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OBJECTIVE: Using data from 5 academic-practice sites across the United States, researchers developed and validated a scale to measure conditions that enable healthcare innovations. BACKGROUND: Academic-practice partnerships are a catalyst for innovation and healthcare development. However, limited theoretically grounded evidence exists to provide strategic direction for healthcare innovation across practice and academia. METHODS: Phase 1 of the analytical strategy involved scale development using 16 subject matter experts. Phase 2 involved pilot testing the scale. RESULTS: The final Innovativeness Across Academia and Practice for Healthcare Progress Scale (IA-APHPS) consisted of 7 domains: 3 relational domains, 2 structural domains, and 2 impact domains. The confirmatory factor analysis model fits well with a comparative fit index of 0.92 and a root-mean-square error of approximation of 0.06 (n = 477). CONCLUSION: As the 1st validated scale of healthcare innovation, the IA-APHPS allows nurses to use a diagnostic tool to facilitate innovative processes and outputs across academic-practice partnerships.

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BACKGROUND: Emergency departments (ED) nurses experience high mental workloads because of unpredictable work environments; however, research evaluating ED nursing workload using a tool incorporating nurses' perception is lacking. Quantify ED nursing subjective workload and explore the impact of work experience on perceived workload. METHODS: Thirty-two ED nurses at a tertiary academic hospital in the Republic of Korea were surveyed to assess their subjective workload for ED procedures using the National Aeronautics and Space Administration Task Load Index (NASA-TLX). Nonparametric statistical analysis was performed to describe the data, and linear regression analysis was conducted to estimate the impact of work experience on perceived workload. RESULTS: Cardiopulmonary resuscitation (CPR) had the highest median workload, followed by interruption from a patient and their family members. Although inexperienced nurses perceived the 'special care' procedures (CPR and defibrillation) as more challenging compared with other categories, analysis revealed that nurses with more than 107 months of experience reported a significantly higher workload than those with less than 36 months of experience. CONCLUSION: Addressing interruptions and customizing training can alleviate ED nursing workload. Quantified perceived workload is useful for identifying acceptable thresholds to maintain optimal workload, which ultimately contributes to predicting nursing staffing needs and ED crowding.

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OBJECTIVE: To explore the impact of telemedicine on access to gender-affirming care for rural transgender and gender diverse youth. STUDY DESIGN: A retrospective analysis of data drawn from the electronic medical records of a clinic that provides approximately 10 000 adolescent and young adult visits per year and serves patients seeking gender health care. The no-show rate was examined as a proxy for access to care due to anticipated challenges with recruiting a representative sample of a historically marginalized population. Logistic regression with generalized estimating equations was conducted to model the association between the odds of a no-show visit and covariates of interest. RESULTS: Telemedicine visits, rural home address, gender health visits, longer travel time, and being younger than 18 years old were associated with lower odds of a no-show in univariate models (n = 17 928 visits). In the adjusted model, the OR of no-shows for gender health visits was 0.56 (95% CI 0.42-0.74), adjusting for rurality, telemedicine, age (< or >18 years), and travel time to the clinic. CONCLUSIONS: In this study, telemedicine was associated with reduced no-shows overall, and especially for rural, transgender and gender diverse youth, and patients who hold both identities. Although the no-show rate does not fully capture barriers to access, these findings provide insight into how this vulnerable population may benefit from expanded access to telemedicine for rural individuals whose communities may lack providers with the skills to serve this population.

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INTRODUCTION: Sensory overstimulation of autistic patients of all ages during an ED visit can ultimately lead to care escalation, but few studies have evaluated patient perspectives on improving the ED sensory experience across the age continuum. The purpose of this study was to explore patient-centered perspectives on reducing adult and pediatric autistic patients' sensory stimulation during an ED visit. METHODS: We used a qualitative descriptive design to explore how autistic patients experience sensory disruption and recommendations to improve care. Data were analyzed inductively using an overall categorization of 6 senses (visual, auditory, touch, smell, taste, and proprioception). RESULTS: Fourteen adults and 30 caregivers of children provided written responses to open-ended interview questions (n = 44). Participants suggested strategies to minimize the sensory disruption they experienced; however, an overarching recommendation was for clinicians to ask about their or their child's preferences before delivering care or services. CONCLUSION: Because people with autism are more likely to visit an ED than their neurotypical counterparts, ED clinicians should be proficient in "sensory-friendly care." A variety of evidence-based practical strategies and design approaches exist that can be leveraged to reduce the risk of care escalation; however, the most basic may be to prioritize asking patients and their caregivers about their preferences prior to providing care.

