injury and mortality. RESULTS: We observed hazard ratios after adjusting for smoking and obesity of 1.13 for women (95% simulation interval (SI) 0.97 to 1.31) and 1.12 for men (95% SI 1.00 to 1.27). The estimated fully adjusted excess hazard was about half the estimates not adjusted for these factors. CONCLUSIONS: Using QBA to adjust for smoking and obesity reduced the estimated mortality hazard from lost-time injuries and widened the simulation interval. The adjusted estimate still showed more than a 10 percent increase for both women and men. The change in estimates reveals the importance of accounting for these confounders. Of course, the results depend on the methods and assumptions used.

How to ask: Surveying nursing directors of nursing homes.

BACKGROUND AND AIMS: Nursing home research may involve eliciting information from managers, yet response rates for Directors of Nursing have not been recently studied. As a part of a more extensive study, we surveyed all nursing homes in three states in 2018 and 2019, updating how to survey these leaders effectively. We focus on response rates as a measure of non-response error and comparison of nursing home's characteristics to their population values as a measure of representation error. METHODS: We surveyed Directors of Nursing or their designees in nursing homes serving adult residents with at least 30 beds in California, Massachusetts, and Ohio (N = 2389). We collected contact information for respondents and then emailed survey invitations and links, followed by three email reminders and a paper version. Nursing home associations in two of the states contacted their members on our behalf. We compared the response rates across waves and states. We also compared the characteristics of nursing homes based on whether the response was via email or paper. In a multivariable logit regression, we used characteristics of the survey and the nursing homes to predict whether their DON responded to the survey using adjustments for multiple comparisons. RESULTS: The response rate was higher for the first wave than for the second (30% vs 20.5%). The highest response rate was in Massachusetts (31.8%), followed by Ohio (25.8%) and California (19.5%). Nursing home characteristics did not vary by response mode. Additionally, we did not find any statistically significant predictors of whether a nursing home responded. CONCLUSION: A single-mode survey may provide a reasonably representative sample at the cost of sample size. With that said, however, switching modes can increase sample size without potentially biasing the sample.

Validation of the Workplace Integrated Safety and Health (WISH) assessment in a sample of nursing homes using Item Response Theory (IRT) methods.

OBJECTIVES: To validate and test the dimensionality of six constructs from the Workplace Integrated Safety and Health (WISH) assessment, an instrument that assesses the extent to which organisations implement integrated systems approaches for protecting and promoting worker health, safety and well-being, in a sample of nursing homes in the USA. DESIGN: Validation of an assessment scale using data from a cross-sectional survey. SETTING: Nursing homes certified by the Centers for Medicaid and Medicare services in three states of the USA: Ohio, California and Massachusetts. PARTICIPANTS: 569 directors of nursing from nursing homes serving adults and with more than 30 beds participated in the study. RESULTS: Graded response Item Response Theory (IRT) models showed that five out of six constructs were unidimensional based on balanced interpretation of model fit statistics-M2 or C2 with p value >0.05, Comparative Fit Index >0.95, lower bound of the root mean squared error of approximation 90% CI <0.06 and standardised root mean square residual <0.08. Overall measure and construct reliability ranged from acceptable to good. Category boundary location parameters indicated that items were most informative for respondents in lower range of latent scores (ie, ß1, ß2, ß3 typically below 0). A few items were recommended to be dropped from future administrations of the instrument based on empirical and substantive interpretation. CONCLUSIONS: The WISH instrument has utility to understand to what extent organisations integrate protection and promotion of worker health, safety and well-being; however, it is most informative in organisations that present lower scores.

Impact of workplace injury on opioid dependence, abuse, illicit use and overdose: a 36-month retrospective study of insurance claims.

