Implementation of a Novel Residency-Based Electrocardiogram Curriculum Based on Free Open Access Content.

BACKGROUND: Interpretation of the electrocardiogram (ECG) is fundamental in the practice and teaching of emergency medicine. Previous studies have shown that providers of all levels have expressed interest in additional education with ECGs. Asynchronous learning has been shown to be beneficial for improving residents' ability to recognize findings of acute myocardial ischemia. OBJECTIVES: The goal of the study was to know whether a new format based on free, online content would improve residents' ability to interpret ECGs. METHODS: In this 1-year educational pilot study at a single urban teaching hospital, resident physicians participated in a longitudinal curriculum based on free, online content, which was delivered to them electronically on a weekly basis. The study was conducted during the 2016-2017 academic year. Prior to and after the study period, their subjective attitudes toward ECG interpretation, and their objective ability to interpret them successfully, were assessed. RESULTS: Of 42 residents, 25 (59.5%) completed the pre- and post-ECG testing. During the study period, trainees demonstrated improvement in both their subjective attitude toward ECG interpretation and their objective ability to interpret various abnormalities. CONCLUSIONS: Despite some important limitations, we believe this study represents an essential step in the development of training methods for the modern emergency medicine trainee.

Rate of Successful Shoulder Reduction on First Confirmatory Imaging in the Emergency Department.

BACKGROUND: Management of acute shoulder dislocation in the emergency department (ED) is common. OBJECTIVE: This study describes the rate, risk factors, and length of stay (LOS) associated with shoulder dislocation reduction failure in the ED. METHODS: The study was a retrospective case-control study of patients 18 years and older presenting to the ED with acute shoulder dislocation who underwent attempted reduction. Patients with successful reduction on post-reduction first confirmatory imaging are compared with those requiring multiple attempts. RESULTS: Of 398 ED encounters when a shoulder reduction was attempted in the ED, 18.8% (75/398 [95% CI 15.2-22.9%]) required multiple reduction attempts. Patients with successful reduction on first confirmatory imaging were more commonly male (80.2% [95% CI 75.6-84.3%] vs. 68.0% [95% CI 56.8-77.8%]; p = 0.0220), discharged home from the ED (95.4% [95% CI 92.6-97.3%] vs. 84.0% [95% CI 74.4-91.0%]; p = 0.0004), reduced using a traction/countertraction technique (42.1% [95% CI 36.8-47.6%] vs. 29.3% [95% CI 19.9-40.4%]; p = 0.0415), and less likely to have a pre-reduction fracture (26.0% [95% CI 21.4-31.0%] vs. 45.3% [95% CI 34.4-56.7%]; p = 0.0010). Mean length of stay (LOS) for those with successful reduction on first confirmatory imaging was 2 hours and 8 minutes shorter than for those with more than one attempt (p < 0.001). CONCLUSIONS: The rate of failed first-pass reduction is higher than previously reported. Furthermore, the ED LOS was significantly longer in patients requiring multiple attempts. Knowledge of the failure rate and risk factors may raise physician awareness and guide future studies evaluating approaches for verification of reduction success.

Factor Analysis in Distinguishing Coronavirus Disease 2019 From Other Influenza-like Illness Using a Validated Patient-Reported Outcome Instrument FLU-PRO Plus: A Prospective Real-world Cohort Study.

