Workplace violence, work-related exhaustion, and workplace cognitive failure among nurses: A cross-sectional study.

AIM: To examine the relationships between nurses' exposure to workplace violence and self-reports of workplace cognitive failure. DESIGN: A cross-sectional study. METHODS: An online questionnaire was administered in April 2023 to nurses in Michigan, US. Structural equation modelling was used to examine effects of physical and non-physical workplace violence (occupational stressors) and work efficiency and competence development (occupational protective factors) on workplace cognitive failure. RESULTS: Physical violence was a significant predictor of the action subscale of cognitive failure. There were no direct effects of non-physical violence, workplace efficiency, or competence development on any of the workplace cognitive failure dimensions. Both types of violence and efficiency had significant indirect effects on workplace cognitive failure via work-related exhaustion. Work-related exhaustion predicted significantly higher scores for workplace cognitive failure. CONCLUSION: Workplace violence and work efficiency exhibited primarily indirect effects on workplace cognitive failure among nurses via work-related exhaustion. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: Nurses experiencing workplace violence may be at increased risk for workplace cognitive failure, especially if they are also experiencing work-related exhaustion. Workplaces that nurses perceive as more efficient can help to mitigate the effects of violence on nurses' cognitive failure. IMPACT: This study addressed the possible effects of workplace violence as well as work efficiency and competence development on nurses' cognitive failure at work. Analyses revealed primarily indirect effects of workplace violence, and indirect protective effects of work efficiency, on nurses' cognitive failure via work-related exhaustion. This research has implications for healthcare organizations and suggests that efforts made by healthcare workplaces to prevent violence and work-related exhaustion, and to enhance work efficiency, may help to mitigate workplace cognitive failure among nurses. REPORTING METHOD: We have followed the STROBE checklist in reporting this study. PATIENT OR PUBLIC CONTRIBUTION: No Patient or public contribution.

Study protocol for a pilot clinical trial to understand neural mechanisms of response to a psychological treatment for pain and anxiety in pediatric functional abdominal pain disorders (FAPD).

BACKGROUND: Functional abdominal pain disorders (FAPD) are the most common chronic pain conditions of childhood and are made worse by co-occurring anxiety. Our research team found that the Aim to Decrease Pain and Anxiety Treatment (ADAPT), a six-session coping skills program using cognitive behavioral therapy strategies, was effective in improving pain-related symptoms and anxiety symptoms compared to standard care. In follow-up, this current randomized clinical trial (RCT) aims to test potential neural mechanisms underlying the effect of ADAPT. Specifically, this two-arm RCT will explore changes in amygdalar functional connectivity (primary outcome) following the ADAPT protocol during the water loading symptom provocation task (WL-SPT). Secondary (e.g., changes in regional cerebral blood flow via pulsed arterial spin labeling MRI) and exploratory (e.g., the association between the changes in functional connectivity and clinical symptoms) outcomes will also be investigated. METHODS: We will include patients ages 11 to 16 years presenting to outpatient pediatric gastroenterology care at a midwestern children's hospital with a diagnosis of FAPD plus evidence of clinical anxiety based on a validated screening tool (the Generalized Anxiety Disorder-7 [GAD-7] measure). Eligible participants will undergo baseline neuroimaging involving the WL-SPT, and assessment of self-reported pain, anxiety, and additional symptoms, prior to being randomized to a six-week remotely delivered ADAPT program plus standard medical care or standard medical care alone (waitlist). Thereafter, subjects will complete a post assessment neuroimaging visit similar in nature to their first visit. CONCLUSIONS: This small scale RCT aims to increase understanding of potential neural mechanisms of response to ADAPT. TRIAL REGISTRATION: ClinicalTrials.gov registration: NCT03518216.

Association between sociodemographic factors, clinic characteristics and mental health screening rates in primary care.

