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Background Evidence is limited on whether homeless individuals who visit emergency departments (EDs) share similar clinical characteristics as individuals from private households who, upon examination, require emergency health services beyond preventative healthcare. While the literature is rich with studies on homeless persons in the ED, a comprehensive assessment of similarities and differences with other social groups is lacking. Consequently, there is a gap in knowledge as it pertains to the appropriate approaches that will further support the development of targeted healthcare and emergency health services for the homeless person. Aim The goal is to provide a framework for targeted interventions that hospitals can develop based on behavioral, health, and social characteristics and, in the process, better meet the healthcare needs of homeless patients. Methods Data were collected from the records of 85,350 patients in the National Hospital Ambulatory Medical Care Survey (NHAMCS) database who visited the ED between the years of 2013 and 2016; each patient was classified as having either a private residence, living in a nursing home, or homeless (n = 83,446, n = 1,459, and n = 925, respectively). Results Cluster analysis of the data confirmed that individuals with multiple comorbidities, as well as substance abuse or dependency, regardless of residence type, were more likely to have recurrent ED visits within 72 hours. Nominal regression analyses revealed that cluster membership generated from ED data could predict patient residence and suggest that substance abuse and depression can predict 72-hour ED visit recurrence. Conclusion Cluster analyses have the potential to reveal social health and group characteristics and can support targeted solutions respective to group individualities in the ED.
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Background Microbiome studies in humans, though limited, have facilitated the evaluation of the potential connection between the microbiome and brain function. Children with autism spectrum disorder (ASD) have several behavioral challenges and avoidant/restrictive food intake disorder, which may contribute to gut microbiome dysbiosis. Aim The aim of this study is to examine the extent to which the gut microbiome of children with ASD differs in comparison to children with neurotypical development (CWND) and to assess whether a probiotic intervention has the potential to influence the gut microbiome in mediating positive behavior change and stress regulation. Methods This pilot study collected data from three children with ASD and four CWND before and after a four-week probiotic intervention. Data collection included microbiome diversity screening from stool samples as well as the following biophysiological measures: salivary alpha-amylase (sAA) levels, response to simulated stressor and calming stimulus (behavior), including pulse rate, galvanic skin response, and pupil diameter (PD). In addition, telomere length was assessed. All measures, except for telomere length, were repeated after the four-week intervention on the ASD and CWND groups for pre-/post-comparison. Data analysis consisted of multivariate analyses, including ANOVA. Results While greater heterogeneity in the ASD group was evident in all measures, the gut microbiome of participants who received probiotic intervention differed from pretreatment results within and across the groups investigated. Further, the biophysiological parameter sAA displayed a significant increase between baseline and exposure to stress in both groups, whereas PD increased in both groups from baseline, F(11, 26615) = 123.43, p = 0.00. Conclusion Though gut microbiome diversity is diminished in children with ASD compared to CWND, the gap is narrowed following a brief probiotic intervention. The results suggest that probiotic interventions have the potential to rescue microbiome diversity and abundance, potentially supporting stress regulation in pediatric populations.
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BACKGROUND: Health literacy is related to a variety of health outcomes, including disease control, health-related quality of life, and risk for death. Few studies have investigated the relation of electronic health literacy (e-health literacy) to outcomes or the mechanism by which they may be related. METHODS: Secondary data were drawn from participants in a larger study on chronic disease self-management who were age 40 years and older, had at least one chronic health condition and a health literacy score of 8th grade or below on the validated short form of the Rapid Estimate of Adult Literacy in Medicine. Participants completed the e-Health Literacy Scale (eHEALS), the Multidimensional Health Locus of Control scale, a modified version of the Attitudes Toward Health Care Providers Scale (ATHCPS), the Wake Forest Physician Trust Scale (WFPTS), and the Gonzalez-Lu adherence questionnaire. Hypothesized relations were evaluated in a bootstrapped path analytic model using the Mplus statistical software. KEY RESULTS: Participants included 334 individuals (mean age: 57.5 years; 173 women and 161 men) with Black, Indigenous, and People of Color accounting for 83.3% of the participants and White individuals making up 16.7% of the participants. Model results showed that after controlling for age, education, gender, and race, the eHEALS score was significantly related to the ATHCPS and WFPTS but not to the Gonzalez-Lu adherence questionnaire (p < .05). The eHEALS score was significantly related to the Multidimensional Health Locus of Control scale. Analysis of indirect effects showed that a portion of the relation between e-health literacy and patient attitude and adherence was mediated by internal locus of control (all p < .05). CONCLUSIONS: In this study, e-health literacy was related to important patient attitude and behavior variables via locus of control. This finding has implications for the importance of improving patients' ability to use the internet to access and effectively use health information. [HLRP: Health Literacy Research and Practice. 2023;7(2):e80-e88.].
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Letramento em Saúde , Adesão à Medicação , Telemedicina , Adulto , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Controle Interno-Externo , Qualidade de Vida , Telemedicina/métodosRESUMO
AIM: The three-component model of commitment, resilience and selected nurse characteristics were tested as predictors of nurses' intent to leave the profession. BACKGROUND: In the wake of the COVID-19 pandemic, news reports suggest that a mass exodus of nursing professionals is occurring. METHOD: This nonexperimental, descriptive, correlational, predictive study used a cross-sectional approach to collect survey data from a convenience sample of 189 registered nurses (RNs) who were providing direct patient care in adult inpatient units with a high likelihood of admitting patients diagnosed with COVID-19 and met other eligibility requirements. RESULTS: Most (73.5%) plan to remain in the nursing profession and feel highly resilient. Only affective commitment demonstrated a significant relationship to the intention to leave the nursing profession. CONCLUSIONS: The study was conducted after the pandemic had been in effect for a prolonged time, and it is likely the nurses with the intent to leave the profession had already left. The findings provide a glimpse of a sample of nurses drawn from a population likely much different from only a few months prior. IMPLICATIONS FOR NURSING MANAGEMENT: Strategies to retain nurses should include efforts to strengthen professional commitment and build resilience.