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Sexual minority adolescents are more likely to have obesity compared to their heterosexual peers, but little is known about potential contributors to this disparity that lie outside of individual-level health behaviors, such as diet and exercise. One possible contributor is school violence victimization, a factor associated with overweight/obesity in adolescence. Another possible contributor is school climate, which is associated with feelings of safety and connectedness that can lower the likelihood of school violence victimization. Moreover, even less is known about relationships among all these factors among sexual minority adolescents. This gap in the literature was addressed by analyzing CDC's district-level data from the Youth Risk Behavior Survey and School Health Profiles (N = 60,625; 50.9% female, Mage = 16 years, 84.7% heterosexual, 15.3% sexual minority). Using multilevel mixed effects logistic regression models and controlling for covariates, it was found that among females and males, those with 2+ counts of last 12-month school violence victimization had higher odds of obesity than those with no school violence victimization (AOR = 1.33; AOR = 1.24). Furthermore, females and males in more positive LGBTQ school climates had lower odds of obesity than those in less positive school climates (AOR = 0.84; AOR = 0.85). There were no sexual identity differences in these models. Findings support the careful consideration of school violence victimization and LGBTQ school climate in future obesity prevention initiatives. [ABSTRACT FROM AUTHOR]

Accurate in‐hospital mortality prediction can reflect the prognosis of patients, help guide allocation of clinical resources, and help clinicians make the right care decisions. There are limitations to using traditional logistic regression models when assessing the model performance of comorbidity measures to predict in‐hospital mortality. Meanwhile, the use of novel machine‐learning methods is growing rapidly. In 2021, the Agency for Healthcare Research and Quality published new guidelines for using the Present‐on‐Admission (POA) indicator from the International Classification of Diseases, Tenth Revision, for coding comorbidities to predict in‐hospital mortality from the Elixhauser's comorbidity measurement method. We compared the model performance of logistic regression, elastic net model, and artificial neural network (ANN) to predict in‐hospital mortality from Elixhauser's measures under the updated POA guidelines. In this retrospective analysis, 1,810,106 adult Medicare inpatient admissions from six US states admitted after September 23, 2017, and discharged before April 11, 2019 were extracted from the Centers for Medicare and Medicaid Services data warehouse. The POA indicator was used to distinguish pre‐existing comorbidities from complications that occurred during hospitalization. All models performed well (C‐statistics >0.77). Elastic net method generated a parsimonious model, in which there were five fewer comorbidities selected to predict in‐hospital mortality with similar predictive power compared to the logistic regression model. ANN had the highest C‐statistics compared to the other two models (0.800 vs. 0.791 and 0.791). Elastic net model and AAN can be applied successfully to predict in‐hospital mortality. [ABSTRACT FROM AUTHOR]

Background: Asthma and COVID-19 have overlapping symptoms. During the 2019–2022 pandemic, pediatric asthma control appears to have improved, with some researchers theorizing that that is due to changes in asthma self-management. This study examined adolescents' views regarding how the pandemic impacted their asthma severity and self-management. Differences by urbanicity, sex, and race/ethnicity were explored. Methods: We utilized baseline data from adolescents with poorly controlled asthma (n = 183) who were participating in 1 of 2 school-based clinical trials—1 in rural schools and 1 in urban schools—testing the impact of interventions to improve asthma control. Adolescents reported if they believed their asthma severity remained the same, improved, or worsened during the pandemic, and if it changed, how it changed. They also reported if and how they modified their asthma management since the pandemic. We used multinomial logistic regression and binary logistic regression to assess the relationship between demographic factors and changes in asthma severity during the pandemic, and if adolescents altered their asthma management. Results: Adolescents' mean age was 15.9 years; most lived in rural communities (65.6%) and identified as female (66.7%). About half (56.2%) self-identified as black, 13.1% as Hispanic, and 10.4% as another race/ethnicity. Most (68.4%) reported that their asthma severity remained unchanged; 26.0% reported it worsened. Nearly 30% reported they altered how they managed their asthma, with most (80%) reporting additional efforts. Compared with asthma remaining the same, females had a higher relative risk than males of reporting that their asthma worsened [adjusted relative risk ratio = 3.65, 95% confidence interval (CI) = 1.34–9.90, P < 0.05]. Urban youth had greater odds (adjusted odds ratio = 5.4, 95% CI = 2.0–14.5, P < 0.001) of reporting they changed their asthma self-management compared with rural peers. Conclusion: This study demonstrates that during the 2019–2022 pandemic, adolescents generally believed their asthma severity stayed consistent and many took additional self-management efforts. [ABSTRACT FROM AUTHOR]