BACKGROUND: Screening for mental health problems has been shown to be effective to detect depression and initiate treatment in primary care. Current guidelines recommend periodic screening for depression and anxiety. This study examines the association of patient sociodemographic factors and clinic characteristics on mental health screening in primary care. DESIGN: In this retrospective cohort study, electronic medical record (EMR) data from a 14-month period from 10/15/2021 to 12/14/2022 were analyzed. Data were retrieved from 18 primary care clinics from the Corewell Health healthcare system in West Michigan. The main outcome was documentation of any Patient Health Questionnaire (PHQ-4/PHQ-9/GAD-7) screening in the EMR within the 14-month period at patient level. General linear regression models with logit link function were used to assess adjusted odds ratio (aOR) of having a documented screening. RESULTS: In total, 126,306 unique patients aged 16 years or older with a total of 291,789 encounters were included. The prevalence of 14-month screening was 79.8% (95% CI, 79.6-80.0). Regression analyses revealed higher screening odds for patients of smaller clinics (<5,000 patients, aOR 1.88; 95% CI 1.80-1.98 vs. clinics >10.000 patients), clinics in areas with mental health provider shortages (aOR 1.69; 95% CI 1.62-1.77), frequent visits (aOR 1.80; 95% CI, 1.78-1.83), and having an annual physical / well child visit encounter (aOR 1.52; 95% CI, 1.47-1.57). Smaller positive effect sizes were also found for male sex, Black or African American race, Asian race, Latinx ethnicity (ref. White/Caucasians), and having insurance through Medicaid (ref. other private insurance). DISCUSSION: The 14-month mental health screening rates have been shown to be significantly lower among patients with infrequent visits seeking care in larger clinics and available mental health resources in the community. Introducing and incentivizing mandatory mental health screening protocols in annual well visits, are viable options to increase screening rates.

Development and validation of the provider assessed quality of consultations with language interpretation scale (PQC-LI).

OBJECTIVE: With the growing immigrant communities in the western world, there is an urgent need to address language barriers to care, and health disparities as a whole. Studies on limited English proficiency patients (LEP) have focused on patient perspectives of office visits, however little is known about health care provider perspectives of medical visits using interpretive services. We aimed to develop a pragmatic brief questionnaire for assessing providers' views of the quality of communication in outpatient visits with patients with LEP. The questionnaire was validated in a cross-sectional study (n = 99) using principal component analyses (PCA) with oblimin rotation. Internal consistency was analyzed using Cronbach's alpha. RESULTS: Based on theory and literature, a seven-item scale was developed that captures two relevant concepts: (1) Provider - patient interaction during the consultation and (2) perceived quality of translation. The questionnaire was used to assess 99 LEP consultations and demonstrated good feasibility in a clinical setting. PCA revealed the two theory-based components with good factor loadings and internal consistency of α = 0.77. These preliminary results indicate that the questionnaire provides medical professionals with a validated tool to evaluate LEP patient encounters. Further confirmatory validation of the Provider-assessed Quality of Consultations with Language Interpretation (PQC-LI) in larger samples is warranted.

Primary Care Clinicians' Attitude, Knowledge, and Willingness to Address Climate Change in Shared Decision-Making.

BACKGROUND: Climate change poses a threat to the health of people worldwide. Little is known about the awareness of primary care clinicians toward climate change and if they are open and prepared to address climate change issues with their patients. As pharmaceuticals are the main source of carbon emissions in primary care, avoiding the prescription of particular climate-harmful medications is a meaningful contribution to the reduction of greenhouse gases. METHODS: This is a cross-sectional questionnaire survey among primary care clinicians in West Michigan conducted in November 2022. RESULTS: One hundred three primary care clinicians responded (response rate 22.5%). Nearly 1/3 (29.1%) were classified as climate change unaware clinicians who perceived that global warming is not happening, or expressed that it is happening but not caused by human activities or is affecting the weather. In a theoretical scenario on a prescription of a new drug, clinicians tended to prescribe the less harmful drug without discussing options with patients. Although 75.5% of clinicians agreed that climate change aspects have its place in shared decision-making, 76.6% of clinicians expressed a lack of knowledge to advise patients in this regard. In addition, 60.3% of clinicians feared that raising climate change issues in consultations may adversely affect the relationship with the patient. DISCUSSION: Although many primary care clinicians are open to addressing climate change in their working environment and with their patients, they lack knowledge and confidence to do so. In contrast, the majority of the US population is willing to do more to mitigate climate change. Although curricula on climate change topics are increasingly implemented in student education, programs to educate mid- and late-career clinicians are lacking.

Racial disparities in emergency department utilization among patients with newly diagnosed depression.

