A Novel Approach to Analyze Disparities in Colorectal Cancer Screening and Mortality.

INTRODUCTION: Reducing disparities in colorectal cancer (CRC) screening rates and mortality remains a priority. Mitigation strategies to reduce these disparities have largely been unsuccessful. The primary aim is to determine variables in models of healthcare utilization and their association with CRC screening and mortality in North Carolina. METHODS: A cross-sectional analysis of publicly available data across North Carolina using variable reduction techniques with clustering to evaluate association of CRC screening rates and mortality was performed. RESULTS: Three million sixty-five thousand five hundred thirty-seven residents (32.1%) were aged 50 y or more. More than two-thirds (68.8%) were White, while 20.5% were Black. Approximately 61% aged 50 y or more underwent CRC screening (range: 44.0%-80.5%) and had a CRC mortality of 44.8 per 100,000 (range 22.8 to 76.6 per 100,000). Cluster analysis identified two factors, designated social economic education index (factor 1) and rural provider index (factor 2) for inclusion in the multivariate analysis. CRC screening rates were associated with factor 1, consisting of socioeconomic and education variables, and factor 2, comprised of the number of providers per 10,000 individuals aged 50 y or more and rurality. An increase in both factors 1 and 2 by one point would result in an increase in CRC screening rated by 6.8%. CRC mortality was associated with factor 2. An increase in one point in factor 1 results in a decrease in mortality risk by 10.9%. CONCLUSIONS: In North Carolina, using variable reduction with clustering, CRC screening rates were associated with the inter-relationship of the number of providers and rurality, while CRC mortality was associated with the inter-relationship of social, economic, and education variables.

An Assessment of Patient Portal Messaging Use by Patients With Multiple Chronic Conditions Living in Rural Communities: Retrospective Analysis.

BACKGROUND: Patient portals can facilitate the delivery of health care services and support self-management for patients with multiple chronic conditions. Despite their benefits, the evidence of patient portal use among patients with multimorbidity in rural communities is limited. OBJECTIVE: This study aimed to explore the factors associated with portal messaging use by rural patients. METHODS: We assessed patient portal use among patients with ≥1 chronic diagnoses who sent or received messages via the Epic MyChart (Epic Systems Corporation) portal between January 1, 2015, and November 9, 2021. Patient portal use was defined as sending or receiving a message through the portal during the study period. We fit a zero-inflated negative binomial model to predict portal use based on the patient's number of chronic conditions, sex, race, age, marital status, and insurance type. County-level characteristics, based on the patient's home address, were also included in the model to assess the influence of community factors on portal use. County-level factors included educational attainment, smartphone ownership, median income, and primary care provider density. RESULTS: A total of 65,178 patients (n=38,587, 59.2% female and n=21,454, 32.92% Black) were included in the final data set, of which 38,380 (58.88%) sent at least 1 message via the portal during the 7-year study period. As the number of chronic diagnoses increased, so did portal messaging use; however, this relationship was driven primarily by younger patients. Patients with 2 chronic conditions were 1.57 times more likely to send messages via the portal than those with 1 chronic condition (P<.001). In comparison, patients with ≥7 chronic conditions were approximately 11 times more likely to send messages than patients with 1 chronic condition (P<.001). A robustness check confirmed the interaction effect of age and the number of diagnoses on portal messaging. In the model including only patients aged <65 years, there was a significant effect of increased portal messaging corresponding to the number of chronic conditions (P<.001). Conversely, this relationship was not significant for the model consisting of older patients. Other significant factors associated with increased portal use include being female; White; married; having private insurance; and living in an area with a higher average level of educational attainment, greater medical provider density, and a lower median income. CONCLUSIONS: Patients' use of the portal to send messages to providers was incrementally related to their number of diagnoses. As the number of chronic diagnoses increased, so did portal messaging use. Patients of all ages, particularly those living in rural areas, could benefit from the convenience and cost-effectiveness of portal communication. Health care systems and providers are encouraged to increase the use of patient portals by implementing educational interventions to promote the advantages of portal communication, particularly among patients with multimorbidity.

