The Safety, Efficacy, and Expediency of Albuterol Nebulizer Administration by BLS Providers.

INTRODUCTION: Many Emergency Medical Service (EMS) systems in the United States restrict albuterol therapy by scope of practice to Advanced Life Support (ALS). The State of Delaware has a two-tiered EMS system in which Basic Life Support (BLS) arrives on scene prior to ALS in the majority of respiratory distress calls. STUDY OBJECTIVE: This study sought to evaluate the safety, efficacy, and expedience of albuterol administration by BLS compared to ALS. METHODS: This retrospective observational study used data collected from July 2015 through January 2017 throughout a State BLS albuterol pilot program. Pilot BLS agencies participated in a training session on the indications and administration of albuterol, and were then authorized to carry and administer nebulized albuterol. Heart rate (HR), respiratory rate (RR), and pulse oximetry (spO2) were obtained before and after albuterol administration by BLS and ALS. The times from BLS arrival to the administration of albuterol by pilot BLS agencies versus ALS were compared. Study encounters required both BLS and ALS response. Data were analyzed using chi-square and t-test as appropriate. RESULTS: Three hundred eighty-eight (388) incidents were reviewed. One hundred eighty-five (185) patients received albuterol by BLS pilot agencies and 203 patients received albuterol by ALS. Of note, the population treated by ALS was significantly older than the population treated by BLS (61.9 versus 51.6 years; P <.001). A comparison of BLS arrival time to albuterol administration time showed significantly shorter times in the BLS pilot group compared to the ALS group (3.50 minutes versus 8.00 minutes, respectively; P <.001). After albuterol administration, BLS pilot patients showed improvements in HR (P <.01), RR (P <.01), and spO2 (P <.01). Alternately, ALS treatment patients showed improvement in spO2 (P <.01) but not RR (P = .17) or HR (P = 1.00). Review by ALS or hospital staff showed albuterol was indicated in 179 of 185 BLS patients and administered correctly in 100% of these patients. CONCLUSION: Patients both received albuterol significantly sooner and showed superior improvements in vital signs when treated by BLS agencies carrying albuterol rather than by BLS agencies who required ALS arrival for albuterol. Two-tiered EMS systems should consider allowing BLS to carry and administer albuterol for safe, effective, and expedient treatment of respiratory distress patients amenable to albuterol therapy.

Dodging the bundle-Persistent healthcare-associated rhinovirus infection throughout the pandemic.

INTRODUCTION: Healthcare-associated viral infections (HAVI) are a common cause of patient harm in the pediatric population. We implemented a HAVI prevention bundle in 2015, which included 6 core elements: caregiver screening, symptom-based isolation, personal protective equipment (PPE), hand hygiene, staff illness procedures, and monitoring of environmental cleanliness. Enhanced bundle elements were introduced at the start of the COVID-19 pandemic, which provided an opportunity to observe the effectiveness of the bundle with optimal adherence to prevention practices, and to measure the impact on respiratory HAVI epidemiology. METHODS: Respiratory HAVIs were confirmed through review of medical records and application of the National Health Safety Network (NHSN) surveillance criteria for upper respiratory infections (URIs) with predetermined incubation periods for unit attribution. Descriptive statistics of the study population were examined, and comparative analyses were performed on demographic and process metrics. Data analysis was conducted using R statistical software. RESULTS: We observed an overall decrease in respiratory HAVI of 68%, with prepandemic rates of 0.19 infections per 1,000 patient significantly decreased to a rate of 0.06 per 1,000 patient days in the pandemic period (P < .01). Rhinovirus made up proportionally more of our respiratory HAVI in the pandemic period (64% vs 53%), with respiratory HAVI secondary only to rhinovirus identified during 8 of 16 months in the pandemic period. Compliance with our HAVI prevention bundle significantly improved during pandemic period. CONCLUSIONS: Enhancement of our HAVI bundle during the COVID-19 pandemic contributed toward significant reduction in nosocomial transmission of respiratory HAVI. Even with prevention practices optimized, respiratory HAVIs secondary to rhinovirus continued to be reported, likely due to the capacity of rhinovirus to evade bundle elements in hospital, and infection prevention efforts at large in the community, leaving vulnerable patients at continued risk.

