Burnout is an occupational challenge to the health, performance, and retention of healthcare personnel. The objective of this cross-sectional study was to further our understanding of the association between burnout, work, coping, and cognitive impairment as it relates to neuroendocrine, inflammatory, and neuroplastic disease mechanisms. One hundred hospital-based registered nurses responded to a validated survey addressing employment and work characteristics, coping, and cognitive impairment, and a one-item, burnout scale. In addition, they all provided blood samples. Nineteen percent of the nurses reported symptoms of evolving burnout and an additional 12% reported established burnout. Severity of burnout was inversely associated with self-rated energy (p<.001), ability to concentrate (p<.001), and positively associated with stressed at work (p<.001), but not with workplace cognitive impairment. The anti-inflammatory and pro-energetic biomarker interleukin-10 was elevated in respondents in the combined two highest burnout categories (mean 2.81, S.E.M. 0.26 pg/mL) vs. a median of 2.09 pg/mL in the no-burnout category (p<.02). When biomarkers in blood were regressed on severity of burnout, concentration of the anabolic hormone dehydroepiandro­sterone­­-sulfate (standardized beta -.73, p=.007) and the neuronal strain biomarker neurofilament light chain (-.79, p=.01) inversely predicted burnout. In contrast, the ability to cope with a tough situation at work was positively associated with burnout (.75, p=.02). The study not only confirms the association between burnout and self-reported individual and work-related adverse outcomes but, importantly, burnout-relevant neuroendocrine, inflammatory, and neuronal biomarkers. Nurses suffering from burnout might exhibit dysfunctional coping resulting in decreased recognition of low energy, which accelerates the burnout process. It is proposed that assessment of biological disease mechanisms should play a larger role in both scholarly and clinical burnout work. ### Competing Interest Statement The authors have declared no competing interest.

AIM:To develop and evaluate a questionnaire for measuring factors that contribute to thriving at work among nurses. DESIGN:A cross-sectional study. METHODS:An online questionnaire was administered in March 2024 to nurses in a community teaching hospital in Michigan, US. Questionnaire content was based on a literature search and was pilot tested among nursing professionals within the hospital system. Questionnaire factor structure was examined with exploratory and confirmatory factor analyses with split-half sample validation. RESULTS:Based on exploratory and confirmatory factor analysis, a three-factor solution presented the best model, with factors comprised of 15 items measuring individual resources (3 items), work resources (6 items) and interpersonal aspects of the nursing work environment (6 items). Reliability estimates for all three factors exceeded 0.80, indicating good internal homogeneity. The questionnaire also demonstrated acceptable split-half validity and reliability. CONCLUSION:The questionnaire presented here provides a potentially useful tool for measuring and evaluating thriving at work among nurses. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE:A better understanding of factors that enhance nurse thriving would lay the foundation for targeted interventions aimed at improving the nursing work environment and nurse well-being. Enhancing nurse thriving could have a potentially positive impact on patient care. IMPACT:This study addressed the need to understand factors that contribute to thriving in nursing work. The questionnaire that was developed revealed a three-factor solution measuring individual nurse resources, work environment resources and work interpersonal resources. By measuring thriving among nurses, hospitals and other healthcare organisations are taking an important first step in identifying interventions to enhance the nursing work environment, nurse well-being and potentially the quality of patient care. REPORTING METHOD:We followed the STROBE checklist in reporting this study. No patient or public contribution.

Substantial numbers of individuals who contract COVID-19 experience long-lasting cognitive symptoms such as brain fog. Yet research to date has not compared these patients with healthy controls with a history of laboratory-confirmed COVID-19 infection, making it difficult to understand why certain COVID patients develop post-COVID cognitive symptoms while others do not. The objective of this pilot study was to compare two groups of laboratory-confirmed post-COVID patients, with and without cognitive symptoms, on measures of cognitive and psychological functioning, self-reported perceptions of functional status and quality of life, and biomarkers of stress, inflammation, and neuroplasticity. Using a case-control design, 17 participants were recruited from a healthcare system in western Michigan, USA in 2022-2024. All participants were aged 25-65 and had a positive polymerase chain reaction (PCR) test confirming previous COVID-19 infection. Ten participants reported cognitive symptoms (long COVID group) while seven were fully recovered with no residual symptoms (controls). All participants underwent an interview on their self-rated health and quality of life, a battery of neurocognitive tests, and blood draw for biomarker analysis. No group differences were detected for neuropsychological test measures except for letter fluency where the long COVID group scored significantly lower (p < .05). The long COVID group had significantly lower ratings than controls on quality of life, physical health, emotional functioning, and psychological well-being. Serum levels of nerve growth factor (NGF), a biomarker of brain plasticity, were significantly lower in the long COVID group, which was significantly more likely than controls to have serum levels of inflammatory marker (interleukin (IL)-10) values greater than or equal to the median (p = 0.015). Biomarker analyses suggest possible prolonged inflammatory processes in long COVID patients compared to fully recovered patients. Results of decreased neuroplastic functioning give credence to patients' reports of post-COVID changes in brain function.

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.

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.

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.

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.