A population health assessment of screening mammography on breast cancer mortality in North Carolina.

PURPOSE: To identify predictors of screening mammography use and the effect of screening mammography on breast cancer mortality in North Carolina. METHODS: This cross-sectional study integrated publicly available data from government and private data repositories to model predictors of screening mammography and breast cancer mortality in North Carolina. RESULTS: In North Carolina during 2008-2010, on average, 68.1% of women aged 40-74 years underwent a screening mammogram in the previous two years (range: 38.7%-82.1). The ordinary least squares (OLS) regression demonstrated counties experiencing persistent poverty have mammography screening rates that are 4.3% less, on average, than counties without persistent poverty (estimate (SE) = - 4.283 (2.105), p = 0.045). As the percentage of women with a college education increases, the mammography screening rates increase by approximately 0.3% (estimate (SE) = 0.319 (0.078), P < .001) and as the health literacy score increases, the mammography screening rate decreases by 0.3% (estimate (SE) = - 0.318 (0.104), p = 0.003). These variables explain 7.0% of the variability in mammographic screening rates. The OLS regression analysis demonstrated that age-adjusted breast cancer incidence (Estimate (SE) = 0.074 (0.024), p = 0.003) and health literacy score (estimate (SE) = - 0.175 (0.083), p = 0.039) are significantly related to breast cancer mortality. CONCLUSIONS: Demographic, socioeconomic, and environmental variables explain only a small percentage of the variability in the rates of screening mammography and breast cancer mortality in North Carolina. Advances in the available treatments are likely the major contributor to improving breast cancer mortality.

Disparate Access to Surgery for Operable Carcinoma of the Lung in North Carolina.

PURPOSE: Disparities in access to surgical care are associated with poorer outcomes in patients with cancer. We sought to determine whether vulnerable populations undergo an expected rate of surgery for Stage I-IIIA lung cancer in North Carolina (NC). METHODS: We calculated the proportional surgical ratio (PSR) to identify a potential disparity in surgery rates for early stage (I-IIIA) lung cancer, first in the five counties with the worst health outcomes (LRC) and subsequently the entire state. The reference was the five healthiest counties (HRC), initially, and then the single county with the best health outcomes. RESULTS: In 2016, 3,452 individuals with Stage I-IIIA lung cancer were diagnosed in NC of which 246,854 resided in LRC, whereas 1,865,588 resided in HRC. A total of 453 operable lung cancers were diagnosed in the HRC and 107 in the LRC. The observed lobectomy rate in HRC was 40.1% (range 20.2-58.3%) of early-stage lung cancer and 19% (range 12-36%) for LRC. The PSR was 0.65 (95% confidence interval [CI] = 0.35, 0.90). For all 99 counties across NC, the PSR ranged from 0.33 to 0.96 (mean = 0.49, standard deviation [SD] = 0.10). In a multivariable model, only other primary care provider ratio (relative rate per 100 increase = 0.997; 95% CI = 0.994, 0.999) was significantly associated with PSR. CONCLUSIONS: Individuals residing in LRC in NC are 42% less likely to undergo surgery for operable lung cancer than patients living in HRC. Understanding how factors impact access is key to designing informed interventions.

Strength of the genetic counselor: patient relationship is associated with extent of increased empowerment in patients with arrhythmogenic cardiomyopathy.