Prediction model for COVID-19 patient visits in the ambulatory setting.

Objective: Healthcare systems globally were shocked by coronavirus disease 2019 (COVID-19). Policies put in place to curb the tide of the pandemic resulted in a decrease of patient volumes throughout the ambulatory system. The future implications of COVID-19 in healthcare are still unknown, specifically the continued impact on the ambulatory landscape. The primary objective of this study is to accurately forecast the number of COVID-19 and non-COVID-19 weekly visits in primary care practices. Materials and Methods: This retrospective study was conducted in a single health system in Delaware. All patients' records were abstracted from our electronic health records system (EHR) from January 1, 2019 to July 25, 2020. Patient demographics and comorbidities were compared using t-tests, Chi square, and Mann Whitney U analyses as appropriate. ARIMA time series models were developed to provide an 8-week future forecast for two ambulatory practices (AmbP) and compare it to a naïve moving average approach. Results: Among the 271,530 patients considered during this study period, 4,195 patients (1.5%) were identified as COVID-19 patients. The best fitting ARIMA models for the two AmbP are as follows: AmbP1 COVID-19+ ARIMAX(4,0,1), AmbP1 nonCOVID-19 ARIMA(2,0,1), AmbP2 COVID-19+ ARIMAX(1,1,1), and AmbP2 nonCOVID-19 ARIMA(1,0,0). Discussion and Conclusion: Accurately predicting future patient volumes in the ambulatory setting is essential for resource planning and developing safety guidelines. Our findings show that a time series model that accounts for the number of positive COVID-19 patients delivers better performance than a moving average approach for predicting weekly ambulatory patient volumes in a short-term period.

Cause for Concern: Behavioral and Psychological Symptoms of Dementia in Delaware's Long-Term Care Facilities.

Introduction: Much of the suffering and expense associated with treatment of persons with dementia (Major Neurocognitive Disorder) arises from associated noncognitive behavioral and psychological symptoms of dementia (BPSD). Although a consensus on the prevalence of BPSD is lacking, evidence suggests that most people with dementia will manifest one or more of these symptoms during the disorder's progression. BPSD raise the cost of care by leading to more frequent emergency room visits, more and longer hospitalizations, and earlier admission to long-term care facilities (LTCF). Treatment of BPSD presents a stressful challenge in LTCFs. We sought to investigate the care burden of BPSD in Delaware's LTCFs and to gather data that can inform management approaches. Methods: Using REDCap, we created an anonymous cross-sectional survey designed for completion by LTCF administrators. The Delaware Health Care Facilities Association (DHCFA) and Delaware's Division of Services for Aging and Adults with Physical Disabilities (DSAAPD) encouraged participation. A link to the survey was emailed to the administrators of 81 facilities in Delaware. The resulting data were evaluated using descriptive statistics. Results: Forty-four of the 81 facilities surveyed opened the survey link. Thirty-eight facilities answered at least some of the questions, and 19 surveys were fully completed. The reported average prevalence of BPSD among Delaware LTCF residents with dementia was 49.3% (SD 28.9). The five most frequently reported BPSD symptoms were anxiety, agitation, wandering, dysphoria/depression, and appetite/eating abnormalities. All facilities reported employing a spectrum of pharmacologic and non-pharmacologic management strategies. Twenty-two of 24 respondents (91.7%) reported that behavioral health consultation was available at their facilities and 18 of 20 respondents (90.0%) indicated that they provided training on how to manage residents with BPSD. Conclusion: BPSD are a pervasive concern among Delaware's LTCFs. LTCFs may benefit from the development of training programs and dissemination of treatment guidelines incorporating evidence-based interventions and their implementation in managing BPSD to improve care, decrease stress on residents and caregivers, and reduce some avoidable health care costs.

Validation of a 2-Item Food Insecurity Screen Among Adult General Medicine Outpatients.