OBJECTIVES: To examine the impact of workplace injury on opioid dependence, abuse and overdose (opioid-related morbidity) and if severity of injury increases the hazard of these health effects. METHODS: We used MarketScan databases to follow injured and propensity score matched non-injured workers, both without prior opioid-related diagnoses. Using a Cox proportional hazard model, we examined the impact of workplace injury on opioid-related morbidity. RESULTS: The hazard of opioid-related morbidity for injured workers was 1.79 times than that of matched non-injured workers (95% CI 1.89 to 3.60). For medical-only and lost-time injured workers, it was respectively 1.54 (95% CI 1.02 to 2.32) and 2.91 (95% CI 1.75 to 4.84) times that of non-injured workers. CONCLUSIONS: Reducing workplace injury or severity of workplace injury, as well as efforts to ensure appropriate opioid prescribing for injured workers, may help to reduce the societal costs of opioid use.

Suicide and drug-related mortality following occupational injury.

BACKGROUND: Drug overdoses and suicides have been rising since 2000 and are major contributors to a 3-year decline in US life expectancy. Studies suggest that injured workers have elevated rates of depression and opioid use, but no studies have measured excess mortality related to these risks. MATERIALS AND METHODS: We linked New Mexico workers' compensation data for 100 806 workers injured in 1994 through 2000 with Social Security Administration earnings and mortality data through 2013 and National Death Index cause of death data. We then estimated the association between receiving lost-time workers' compensation benefits and mortality hazard ratios (HRs) and 95% confidence intervals (CIs) based on Fine and Gray cause-specific subdistribution hazards for common causes of death and for drug-related, suicide, and alcohol-related mortality. RESULTS: There was almost a 3-fold increase in combined drug-related and suicide mortality hazard among women (HR = 2.63, 95% CI = 1.91-3.64) and a substantial increase among men (HR = 1.42, 95% CI = 1.13-1.79). Circulatory disease mortality hazard was elevated for men (HR = 1.25, 95% CI = 1.05-1.50). CONCLUSION: Workplace injuries severe enough to require more than a week off work may impair workers' long-term health and well-being. Drug-related deaths and suicides may be important contributors to the long-term excess mortality of injured workers. Improved workplace conditions, improved pain treatment, better treatment of substance use disorders, and treatment of postinjury depression may substantially reduce mortality consequent to workplace injuries.

Paradoxical Impact of a Patient-Handling Intervention on Injury Rate Disparity Among Hospital Workers.

OBJECTIVES: To test whether a comprehensive safe patient-handling intervention, which successfully reduced overall injury rates among hospital workers in a prior study, was differentially effective for higher-wage workers (nurses) versus low-wage workers (patient care associates [PCAs]). METHODS: Data were from a cohort of nurses and PCAs at 2 large hospitals in Boston, Massachusetts. One hospital received the intervention in 2013; the other did not. Using longitudinal survey data from 2012 and 2014 plus longitudinal administrative injury and payroll data, we tested for socioeconomic differences in changes in self-reported safe patient-handling practices, and for socioeconomic differences in changes in injury rates using administrative data. RESULTS: After the intervention, improvements in self-reported patient-handling practices were equivalent for PCAs and for nurses. However, in administrative data, lifting and exertion injuries decreased among nurses (rate ratio [RR] = 0.64; 95% confidence interval [CI] = 0.41, 1.00) but not PCAs (RR = 1.10; 95% CI = 0.74,1.63; P for occupation × intervention interaction = 0.02). CONCLUSIONS: Although the population-level injury rate decreased after the intervention, most improvements were among higher-wage workers, widening the socioeconomic gap in injury and exemplifying the inequality paradox. Results have implications for public health intervention development, implementation, and analysis.

The relationship between organizational policies and practices and work limitations among hospital patient care workers.

OBJECTIVE: We examined relationships between organizational policies and practices (OPPs) (safety practices, ergonomic practices, and people-oriented culture) and work limitations in a sample of hospital workers. METHODS: We used the 6-item Work Limitations Questionnaire (WLQ) to assess workers' perceptions of health-related work limitations. Self-reported OPPs and the WLQ were collected from workers in Boston, Massachusetts (n = 1277). We conducted random-intercept multi-level logistic regression models for each OPP using stepwise selection of covariates. RESULTS: As the unit-average ergonomic practice score increased by one, the odds of a worker reporting work limitations decreased by approximately 39% (P-value = 0.018), adjusted for job title, age, and body mass index. A similar relationship existed for people-oriented culture (P-value = 0.038). The association between safety practices and work limitations was similar, but not statistically significant. CONCLUSIONS: This study demonstrated the importance of workplace OPPs. OPPs that promote positive and supportive environments and that foster improvements in ergonomics may help reduce work limitations.