Genetic testing and genetic counseling (GC) are increasingly recommended in the cardiovascular setting, with multiple guidelines recommending GC for patients with or at risk for inherited cardiovascular conditions. There are scant data, however, describing patient outcomes to guide evidence-based care. No studies have quantified the influence of the strength of the genetic counselor:patient relationship on outcomes. Individuals referred for first time GC at the Johns Hopkins Arrhythmogenic Cardiomyopathy (ACM) center were surveyed prior to their visit and immediately after, before any genetic test results ordered at the session had been returned. Outcomes and measures were selected based on the Reciprocal Engagement Model of GC and include empowerment assessed by the Genetic Counseling Outcome Scale (GCOS), anxiety assessed by the Cardiac Anxiety Questionnaire (CAQ), and genetic counselor:patient therapeutic alliance assessed by the Working Alliance Inventory (WAI-SR). Response rate was 59% (120/203). 54 (45%) of patients had genetic testing ordered prior to their GC visit. There was a significant increase in GCOS score (mean 15.7 points) within 4 weeks post-GC session (p<.0001) with no significant difference in GCOS change between patients who had genetic testing ordered previously and those attending pre-test counseling (17.4 ± 18.2 versus. 14.1 ± 16 [p=.35]). Average CAQ score was high at baseline (1.67 ± 0.68), and there was a significant inverse relationship between pre-GC CAQ score and extent of increase in GCOS score (p=.008) post-GC. Controlling for baseline anxiety, there was a strong positive relationship between the WAI-SR score and GCOS change (B = 0.80, 95% CI: 0.43, 1.17, p<.001). These results demonstrate a significant increase in empowerment after GC in ACM patients and that this outcome is not reliant on the ordering of a genetic test but instead sensitive to the quality of the genetic counselor:patient relationship. Genetic counselors can strive to further improve empowerment by focusing on reducing pre-visit anxiety and alliance building with the patient.

Factors responsible for healthcare avoidance among rural adults in the Eastern Region of North Carolina.

PURPOSE: Previous research has identified three common reasons for healthcare avoidance, cost, complexity, and privacy. This study extends prior work by examining the antecedents to these barriers and determining the extent to which they contribute to healthcare avoidance in a rural population. METHODS: A cross-sectional, regional survey of rural residents from Eastern North Carolina was conducted with questions focused on self-perceived health, healthcare utilization, and healthcare avoidance. Bivariate logistic regression was employed to investigate the predictors of cost, complexity, and privacy-related avoidance. RESULTS: Among 946 respondents, a quarter of the sample (N = 240) had not visited a doctor within the past year. Respondents who were uninsured were almost 6-times more likely to endorse avoiding healthcare due to cost (OR = 5.98) and those who had a chronic illness were 3-times as likely to report cost-related avoidance (OR = 3.01). Complexity-related avoidance was predicted by having a chronic illness (OR = 3.77) and a low perception of healthcare value (OR = 2.80). Lastly, privacy-related avoidance was related to being in fair/poor health (OR = 2.61), having a chronic illness (OR = 2.63), reporting low healthcare value (OR = 2.72), and having an external locus of control (OR = 2.96). CONCLUSIONS: Among avoidant individuals, those with a chronic illness, who could benefit most from continuity of healthcare, are 3-times more likely to avoid healthcare due to cost, complexity, and privacy. The perceived value of healthcare is also associated with complexity- and privacy-related healthcare avoidance. Utilizing alternative methods of healthcare delivery, such as telemedicine and free or reduced cost mobile health clinics, could improve continuity of medical care for rural residents.

Out of Hospital Sudden Death in a Rural Population: Low Rates of ICD Underutilization Among Decedents.

BACKGROUND: Implantable cardioverter defibrillators (ICDs) reduce mortality in patients at risk for life-threatening arrhythmias. Implantation of ICDs in rural or economically disadvantaged populations is suspected to be low. This study examined Out of Hospital Premature Natural Death (OHPND) and electronic medical record (EMR) data to identify rates of non-implantation of ICDs among decedents in eastern North Carolina. METHODS: OHPND cases in 2016 were identified using mortality data and matched with EMRs. Those meeting criteria for ICD implantation based on chart review were adjudicated by two electrophysiologists to determine whether they qualified for implantation. Comorbidity burden was established using Charlson's Comorbidity Index (CCI). RESULTS: Out of 1316 OHPND cases, 967 (73.4%) had EMR records. Chart review identified 70 (7.2%) potential ICD candidates with a LVEF ≤35 of which 5 (7.1%) did not meet criteria because LVEF subsequently improved. Of the remaining 65 patients, 32 (49.2%) already received an ICD, and 33 patients (50.7%) met criteria but had not received one. Reasons for non-implantation included: limited life expectancy secondary to comorbidities, principally chronic kidney disease (CKD) (N = 11, 17%), physician non-adherence to guidelines (N = 9, 14%), loss to follow-up (N = 7, 11%), patient refusal (N = 5, 8%), and death before commencing medical therapy (N = 1, 2%). Among our cohort of 967 individuals who died unexpectedly, nine (0.9%) patients may have avoided death with an ICD. CONCLUSION: This study using decedent data shows low rates of ICD-underutilization in a rural population and emphasizes the role of advanced comorbidities such as CKD in ICD-underutilization.