Aims: To explore the relationship between nurse practitioner work environment and nurse practitioner outcomes (job satisfaction and intent to leave) in the United States. Design The study used a cross‐sectional survey design to collect survey data from primary care nurse practitioners in six states in the United States. Methods: We sent mail surveys to 5689 eligible nurse practitioners in Arizona, New Jersey, Washington, Pennsylvania, California and Texas. The mail also contained an online link. Participants could complete either the paper or online questionnaire. In total, 1244 participants completed the survey in 2018–2019. The work environment was measured using the Nurse Practitioner‐Primary Care Organizational Climate Questionnaire comprised of four subscales: Nurse Practitioner‐Administration Relations, Nurse Practitioner‐Physician Relations, Independent Practice and Support and Professional Visibility. Global items measured job satisfaction and intent to leave. We used mixed‐effect proportional‐odds cumulative logit models to assess the association between work environment and job satisfaction and intent to leave. Results: Overall, 90% of participants were either very satisfied or somewhat satisfied with their job and 22% reported intent to leave their job in 1 year. With a one‐unit increase in the organizational‐level Nurse Practitioner‐Administration Relations score, the odds of having a higher job satisfaction level increased by about four times and the odds of intent to leave job decreased by about 60%. A higher organizational‐level Nurse Practitioner‐Physician Relations score was significantly associated with higher job satisfaction and lower odds of intent to leave. Conclusion: Improvements in work environments may improve nurse practitioner job satisfaction and retention. Impact This study examined the relationship between work environment, job satisfaction and turnover intention of nurse practitioners. Better work environment is associated with higher job satisfaction and lower turnover intention. Findings have implications for clinical leadership who can take actions to create better work environments to increase the nurse practitioner workforce capacity. [ABSTRACT FROM AUTHOR]

Background: Prevalence of electronic health records (EHRs) has significantly increased, and EHRs are a known contributor to clinician burnout. However, it is unknown whether the use of multifunctional EHRs is associated with nurse practitioner (NP) burnout in primary care practices. This is a major gap in the literature because 69% of practicing NPs deliver primary care services to patients. Purpose: This study aimed to investigate whether the use of multifunctional EHRs is associated with primary care NP burnout. Method: This study is a secondary analysis of cross-sectional survey data collected from NPs in two states (Pennsylvania and New Jersey). Nurse practitioners completed surveys measuring burnout, use of multifunctional EHRs, demographics, and characteristics of their practice. Use of multifunctional EHRs was operationalized using two items—computerized capabilities and electronic reminder systems. Burnout was measured using a validated, single item asking NPs to self-report their feelings of burnout. A multilevel cox regression model was built to test for associations between the use of multifunctional EHRs and NP burnout. Results: Of 396 NPs included, 25.3% reported burnout. The use of multifunctional EHRs did not increase primary care NP burnout (risk ratio = 0.30, 95% confidence interval = 0.13–0.71, p =.01). Implications for practice: With 25.3% of NPs burned out, it is imperative to reduce NP burnout. However, computerized capabilities and electronic reminder systems did not contribute to feelings of NP burnout. Future research examining other EHR components is needed to understand which features of the EHR contribute to NP burnout. [ABSTRACT FROM AUTHOR]

Background: Burnout threatens patient care and clinicians are experiencing challenges within the practice environment. Little is known about nurse practitioner (NP) perceptions of burnout and its relationship to care quality and practice environment. We investigate the relationship between primary care NP burnout on perceptions of care quality and if the practice environment moderates the relationship between burnout and care quality. Methods: This is a secondary analysis of cross‐sectional survey data from 396 NPs. Burnout and care quality were measured using a single item, but the practice environment was measured using the Nurse Practitioner Primary Care Organizational Climate Questionnaire. Multi‐level proportional odds cumulative logit models were built to test for associations between burnout and care quality and for moderation. Results: Total, 25.3% of NPs reported burnout. Odds of perceiving higher quality of care was 85% less for NPs experiencing burnout compared to those not experiencing burnout. Practice environment did not moderate the relationship between burnout and care quality, but with a one unit increase in the practice environment subscales, the odds of NPs perceiving higher care quality increased anywhere from 3.83 to 7.57 times. Conclusion: Burnout is related to lower perceptions of care quality but favorable environments were related to higher perceptions of quality. [ABSTRACT FROM AUTHOR]