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Aims This study aimed to assess short‐term outcomes among emergency department (ED) patients with acute heart failure (AHF) by preserved (≥50%) vs. reduced (

Background Resource utilization among emergency department (ED) patients with possible coronary chest pain is highly variable. Methods and Results Controlled cohort study amongst 21 EDs of an integrated healthcare system examining the implementation of a graded coronary risk stratification algorithm (RISTRA‐ACS [risk stratification for acute coronary syndrome]). Thirteen EDs had access to RISTRA‐ACS within the electronic health record (RISTRA sites) beginning in month 24 of a 48‐month study period (January 2016 to December 2019); the remaining 8 EDs served as contemporaneous controls. Study participants had a chief complaint of chest pain and serum troponin measurement in the ED. The primary outcome was index visit resource utilization (observation unit or hospital admission, or 7‐day objective cardiac testing). Secondary outcomes were 30‐day objective cardiac testing, 60‐day major adverse cardiac events (MACE), and 60‐day MACE‐CR (MACE excluding coronary revascularization). Difference‐in‐differences analyses controlled for secular trends with stratification by estimated risk and adjustment for risk factors, ED physician and facility. A total of 154 914 encounters were included. Relative to control sites, 30‐day objective cardiac testing decreased at RISTRA sites among patients with low (≤2%) estimated 60‐day MACE risk (−2.5%, 95% CI −3.7 to −1.2%, P 2%) estimated risk (+2.8%, 95% CI +0.6 to +4.9%, P =0.014), without significant overall change (−1.0%, 95% CI −2.1 to 0.1%, P =0.079). There were no statistically significant differences in index visit resource utilization, 60‐day MACE or 60‐day MACE‐CR. Conclusions Implementation of RISTRA‐ACS was associated with better allocation of 30‐day objective cardiac testing and no change in index visit resource utilization or 60‐day MACE. Registration URL: https://www.clinicaltrials.gov ; Unique identifier: NCT03286179.

Author(s): Kene, Mamata; Arasu, Vignesh A; Mahapatra, Ajit K; Huang, Jie; Reed, Mary | Abstract: Introduction: Acute kidney injury (AKI) after intravenous contrast administration for computed tomography (CT) occurs infrequently, but certain patients may be susceptible. This study evaluated AKI incidence among emergency department (ED) patients with pre-existing chronic kidney disease (CKD) undergoing CT exams.Methods: This retrospective cohort study in an integrated healthcare system included ED patients previously diagnosed with CKD stages 3-5 (estimated glomerular filtration rate l60 milliliters per minute per 1.73 meters squared over at least three months), undergoing CT exams with or without intravenous contrast, from January 1, 2013–December 31, 2017. We excluded patients with CT prior to (30 days) or following (14 days) index CT and missing serum creatinine (sCr) measurements. We applied propensity score matching, and then multivariable regression adjustment for post-CT ED disposition and ED diagnosis, to calculate adjusted risk of AKI. Secondary patient-centered outcomes included 30-day mortality, end-stage renal disease (ESRD) diagnosis, and dialysis initiation.Results: Among 103,573 eligible ED patients undergoing CT, propensity score matching yielded 5,589 pairs. Adjusted risk ratio (ARR) for AKI was higher overall for contrast-enhanced CT (1.60; 95% confidence interval [CI], 1.43-1.79). However, secondary outcomes were infrequent: 19/5,589 non-contrast vs 40/5,589 contrast patients with new dialysis initiation at 30 days (adjusted risk 0.3% vs 0.7%; adjusted risk reduction 0.4%; 95% CI, 0.1%-0.7%).Conclusion: In ED patients with chronic kidney disease undergoing CT, intravenous contrast was associated with higher overall adjusted risk of AKI, but patient-centered secondary outcomes were rare. The clinical significance of transient kidney injury after CT is unclear, although patients with advanced chronic kidney disease appear to have elevated risk.

