Association Between Individual Air Pollution (PM10, PM2.5) Exposure and Adverse Pregnancy Outcomes in Korea: A Multicenter Prospective Cohort, Air Pollution on Pregnancy Outcome (APPO) Study.

BACKGROUND: Prenatal exposure to ambient air pollution is linked to a higher risk of unfavorable pregnancy outcomes. However, the association between pregnancy complications and exposure to indoor air pollution remains unclear. The Air Pollution on Pregnancy Outcomes research is a hospital-based prospective cohort research created to look into the effects of aerodynamically exposed particulate matter (PM)10 and PM2.5 on pregnancy outcomes. METHODS: This prospective multicenter observational cohort study was conducted from January 2021 to June 2023. A total of 662 women with singleton pregnancies enrolled in this study. An AirguardK® air sensor was installed inside the homes of the participants to measure the individual PM10 and PM2.5 levels in the living environment. The time-activity patterns and PM10 and PM2.5, determined as concentrations from the time-weighted average model, were applied to determine the anticipated exposure levels to air pollution of each pregnant woman. The relationship between air pollution exposure and pregnancy outcomes was assessed using logistic and linear regression analyses. RESULTS: Exposure to elevated levels of PM10 throughout the first, second, and third trimesters as well as throughout pregnancy was strongly correlated with the risk of pregnancy problems according to multiple logistic regression models adjusted for variables. Except for in the third trimester of pregnancy, women exposed to high levels of PM2.5 had a high risk of pregnancy complications. During the second trimester and entire pregnancy, the risk of preterm birth (PTB) increased by 24% and 27%, respectively, for each 10 µg/m3 increase in PM10. Exposure to high PM10 levels during the second trimester increased the risk of gestational diabetes mellitus (GDM) by 30%. The risk of GDM increased by 15% for each 5 µg/m3 increase in PM2.5 during the second trimester and overall pregnancy, respectively. Exposure to high PM10 and PM2.5 during the first trimester of pregnancy increased the risk of delivering small for gestational age (SGA) infants by 96% and 26%, respectively. CONCLUSION: Exposure to high concentrations of PM10 and PM2.5 is strongly correlated with the risk of adverse pregnancy outcomes. Exposure to high levels of PM10 and PM2.5 during the second trimester and entire pregnancy, respectively, significantly increased the risk of PTB and GDM. Exposure to high levels of PM10 and PM2.5 during the first trimester of pregnancy considerably increased the risk of having SGA infants. Our findings highlight the need to measure individual particulate levels during pregnancy and the importance of managing air quality in residential environment.

Factors associated with mobile medical clinic use: a retrospective cohort study.

BACKGROUND: Mobile medical clinics have been used for decades to provide primary and preventive care to underserved populations. While several studies have examined their return on investment and impact on chronic disease management outcomes in the Mid-Atlantic and East Coast regions of the United States, little is known about the characteristics and clinical outcomes of adults who receive care aboard mobile clinics on the West Coast region. Guided by the Anderson Behavioral Model, this study describes the predisposing, enabling, and need factors associated with mobile medical clinic use among mobile medical clinic patients in Southern California and examines the relationship between mobile clinic utilization and presence and control of diabetes and hypertension. METHODS: We conducted a retrospective cohort study of 411 adults who received care in four mobile clinic locations in Southern California from January 1, 2018, to December 31, 2019. Data were collected from patient charts on predisposing (e.g., sex, race, age), enabling (e.g., insurance and housing status), and need (e.g., chronic illness) factors based on Andersen's Behavioral Model. Zero-truncated negative binomial regression was used to examine the association of chronic illness (hypertension and diabetes) with number of clinic visits, accounting for potential confounding factors. RESULTS: Over the course of the 2-year study period, 411 patients made 1790 visits to the mobile medical clinic. The majority of patients were female (68%), Hispanic (78%), married (47%), with a mean age of 50 (SD = 11). Forty-four percent had hypertension and 29% had diabetes. Frequency of mobile clinic utilization was significantly associated with chronic illness. Patients with hypertension and diabetes had 1.22 and 1.61 times the rate of mobile medical clinic visit than those without those conditions, respectively (IRR = 1.61, 95% CI, 1.36-1.92; 1.22, 95% CI, 1.02-1.45). CONCLUSIONS: Mobile clinics serve as an important system of health care delivery, especially for adults with uncontrolled diabetes and hypertension.