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INTRODUCTION: Moral distress affects registered nurses' job dissatisfaction, and may ultimately be associated with higher rates of turnover. Nurse-physician relationships have been shown to affect moral distress in the intensive care unit setting, but no research has evaluated this impact on emergency nurses. The purpose of this study was to investigate the impact of nurse-physician relationships on the moral distress of emergency nurses. METHODS: A quantitative correlational design was used to evaluate the study's aim. Point-of-care nurses currently working in an emergency department were asked to complete the Measure of Moral Distress Scale for Healthcare Professionals and the collegial nurse-physician relations domain of the Practice Environment Scale of the Nursing Work Index. Univariate and multivariate analyses were conducted to determine the impact of nurse-physician relationships on moral distress, controlling for demographic characteristics. RESULTS: Thirty-two participants completed the survey. Multivariate regression showed that nurse-physician relationships are associated with moral distress in emergency nurses. Years of experience and gender did not affect moral distress in univariate or multivariate analyses. DISCUSSION: Given current staffing shortages and the need to retain expert nurses in high-acuity settings, strategies to improve nurse-physician collaboration opportunities should be explored in ED settings.

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OBJECTIVES: To understand rural survivors' experiences of participating in a nurse-led telehealth visit designed to address cancer-related distress. SAMPLE & SETTING: 25 rural-dwelling, post-treatment adult survivors of head and neck cancer recruited from a cancer center clinic affiliated with an academic health system serving a rural catchment area in the southeastern United States. METHODS & VARIABLES: A descriptive multimethod approach using semistructured qualitative interviews and the Telemedicine Satisfaction and Usefulness Questionnaire. RESULTS: Three primary themes emerged from the qualitative interviews, related to trust, access to information, and technology barriers. Quantitative findings indicated high satisfaction with the nurse-patient relationship through telehealth and lower satisfaction with using telehealth equipment to connect to a visit. IMPLICATIONS FOR NURSING: Despite facing technology barriers, rural cancer survivors prioritize speaking with an oncology certified nurse through telehealth. Although they may be willing to be open and vulnerable with an oncology nurse about their distress, rural survivors are less likely to accept a referral to another provider of psychosocial care. Nurses can incorporate warm handoffs to increase psychosocial referral uptake for rural survivors.

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BACKGROUND: Rural post-treatment head and neck cancer (HNC) survivors experience high rates of cancer-related distress and may experience unique symptom clusters. Oncology nurses can benefit from a better understanding of the symptom clusters that HNC survivors experience. OBJECTIVES: The purpose of this secondary data analysis was to identify symptom clusters of cancer-related distress in rural HNC survivors. METHODS: Secondary data analysis was conducted with survey data collected from rural HNC survivors (N = 20). Distress symptoms were measured using the National Comprehensive Cancer Network Distress Thermometer and Problem List, amended for a population with HNC. Symptom clusters were defined as two or more co-occurring symptoms and evaluated based on participant-reported severity using exploratory factor analysis. Resultant clusters were assessed for theoretical and clinical appropriateness. FINDINGS: Preliminary analysis suggests rural HNC survivors experience eight symptom clusters. As a first step, the results of this study can help nurses to identify symptom clusters in rural HNC survivors.

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Using an extensive database of every resident death in Virginia from 2005 to 2020, climate-mortality relationships are examined for 12 climatically homogeneous regions within the Commonwealth. Each region is represented by a first-order weather station from which archived temperature and humidity data are used to generate a variety of biometeorologically relevant indices. Using these indices and other variables (such as air quality and heat and cold waves), daily mortality and climate relationships are modeled for each region over a 21-day lag period utilizing generalized additive models and distributed lag non-linear models. Optimal models are identified for each region, and a consensus model was also run based on maximum temperature to facilitate inter-regional comparisons. The relative risk of mortality varies markedly as a function of climate between regions, with U-shaped, J-shaped, and inverse linear relationships evident. Cold mortality exceeds heat mortality across most of Virginia (typical relative risks are 1.10 for cold and 1.03 for heat), with cold risks strongest at lags 3 to 10. Low temperatures (or low humidity) are protective at lags 0-2 days except in the colder, western parts of state. Heat mortality occurs at short lags (0-2 days) for three-fourths of the stations, but the spatial pattern is random. Mortality displacement is evident for most regions for several days following the heat-related spike. Although the use of region-specific models is justified, the simple consensus model based on a consistent set of predictors provides similar results.