The substantial expansion of secure messaging (SM) via the patient portal in the last decade suggests that it is becoming a standard of care, but few have examined SM use longitudinally. We examined SM patterns among a diverse cohort of patients with diabetes (N = 19 921) and the providers they exchanged messages with within a large, integrated health system over 10 years (2006-2015), linking patient demographics to SM use. We found a 10-fold increase in messaging volume. There were dramatic increases overall and for patient subgroups, with a majority of patients (including patients with lower income or with self-reported limited health literacy) messaging by 2015. Although more physicians than nurses and other providers messaged throughout the study, the distribution of health professions using SM changed over time. Given this rapid increase in SM, deeper understanding of optimizing the value of patient and provider engagement, while managing workflow and training challenges, is crucial.

Introduction: Syncope is common among emergency department (ED) patients with acute pulmonary embolism (PE) and indicates a higher acuity and worse prognosis than in patients without syncope. Whether presyncope carries the same prognostic implications has not been established. We compared incidence of intensive care unit (ICU) admission in three groups of ED PE patients: those with presyncope; syncope; and neither. Methods: This retrospective cohort study included all adults with acute, objectively confirmed PE in 21 community EDs from January 2013–April 2015. We combined electronic health record extraction with manual chart abstraction. We used chi-square test for univariate comparisons and performed multivariate analysis to evaluate associations between presyncope or syncope and ICU admission from the ED, reported as adjusted odds ratios (aOR) with 95% confidence intervals (CI). Results: Among 2996 PE patients, 82 (2.7%) had presyncope and 109 (3.6%) had syncope. ICU admission was similar between groups (presyncope 18.3% vs syncope 25.7%) and different than their non-syncope counterparts (either 22.5% vs neither 4.7%; p

Key Points Question What are the perceptions and experiences of multidisciplinary cancer care clinicians (medical oncologists, radiation oncologists, surgical oncologists, oncology navigators, and cancer survivorship) with regard to telehealth visits and exchanging secure messages with patients during the COVID-19 pandemic? Findings In this survey study of 202 multidisciplinary cancer care clinicians, most were satisfied with telehealth and wished to maintain or increase future use. Despite being thought to promote a weaker patient-clinician connection, telehealth was considered appropriate by most to handle the greater part of patient assessment and care; however, some clinicians preferred in-person visits for certain activities. Meaning Results of this survey study suggest that telehealth is well accepted by various cancer care clinicians, and is likely to remain used to some extent for most aspects of cancer care in the future., Importance Telehealth use including secure messages has rapidly expanded since the COVID-19 pandemic, including for multidisciplinary aspects of cancer care. Recent reports described rapid uptake and various benefits for patients and clinicians, suggesting that telehealth may be in standard use after the pandemic. Objective To examine attitudes and perceptions of multidisciplinary cancer care clinicians toward telehealth and secure messages. Design, Setting, and Participants Cross-sectional specialty-specific survey (ie, some questions appear only for relevant specialties) among multidisciplinary cancer care clinicians, collected from April 29, 2020, to June 5, 2020. Participants were all 285 clinicians in the fields of medical oncology, radiation oncology, surgical oncology, survivorship, and oncology navigation from all 21 community cancer centers of Kaiser Permanente Northern California. Main Outcomes and Measures Clinician satisfaction, perceived benefits and challenges of telehealth, perceived quality of telehealth and secure messaging, preferred visit and communication types for different clinical activities, and preferences regarding postpandemic telehealth use. Results A total of 202 clinicians (71%) responded (104 of 128 medical oncologists, 34 of 37 radiation oncologists, 16 of 62 breast surgeons, 18 of 28 navigators, and 30 of 30 survivorship experts; 57% (116 of 202) were women; 73% [147 of 202] between ages 36-55 years). Seventy-six percent (n = 154) were satisfied with telehealth without statistically significant variations based on clinician characteristics. In-person visits were thought to promote a strong patient-clinician connection by 99% (n = 137) of respondents compared with 77% (n = 106) for video visits, 43% (n = 59) for telephone, and 14% (n = 19) for secure messages. The most commonly cited benefits of telehealth to clinicians included reduced commute (79%; n = 160), working from home (74%; n = 149), and staying on time (65%; n = 132); the most commonly cited negative factors included internet connection (84%; n = 170) or equipment problems (72%; n = 146), or physical examination needed (64%; n = 131). Most respondents (59%; n = 120) thought that video is adequate to manage the greater part of patient care in general; and most deemed various telehealth modalities suitable for any of the queried types of patient-clinician activities. For some specific activities, less than half of respondents thought that only an in-person visit is acceptable (eg, 49%; n = 66 for end-of-life discussion, 35%; n = 58 for new diagnosis). Most clinicians (82%; n = 166) preferred to maintain or increase use of telehealth after the pandemic. Conclusions and Relevance In this survey of multidisciplinary cancer care clinicians in the COVID-19 era, telehealth was well received and often preferred by most cancer care clinicians, who deemed it appropriate to manage most aspects of cancer care. As telehealth use becomes routine in some cancer care settings, video and telephone visits and use of asynchronous secure messaging with patients in cancer care has clear potential to extend beyond the pandemic period., This survey study assesses the attitudes and perceptions of multidisciplinary cancer care clinicians (from the fields of medical oncology, radiation oncology, surgical oncology, survivorship, and oncology navigation) toward telehealth and secure messages.