Underreporting of workers' injuries or illnesses and contributing factors: a systematic review.

BACKGROUND: Accurate identification of work-related health problems is important to understand workplace safety issues and develop appropriate interventions. Although workers' reporting of work-related injuries or illnesses is the very first step of the reporting process, many workers may encounter challenges in reporting them to their management or workers' compensation (WC) programs. This systematic review aimed to identify the level of workers' underreporting of work-related injuries and illnesses and the contributing factors and reasons for underreporting among US workers. METHODS: This study searched PubMed (Medline), PsycINFO (ProQuest), CINAHL (EBSCOhost), EMBASE (Embase.com), and Social Science Citation Index (Web of Science) using search terms related to underreporting of work-related injury or illness. RESULTS: Twenty studies (17 quantitative and three mixed methods studies) were identified. The studies investigated reporting to management (n = 12), WC programs (n = 6), multiple organizations (n = 1), and not specified (n = 1). The timeframe used to measure reporting prevalence varied from three months to entire careers of workers, with the most common timeframe of 12 months. This review indicated that 20-91% of workers did not report their injuries or illnesses to management or WC programs. From quantitative studies, contributing factors for injury or illness underreporting were categorized as follows: injury type and severity, sociodemographic factors (e.g., age, gender, education, and race/ethnicity), general health and functioning, worker's knowledge on reporting, job and employment characteristics (e.g., work hour, job tenure, work shift, type of occupation, and physical demand), psychosocial work environment (e.g., supervisor support, coworker support, and safety climate), and health care provider factors. From the review of qualitative studies, the reasons for underreporting included the following: fear or concern, cumbersome time and effort in the reporting process, lack of knowledge regarding reporting, perceptions of injuries as not severe or part of the job, and distrust of reporting consequences. CONCLUSIONS: The review findings indicated that low wage earners, racial/ethnic minority workers, and workers who perceive a poor psychosocial work environment encounter more barriers to reporting a work-related injury or illness. This review also identified variations in the measurement of work-related injury reporting across studies and a lack of standardized measurement. TRIAL REGISTRATION: The review was registered in the PROSPERO, an international database of prospectively registered systematic reviews in health and social care (CRD42021284685).

Job satisfaction and job security as moderators in the relationships among job demands, musculoskeletal symptoms, and work performance.

PURPOSE: This study examined whether job satisfaction and job security moderate the path from physical demands and job strain to impaired work performance via musculoskeletal symptoms in the upper extremities (MSUE). Moderation effects on five paths were examined: (1) from job strain to MSUE; (2) from job strain to work performance; (3) from physical demands to MSUE; (4) from physical demands to work performance; (5) from MSUE to work performance. METHODS: This was a cross-sectional study of 669 full-time workers from 9 manufacturing and 3 healthcare facilities. Data were collected via health interviews, on-site physical exposure assessments, and computation of the Strain Index by ergonomists, and self-administered questionnaires on psychosocial factors. Structural equation modeling and zero-inflated negative binomial regression analysis were performed to examine the moderation effect on each path. RESULTS: Job satisfaction moderated the relationship between MSUE and impaired work performance (B = - 0.09, 95% CI: - 0.15, - 0.04) and job security moderated the relationship between physical demands and MSUE (B = - 0.64, 95% CI: - 1.17, - 0.11). Interaction between job satisfaction and MSUE was significant on both the occurrence (OR: 0.92, 95% CI: 0.87, 0.97) and the degrees of impaired work performance (mean ratio: 0.99, 95% CI: 0.97, 0.99), while the interaction between job security and physical demands was significant only on the degrees of MSUE (mean ratio: 0.94, 95% CI: 0.89, 0.99). CONCLUSION: Job satisfaction and job security can, respectively, mitigate the adverse impacts of working with MSUE and physical demands on work performance. Workplace interventions to improve workers' job satisfaction and job security can contribute to their musculoskeletal health and work performance.