Mental Health Expenditures: Association With Workplace Incivility and Bullying Among Hospital Patient Care Workers.

OBJECTIVE: Bullied workers have poor self-reported mental health; monetary costs of bullying exposure are unknown. We tested associations between bullying and health plan claims for mental health diagnoses. METHODS: We used data from 793 hospital workers who answered questions about bullying in a survey and subscribed to the group health plan. We used two-part models to test associations between types of incivility/bullying and mental health expenditures. RESULTS: Workers experiencing incivility or bullying had greater odds of any mental health claims. Among claimants, unexposed workers spent $792, those experiencing one type of incivility or bullying spent $1557 (P for difference from unexposed = 0.016), those experiencing two types spent $928 (P = 0.503), and those experiencing three types spent $1446 (P = 0.040). CONCLUSION: Workplace incivility and bullying may carry monetary costs to employers, which could be controlled through work environment modification.

Preventive care utilization: Association with individual- and workgroup-level policy and practice perceptions.

Preventive medical care may reduce downstream medical costs and reduce population burden of disease. However, although social, demographic, and geographic determinants of preventive care have been studied, there is little information about how the workplace affects preventive care utilization. This study examines how four types of organizational policies and practices (OPPs) are associated with individual workers' preventive care utilization. We used data collected in 2012 from 838 hospital patient care workers, grouped in 84 patient care units at two hospitals in Boston. Via survey, we assessed individuals' perceptions of four types of OPPs on their work units. We linked the survey data to a database containing detailed information on medical expenditures. Using multilevel models, we tested whether individual-level perceptions, workgroup-average perceptions, and their combination were associated with individual workers' preventive care utilization (measured by number of preventive care encounters over a two-year period). Adjusting for worker characteristics, higher individual-level perceptions of workplace flexibility were associated with greater preventive care utilization. Higher average unit-level perceptions of people-oriented culture, ergonomic practices, and flexibility were associated with greater preventive care utilization. Overall, we find that workplace policies and practices supporting flexibility, ergonomics, and people-oriented culture are associated with positive preventive care-seeking behavior among workers, with some policies and practices operating at the individual level and some at the group level. Improving the work environment could impact employers' health-related expenditures and improve workers' health-related quality of life.

Measuring Best Practices for Workplace Safety, Health, and Well-Being: The Workplace Integrated Safety and Health Assessment.

OBJECTIVE: To present a measure of effective workplace organizational policies, programs, and practices that focuses on working conditions and organizational facilitators of worker safety, health and well-being: the workplace integrated safety and health (WISH) assessment. METHODS: Development of this assessment used an iterative process involving a modified Delphi method, extensive literature reviews, and systematic cognitive testing. RESULTS: The assessment measures six core constructs identified as central to best practices for protecting and promoting worker safety, health and well-being: leadership commitment; participation; policies, programs, and practices that foster supportive working conditions; comprehensive and collaborative strategies; adherence to federal and state regulations and ethical norms; and data-driven change. CONCLUSIONS: The WISH Assessment holds promise as a tool that may inform organizational priority setting and guide research around causal pathways influencing implementation and outcomes related to these approaches.

Impact of Occupational Injuries on Nonworkers' Compensation Medical Costs of Patient-Care Workers.