The Patient Protection and Affordable Care Act eliminated cost sharing for preventive services, including colorectal cancer screening for individuals aged 50-75 years with private health insurance. This study examines the impact of the Affordable Care Act's removal of cost sharing for colorectal cancer screening on colorectal cancer incidence and mortality.Trends in colorectal cancer incidence and colorectal cancer‒related mortality were modeled among 2,113,283 Kaiser Permanente Northern California members aged ≥50 years between 2003 and 2016 using an interrupted time-series design. As a sensitivity analysis, a controlled analysis utilized a comparison group of members covered with pre‒Affordable Care Act zero cost sharing for colorectal cancer screening. Analyses were performed in 2019 and 2020.The colorectal cancer incidence dropped by 17% around the time the Affordable Care Act was enacted (change in level incidence rate ratio; 95% CI=0.77, 0.90, 2-sided p-value0.0001), followed by a 3% further decrease per year (95% CI=0.93, 1.00, p=0.05). A similar pattern was observed for colorectal cancer‒related mortality. The controlled results indicated that the elimination of cost sharing for screening due to the Affordable Care Act was associated with greater improvements in colorectal cancer outcomes among members previously covered by health plans with out-of-pocket costs for screening than among those with health plans with zero cost sharing for screening before the Affordable Care Act.The elimination of cost sharing for colorectal cancer screening due to the Affordable Care Act was associated with a decrease in age-, race/ethnicity-, and sex-adjusted colorectal cancer incidence and colorectal cancer‒related mortality, implying that policies that remove barriers to screening, particularly financial burden from cost sharing, can result in improved colorectal cancer outcomes.

This cohort study evaluates whether rates of treatment or follow-up office or emergency visits associated with telemedicine visits differ from those associated with in-person visits in a large integrated health system., Key Points Question In patient-scheduled primary care video or telephone visits with existing physicians, do rates of treatment or follow-up office or emergency visits differ from rates of in-person visits? Findings In this cohort study of 1 131 722 patients, adjusted rates of prescribing and nonmedication orders were significantly lower for telemedicine visits than for clinic visits, with slightly higher rates of follow-up office visits after telemedicine visits but no significant difference in rates of 7-day emergency visits or hospitalizations. Meaning The findings suggest that video or telephone visits may offer a convenient way to address some primary care needs within ongoing patient-physician relationships, without substantially higher rates of follow-up office visits or health events (emergency department visits or hospitalizations)., Importance Telemedicine visits can offer patients convenient access to a clinician, but it is unclear whether treatment differs from that with in-person visits or how often patients require in-person follow-up. Objective To examine whether physician prescribing and orders differ between telemedicine and office visits, whether physicians conducting telemedicine visits are more likely to require in-person follow-up, and whether telemedicine visits are associated with more health events. Design, Setting, and Participants This cohort study included all patients who scheduled primary care appointments through the patient portal of a large integrated health care delivery system newly implementing patient-scheduled video telemedicine visits from January 2016 to May 2018. Main Outcomes and Measures Adjusted rates of any medication prescribed or laboratory tests or imaging ordered and rates of follow-up health care utilization (in-person visits, emergency department visits, and hospitalizations) within 7 days after the index visit, stratified by index primary care visit type, were generated using multivariable adjustment for patient, access, and clinical characteristics. Results This study included 1 131 722 patients (611 821 [54%] female; mean [SD] age, 43 [22] years) with 2 178 440 total appointments (307 888 [14%] telemedicine), of which 13.5% were for patients younger than 18 years, 22.2% were for patients 65 years or older, and 54.9% were for female patients. After adjustment, 38.6% (95% CI, 38.0%-39.3%) of video visits, 34.7% (95% CI, 34.5%-34.9%) of telephone visits, and 51.9% (95% CI, 51.8%-52.0%) of office visits had any medication prescribed; laboratory tests or imaging were ordered for 29.2% (95% CI, 28.5%-29.8%) of video visits, 27.3% (95% CI, 27.1%-27.5%) of telephone visits, and 59.3% (95% CI, 59.3%-59.4%) of clinic visits. After adjustment, follow-up visits within 7 days occurred after 25.4% (95% CI, 24.7%-26.0%) of video visits, 26.0% (95% CI, 25.9%-26.2%) of telephone visits, and 24.5% (95% CI, 24.5%-24.6%) of office visits. Adjusted emergency department visits and rates of hospitalizations were not statistically significantly different by primary care index visit type. Conclusions and Relevance In this cohort study of patient self-scheduled primary care telemedicine visits within ongoing patient-physician relationships, prescribing and orders were significantly lower for telemedicine visits than for clinic visits, with slightly higher follow-up office visits for telemedicine but no difference in health events (emergency department visits or hospitalizations). Video or telephone visits may be a convenient and efficient way to access primary care and address patient needs.