Impact of COVID-19 on occupational injuries and illnesses among nursing care facility workers: Analysis of California workers' compensation data, 2019-2021.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic greatly affected healthcare workers, both physically and psychologically, by increasing their workload and stress. This may also have increased their risk of occupational injuries. This study analyzed workers' compensation (WC) claims among California nursing care facility workers during 2019-2021, to assess the impact of the pandemic on occupational injury risk. METHODS: This study used data from the California Workers' Compensation Information System. WC claims in prepandemic and pandemic periods were described and compared between nursing care facilities and other settings. Nursing facility cases were described by demographic, job, and injury characteristics. RESULTS: In 2019-2021, we identified 41,134 claims as nursing facility cases in California. Annual claims increased by 64.6% from 2019 to 2020 and then decreased in 2021, returning to levels similar to pre-COVID. In contrast, non-healthcare settings had decreases in claims during the pandemic. COVID-related claims accounted for 50.5% of claims in nursing facilities in 2020-2021; this proportion was much higher compared with other healthcare (35.7%) or nonhealthcare settings (14.3%). Non-COVID claims decreased during the pandemic but mental disorder or stress claims increased in nursing facilities, particularly in 2020 (+42.5%). CONCLUSIONS: Our findings show that nursing care facilities were more severely affected by the pandemic than other settings. We did not find evidence of an increased risk of occupational injuries during the pandemic, except for increased claims for stress or mental disorders. Our findings indicate a clear need to address psychological stress and mental health among nursing facility workers during a pandemic.

Chimeric Singleton Placenta Comprising Placental Mesenchymal Dysplasia and Complete Hydatidiform Mole with Live Birth and Postpartum Diagnosis of Gestational Trophoblastic Neoplasia.

INTRODUCTION: Placental mesenchymal dysplasia (PMD) is a benign lesion that is often misdiagnosed as complete (CHM) or partial hydatidiform mole. PMD usually results in live birth but can be associated with several fetal defects. Herein, we report PMD with CHM in a singleton placenta with live birth. CASE PRESENTATION: A 34-year-old gravida 2, para 1, living 1 (G2P1L1) woman was referred on suspicion of a molar pregnancy in the first trimester. Maternal serum human chorionic gonadotrophin levels were increased during early pregnancy, with multicystic lesions and placentomegaly observed on ultrasonography. Levels decreased to normal with no fetal structural abnormalities observed. A healthy male infant was delivered at 34 gestational weeks. Placental p57KIP2 immunostaining and short tandem repeat analysis revealed three distinct histologies and genetic features: normal infant and placenta, PMD, and CHM. Gestational trophoblastic neoplasia was diagnosed and up to fourth-line chemotherapy administered. CONCLUSION: Distinguishing PMD from hydatidiform moles is critical for avoiding unnecessary termination of pregnancy. CHM coexisting with a live fetus rarely occurs. This case is unique in that a healthy male infant was born from a singleton placenta with PMD and CHM.

The effect of COVID-19 on workplace violence in California's hospitals: An interrupted time series analysis.

AIM: This study used California's unique Workplace Violent Incident Reporting System (WVIRS) to describe changes in workplace violence (WV) exposure for hospital-based healthcare workers during the pandemic. DESIGN: Interrupted time series analysis. METHODS: We compared the linear trends in weekly WV incidents reported during the period before the COVID-19 pandemic (7/1/2017-3/20/2020) to the period following California's shutdown (3/21/2020-6/30/2021). We created mixed effects models for incidents reported in emergency departments (EDs) and in other hospital units. We used hospital volume data from the California Department of Health Care Access and Information. RESULTS: A total of 418 hospitals reported 37,561 incidents during the study period. For EDs, the number of reported incidents remained essentially constant, despite a 26% drop in outpatient visits between the first and second quarters of 2020. For other hospital units, weekly incidents initially dropped-parallel to a 13% decrease in inpatient days between the first and second quarters of 2020-but then continued parallel to the trend seen in the pre-COVID period. CONCLUSION: WV persists steadily in California's hospitals. Despite major reductions in patient volume due to COVID-19, weekly reported ED incidents remained essentially unchanged. IMPACT: Surveys and media reported that WV increased during the pandemic, but it has been difficult to measure these changes using a large-scale database. The absolute number of WV incidents did not increase during the pandemic; however, the trend in reported incidents remained constant in the context of dramatic decreases in patient volume. New federal WV prevention legislation is being considered in the U.S. California's experience of implementation should be considered to improve WV reporting and prevention. PUBLIC CONTRIBUTION: There was no public contribution to this study. The goal of this analysis was to summarize findings from administrative data. The findings presented can inform future discussion of public policy and action.