Increased Quality of Life Among Newly Diagnosed Patients With Heart Failure With Reduced Ejection Fraction in the Months After Initiation of Guideline-Directed Medical Therapy and Wearable Cardioverter Defibrillator Prescription.

BACKGROUND: The patient experience of heart failure involves a multi-impact symptom response with functional limitations, psychological changes, and significant treatment burden. OBJECTIVE: The aim of this study was to examine the change in patient-reported outcomes in newly diagnosed patients with heart failure and reduced ejection fraction (HFrEF) prescribed a wearable cardioverter defibrillator. METHODS: Adults hospitalized for new-onset heart failure, due to ischemic or nonischemic cardiomyopathy, and prescribed a wearable cardioverter defibrillator within 10 days post discharge were approached for inclusion. Participants completed the Kansas City Cardiomyopathy Questionnaire at 3 time points: baseline, day 90, and day 180. RESULTS: A total of 210 patients (26% female) were included. All Kansas City Cardiomyopathy Questionnaire subscales (physical limitation, symptom frequency, quality of life, and social limitation) showed improvement from baseline to day 90 (all Ps < .001). Only quality of life continued to improve from day 90 to day 180 (P < .001). By day 90, nearly 70% of patients showed an improvement in quality of life (67.9%, n = 91), and by day 180, more than 80% (82.8%, n = 111) reported a net improvement. Five patients (3.7%) reported a net decrease, and 18 patients (13.4%) had no net change in quality of life during the 180-day period. CONCLUSION: Patient-reported quality of life improved significantly among patients newly diagnosed with HFrEF and prescribed a wearable cardioverter defibrillator. These results suggest that pursuing guideline-directed medical therapy for HFrEF, while being protected by the wearable cardioverter defibrillator, is likely to provide symptom relief and improve quality of life.

Discontinuation of Transmission Precautions for COVID-19 Patients: Polymerase Chain Reaction Diagnostics, Patient Delays, and Cycle Threshold Values.

BACKGROUND: The decision of when it is safe to discontinue transmission-based precautions for SARS-CoV-2 coronavirus disease 2019 (COVID-19) hospitalized patients has been controversial. The Centers for Disease Control and Prevention offered reverse transcriptase polymerase chain reaction (PCR) diagnostic test- or symptom-based guidelines. METHODS: A retrospective chart review of Vidant Health system, Eastern North Carolina, was conducted. Length of stay, days in isolation unit, and date appropriate for discharge or isolation discontinuation based on the symptom-based strategy were recorded. RESULTS: Of 196 COVID hospitalized patients, 34 had repeated COVID PCR tests 3 or more days from their first positive test result. Half of these patients experienced delays in release from transmission-based precautions because of repeated positive PCR test results and use of the test-based approach. This resulted in an additional 166 days of hospitalization, costing an estimated $415,000. Furthermore, 2 subjects had a combined 16-day delay in necessary medical procedures. Most of the COVID PCR platforms yield quantitative results in the form of cycle threshold (Ct) values, the number of cycles needed to detect the genome. These values have also been used to assess whether patients are likely to remain contagious. None of our patients who met the criteria for symptom-based strategy for transmission-based precaution discontinuation had positive PCR test results with Ct values lower than 25, but 4 had Ct values lower than 30. CONCLUSIONS: Concerns surround immunocompromised patients and those treated with steroids who might be delayed or incapable of stopping viral replication and thus remain contagious. Our results suggest that clinicians use all available data including Ct values to evaluate the safety of discontinuation of transmission precautions.

Collaborative care for the wearable cardioverter defibrillator patient: Getting the patient and medical team "vested and active".