OBJECTIVE: To test the hypothesis that racial and ethnic minorities have increased emergency department visit rates, despite being established with a primary care provider. METHODS: In this retrospective cohort study, ED visits without hospital admission in a 12-month period among patients with a new primary care provider-issued diagnosis of depression were assessed. Electronic medical record (EMR) data was obtained from 47 family medicine clinics in a large Michigan-based healthcare system. General linear regression models with Poisson distribution were used to predict frequency of ED visits. RESULTS: A total of 4159 patients were included in the analyses. In multivariable analyses, Black / African American race was associated with an additional 0.90 (95% CI 0.64, 1.16) ED visits and American Indian or Alaska Native race was associated with an additional 1.39 (95% CI 0.92, 1.87) ED visits compared to White or Caucasians (null value 0). These risks were only exceeded by patients who received a prescription for a typical antipsychotic drug agent. CONCLUSION: Despite being established patients at primary care providers and having follow-up encounters, Black / African American and American Indian or Alaska Native patients with depression were considerably more likely to seek ED treatment compared to White/Caucasian patients with depression.

Mental Health Screening Differences in Non-English Speaking Patients: Results From a Retrospective Cohort Study.

PURPOSE: To assess differences in mental health screening based on patient's preferred language. METHODS: For this retrospective cohort study, data for 85 725 unique patients from 10 primary care clinics in West Michigan were analyzed if patients received at least 1 mental health screening with the Patient Health Questionnaire 4 (PHQ-4) within a 12-month period (10/15/2021-10/14/2022). A general linear regression model was used to assess the adjusted odds ratios (aOR) of being screened. RESULTS: Patients having a preferred language other than English (n = 2755) had an 87.0% chance of receiving the recommended mental health screening, compared to 76.7% of English-speaking patients (P < .001). A multivariable model revealed decreased screening odds for Kinyarwanda (aOR 0.29, 95% CI 0.19-0.45) and Persian/Dari/Pashto (aOR 0.46, 95% CI 0.23-0.91) speaking patients and higher screening odds for Spanish (aOR 1.45, 95% CI 1.19-1.77), Bosnian (aOR 2.13, 95% CI 1.11-4.11), and Vietnamese (aOR 2.25 95% CI 1.64-3.08) speaking patients compared to English speaking patients. CONCLUSIONS: Results highlight the inequities between the language groups that are probably the result of the challenges to access multilingual depression and anxiety screening instruments. Furthermore, providers may be prone to bias about who they think "needs" a mental health screening. We suggest that measures are implemented to ensure consistency in mental health screening regardless of a patients' preferred language.

Designing and Evaluating Opioid Misuse Prevention Training for Rural Communities and Health Care Providers.

Through Substance Abuse and Mental Health Services Administration funding, Michigan State University (MSU) Extension partnered with MSU's Family Medicine and Health Department of Northwest Michigan to implement trainings for community members and health care providers to increase awareness and improve prevention efforts addressing opioid use disorder (OUD) in rural areas. We formed the Michigan Substance Use Prevention, Education and Recovery (MiSUPER) project to design and evaluate opioid misuse prevention trainings. A socio-ecological prevention model was an underlying conceptual framework for this project and drove strategies used in trainings, products created, and measurement. The purpose of this study is to determine the effectiveness of one-time online educational training events for rural community members and health care providers on community OUD issues, treatment options, and supports for those in recovery. Between 2020 and 2022, rural participants completed pre- and posttraining, and 30-day follow-up evaluation surveys. We report the demographic characteristics of community (n = 451) and provider (n = 59) participants, self-reported knowledge gained, and overall perceptions of the trainings. Findings show community members' knowledge increased from pre- to posttraining (p < .001) and was maintained at 3 months, while providers' knowledge was unchanged over time. Posttraining, community participants felt more comfortable speaking about addiction with family and friends (p < .001), and providers had better knowledge of local resources for patients who could not afford opioid misuse treatments (p < .05). All participants reported gaining knowledge of community resources for opioid misuse prevention, treatment, and recovery (p < .01). Opioid misuse prevention trainings may be most effective when adapted to leverage local resources.

Increased Substance Use among Nurses during the COVID-19 Pandemic.