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Newly emerging infectious diseases (EIDs), like the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, are becoming increasingly common. Due to geographic, political, social, behavioral, and genomic differences, some populations are more vulnerable to infectious disease spread than others. The purpose of this article is to present a framework for research and practice response to emergent infectious diseases that addresses multiple transdisciplinary actions to limit exposure or mitigate adverse outcomes for individuals and communities. Recent experience with new strains of emergent infectious diseases reinforces the importance of intervening at multiple levels, from genomics to political messaging to create multipronged, transdisciplinary interventions to contain the threat. In particular, incorporation of genomics into public health nursing practice of infectious diseases management can enhance existing regional-, community-, and individual-level health promotion and protection efforts, thus impacting long-term health outcomes.

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BACKGROUND: Despite the potential for telemedicine in public libraries to expand health care access to those living a long distance from care and in broadband poor areas, there are few libraries that collaborate with providers to extend access. PURPOSE: To explore licensed health care providers' perspectives on telemedicine in public libraries as a method of improving equitable access to care for populations lacking the ability to connect to telemedicine from home. METHODS: We used a two-phase explanatory sequential mixed methods design with a quantitative strand followed by a qualitative strand. Surveys were analyzed descriptively. Interviews were analyzed thematically using descriptive content analysis. RESULTS: Of the 50 survey respondents, 13 were physicians and 36 were nurse practitioners (NPs); 12 NPs were interviewed. NPs were overwhelmingly supportive of telemedicine in public libraires, describing how connecting at-risk populations to a video visit (VV) allowed for a more thorough and accurate assessment than a phone call. Although several NPs were concerned with privacy, others considered a library to be more private than the home. Interviews revealed how chronic illness management may be the ideal visit type for public library-based telemedicine. CONCLUSIONS: Given the importance of expanding access sites for telemedicine, NPs should consider partnering with libraries in their catchment areas where broadband access is sparse and patients must travel long distances to care. IMPLICATIONS: Managing chronic illnesses using telemedicine in public libraries may be an important approach toward reducing health disparities in populations who live in long distances from care and do not have home-based internet access.

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PURPOSE: Shared decision making (SDM) among the oncology population is highly important due to complex screening and treatment decisions. SDM among patients with cancer, caregivers, and clinicians has gained more attention and importance, yet few articles have systematically examined SDM, specifically in the adult oncology population. This review aims to explore SDM within the oncology literature and help identify major gaps and concerns, with the goal to provide guidance in the development of clear SDM definitions and interventions. METHODS: We conducted a scoping review using the Arksey and O'Malley approach along with the PRISMA Extension for Scoping Reviews Checklist. A systematic search was conducted in four databases that included publications since 2016. RESULTS: Of the 364 initial articles, eleven publications met the inclusion criteria. We included articles that were original research, cancer related, and focused on shared decision making. Most studies were limited in defining SDM and operationalizing a model of SDM. There were several concerns revealed related to SDM: (1) racial inequality, (2) quality and preference of the patient, caregiver, and clinician communication is important, and (3) the use of a decision-making aid or tool provides value to the patient experience. CONCLUSION: Inconsistencies regarding the meaning and operationalization of SDM and inequality of the SDM process among patients from different racial/ethnic backgrounds impact the health and quality of care patients receive. Future studies should clearly and consistently define the meaning of SDM and develop decision aids that incorporate bidirectional, interactive communication between patients, caregivers, and clinicians that account for the diversity of racial, ethnic, and sociocultural backgrounds and preferences.

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OBJECTIVES: To evaluate preliminary efficacy, fidelity, and integrity of data collection of a nurse-led, telemedicine-delivered video visit intervention aimed at improving management of rural survivors' cancer-related distress symptoms. SAMPLE & SETTING: 21 rural survivors participated in a nurse-led telemedicine intervention delivered six weeks after the end of active cancer treatment. METHODS & VARIABLES: Participants' symptom management was measured with the Short Form Survivor Unmet Needs Survey, a four-factor, 30-item instrument that measures the unmet needs of adult survivors. Data were collected preintervention and six weeks postintervention. RESULTS: The mean difference between pre- and postintervention survey scores was -0.24, representing an overall improvement in management of unmet needs. The unmet emotional needs domain had the highest mean preintervention score and the largest mean reduction. All effect sizes were small. IMPLICATIONS FOR NURSING: A nurse-led, telemedicine-delivered video visit intervention may improve rural survivors' symptom management during early survivorship. Comparison with a control group using a sample size powered to detect clinically meaningful differences is an important next step to fully evaluate the impact of this model of care.