Interaction between physical demands and job strain on musculoskeletal symptoms and work performance.

This study investigated the interaction between physical demands and job strain on musculoskeletal symptoms in upper extremities (MSUE) and work performance. Two years of prospective data were analysed from 713 full-time workers from twelve manufacturing and healthcare facilities in Washington in the United States. Physical exposure was measured by the Strain Index and Threshold Limit Value for hand activity, giving rise to safe, action, and hazardous physical demand groups. Job strain was calculated as the ratio of psychological job demands to job control. Multilevel modelling analysis showed that job strain affected MSUE and limited work performance less in the high physical demand group than the safe group because the protective effect of job control was smaller in these groups. Findings may suggest that high physical demand jobs are structured such that workers have low job control or high physical demand groups experience job strain not adequately captured by psychosocial variables.Practitioner Summary: The effects of job strain and job control on musculoskeletal symptoms in upper extremities and work performance were smaller among workers with higher physical demands. This could imply that high physical demand jobs limit job control or psychosocial variables may not adequately capture job strain among high physical demand groups.

Safe patient handling legislation and musculoskeletal disorders among California healthcare workers: Analysis of workers' compensation data, 2007-2016.

BACKGROUND: California requires general acute care hospitals to have a comprehensive plan to prevent patient handling injuries (PHIs) among employees. The California safe patient handling (SPH) law took effect in 2012. This study assessed the impact of the SPH law on workers' compensation claims for musculoskeletal disorders (MSDs) in California hospital workers. METHODS: We used California Workers' Compensation Information System data from 2007 to 2016 and analyzed claims for MSDs that occurred in acute care hospitals compared with nursing and residential care facilities. MSD claims were classified into PHI and non-PHI claims. RESULTS: We identified 199,547 MSD claims that occurred during 2007-2016 in acute care hospitals (62.8%) and nursing and residential care facilities (37.2%). MSDs accounted for 42.8% of all claims. Of the MSD claims, 81.0% were strains or sprains and 33.5% of MSDs were related to patient handling activities. From 2011 to 2016, MSD claim rates showed significant reductions among both hospital and nursing/residential care workers. However, the MSD-PHI claim rate showed a significant reduction only among hospital workers (7.3% per year, incidence rate ratio [IRR] = 0.927, 95% confidence interval [CI] 0.903-0.952). There was no significant change among nursing/residential care workers (IRR = 0.990, 95% CI 0.976-1.005). The non-PHI claim rate showed no significant change among hospital workers (IRR = 0.982, 95% CI 0.956-1.009). CONCLUSIONS: Our study identified significant reductions of PHI claims among California hospital workers after the passage of the SPH legislation, suggesting that SPH legislation played a crucial role in reducing the risk of injury among healthcare workers.

Dual-Sensor Signals Based Exact Gaussian Process-Assisted Hybrid Feature Extraction and Weighted Feature Fusion for Respiratory Rate and Uncertainty Estimations.

Accurately estimating respiratory rate (RR) has become essential for patients and the elderly. Hence, we propose a novel method that uses exact Gaussian process regression (EGPR)-assisted hybrid feature extraction and feature fusion based on photoplethysmography and electrocardiogram signals to improve the reliability of accurate RR and uncertainty estimations. First, we obtain the power spectral features and use the multi-phase feature model to compensate for insufficient input data. Then, we combine four different feature sets and choose features with high weights using a robust neighbor component analysis. The proposed EGPR algorithm provides a confidence interval representing the uncertainty. Therefore, the proposed EGPR algorithm, including hybrid feature extraction and weighted feature fusion, is an excellent model with improved reliability for accurate RR estimation. Furthermore, the proposed EGPR methodology is likely the only one currently available that provides highly stable variation and confidence intervals. The proposed EGPR-MF, 0.993 breath per minute (bpm), and EGPR-feature fusion, 1.064 (bpm), show the lowest mean absolute error compared to the other models.

Differences in employment, job characteristics, and work-related perceptions by sociodemographic factors among registered nurses of diverse race/ethnicity.