There is growing evidence that the COVID-19 pandemic has had a severe impact on the nursing profession worldwide. Occupational strain has disrupted nurses' emotional wellbeing and may have led to negative coping behaviors, such as increased substance use, which could impair cognitive functioning. The aim of this study was to examine whether increased substance use in a sample of U.S. nurses during the pandemic was related to greater workplace cognitive failure. An online questionnaire was administered in May 2020 to Michigan nurses statewide via three nursing organizations (n = 695 respondents). A path model was used to test the direct effects of reported increased substance use on workplace cognitive failure and via parallel psychological mediators. The model had excellent fit to the observed data, with statistically significant, unique mediating effects of greater symptoms of anxiety (b = 0.236, z = 2.22, p = 0.027), posttraumatic stress disorder (b = 0.507, z = 4.62, p < 0.001) and secondary trauma (b = 1.10, z = 2.82, p = 0.005). Importantly, the direct effect of increased substance use on workplace cognitive failure was not statistically significant independent of the mediators (b = 0.133, z = 0.56, p = 0.576; 95% confidence interval: -0.33, 0.60). These results point to the importance of further delineating the mechanistic pathways linking adverse stress to workplace cognitive failure. As we emerge from the pandemic, healthcare systems should focus resources on supporting cognitive health by addressing the psychological and emotional welfare of nurses, many of whom may be struggling with residual trauma and increased substance use.

Patient Involvement in Shared Decision-Making: Do Patients Rate Physicians and Nurses Differently?

BACKGROUND: Shared decision-making implies that patients and healthcare professionals make decisions together about clinical exams, available treatments, choice of options, and the benefit or downside of every choice. Patients involved in the shared decision-making process are more compliant with treatments and have a reduced risk of complications related to the pathology. In Italy, patient involvement in caring processes is still barely investigated. AIM: To investigate patients' perceptions about shared decision-making with physicians and nurses, respectively, and to examine the relationship between shared decision-making and patient satisfaction and perceived quality of care/treatment. METHODS: The study was performed between March and June 2019 in two wards of one Italian hospital. A questionnaire was administered to inpatients at the time of admission and again at discharge, including demographic information and measurement scales regarding patient involvement in shared decision-making, patient satisfaction, and perceived quality of treatment/care. RESULTS: A total of 151 out of 301 patients completed questionnaires at both admission and discharge. Patients' scores for shared decision-making (information, patient needs, treatment planning) were significantly different for physicians and nurses. At both admission and discharge, patients rated shared decision-making significantly higher for physicians compared to nurses, while there were no differences in their satisfaction ratings. Patient ratings of physicians did not change from admission (information: mean (M) = 3.50, standard deviation (SD) = 0.81; patient need: M = 3.05, SD = 1.05; treatment planning: M = 2.75, SD = 1.23) to discharge (information: M = 3.50, SD = 0.79; patient need: M = 3.17, SD = 1.02; treatment planning: M = 2.66, SD = 1.23) (p = 0.924, p = 0.098, p = 0.293, respectively), but patients' ratings of nurses' behavior increased significantly from admission (information: M = 2.44, SD = 1.23; patient need: M = 2.27, SD = 1.17; treatment planning: M = 2.12, SD = 1.19) to discharge (information: M = 2.62, SD = 1.22; patient need: M = 2.53, SD = 1.24; treatment planning: M = 2.35, SD = 1.21) (p = 0.019, p = 0.001, p = 0.003, respectively). Attention to patients' needs was the key determinant of both satisfaction with nurses (OR = 3.65, 95% CI = 1.31-10.14, p = 0.013) and perceived quality of care (OR = 3.97, 95% CI = 1.49-10.55, p = 0.006). Providing appropriate information about disease progress and treatments was a key determinant of both satisfaction with physicians (OR = 19.75, 95% CI = 7.29-53.55, p < 0.001) and perceived quality of treatment (OR = 8.03, 95% CI = 3.25-19.81, p < 0.001). DISCUSSION: Nurses should be sensitized to involving patients in the decision-making process, especially upon hospital admission. Specific training about effective communication techniques can be implemented to manage relationships with patients in different caring situations. Practical implications and future directions are discussed.

Association Between Inflammatory Biomarkers and Mental Health Symptoms in Middle Eastern Refugees in the US.