Background Coronavirus disease 2019 (COVID‐19), the disease caused by severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), has extracted devastating tolls. Despite its pervasiveness, robust information on disease characteristics in the emergency department (ED) and how that information predicts clinical course remain limited. Methods We conducted a retrospective cohort study of the first ED visit from SARS‐CoV‐2‐positive patients in our health system, from February 21, 2020 to April 5, 2020. We reviewed each patient's ED visit(s) and included the first visit with symptoms consistent with COVID‐19. We collected demographic, clinical, and treatment variables from electronic health records and structured manual chart review. We used multivariable logistic regression to examine the association between patient characteristics and 2 primary outcomes: a critical outcome and hospitalization from index visit. Our critical outcome was defined as death or advanced respiratory support (high flow nasal cannula or greater) within 21 days. Results Of the first 1030 encounters, 801 met our inclusion criteria: 15% were over age 75 years, 47% were female, and 24% were non‐Hispanic white. We found 161 (20%) had a critical outcome and 393 (49%) were hospitalized. Independent predictors of a critical outcome included a history of hypertension, abnormal chest x‐ray, elevated neutrophil to lymphocyte ratio, elevated blood urea nitrogen (BUN), measured fever, and abnormal respiratory vital signs (respiratory rate, oxygen saturation). Independent predictors of hospitalization included abnormal pulmonary auscultation, elevated BUN, measured fever, and abnormal respiratory vital signs. Conclusions In this large, diverse study of ED patients with COVID‐19, we have identified numerous clinical characteristics that have independent associations with critical illness and hospitalization.

The pediatric Appendicitis Risk Calculator (pARC) is a validated clinical tool for assessing a child's probability of appendicitis. Our objective was to assess the performance of the pARC in community emergency departments (EDs) and to compare its performance with that of the Pediatric Appendicitis Score (PAS).We conducted a prospective validation study from October 1, 2016, to April 30, 2018, in 11 community EDs serving general populations. Patients aged 5 to 20.9 years and with a chief complaint of abdominal pain and less than or equal to 5 days of right-sided or diffuse abdominal pain were eligible for study enrollment. Our primary outcome was the presence or absence of appendicitis within 7 days of the index visit. We reported performance characteristics and secondary outcomes by pARC risk strata and compared the receiver operator characteristic (ROC) curves of the PAS and pARC.We enrolled 2,089 patients with a mean age of 12.4 years, 46% of whom were male patients. Appendicitis was confirmed in 353 patients (16.9%), of whom 55 (15.6%) had perforated appendixes. Fifty-four percent of patients had very low (5%) or low (5% to 14%) predicted risk, 43% had intermediate risk (15% to 84%), and 4% had high risk (≥85%). In the very-low- and low-risk groups, 1.4% and 3.0% of patients had appendicitis, respectively. The area under the ROC curve was 0.89 (95% confidence interval 0.87 to 0.92) for the pARC compared with 0.80 (95% confidence interval 0.77 to 0.82) for the PAS.The pARC accurately assessed appendicitis risk for children aged 5 years and older in community EDs and the pARC outperformed the PAS.