BACKGROUND: Available research on registered nurses (RNs) indicates that RNs with diverse race/ethnicity are more likely to work in disadvantaged workplaces. PURPOSE: To examine differences in employment, job characteristics and perceptions about work among RNs by sociodemographic characteristics. METHODS: We analyzed data from statewide random samples of California RNs (N=895). FINDINGS: Increased age was associated with increased likelihoods of working part-time, day-shift, and in non-hospital settings and having managerial positions. Asian and Black nurses were more likely to work in urban areas than White nurses. The levels of job demand, job control, job satisfaction, perceived organizational culture, and safety climate were significantly different by sociodemographic characteristics. Greater intention to leave the job was associated with younger age and working in non-hospital settings. DISCUSSION: The findings suggest that differences exist in nurses' employment, job characteristics, and perceptions about their work and work environment by sociodemographic characteristics among RNs of diverse race/ethnicity.

Gender differences in experience and reporting of acute symptoms among cleaning staff.

BACKGROUND: Cleaning tasks pose risks of hazardous chemical exposure and adverse health effects for cleaning workers. We examined gender differences among cleaning staff in the experience of chemical-related symptoms and in reporting to supervisors. METHODS: We analyzed cross-sectional reports from 171 university hospital or campus cleaning staff on chemical exposures to cleaning products, experience of acute symptoms, reporting of symptoms to supervisors, as well as demographic and psychosocial factors (risk perception, job demand/control, supervisor/co-worker support, and safety climate). Results were analized using multivariable logistic regression, adjusting for demographic, job, and psychosocial factors. Interactions of gender and psychosocial variables were also examined. RESULTS: Men and women reported different frequencies for exposure-related tasks. Acute symptoms of chemical exposure were more prevalent in women compared with men (46.0% vs. 25.4%; adjusted odds ratio [OR] = 2.63; 95% confidence interval [CI] 1.27-5.46). Women were more concerned about exposure to cleaning chemicals (p = 0.029) but reported symptoms to their supervisor less often than men (18.5% vs. 40.6%, adjusted OR = 0.28; 95% CI 0.09-0.93). More supervisor support was significantly associated with less frequent symptom experience among women (OR = 0.83; 95% CI 0.70-0.99). Asian workers and less educated workers were less likely than others to report symptoms to supervisors. Gender differences in symptom reporting to supervisors were not explained by psychosocial factors. CONCLUSIONS: Women may have increased susceptibility or perception of symptoms from cleaning compared to men, but this may be mitigated by supervisor support. Female Asian workers with lower education may perceive more significant barriers in reporting work-related symptoms to supervisors. Further research is needed to explore factors related to underreporting.

Evaluation of transfer learning of pre-trained CNNs applied to breast cancer detection on infrared images.

Breast cancer accounts for the highest number of female deaths worldwide. Early detection of the disease is essential to increase the chances of treatment and cure of patients. Infrared thermography has emerged as a promising technique for diagnosis of the disease due to its low cost and that it does not emit harmful radiation, and it gives good results when applied in young women. This work uses convolutional neural networks in a database of 440 infrared images of 88 patients, classifying them into two classes: normal and pathology. During the training of the networks, we use transfer learning of the following convolutional neural network architectures: AlexNet, GoogLeNet, ResNet-18, VGG-16, and VGG-19. Our results show the great potential of using deep learning techniques combined with infrared images in the aid of breast cancer diagnosis.

Uncertainty in Blood Pressure Measurement Estimated Using Ensemble-Based Recursive Methodology.

Automated oscillometric blood pressure monitors are commonly used to measure blood pressure for many patients at home, office, and medical centers, and they have been actively studied recently. These devices usually provide a single blood pressure point and they are not able to indicate the uncertainty of the measured quantity. We propose a new technique using an ensemble-based recursive methodology to measure uncertainty for oscillometric blood pressure measurements. There are three stages we consider: the first stage is pre-learning to initialize good parameters using the bagging technique. In the second stage, we fine-tune the parameters using the ensemble-based recursive methodology that is used to accurately estimate blood pressure and then measure the uncertainty for the systolic blood pressure and diastolic blood pressure in the third stage.

Ensemble Methodology for Confidence Interval in Oscillometric Blood Pressure Measurements.

Oscillometry blood pressure measurements are commonly used to measure blood pressure for many patients at hospitals, home, and office and they are actively studied recently. These devices generally offer a single blood pressure point and they are not able to indicate the confidence interval of the measured quantity. Therefore, we introduce a novel technique using ensemble-based adaptive methodology to measure confidence interval for oscillometry blood pressure measurements. The ensemble-based adaptive methodology that is used to accurately estimate blood pressure and then measure the confidence interval for the systolic blood pressure and diastolic blood pressure.