INTRODUCTION: Refugees are at increased risk for trauma-related mental health disorders, including anxiety, depression, and post-traumatic stress disorder (PTSD). The underlying biological mechanisms linking trauma to mental disorders need additional study, and the possible pathophysiological role of the immune system is attracting increasing interest. In this study, we investigated whether two well-known pro-inflammatory cytokines (interleukin (IL-8) and IL-6) are associated with mental health symptoms in Middle Eastern refugees displaced to the United States. METHODS: Refugees (n=64, mean age=37.6 years) ages ranged from 21 to 74 years (mean=37.62, SD=11.84) were interviewed one month after arrival in Michigan, United States, using a validated survey in Arabic. Questions covered pre-displacement trauma, current anxiety, depression, and PTSD symptoms. Blood, collected immediately following the interview, was analyzed for the levels of interleukins. Multivariate linear regression was used to determine the association between mental health symptoms and IL-6 and IL-8. RESULTS: In multivariate modeling, older age (ß=0.37; p<0.01) and anxiety (ß=0.31; p<0.05) were positively associated with IL-8. Age (ß=0.28; p<0.05) and pre-displacement trauma (ß=0.40; p<0.05) were positively associated with IL-6. Depression (ß=-0.38) was negatively associated with IL-6. CONCLUSION/RELEVANCE: This study of inflammatory biomarkers suggests the possibility of differential associations between mental health symptoms (anxiety and depression) and pro-inflammatory markers (IL-6 and IL-8). To enhance our ability to prevent and more effectively treat trauma-exposed refugees, we need to better understand the neuroinflammatory mechanisms contributing to mental disorders.

Patient-reported factors associated with avoidance of in-person care during the COVID-19 pandemic: Results from a national survey.

BACKGROUND: There has been a substantial decline in in-person care in inpatient and outpatient settings during the ongoing COVID-19 pandemic. Avoidance of needed in-person care may contribute to an avoidable decline in patient health and an increase in mortality. While several systems and behavioral theories have been put forward to explain the decline, there is a lack of studies informed by patients' own experiences. The current study applied a socio-ecological model encompassing patient, environmental, and institutional-related variables to examine patient-reported factors associated with avoidance of in-person care. METHODS: Between October and December 2020, a total of 3840 persons responded to a nationwide online questionnaire that was administered using ResearchMatch and Facebook. Self-reported avoidance of in-person care among those who needed it was the main outcome. Multivariable logistic regression analysis was used to identify factors associated with avoidance of needed care. FINDINGS: Out of a total of 3372 respondents who reported that they needed in-person care during the early phase of the pandemic, 257 (7.6%) avoided it. Patient-related variables associated with avoiding needed care included younger age (odds ratio (OR), 1.46, 95% CI 1.11 to 1.94, p<0.01; <45 y/o vs 45+), inability to afford care (OR = 1.65, 95% CI 1.17 to 2.34, p<0.01), and greater COVID-related stress (OR = 1.36, CI 1.01 to 1.83, p<0.05). More frequent discussions about COVID with family and friends was the only significant environment-related avoidance of care variable (OR = 1.39, 95% CI 1.01-1.91, p < .05). Institution-related care avoidance variables included a negative patient healthcare experience rating (OR 1.83, 95% CI 1.38 to 2.42, p<0.001), poor awareness of the institution's safety protocol (OR = 1.79, 95% CI 1.28 to 2.51, p<0.01), and low ratings of the institution's effectiveness in communicating their safety protocol (OR = 3.45, 95% CI 1.94 to 6.12, p<0.001). The final model predicted 11.9% of the variance in care avoidance. CONCLUSIONS: These results suggest that care avoidance of in-person care during the initial phase of the pandemic was influenced by a patient's demographics as well as environmental and healthcare institutional factors. Patients' previous experiences and their awareness of healthcare systems' safety protocols are important factors in care avoidance.

Data-driven clinical improvement: Oncology nurse leaders' perceptions and experiences of organisational data reports.

AIM: To elicit oncology nurse leaders' perceptions and experiences of accessing, using and interpreting report data at the unit level, and their suggestions for future reports. BACKGROUND: Nurse leaders are expected to use data reports for decisions about unit-level operations, yet data may be inaccessible, unavailable and lack relevance for improving patient care and unit-level outcomes. METHODS: A purposeful sampling was used to recruit 12 unit-level nurse leaders. Qualitative data were collected through semi-structured interviews and analysed using thematic content analysis. RESULTS: Consistent themes included the lack of accurate, useful and meaningful data specifically related to patient care. Accessibility Challenges, Limits to Applicability and Suggestions for Improvement were the main themes. CONCLUSION: Nurse leaders require real-time data to effectively implement clinical interventions and practice changes for improving unit-level patient care. IMPLICATIONS FOR NURSING MANAGEMENT: Nurse leaders emphasized that their insight into the development of customizable reports is crucial for obtaining meaningful data relevant to the varied unit-level health care setting. Reports targeting unit-level outcomes would provide meaningful data to facilitate clinical improvement where patient care is provided. Improved reports increase the likelihood of their use and the potential for enhancing the quality and safe care outcomes.