OBJECTIVE: The aim of this study was to estimate the extent to which work-related injuries contribute to medical expenditures paid for by group health insurance. METHODS: Administrative data on OSHA recordable injuries spanning 2010 to 2013 were obtained for female patient care workers (n = 2495). Expenditures were aggregated group health insurance claims for 3 and 6-month periods before/after injury. Group health insurance plan type, age group, and job category were control variables. RESULTS: Being injured is associated with the odds of having expenditures at both 3 months, odds ratio (OR) 2.17 [95% confidence interval (95% CI) 1.61 to 2.92], and 6 months, 2.95 (95% CI 1.96 to 4.45). Injury was associated with $275 of additional expenditures (95% CI $38 to $549) over 3 months and $587 of additional expenditures (95% CI $167 to $1140) over 6 months. CONCLUSIONS: Injury was associated with increased odds of positive expenditures and increased expenditures paid for by group health insurance.

Racial And Ethnic Differences In The Frequency Of Workplace Injuries And Prevalence Of Work-Related Disability.

Occupational injuries and illnesses lead to significant health care costs and productivity losses for millions of workers each year. This study used national survey data to test for differences between members of minority groups and non-Hispanic white workers in the risk of workplace injuries and the prevalence of work-related disabilities. Non-Hispanic black workers and foreign-born Hispanic workers worked in jobs with the highest injury risk, on average, even after adjustment for education and sex. These elevated levels of workplace injury risk led to a significant increase in the prevalence of work-related disabilities for non-Hispanic black and foreign-born Hispanic workers. These findings suggest that disparities in economic opportunities expose members of minority groups to increased risk of workplace injury and disability.

Lifting and exertion injuries decrease after implementation of an integrated hospital-wide safe patient handling and mobilisation programme.

OBJECTIVE: With increasing emphasis on early and frequent mobilisation of patients in acute care, safe patient handling and mobilisation practices need to be integrated into these quality initiatives. We completed a programme evaluation of a safe patient handling and mobilisation programme within the context of a hospital-wide patient care improvement initiative that utilised a systems approach and integrated safe patient equipment and practices into patient care plans. METHODS: Baseline and 12-month follow-up surveys of 1832 direct patient care workers assessed work practices and self-reported pain while an integrated employee payroll and injury database provided recordable injury rates collected concurrently at 2 hospitals: the study hospital with the programme and a comparison hospital. RESULTS: Safe and unsafe patient handling practice scales at the study hospital improved significantly (p<0.0001 and p=0.0031, respectively), with no differences observed at the comparison hospital. We observed significant decreases in recordable neck and shoulder (Relative Risk (RR)=0.68, 95% CI 0.46 to 1.00), lifting and exertion (RR=0.73, 95% CI 0.60 to 0.89) and pain and inflammation (RR=0.78, 95% CI 0.62 to 1.00) injury rates at the study hospital. Changes in rates at the comparison hospital were not statistically significant. CONCLUSIONS: Within the context of a patient mobilisation initiative, a safe patient handling and mobilisation programme was associated with improved work practices and a reduction in recordable worker injuries. This study demonstrates the potential impact of utilising a systems approach based on recommended best practices, including integration of these practices into the patient's plan for care.

Obscured by administrative data? Racial disparities in occupational injury.

Objectives Underreporting of occupational injuries is well documented, but underreporting patterns may vary by worker characteristics, obscuring disparities. We tested for racial and ethnic differences in injury reporting patterns by comparing injuries reported via research survey and administrative injury database in the same group of healthcare workers in the US. Methods We used data from a cohort of 1568 hospital patient-care workers who were asked via survey whether they had been injured at work during the year prior (self-reported injury; N=244). Using the hospital's injury database, we determined whether the same workers had reported injuries to the hospital's occupational health service during that year (administratively reported injury; N=126). We compared data sources to test for racial and ethnic differences in injury reporting practices. Results In logistic regression models adjusted for demographic and occupational characteristics, black workers' odds of injury as measured by self-report data were 1.91 [95% confidence interval (95% CI) 1.04-3.49] compared with white workers. The same black workers' odds of injury as measured by administrative data were 1.22 (95% CI 0.54-2.77) compared with white workers. Conclusions The undercount of occupational injuries in administrative versus self-report data may be greater among black compared to white workers, leading to underestimates of racial disparities in workplace injury.