Patients with a reduced ejection fraction of 35% or less and a history of myocardial infarction (MI) are at increased risk of sudden cardiac death (SCD). These patients have a class I indication for an implantable cardioverter-defibrillator after allowing time for medical therapy optimization and potential cardiac recovery. The rates of SCD are highest in this "gap" period early after a cardiac event, and the wearable cardioverter-defibrillator (WCD) is an intervention that can be used to protect against SCD during this time period. There has been a clinical trial that randomized patients with a reduced ejection fraction at the time of MI to a WCD versus control. Results of the trial showed no statistically significant difference in the primary endpoint of SCD. There are many intricacies to the interpretation of the trial, including the importance of patient adherence to WCD therapy, which is affected by the patient experience and psychological factors. Patients with a new cardiomyopathy are affected by a mix of psychological factors, including the feeling of safety and protection from a WCD contrasted by the WCD providing a reminder of awareness and fear of ventricular arrhythmias and SCD. Beyond the capabilities of a WCD to defibrillate a life-threatening ventricular arrhythmia, the device can also provide activity and heart failure diagnostics monitoring. Patients need to be engaged in shared decision-making conversations about a WCD, so that patients can make a decision based on their own values construct, ultimately increasing adherence among the patients that want a WCD.

Evaluation and acceptance of mobile-electrocardiogram use in implantable cardioverter defibrillator patients - Can I see my ECG?

BACKGROUND: Medical technologies for consumers aim to help prevent, manage, and even forecast cardiovascular events, but their emotional impact is not fully known. The value of mobile-electrocardiogram (mECG) technology to an existing group of cardiac patients is unknown. The purpose of this study was to examine the impact of readily available mECG capability for a sample of implantable cardioverter defibrillator (ICD) patients. METHODS: Patients with ICDs (N = 51) were recruited and consented in a large academic cardiology clinic. Participants were given a mECG device and asked to take a 30-ss reading at least once per day for 30 days. Technology satisfaction, cardiac anxiety, shock anxiety, and ICD device acceptance were measured pre- and post-mECG usage. RESULTS: mECG technology was regularly used (M = 36.6 readings completed per month) and positively appraised by ICD patients (mean of 4.4 out of possible 5). Self-reported symptoms of general cardiac anxiety were not significantly affected by the utilization of mECG technology. ICD specific measures were mixed with increased overall ICD device acceptance but also increased shock anxiety. CONCLUSIONS: ICD patients positively viewed and used mECG technology regularly as prescribed. However, the overall psychological impact of mECG was mixed and suggests that ICD patients may have idiosyncratic adjustments to the increased access of cardiac device data.

Wearable cardioverter defibrillators in schools: A guide for parents and educators.

Keeping children safe is a goal for everyone. To stay safe, some children need a wearable cardioverter defibrillator (WCD). WCDs protect individuals who are at risk for life-threatening arrhythmias. The LifeVest® (ZOLL, Pittsburgh, PA, USA) is a WCD that identifies, records, and treats potentially life-threatening abnormal heartbeats, or arrhythmias. The WCD will provide electrical energy to the heart with up to five high-energy shocks if a potentially dangerous cardiac arrhythmia is detected. This type of arrhythmia, if not treated within a short time period (less than 2 minutes), can result in disruption of blood flow to the brain and other vital organs (that is, a sudden cardiac arrest), and death can occur within minutes. A shock delivered by the LifeVest can terminate an arrhythmia and restore a normal heart rhythm and blood flow to the body. In December 2015, the Food and Drug Administration approved the LifeVest for patients under 18 years old. The purpose of this guide is to serve as a resource for parents and educators, to promote awareness of the LifeVest, and to answer questions about the safety of the LifeVest in schools.

How active are young cardiac device patients? Objective assessment of activity in children with cardiac devices.