Food insecurity is defined as limited access to food and is associated with adverse physical, social, and emotional health outcomes. As social needs are addressed in heath care, efficient methods to identify patients living in food insecure households are necessary. A 2-item screen (HFSS-2) derived from the US Department of Agriculture Household Food Security Scale (HFSS-18) has been validated among parents of pediatric patients with a sensitivity of 97% and specificity of 83%. The objective was to validate the HFSS-2 in adult general medicine outpatients. HFSS-18 was administered to a sample of adult general medicine outpatients in Delaware from 2018 to 2019. The authors evaluated the sensitivity and specificity of the HFSS-2. Multivariable logistic regression was used to calculate convergent validity between the HFSS-18 and the HFSS-2. Three hundred ninety patients were approached with 295 (75%) enrolling in this study; 17.6% (52/295) were food insecure. A confirmatory response to either of the 2 items from the HFSS-2 had a sensitivity of 98% (95% CI: 94%, 100%) and specificity of 91% (95% CI: 87%, 94%). Food insecurity was associated with increased odds of coronary heart disease (adjusted odds ratio [AOR] 4.63; 95% CI: 1.55, 13.79; AOR 4.19; 95% CI: 1.51, 11.59) and diabetes (AOR 4.19; 95% CI: 1.94, 9.08; AOR 3.73; 95% CI: 1.83, 7.92) using both the HFSS-18 and the HFSS-2. HFSS-2 was found to be highly sensitive and specific. This is the first study to validate this tool in this population that the authors are aware of.

Examining the relationship between food environment and gestational diabetes.

BACKGROUND: Studies have shown an association between the incidence of gestational diabetes and living in neighborhoods oversaturated with unhealthy foods. OBJECTIVE: This study sought to determine if the food environment also affects the management of gestational diabetes. We hypothesized that living in areas with a higher quality of food decreased the risk of requiring medication to treat gestational diabetes. STUDY DESIGN: This was a retrospective cohort study of singleton births at the Christiana Care Health System between 2015 and 2018. Patients with gestational diabetes who live in Delaware (N=1327) were geocoded and classified according to their census tract food environment. The food environment was assessed using the modified Retail Food Environment Index, which measures the percentage of healthy food retailers among all food retailers within a half-mile radius of the census tract boundaries. The modified Retail Food Environment Index scores were divided into 3 categories: poor (modified Retail Food Environment Index score, 0-3), average (modified Retail Food Environment Index score, 4-10), and good or above average (modified Retail Food Environment Index score, ≥11) food environments. The primary outcome was the prevalence of A2 gestational diabetes mellitus. Several neonatal and obstetrical outcomes were also examined including type II diabetes mellitus (defined as a 2-hour glucose tolerance test with at least 1 value above the threshold), cesarean delivery, shoulder dystocia, admission to the neonatal intensive care unit, neonatal hypoglycemia, neonatal hyperbilirubinemia, neonatal respiratory distress syndrome, and macrosomia. RESULTS: A total of 689 (52%) women were diagnosed as having A2 gestational diabetes mellitus. Women in the average or good or above average food environment groups had a lower prevalence of A2 gestational diabetes mellitus than women in the poor food environment group (modified Retail Food Environment Index score, 4-10 [adjusted odds ratio, 0.58; 95% confidence interval, 0.37-0.92] and modified Retail Food Environment Index score, ≥11 [adjusted odds ratio, 0.56; 95% confidence interval, 0.40-0.82]). They also had a lower prevalence of type II diabetes mellitus (modified Retail Food Environment Index score, 4-10 [adjusted odds ratio, 0.25; 95% confidence interval, 0.09-0.72] and modified Retail Food Environment Index score, ≥11 [adjusted odds ratio, 0.48; 95% confidence interval, 0.27-0.86]). There were no differences in the other secondary outcomes of interest. CONCLUSION: The food environment affects the requirement for medication to obtain glycemic levels that are within the target range for those with gestational diabetes.

Implementing Antibiotic Stewardship in a Network of Urgent Care Centers.