BACKGROUND: Little is known about patients who have caregiver proxies communicate with healthcare providers via portal secure messaging (SM). Since proxy portal use is often informal (e.g., sharing patient accounts), novel methods are needed to estimate the prevalence of proxy-authored SMs. OBJECTIVE: (1) Develop an algorithm to identify proxy-authored SMs, (2) apply this algorithm to estimate predicted proxy SM (PPSM) prevalence among patients with diabetes, and (3) explore patient characteristics associated with having PPSMs. DESIGN: Retrospective cohort study. PARTICIPANTS: We examined 9856 patients from Diabetes Study of Northern California (DISTANCE) who sent ≥ 1 English-language SM to their primary care physician between July 1, 2006, and Dec. 31, 2015. MAIN MEASURES: Using computational linguistics, we developed ProxyID, an algorithm that identifies phrases frequently found in registered proxy SMs. ProxyID was validated against blinded expert categorization of proxy status among an SM sample, then applied to identify PPSM prevalence across patients. We examined patients’ sociodemographic and clinical characteristics according to PPSM penetrance, “none” (0%), “low” (≥ 0–50%), and “high” (≥ 50–100%). KEY RESULTS: Only 2.3% of patients had ≥ 1 registered proxy-authored SM. ProxyID demonstrated moderate agreement with expert classification (Κ = 0.58); 45.7% of patients had PPSMs (40.2% low and 5.5% high). Patients with high percent PPSMs were older than those with low percent and no PPSMs (66.5 vs 57.4 vs 56.2 years, p

Video telemedicine can offer patients direct real-time convenient access to clinicians without arranging transportation or work time-off, improving access to diabetes care and self-management support. We examined the association between video visit use and hemoglobin A1c (HbA1c) among patients with diabetes. In a longitudinal study, within a large integrated delivery system where patients were first able to self-schedule real-time physician video visits in 2016, we used the clinical registry to identify patients with diabetes (2015), and followed their video visit use and subsequent HbA1c values over time (2016-2019). Using linear regression with patient-level fixed effects (within-patient changes), adjusting for calendar year and month and time-changing patient mobile portal access, we measured the association between use of video visits as a time-changing variable and the patient’s yearly HbA1c values (in subsequent calendar years after video visit use). We then stratified analyses by baseline HbA1c value: Among 204,301 patients with diabetes, 50% were 65 years or older, 48% were women, and 45% were of white race/ethnicity. Overall, 95% of patients had a baseline HbA1c value, 24% had HbA1c values ≥8%. Patient use of video visits was associated with an overall statistically significant reduction in HbA1c value by 0.15% (95% CI: 0.11%-0.19%). Among those with baseline HbA1c values ≥8%, using video visits was associated with a HbA1c value reduction of 0.22% (95% CI: 0.12%-0.32%), and among patients with lower baseline engagement (i.e., no baseline HbA1c measurement), using video visits was associated with a HbA1c reduction of 0.39% (95% CI: 0.07%-0.71%). Use of video visit was associated with improved glycemic control among patients with diabetes, with greater improvements found among patients with worse baseline control and lower engagement. Video visits may offer convenient health care access to improve diabetes management. Disclosure M. Reed: None. A. Gopalan: None. I. Graetz: None. L. Hsueh: None. J. Huang: None. E. Muelly: None. Funding National Institute of Diabetes and Digestive and Kidney Diseases (R01DK085070)