BACKGROUND: The daily activity of pediatric patients with implantable cardiac devices provides behavioral evidence of functional outcomes. Modern devices provide continuous accelerometer data that are sensitive to movement, but normative values have not been published for pediatric activity rates. This study provides the first normative accelerometer data on activity rates in a large sample of pediatric cardiac device patients. METHODS: Patients were between 3 and 18 years old (N = 1,905) and implanted with a cardiac device from a single device company, and enrolled in remote monitoring. RESULTS: The median age at implant was 14 years (interquartile range = 12-16); 61.3% were male. Data for 4 weeks were extracted from a company database at 53 weeks postimplant and an average of daily activity was calculated. Daily average activity for all patients was 5.4 hours (standard deviation  =  2.0). In a multivariate analysis, increased level of activity was associated with: being male, having a pacemaker versus implantable cardioverter defibrillator (ICD), epicardial device location, rate response turned off, having experienced a shock, and younger age. CONCLUSIONS: These results provide the first baseline data of physical activity in children with implanted cardiac devices and provide a clinical guide to physical activity assessment in this population. Further, our data suggest physical activity in children with implantable cardiac devices may differ based on demographic variables, device type, device location, indication for implantation, and history of ICD shock.

Associations between social determinants of health and diabetes self-care behaviors among insured adult patients.

AIMS: This study explored the association between social determinants of health (SDOH) and diabetes care behaviors among individuals with health insurance. METHODS: Data from 57,206 US residents, representing a population of over 25.58 million adults with health insurance and diagnosed diabetes, were included in this cross-sectional analysis of data from the 2017 Behavioral Risk Factor Surveillance System. Logistic regression models were constructed to evaluate the likelihood of various diabetes care behaviors given the presence of several SDOH (e.g., food insecurity, poverty, housing insecurity, rurality). RESULTS: Most respondents exercised, ate vegetables, saw a provider for diabetes-related care in the last year, and reported checking their feet and testing their blood sugar daily. Not feeling safe (odds ratio (OR) 1.77, 95 % confidence interval (CI) 1.04, 3.01) was related to never checking blood sugar. Experiencing frequent stress was associated with a lower likelihood of exercise (OR .77, 95% CI 0.60, 0.999) and lower likelihood of checking blood sugar at least once a day (OR 0.73, 95% CI 0.54, 0.99). Food insecurity was associated with lower likelihood of vegetable consumption (OR 0.63, 95 % CI 0.47, 0.85) but a higher likelihood of checking blood sugar (OR 1.80, 95 % CI 1.26, 2.57). Low-income respondents were less likely to exercise (OR 0.72, 95 % CI 0.64, 0.80) or eat vegetables (OR 0.83, 95 % CI 0.75, 0.93) but more likely to check their feet (OR 1.19, 95 % CI 1.04, 1.35) and blood sugar at least once per day (OR 1.15, 95% CI 1.01, 1.31). Those who rent their home were also more likely to check their blood sugar (OR 1.22, 95% CI 1.07, 1.37) but less likely to have eaten vegetables in the last week (OR 0.87, 95% CI 0.78, 0.97). Respondents living in rural areas were more likely to have visited a provider in the last year (OR 1.21 95% CI 1.00, 1.47). CONCLUSIONS: SDOH can adversely affect diabetes self-care behaviors, providers should assist vulnerable patients by connecting them with community resources and providing individualized care.

Health Screening Among a Rural, Hourly Workforce: North Carolina SERVIRE Project.