BACKGROUND/OBJECTIVE: InFLUenza Patient-reported Outcome (FLU-PRO Plus) is a 34-item patient-reported outcome instrument designed to capture the intensity and frequency of viral respiratory symptoms. This study evaluates whether FLU-PRO Plus responses could discriminate between symptoms of coronavirus disease 2019 (COVID-19) and influenza-like illness (ILI) with no COVID diagnosis, as well as forecast disease progression. METHODS: FLU-PRO Plus was administered daily for 14 days. Exploratory factor analysis was used to reduce the FLU-PRO Plus responses on the first day to 3 factors interpreted as "symptom clusters." The 3 clusters were used to predict COVID-19 versus ILI diagnosis in logistic regression. Correlation between the clusters and quality of life (QoL) measures was used to assess concurrent validity. The timing of self-reported return to usual health in the 14-day period was estimated as a function of the clusters within COVID-19 and ILI groups. RESULTS: Three hundred fourteen patients completed day 1 FLU-PRO Plus, of which 65% had a COVID-19 diagnosis. Exploratory factor analysis identified 3 symptom clusters: (1)general Body, (2) tracheal/bronchial, and (3) nasopharyngeal. Higher nasopharyngeal scores were associated with higher odds of COVID-19 compared with ILI diagnosis [adjusted odds ratio = 1.61 (1.21, 2.12)]. Higher tracheal/bronchial scores were associated with lower odds of COVID-19 [0.58 (0.44, 0.77)]. The 3 symptom clusters were correlated with multiple QoL measures ( r = 0.14-0.56). Higher scores on the general body and tracheal/bronchial symptom clusters were associated with prolonged time to return to usual health [adjusted hazard ratios: 0.76 (0.64, 0.91), 0.80 (0.67, 0.96)]. CONCLUSION: Three symptom clusters identified from FLU-PRO Plus responses successfully discriminated patients with COVID-19 from non-COVID ILI and were associated with QoL and predicted symptom duration.

Systematic surveillance of patient-reported symptoms of viral respiratory tract infectious Syndromes in diverse populations.

BACKGROUND: Patient reported outcome measures (PROM) can improve patient care and be crucial for symptom tracking especially during disease outbreaks. FLU-PRO Plus is a validated PROM used to track viral respiratory symptoms. Our study aimed to evaluate the feasibility of using FLU-PRO© Plus, to track symptoms across three healthcare systems. METHODS: The prospective, longitudinal study recruited adults between February-May 2021 from HealthPartners Institute (HP), Kaiser Permanente Georgia (KPGA), and Kaiser Permanente Mid-Atlantic States (KPMAS). Adult members were eligible if they had a positive lab or diagnosis for either COVID-19 or influenza-like illness (ILI) or exhibited 2 + viral respiratory symptoms. Descriptive statistics were calculated to describe the patient characteristics for participants that were eligible for FLU-PRO Plus, successfully contacted, attempted to log in to the FLU-PRO Plus website, and participants who completed FLU-PRO Plus Day 1. Bivariable and multivariable logistic regression using PROC GLIMMIXX investigated the patient characteristics associated with (1) successful contact and (2) FLU-PRO Plus Day 1 completion. RESULTS: We identified a total of 15,650 eligible participants during the enrollment period: 9,582 from HP, 1,740 from KPGA, and 4,328 from KPMAS. Among the total of 409 eligible adults who attempted to participate in FLU-PRO Plus, 317 completed FLU-PRO Plus Day 1. Among the 317 individuals that completed FLU-PRO Plus Day 1, 205 (67.5%) were diagnosed with COVID-19; 112 adults diagnosed with COVID-19 completed FLU-PRO Plus Day 14. Among adults successfully contacted, adults aged 35-64 (OR = 1.40, 95% CI 1.05, 1.87), females (OR = 1.77, 95% CI 1.38, 2.27), and adults diagnosed with COVID-19 (OR = 1.66, 95% CI 1.27, 2.17) had higher odds of completing FLU-PRO Plus Day 1; Asian adults (OR = 0.38, 95% CI 0.19, 0.76) and Black and African American adults (OR = 0.33, 95% CI 0.19, 0.76) had lower odds compared to White adults. CONCLUSION: Our study reports on the feasibility of patients across three integrated healthcare systems utilizing FLU-PRO Plus to monitor their respiratory symptoms. Patient reported outcome measures (PROM) can improve patient care, quality of life, and reduce the strain of limited resources on healthcare systems. Future FLU-PRO Plus studies should develop an implementation strategy to fully integrate FLU-PRO Plus within clinical care and patient management.

Saliva-based SARS-CoV-2 serology using at-home collection kits returned via mail.