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BACKGROUND: Even when technology allows rural cancer survivors to connect with supportive care providers from a distance, uptake of psychosocial referrals is low. Fewer than one-third of participants in a telemedicine intervention for identifying rural survivors with high distress and connecting them with care accepted psychosocial referral. OBJECTIVE: The purpose of this research was to examine the reasons for which rural cancer survivors did not accept a psychosocial referral. METHODS: We utilized a qualitative design to address the research purpose. We interviewed participants who had been offered psychosocial referral. Semistructured interviews were conducted 6 weeks later (n=14), and structured interviews were conducted 9 months later (n=6). Data were analyzed descriptively using an inductive approach. RESULTS: Ultimately, none of the rural cancer survivors (0/14, 0%) engaged with a psychosocial care provider, including those who had originally accepted referrals (0/4, 0%) for further psychosocial care. When explaining their decisions, survivors minimized their distress, emphasizing their self-reliance and the need to handle distress on their own. They expressed a preference for dealing with distress via informal support networks, which was often limited to close family members. No survivors endorsed public stigma as a barrier to accepting psychosocial help, but several suggested that self-stigma associated with not being able to handle their own distress was a reason for not seeking care. CONCLUSIONS: Rural cancer survivors' willingness to accept a psychosocial referral may be mediated by the rural cultural norm of self-reliance and by self-stigma. Interventions to address referral uptake may benefit from further illumination of these relationships as well as a strength-based approach that emphasizes positive aspects of the rural community and individual self-affirmation.

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OBJECTIVE: Rural public libraries have been proposed as ideal locations from which individuals can access a telemedicine visit, but limited adoption of this practice suggests significant barriers remain. The purpose of this study was to determine rural public librarians' perspectives on the benefits and barriers to offering patrons the ability to use their public library for a telemedicine video visit, and to suggest strategies for moving this practice forward. DESIGN: Qualitative content analysis. SAMPLE: Fifteen rural US librarians and library directors. MEASUREMENTS: Individual interviews were conducted to determine perspectives on the benefits of and barriers to implementing telemedicine in public libraries. RESULTS: We identified four themes from the data: rural public libraries increase healthcare access in a trustworthy location, librarians are supportive of telemedicine, but have concerns, limited resources drive barriers to telemedicine implementation in rural libraries, and small rural libraries continued in-person service during the COVID-19 pandemic. CONCLUSION: Rural public libraries can be an important part of achieving equitable access to care, particularly with regard to chronic disease management in rural populations. Rural public health nurses can be instrumental in promoting collaborations between local libraries and regional health systems that may help libraries overcome financial barriers to this practice.

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OBJECTIVE: To explore the relationship between well-child visit (WCV) attendance during early childhood and age at autism spectrum disorder (ASD) diagnosis using data drawn from a statewide all-payer claims database. STUDY DESIGN: We used a correlational study design with longitudinal data drawn from the Virginia All-Payer Claims Database. All children born in 2011 with a diagnosis of ASD were included (n = 253). Survival analysis determined the impact of WCV attendance on ASD diagnosis at each American Academy of Pediatrics-recommended early childhood visit, and the 5-year visit. RESULTS: Survival analysis revealed a significant impact of WCV attendance at the 24-month, 3-, and 4-year visits on earlier ASD diagnosis. Children who attended the 24-month visit were diagnosed nearly 10 months earlier than those who did not. Overall, children with ASD attended fewer than 50% of visits during early childhood. CONCLUSIONS: Promoting consistent WCV attendance during early childhood is an actionable strategy for improving early identification of ASD. Further exploration is needed to determine barriers to visit attendance and the impact of patterns of early childhood WCV attendance on age of ASD diagnosis. Development and implementation of interventions to promote adherence to the American Academy of Pediatrics-recommended visits is needed.

