BackgroundInjuries reported to workers’ compensation (WC) system are often used to estimate incidence of health outcomes and evaluate interventions in musculoskeletal epidemiology studies. However, WC claims represent a relatively small subset of all musculoskeletal disorders among employed individuals, and perhaps not a representative subset. This study determined the influence of workplace and individual factors on filing of workers’ compensation claims by nursing home employees with back pain.MethodsSurveys were conducted in 18 skilled nursing facilities in four U.S. states. Self-administered questionnaires obtained information on demographic characteristics, working environment, and health behaviors/status. Employees who reported low back pain at least once in four questionnaire surveys were included. WC claims from the same facilities were obtained from the employer’s workers compensation insurer and matched by employee name. The dichotomous dependent variable was filing of back-related worker’s compensation claim. Association with predictors of interest, including pain severity, physical job demand, job strain, social support, schedule control, and safety climate, was assessed using multivariate regression modeling. Individual characteristics were tested as potential confounders.ResultsPain severity level was significantly associated with filing low-back related claims (odds ratio (OR) = 1.49, 95% CI = 1.18 – 1.87). Higher physical demands at work (OR = 1.07, 95% CI = 1.01 – 1.14) also increased the likelihood of claim filing. Higher job strain (OR = 0.83, 95% CI = 0.73 – 0.94), social support at work (OR = 0.90, 95% CI = 0.82 – 0.99), and education (OR = 0.79, 95% CI = 0.71 – 0.89) decreased the likelihood of claim filing.ConclusionsThe results suggest that the WC system captured the most severe occupational injuries. Workplace factors had additional influence on workers’ decision to file claims, after adjusting for low back pain severity. Education was correlated with worker’s socioeconomic status; its influence on claim filing is difficult to interpret because of the possible mixed effects of working conditions, self-efficacy, and content knowledge.
BackgroundWorkplace stress is a complex phenomenon that may often be dynamic and evolving over time. Traditional linear modeling does not allow representation of recursive feedback loops among the implicated factors. The objective of this study was to develop a multidimensional system dynamics model (SDM) of workplace stress among nursing aides and conduct simulations to illustrate how changes in psychosocial perceptions and workplace factors might influence workplace stress over time.MethodsEight key informants with prior experience in a large study of US nursing home workers participated in model building. Participants brainstormed the range of components related to workplace stress. Components were grouped together based on common themes and translated into feedback loops. The SDM was parameterized through key informant insight on the shape and magnitude of the relationship between model components. Model construction was also supported utilizing survey data collected as part of the larger study. All data was entered into the software program, Vensim. Simulations were conducted to examine how adaptations to model components would influence workplace stress.ResultsThe SDM included perceptions of organizational conditions (e.g., job demands and job control), workplace social support (i.e., managerial and coworker social support), workplace safety, and demands outside of work (i.e. work-family conflict). Each component was part of a reinforcing feedback loop. Simulations exhibited that scenarios with increasing job control and decreasing job demands led to a decline in workplace stress. Within the context of the system, the effects of workplace social support, workplace safety, and work-family conflict were relatively minor.ConclusionSDM methodology offers a unique perspective for researchers and practitioners to view workplace stress as a dynamic process. The portrayal of multiple recursive feedback loops can guide the development of policies and programs within complex organizational contexts with attention both to interactions among causes and avoidance of adverse unintended consequences. While additional research is needed to further test the modeling approach, findings might underscore the need to direct workplace interventions towards changing organizational conditions for nursing aides.
Background Healthcare facilities are notorious for occupational health and safety problems. Multi-level interventions are needed to address interacting exposures and their overlapping origins in work organization features. Worker participation in problem identification and resolution is essential. This study evaluates the CPH-NEW Healthy Workplace Participatory Program (HWPP), a Total Worker Health® protocol to develop effective employee teams for worker safety, health, and wellbeing. Methods Six public sector, unionized healthcare facilities are enrolled, in three pairs, matched by agency. The unit of intervention is a workplace health and safety committee, adapted here to a joint labor-management “Design Team” (DT). The DT conducts root cause analyses, prioritizes problems, identifies feasible interventions in light of the constraints and needs of the specific setting, makes business-case presentations to facility leadership, and assists in evaluation. Following a stepped-wedge (cross-over) design, one site in each pair is randomly assigned to “immediate intervention” status, receiving the full coached intervention at baseline; in the “lagged intervention” site, coaching begins about half-way through the study. Program effectiveness and cost-effectiveness outcomes are assessed at both organizational (e.g., workers’ compensation claim and absenteeism rates, perceived management support of safety) and individual levels (e.g., self-rated health, sleep quality, leisure-time exercise). Targeted pre-post analyses will also examine specific outcomes appropriate to the topics selected for intervention. Process evaluation outcomes include fidelity of the HWPP intervention, extent of individual DT member activity, expansion of committee scope to include employee well-being, program obstacles and opportunities in each setting, and sustainability (within the available time frame). Discussion This study aims for a quantitative evaluation of the HWPP over a time period long enough to accomplish multiple intervention cycles in each facility. The design seeks to achieve comparable study engagement and data quality between groups. We will also assess whether the HWPP might be further improved to meet the needs of U.S. public sector healthcare institutions. Potential challenges include difficulty in pooling data across study sites if Design Teams select different intervention topics, and follow-up periods too short for change to be observed. Trial registration ClinicalTrials.gov NCT04251429 (retrospectively registered January 29, 2020), protocol version 1.
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