INTRODUCTION: This study demonstrates the feasibility of a novel, business-partnered, and worksite-based approach to healthcare access to facilitate chronic disease screening and diagnosis among rural hourly workers. The prevalence of undiagnosed and untreated diabetes and hypertension among screening participants was determined. METHODS: From February 2021 to June 2023, investigators partnered with 29 businesses to screen 1,114 workers. Health screenings included a demographic questionnaire, A1c testing for prediabetes (A1c of 5.7-6.4) and diabetes (A1c≥6.5), hypertension (Stage 1: systolic blood pressure of 130-139 mmHg; Stage 2: systolic blood pressure ≥140 mmHg), kidney disease (estimated glomerular filtration rate <60; urine protein ≥1+), and questionnaire assessment of stroke (CHA2DS2-VASc) and sleep apnea (STOP-bang) risk. RESULTS: Of the 1,114 individuals screened (n=632, 56.7% male; n=497, 44.6% Black)), 388 (36%) screened positive for prediabetes or diabetes. Diabetes was previously undiagnosed in 273 (70.4%) of these participants. More than half of the participants (n=680, 62.4%) had an elevated blood pressure reading during the screening, and the majority of these participants (n=445, 65.4%) had not been previously diagnosed with hypertension. In addition, 241 (21.6%) participants were at an increased risk of stroke (CHA2DS2-VASc≥2), and 182 (23.7%) had a STOP-Bang score ≥4, indicating an increased risk of obstructive sleep apnea. CONCLUSIONS: By partnering with local businesses to deliver worksite-based health screenings, high rates of undiagnosed and uncontrolled diabetes and hypertension were identified among the rural, hourly workforce. This worksite-based approach to healthcare access could facilitate early detection of chronic disease, improve patient engagement in the healthcare system, and ultimately yield better long-term public health outcomes.

Disparities in Access to Bariatric Surgery in North Carolina.

BACKGROUND: This study sought to identify factors that contribute to disparities in access to bariatric surgery in North Carolina (NC). METHODS: Using the rate of bariatric surgery in the county with the best health outcome as the reference, we calculated the Surgical Equity Index (SEI) in the remaining counties in NC. RESULTS: Approximately 2.95 million individuals (29%) were obese in NC. There were 992 (.5%) bariatric procedures performed on a population of 194 209 individuals with obesity in the Reference County (RC). The mean SEI for bariatric surgery in NC was .47 (SD .17, range .15-.95). A statistically significant difference was observed in 89 counties. Univariable analyses identified the following variables to be significantly associated with the SEI: percent of population living in rural areas (% rural) (relative rate change in SEI [RR] = .994, 95% CI .92-.997; <.0001), median household income (RR = 1.0, 95% CI = 1.0-1.0; P = .0002), prevalence of diabetes (RR = .947, 95% CI .917-.977; .0006), the primary care physician ratio (RR = .995, 95% CI .991-.998; P = .006), and percent uninsured adults (RR = .955, 95% CI .927-.985; P = .003). By multivariable hierarchical regression analysis, only the % rural remained statistically associated with a low SEI (RR = .995 per 1% increase in % rural, 95% CI = .992, .998; P = .0002). DISCUSSION: The percent rural is the most significant predictor of disparities in access to bariatric surgery. For every 1% increase in % rural, the rate of surgery decreased by .5%. Understanding the characteristics of rurality that are barriers to access is crucial to mitigate disparities in bariatric surgical access in NC.

The Use of the Acute Stroke Management Questionnaire to Measure Acute Care Nurses' Stroke Knowledge.

ABSTRACT: BACKGROUND: Nurses are key in identifying and treating in-hospital strokes (IHSs). Delayed treatment times and poor patient outcomes are associated with IHSs. Information is needed on nurses' stroke knowledge and the objective measurement of stroke knowledge using a validated tool. The Acute Stroke Management Questionnaire (ASMaQ) was recently developed to test stroke knowledge of healthcare professionals but has not been used on a nursing-specific population. METHODS: Through online surveying and use of ASMaQ, we will measure stroke knowledge of nurses caring for adult, hospitalized patients in an urban, southeast US health system. RESULTS: Total N is 196. Most participants (74.5%, n = 146) never worked on a stroke floor; however, almost all (95.9%, n = 188) cared for a stroke patient in the past. Most participants (65.3%, n = 128) reported receiving prelicensure stroke education, and 98.5% (n = 193) received postlicensure stroke education. Acute Stroke Management Questionnaire total scores ranged from 93 to 133 (mean [SD], 117.35 [8.15]). Most participants scored in the good stroke knowledge range for all 3 ASMaQ domains and total ASMaQ score. CONCLUSION: The online delivery of the ASMaQ was successful in testing nurses' stroke knowledge, and nurses were shown to have good stroke knowledge. Future initiatives should focus on discerning whether certain nurse characteristics predict higher or lower levels of stroke knowledge to help inform educational initiatives to improve IHS outcomes.