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BACKGROUND: Colorectal cancer (CRC) disparities vary by country and population group, but often have spatial features. This study of the United States state of Virginia assessed CRC outcomes, and identified demographic, socioeconomic and healthcare access contributors to CRC disparities. METHODS: County- and city-level cross-sectional data for 2011-2015 CRC incidence, mortality, and mortality-incidence ratio (MIR) were analyzed for geographically determined clusters (hotspots and cold spots) and their correlates. Spatial regression examined predictors including proportion of African American (AA) residents, rural-urban status, socioeconomic (SES) index, CRC screening rate, and densities of primary care providers (PCP) and gastroenterologists. Stationarity, which assesses spatial equality, was examined with geographically weighted regression. RESULTS: For incidence, one CRC hotspot and two cold spots were identified, including one large hotspot for MIR in southwest Virginia. In the spatial distribution of mortality, no clusters were found. Rurality and AA population were most associated with incidence. SES index, rurality, and PCP density were associated with spatial distribution of mortality. SES index and rurality were associated with MIR. Local coefficients indicated stronger associations of predictor variables in the southwestern region. CONCLUSIONS: Rurality, low SES, and racial distribution were important predictors of CRC incidence, mortality, and MIR. Regions with concentrations of one or more factors of disparities face additional hurdles to improving CRC outcomes. A large cluster of high MIR in southwest Virginia region requires further investigation to improve early cancer detection and support survivorship. Spatial analysis can identify high-disparity populations and be used to inform targeted cancer control programming.

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Diagnosing delirium in hospice patients is challenging owing to the multifactorial causes and symptoms of delirium that can mimic natural end-of-life processes. When delirium goes unrecognized in hospice patients, preventable causes can be left untreated, leading to sequelae that are misaligned with the principles of hospice care. We conducted an evidence-based quality improvement project on a 10-bed inpatient hospice unit aimed at increasing nursing staff knowledge about assessing delirium, with a focus on preventable causes. Nurses were trained in use of the Nursing Delirium Screening Scale, which was implemented over a 5-week period. Increases in knowledge were evaluated with a pretest and posttest. We used a paired t test to determine knowledge improvement. Use of the tool was evaluated using a survey. Nurses demonstrated significantly improved knowledge after the educational session (P = .009). Survey results indicated overwhelmingly that nurses valued having an easy-to-use tool to assess delirium in their patients. Because we used a paper-based tool during the project, which was found to be cumbersome by staff, our next steps are to determine the feasibility of implementing the tool into the electronic medical record.

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OBJECTIVE: Ongoing environmental changes increasingly require public health nurses to understand how environmental factors impact the health of populations. One approach to researching these impacts is incorporating environmental research methods to determine associations between harmful exposures and health. We use the Salton Sea in Southern California as a demonstration of how environmental exposure can be examined using air parcel trajectory analysis. DESIGN: We demonstrate a methodology for public health nurses to better understand and apply data from the Hybrid Single-Particle Lagrangian Integrated Trajectory meteorological model to estimate the effect of airborne particulate matter from a single source. MEASUREMENTS: We explain a method for tracking air parcel trajectories to populations: selection of meterological data to identify air parcels, geographic identification of population centers, generation of trajectories, classification of trajectory dispersions, adjusting for atmospheric stability, and merging environmental variables with health data. CONCLUSIONS: Climate change-related environmental events are expected to become more commonplace and disproportionately affect those populations impacted by health disparities. Public health nurses can identify communities at risk so that public health nursing researchers can use these techniques in collaboration with environmental science to robustly examine health effects of proximal air pollution sources for communities at risk.

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PURPOSE: Children should attend well child visits (WCVs) during early childhood so that developmental disorders may be identified as early as possible, so treatment can begin. The aim of this research was to determine if rurality impacts access to WCV during early childhood, and if altering rurality measurement methods impacts outcomes. DESIGN AND METHODS: We utilized a longitudinal correlational design with early childhood data gathered from the Virginia All Payer Claims Database, which contains claims data from Medicaid and the majority of Virginia commercial insurance payers (n = 6349). WCV attendance was evaluated against three rurality metrics: a traditional metric using Rural-Urban Commuting Area codes, a developed land variable, and a distance to care variable, at a zip code level. RESULTS: Two of the rurality methods revealed that rural children attend fewer WCVs than their urban counterparts, (67% vs. 50% respectively, using a traditional metric; and a 0.035 increase in WCV attendance for every percent increase in developed land). Differences were attenuated by insurance payer; children with Medicaid attend fewer WCVs than those with private insurance. CONCLUSIONS: Young children in rural Virginia attend fewer WCVs than their non-rural counterparts, placing them at higher risk for missing timely developmental disorder screenings. The coronavirus disease pandemic has been associated with an abrupt and significant reduction in vaccination rates, which likely indicates fewer WCVs and concomitant developmental screenings. Pediatric nurses should encourage families of young children to develop a plan for continued WCVs, so that early identification of developmental disorders can be achieved.

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