Impact of California's safe patient handling legislation on musculoskeletal injury prevention among nurses.

BACKGROUND: This study evaluated the impact of California's safe patient handling (SPH) legislation on musculoskeletal injury prevention among hospital nurses. METHODS: Two serial cross-sectional surveys were conducted using postal and online questionnaires in statewide random samples of California registered nurses in 2013 and 2016. Analysis included hospital nurses who performed patient handling (n = 254 and n = 281, respectively). RESULTS: In 2016, there were significant improvements in nurses' knowledge of a SPH policy in their hospital (87%), receipt of annual SPH training (73%), and availability of lift equipment (80%); 33% perceived their hospital's SPH programs as excellent or very good. Significant prevalence reduction was observed for work-related musculoskeletal symptoms (61% vs 52%; Adjusted Prevalence Ratio = 0.78, 95% CI 0.66-0.91). CONCLUSIONS: Our findings indicate the significant role of SPH legislation with positive impacts on SPH policies and programs at the hospital level and on musculoskeletal health outcomes at the worker level.

Statistical Approaches Based on Deep Learning Regression for Verification of Normality of Blood Pressure Estimates.

Oscillometric blood pressure (BP) monitors currently estimate a single point but do not identify variations in response to physiological characteristics. In this paper, to analyze BP's normality based on oscillometric measurements, we use statistical approaches including kurtosis, skewness, Kolmogorov-Smirnov, and correlation tests. Then, to mitigate uncertainties, we use a deep learning method to determine the confidence limits (CLs) of BP measurements based on their normality. The proposed deep learning regression model decreases the standard deviation of error (SDE) of the mean error and the mean absolute error and reduces the uncertainties of the CLs and SDEs of the proposed technique. We validate the normality of the distribution of the BP estimation which fits the standard normal distribution very well. We use a rank test in the deep learning technique to demonstrate the independence of the artificial systolic BP and diastolic BP estimations. We perform statistical tests to verify the normality of the BP measurements for individual subjects. The proposed methodology provides accurate BP estimations and reduces the uncertainties associated with the CLs and SDEs using the deep learning algorithm.

Combining Bootstrap Aggregation with Support Vector Regression for Small Blood Pressure Measurement.

Blood pressure measurement based on oscillometry is one of the most popular techniques to check a health condition of individual subjects. This paper proposes a support vector using fusion estimator with a bootstrap technique for oscillometric blood pressure (BP) estimation. However, some inherent problems exist with this approach. First, it is not simple to identify the best support vector regression (SVR) estimator, and worthy information might be omitted when selecting one SVR estimator and discarding others. Additionally, our input feature data, acquired from only five BP measurements per subject, represent a very small sample size. This constitutes a critical limitation when utilizing the SVR technique and can cause overfitting or underfitting, depending on the structure of the algorithm. To overcome these challenges, a fusion with an asymptotic approach (based on combining the bootstrap with the SVR technique) is utilized to generate the pseudo features needed to predict the BP values. This ensemble estimator using the SVR technique can learn to effectively mimic the non-linear relations between the input data acquired from the oscillometry and the nurse's BPs.

Associations of Organizational Safety Practices and Culture With Physical Workload, Perceptions About Work, and Work-Related Injury and Symptoms Among Hospital Nurses.

OBJECTIVE: The study aim was to examine the relationships of organizational safety practices with nurses' perceptions about job and risk and experiences of work-related injury and symptoms. BACKGROUND: Nursing professions report high rates of work-related injuries. Organizational safety practices have been linked to workers' safety outcomes and perceptions about work. METHODS: This study analyzed data from a random sample of 280 California RNs in a cross-sectional statewide survey. Data were collected by both postal and online surveys. RESULTS: Higher perceptions of organizational safety practices (safety climate, ergonomic practices, people-oriented culture) were significantly associated with lower physical workload, lower job strain, higher job satisfaction, lower risk perception, and lower work-related injury and symptom experiences. Ergonomic practices and people-oriented culture were associated with less intention of leaving job. CONCLUSIONS: Organizational safety practices may play a pivotal role in improving positive perceptions about jobs, reducing injury risks, and promoting nurse retention.