The federal government offers earned income tax credit (EITC) to working low and middle-income families. Lack of knowledge and distrust in government result in a large proportion of qualified families does not uptake (‘claim”) EITC. The study objectives were to (1) determine whether a community derived EITC outreach campaign resulted in improved knowledge of EITC, and (2) examine the relationship between financial stress and self-rated health. A total of 215 women attending Women, Infants, and Children (WIC) centers in southeast Detroit, Michigan, were recruited in 2021. Participants filled out a survey at baseline, and after 6 and 12 months, respectively. The 1-year retention rate was 48% (n = 104). The survey contained questions on sociodemographics, financial stressors, exercise, health, and knowledge of EITC. At baseline, knowledge about EITC was low (mean 1.1 [SE 0.3] on a 0–10 visual analogue scale) but increased significantly during the first six months (2.9 [0.3]; p < .01). Approximately 38% of respondents worried about not having sufficient funds to pay for rent/mortgage at baseline, and almost 28% worried about not being able to buy nutritious meals for their families. Worry about paying for meals at the 6-month mid-point assessment was significantly related to self-rated health at 12 months (p = 0.013). Self-rated health at 12 months was significantly lower (-0.74; 95% confidence interval − 1.40, − 0.16) among those worrying vs not worrying about paying for meals. The model explained 5.6% (r2 = 0.056) of the variance in self-rated health at 12-months. The study shows that knowledge about EITC is limited among qualified households. A community engaged EITC outreach campaign increased knowledge substantially. Financial strain is related to worsening self-rated health. EITC is an underused bipartisan, pro-employment supported federal program to address near-poverty and poverty among underserved families.

Background Depression and anxiety are significant health burdens that greatly impact the quality of life of refugees and migrants. In this study, we have translated and culturally adapted the Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder Screener (GAD-7) into Kinyarwanda and performed a validation study in a United States (US) primary care setting. Methods A committee of seven experts including psychiatric and family medicine providers, health researchers, and trained medical interpreters translated and culturally adapted the PHQ-9 and GAD-7, and incorporated feedback from cognitive interviews with bilingual participants. The translated instruments were then tested in a cross-sectional validation study. Analyses include internal consistency, discriminant validity, principal component analyses, and confirmatory factor analyses. Results Analyses of 119 responses indicated overall good internal consistency with Cronbach’s α of 0.85 (PHQ-9) and 0.92 (GAD-7). Both scales showed acceptable factor loadings between 0.44 and 0.90 in the principal component analyses and showed strong correlations with health-related quality of life and depression/anxiety symptoms measured with visual analog scales. Significantly higher scores for PHQ-9 and GAD-7 were shown among participants with known psychiatric conditions. Discussion PHQ-9 and GAD-7 demonstrated commendable applicability for Kinyarwanda-speaking patients in primary healthcare settings in the US. Our instruments can already be used in primary care settings and thus help to mitigate health disparities. Future research should further validate our tool against gold-standard diagnostics in larger, geographically diverse samples.

Objectives. We aimed to study self-rated health and psycho-neuroimmunological responses during the initial 6 months after testing positive for human immunodeficiency virus (HIV) and its relationship to health literacy, that is, the ability to take in and understand information about one's illness. Health literacy plays a critical role in patients' ability to adhere to antiretroviral treatment (ART). However, there is a lack of studies on the possible impact of HIV-induced proinflammatory processes on health literacy. Methods. Twelve patients with newly diagnosed HIV attending an urban Ryan White-funded HIV clinic responded to a questionnaire and had blood samples drawn at baseline (first visit) and after 1, 3, and 6 months, respectively. The questionnaire measured stress, depression, and health literacy. Blood was analyzed for HIV RNA plasma viral load, CD4 cell count, pro- and antistress, and inflammatory markers. Results. Complete data for the entire 4 collection periods were available for nine patients. Over the 6-month period, mean viral load decreased from 353,714.83 (standard deviation 870,334.61) to 35.89 (14.04) copies/mL (p < 0.001). CD4 cell count increased from 321.08 (167.96) to 592.44 (300.06) cells/mm(3) (p < 0.001). Self-rated stress decreased from a baseline mean of 7.33 (2.29) to 3.56 (3.21), on a 0-10 visual analogue scale, at the 6-month follow-up (p < 0.01). C-reactive protein (CRP) decreased from 5757.05 (3146.86) to 2360.84 (2277.33) ng/mL (p < 0.05). Mean health literacy score at baseline was 17.67 (3.50; scale range 0-20) and did not change during the follow-up period. However, increased stress and decreased CRP (p = 0.05) during the 6-month follow-up predicted higher health literacy scores at 6 months. Conclusion. Both stress and proinflammatory processes in newly diagnosed HIV-infected patients might adversely impact patients' health literacy and thus their capacity to align with treatment guidance.

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.

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.

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.

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.

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.

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.

Aims: Our aims were to understand how hospital staff who are skilled at managing aggressive patients recognize and respond to patient aggression and to compare the approaches of skilled staff to the experiences of staff who were recently involved in incidents of patient violence. Background: Violence from patients toward staff is prevalent and increasing. There is a need for greater understanding of effective approaches to managing patient aggression in a wide variety of hospital settings. Methods: We conducted grounded theory qualitative research applying Critical Decision Method interviews at two hospitals. Skilled staff and incident-involved staff were asked to describe experiences involving aggressive patients and the data were analyzed qualitatively. Results: Our interviews (N = 23) identified positive approaches and challenges to managing aggressive patients. Positive approaches included: maintaining empathy for the patient, allowing the patient time and space, exhibiting a calm demeanor, not taking things personally, and implementing strategies to build trust. Challenges included: inadequate psychiatric resources, balancing priorities between patients with urgent physical needs and those exhibiting difficult behaviors, and perceiving pressure to de-escalate situations quickly. Incident-involved staff were more likely to describe the challenges listed above and a limited tolerance for patients whose behavior they perceived as unjustified or detracting from other patients' care. Conclusion: The Critical Decision Method proved valuable for highlighting nuanced understandings of skilled staff that sometimes contrasted with perceptions of incident-involved staff. Our findings support investigation of novel approaches to training such as peer coaching and improving empathy through increased understanding of mental illnesses and addiction.

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.

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.