BACKGROUND: Most antibiotics are prescribed in outpatient settings, including urgent care clinics (UCCs); however, few UCCs have described implementing antibiotic stewardship. This study describes interventions to reduce total antibiotic and azithromycin use in a UCC network. METHODS: The researchers conducted a prospective performance improvement project in five UCCs in Delaware, with > 40 providers and > 75,000 visits annually. In April 2017 all providers received in-person education on guideline-recommended management of common infections. The UCC lead physician performed chart audits and provided group and individual feedback. Individual antibiotic utilization rates were provided beginning in February 2018, and chart audits ceased in May 2018. Patient education included posters in waiting and exam rooms, discharge materials, and external website revisions. The researchers used control charts to analyze trends in prescribing over time, and calculated rate ratios (RRs) between pre-/early, mid- and postintervention periods. RESULTS: Compared to the pre-/early intervention study period (54.7 prescriptions per 100 visits), total antibiotic use declined to 40.2 (RR, 0.74; 95% confidence interval [CI] = 0.72-0.75) in the mid-intervention period and to 35.0 (RR, 0.42; 95% CI = 0.40-0.44) in the postintervention period. Azithromycin use declined from 8.5 prescriptions/100 visits to 3.5 (RR 0.64; 95% CI = 0.63-0.65) and 1.9 (RR 0.22; 95% CI = 0.21-0.24), respectively. The control charts indicated decreasing mean antibiotic prescribing rates as well as decreased variability. CONCLUSION: A multifaceted and iterative approach significantly reduced prescribing of all antibiotics, including azithromycin, regardless of diagnosis. Although the approach was initially resource-intensive, sending prescribing data directly to providers automated the process without an observed rebound in prescribing.

Social Determinants of Health, From Assessment to Action:: A Review of 3 Studies from the Value Institute at ChristianaCare.

INTRODUCTION: The COVID-19 crisis highlights the importance of screening for and managing adverse social determinants of health (SDoH). Many of the same SDoH items that put individuals at increased risk of COVID-19 infection have increased dramatically due to the economic repercussions of slowing the viral spread. METHODS: This is a review of 3 studies conducted by the Health Services Research Core in the Value Institute at ChristianaCare. The studies had 3 overarching goals: 1) to conduct a survey of primary care providers in Delaware to determine their current methods for collection of social determinants data, 2) to validate a 2-item screening tool for food insecurity, and 3) to assess the geographic distribution of patients with food insecurity. RESULTS: Our studies have demonstrated the importance of screening for SDoH by highlighting the inconsistent data collection of SDoH items, examining the prevalence of food insecurity and validating a standardized instrument for rapid data collection, as well as displaying geospatial differences in food insecurity prevalence across New Castle County, DE. PUBLIC HEALTH IMPLICATIONS: The COVID-19 pandemic has increased the prevalence of these social determinants in our communities. Therefore, it is imperative to employ screening and geospatial strategies to address the SDoH implications of the novel coronavirus.

Creation of a Systems-Level Checklist to Address Stress and Violence in Fire-Based Emergency Medical Services Responders.

Between 57 and 93% of Emergency Medical Services (EMS) responders reported having experienced verbal or physical violence at least once in their career. Therefore, the primary goal of this study was to develop a systems-level checklist for violence against fire-based EMS responders using findings from a systematic literature review and outcomes from a national stakeholder meeting. First, a literature review of violence against EMS responders resulted in an extensive list of 162 academic and industrial publications. Second, from these sources, 318 potential candidate items were developed. Third, Q-methodology was employed to categorize, refine, and de-duplicate the items. Fourth, ThinkLet systems facilitated consensus-building, collaboration, and evaluation of the checklist with diverse subject matter experts representing 27 different EMS organizations, government, academia, labor unions, and fire departments during a two-day consensus conference. The final SAVER checklist contains 174 items organized by six phases of EMS response: pre-event, traveling to the scene, scene arrival, patient care, assessing readiness to return to service, and post-event. So called pause points for the individual EMS responder were incorporated at the end of each of phase. Overall, 47.5% of votes across all phases rated items as most feasible, 33.7% as less feasible, and 11.6% as extremely difficult. The SAVER systems-level Checklist is an innovative application of traditional checklists, designed to shift the onus of safety and health from that of the individual first responder to the organization by focusing on actions that leadership can institute through training, policy, and environmental modifications.