Applying machine learning to explore the association between biological stress and near misses in emergency medicine residents.

Physician stress is associated with near misses and adverse medical events. However, little is known about physiological mechanisms linking stress to such events. We explored the utility of machine learning to determine whether the catabolic stress hormone cortisol and the anabolic, anti-stress hormone dehydroepiandrosterone sulfate (DHEA-S), as well as the cortisol to DHEA-S ratio relate to near misses in emergency medicine residents during active duty in a trauma 1 emergency department. Compared to statistical models better suited for inference, machine learning models allow for prediction in situations that have not yet occurred, and thus better suited for clinical applications. This exploratory study used multiple machine learning models to determine possible relationships between biomarkers and near misses. Of the various models tested, support vector machine with radial bias function kernels and support vector machine with linear kernels performed the best, with training accuracies of 85% and 79% respectively. When evaluated on a test dataset, both models had prediction accuracies of around 80%. The pre-shift cortisol to DHEA-S ratio was shown to be the most important predictor in interpretable models tested. Results suggest that interventions that help emergency room physicians relax before they begin their shift could reduce risk of errors and improve patient and physician outcomes. This pilot demonstrates promising results regarding using machine learning to better understand the stress biology of near misses. Future studies should use larger groups and relate these variables to information in electronic medical records, such as objective and patient-reported quality measures.

Workplace Cognitive Failure among Nurses during the COVID-19 Pandemic.

Numerous studies provide evidence of the physical and emotional strain experienced by nurses during the COVID-19 pandemic. However, little is known regarding the impact of this occupational strain on nurses' cognitive function at work. The aim of this study was to identify factors associated with workplace cognitive failure in a sample of U.S. nurses during the COVID-19 pandemic. An online questionnaire was administered in May 2020 to Michigan nurses statewide via three nursing organizations (n = 695 respondents). Path analysis was conducted to test the parallel effects of frequency of contact with COVID patients and personal protective equipment (PPE) supply on workplace cognitive failure scores. Mediation effects of stress, sleep quality, secondary trauma, and work-related exhaustion were examined for each exposure. Results revealed significant indirect effects of all mediators except sleep quality of contact with COVID patients (cumulative indirect effect = 1.30, z = 6.33, p < 0.001) and PPE (cumulative indirect effect = -2.10, z = -5.22, p < 0.001) on cognitive failure. However, 58% of the PPE effect was direct. To reduce the risk of cognitive failure, healthcare organizations need to provide nurses with protective equipment and work environments that allow nurses to strengthen their resilience to extreme working conditions.

The Emotional Intelligence, Occupational Stress, and Coping Characteristics by Years of Nursing Experiences of Newly Hired Oncology Nurses.

OBJECTIVE: The objective of the study was to compare and analyze the emotional intelligence, occupational stress, and coping characteristics of three groups of newly hired oncology nurses. METHODS: Data for this secondary analysis were collected from a larger study of 114 newly hired nurses at a cancer center in the Northeastern United States. Survey data were collected using the EQi-2.0™, the Nursing Stress Scale, and the Ways of Coping Questionnaire. Dimensions of study measures were analyzed based on new graduates, 1-5 years, and >5 years of nursing experience. Analysis of variance was conducted among the three groups followed by Tukey pairwise comparisons analysis when P = 0.05. RESULTS: New graduates scored significantly lower on the self-expression dimension (mean = 96.88; standard deviation [SD] = 13.27) than nurses with >5 years nursing experience (mean = 106.12; SD 15.02) (P = 0.04), and the subdimension, assertiveness (mean = 94.73; SD = 13.87) compared to nurses with >5-year nursing experience (mean = 103.94; SD = 14.86) (P = 0.03). Significantly higher sources of stress for new graduates were death and dying (mean = 16.45; SD = 3.37), and for the associations between the three nursing groups (P = 0.001). New graduate nurses used the problem-focused coping strategy of accepting responsibility (mean = 14.06; SD = 7.28) significantly (P = 0.006) more often than nurses with >5-year experience (mean = 8.54; SD = 4.25), and planful problem solving (mean = 16.76; SD = 5.27) significantly less often (P =.001) than nurses with 1-5-year experiences (mean = 20.12; SD = 7.31). CONCLUSIONS: Dimension scores highlight the characteristics of nurses with varying levels of nursing experience onboarding at the same time. Findings may inform model-development for improving nurse-recruitment practices and retention strategies.