Serology provides tools for epidemiologic studies, and may have a role in vaccine prioritization and selection. Automated serologic testing of saliva, especially specimens that are self-collected at home and sent to a laboratory via the mail without refrigeration, could be a highly-scalable strategy for population-wide testing. In this prospective study, non-vaccinated patients were recruited after PCR testing to self-collect saliva and return their specimens via mail. Longitudinal specimens were analyzed in order to monitor seroconversion in the weeks after a diagnostic PCR test for SARS-CoV-2. Diverse users self-collected saliva and returned specimens via mail in compliance with shipping regulations. At our pre-established threshold (0.963 AU/mL), salivary IgG reactivity to full-length spike protein achieved 95.8% sensitivity and 92.4% specificity at 2-4 weeks after diagnostic testing, which is comparable to the typical sensitivity and specificity achieved for serum testing. Reactivity to N antigen also was detected with 92.6% sensitivity and 90.7% specificity at 4-8 weeks after diagnostic testing. Moreover, serologic testing for endemic coronaviruses performed in multiplex with SARS-CoV-2 antigens has the potential to identify samples that may require retesting due to effects of pre-analytical factors. The easy-to-use saliva collection kit, coupled with thresholds for positivity and methods of flagging samples for retest, provides a framework for large-scale serosurveillance of SARS-CoV-2.

Development and Validation of a Healthcare Utilization-Based Algorithm to Identify Acute Exacerbations of Chronic Obstructive Pulmonary Disease.

Introduction: Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) are important events that may precipitate other adverse outcomes. Accurate AECOPD event identification in electronic administrative data is essential for improving population health surveillance and practice management. Objective: Develop codified algorithms to identify moderate and severe AECOPD in two US healthcare systems using administrative data and electronic medical records, and validate their performance by calculating positive predictive value (PPV) and negative predictive value (NPV). Methods: Data from two large regional integrated health systems were used. Eligible patients were identified using International Classification of Diseases (Ninth Edition) COPD diagnosis codes. Two algorithms were developed: one to identify potential moderate AECOPD by selecting outpatient/emergency visits associated with AECOPD-related codes and antibiotic/systemic steroid prescriptions; the other to identify potential severe AECOPD by selecting inpatient visits associated with corresponding codes. Algorithms were validated via patient chart review, adjudicated by a pulmonologist. To estimate PPV, 300 potential moderate AECOPD and 250 potential severe AECOPD events underwent review. To estimate NPV, 200 patients without any AECOPD identified by the algorithms (100 patients each without moderate or severe AECOPD) during the two years following the index date underwent review to identify AECOPD missed by the algorithm (false negatives). Results: The PPVs (95% confidence interval [CI]) for both moderate and severe AECOPD were high: 293/298 (98.3% [96.1-99.5]) and 216/225 (96.0% [92.5-98.2]), respectively. NPV was lower for moderate AECOPD (75.0% [65.3-83.1]) than for severe AECOPD (95.0% [88.7-98.4]). Results were consistent across both healthcare systems. Conclusion: This study developed healthcare utilization-based algorithms to identify moderate and severe AECOPD in two separate healthcare systems. PPV for both algorithms was high; NPV was lower for the moderate algorithm. Replication and consistency of results across two healthcare systems support the external validity of these findings.

There's more than one way to build a medical home.

OBJECTIVES: The patient-centered medical home (PCMH) is a critical aspect of delivery system reform. The purpose of this study was to examine variations in achievement of PCMH requirements across different types of practices. STUDY DESIGN: We used data on the points awarded, by standard and element, to 2369 practices recognized by September 2013 under the National Committee for Quality Assurance PCMH program, 2011 version. METHODS: We tested for differences across practice types in the percentage of practices achieving full credit for 27 element scores using likelihood ratio χ2 tests with an adjustment for multiple comparisons. RESULTS: Of the practices, 45% were affiliated with health systems, 22.6% were community health centers, and 5.3% were military treatment facilities. The remaining practices were physician-owned, 10% with at least 5 clinicians and 17.3% with less than 5. Even among Level 3 practices, there were significant differences across the practice types in the percentage of practices achieving full credit for 19 of 27 elements. Different types of practices demonstrated strengths in different medical home capabilities. CONCLUSIONS: Even among practices with the highest level of PCMH achievement, there are variations in key medical home capabilities. While research is needed to identify PCMH components having the greatest impact on outcomes, this research shows that the NCQA model is flexible enough to adapt to the strengths and needs of practices and the patients they serve. Efforts to support widespread dissemination of the PCMH model and practice transformation should recognize and build on these variations.