The Development of Posttraumatic Stress Disorder and Depression Symptoms in Iraqi Refugees: Associations with Acculturation and C-reactive Protein.

ABSTRACT: Refugees experience distress from premigration trauma, often exacerbated by postmigration difficulties. To develop effective interventions, risk factors for mental health symptoms need to be determined. Male Iraqi refugees (N = 53) to the United States provided background information and reported predisplacement trauma and psychological health within 1 month of their arrival. An inflammatory biomarker-C-reactive protein (CRP) was assessed approximately 1.5 years after arrival, and a contextual factor-acculturation-and psychological health were assessed 2 years after arrival. We tested whether acculturation and CRP were associated with posttraumatic stress disorder (PTSD) and depression symptoms at the 2-year follow-up, controlling for baseline symptoms, age, body mass index, and predisplacement trauma. Acculturation was inversely related to depression, and CRP was positively related to both PTSD and depression at the 2-year follow-up. Interventions targeting acculturation could help reduce the development of depression symptoms in refugees. The role of CRP in the development of PTSD and depression symptoms warrants further research.

Risk Factors for Assault and Physical Aggression Among Medically Hospitalized Adult Patients Who Had a Behavioral Emergency Call: A Descriptive Study.

BACKGROUND: Health care settings are a primary location for workplace violence that involves clients, but risk factors for behavioral emergencies in medical settings are largely unknown. AIM: This study proposed to identify risk factors for assault and physical aggression among medically hospitalized patients who needed a behavior emergency response team. METHOD: This descriptive study, conducted at a large Midwestern academic medical center, used univariable and multivariable logistic regression to assess relationships between demographic, medical, mental health, and contextual variables with assault and physical aggression. Predictive ability was summarized using area under the receiver operating characteristic curve. RESULTS: Among patients who received a behavior emergency response (N = 820), 86 (10%) were assaultive. Physical aggression was the most significant predictor of assault. Physical aggression was predicted by older age, male gender, and verbal threats to others. Conversely, internalizing mental health conditions of anxiety, depression, and suicidal ideation were significant for decreased risk of assault and/or physical aggression. Contextual factors, identified as wanting to smoke or leave the hospital, were significantly associated with decreased risk of both assault and physical aggression. CONCLUSION: Health care providers are encouraged to (1) consider the demonstration of physical aggression as a sign to urgently implement precautionary measures for safety, (2) avoid predicting violent situations based on particular medical or mental health conditions alone, and (3) understand that not all disruptive behavior leads to violent situations.

Perceptions of virtual primary care physicians: A focus group study of medical and data science graduate students.

BACKGROUND: Artificial and virtual technologies in healthcare have advanced rapidly, and healthcare systems have been adapting care accordingly. An intriguing new development is the virtual physician, which can diagnose and treat patients independently. METHODS AND FINDINGS: This qualitative study of advanced degree students aimed to assess their perceptions of using a virtual primary care physician as a patient. Four focus groups were held: first year medical students, fourth year medical students, first year engineering/data science graduate students, and fourth year engineering/data science graduate students. The focus groups were audiotaped, transcribed verbatim, and content analyses of the transcripts was performed using a data-driven inductive approach. Themes identified concerned advantages, disadvantages, and the future of virtual primary care physicians. Within those main categories, 13 themes emerged and 31 sub-themes. DISCUSSION: While participants appreciated that a virtual primary care physician would be convenient, efficient, and cost-effective, they also expressed concern about data privacy and the potential for misdiagnosis. To garner trust from its potential users, future virtual primary physicians should be programmed with a sufficient amount of trustworthy data and have a high level of transparency and accountability for patients.