Background Coronary risk stratification is recommended for emergency department patients with chest pain. Many protocols are designed as “rule‐out” binary classification strategies, while others use graded‐risk stratification. The comparative performance of competing approaches at varying levels of risk tolerance has not been widely reported. Methods and Results This is a prospective cohort study of adult patients with chest pain presenting between January 2018 and December 2019 to 13 medical center emergency departments within an integrated healthcare delivery system. Using an electronic clinical decision support interface, we externally validated and assessed the net benefit (at varying risk thresholds) of several coronary risk scores (History, ECG, Age, Risk Factors, and Troponin [HEART] score, HEART pathway, Emergency Department Assessment of Chest Pain Score Accelerated Diagnostic Protocol), troponin‐only strategies (fourth‐generation assay), unstructured physician gestalt, and a novel risk algorithm (RISTRA‐ACS). The primary outcome was 60‐day major adverse cardiac event defined as myocardial infarction, cardiac arrest, cardiogenic shock, coronary revascularization, or all‐cause mortality. There were 13 192 patient encounters included with a 60‐day major adverse cardiac event incidence of 3.7%. RISTRA‐ACS and HEART pathway had the lowest negative likelihood ratios (0.06, 95% CI, 0.03–0.10 and 0.07, 95% CI, 0.04–0.11, respectively) and the greatest net benefit across a range of low‐risk thresholds. RISTRA‐ACS demonstrated the highest discrimination for 60‐day major adverse cardiac event (area under the receiver operating characteristic curve 0.92, 95% CI, 0.91–0.94, P Conclusions RISTRA‐ACS and HEART pathway were the optimal rule‐out approaches, while RISTRA‐ACS was the best‐performing graded‐risk approach. RISTRA‐ACS offers promise as a versatile single approach to emergency department coronary risk stratification. Registration URL: https://www.clinicaltrials.gov ; Unique identifier: NCT03286179.

Background: Chest pain is the second leading reason for emergency department (ED) visits and is commonly identified as a leading driver of low-value health care. Accurate identification of patients at low risk of major adverse cardiac events (MACE) is important to improve resource allocation and reduce over-treatment. Objectives: We assessed machine learning (ML) methods and electronic health record (EHR) covariate collection for MACE prediction. We aimed to maximize the pool of low-risk patients that were accurately predicted to have less than 0.5% MACE risk and could be eligible for reduced testing ("rule-out" strategy). Population Studied: 116,764 adult patients presenting with chest pain in the ED between 2013 and 2015 and evaluated for potential acute coronary syndrome (ACS). 60-day MACE rate was 2%. Setting: Data analysis was performed May 2018 to August 2021. Methods: We evaluated ML algorithms (lasso, splines, random forest, extreme gradient boosting, Bayesian additive regression trees) and SuperLearner stacked ensembling. We tuned ML hyperparameters through nested ensembling, and imputed missing values with generalized low-rank models (GLRM). Performance was benchmarked against individual biomarkers, validated clinical risk scores, decision trees, and logistic regression. We assessed clinical utility through net benefit analysis and explained the models through variable importance ranking and accumulated local effect visualization Results: The SuperLearner ensemble provided the best cross-validated discrimination with areas under the curve of 0.15 for precision-recall (PR-AUC) and 0.87 for receiver operating characteristic (ROC-AUC), and the best accuracy with an index of prediction accuracy of 0.07. The ensemble's risk estimates were miscalibrated by 0.2 percentage points on average, and dominated the net benefit analysis at all examined thresholds. At a 0.5% threshold the ensemble model yielded 32 benefit-adjusted workups avoided per 100 patients, compared to 25 for logistic regression and 2-14 for clinical risk scores. The most important predictors were age, troponin, clinical risk scores, and electrocardiogram. GLRM achieved a 90% average reduction in reconstruction error compared to median-mode imputation. Conclusion: Combining ML algorithms with a broad set of EHR covariates improved MACE risk prediction and would reduce over-treatment compared to simpler alternatives, while providing calibrated predictions and interpretability. Patients should receive targeted benefit in their care from thorough detection of nuanced health patterns via ML.

Electronic physician visits, or e-visits, use a digital virtual care platform with structured, asynchronous exchange between patients and clinicians to provide care without scheduled appointments.1 e-Visits can be an efficient model for receiving care during pandemics such as coronavirus disease 2019 (COVID-19).2 Through a patient portal, e-visits collect clinician-developed, internet-based questionnaires for physician management with clinical decision support tools and electronic health record (EHR) order sets. Little evidence exists on characteristics of patients using e-visits and success in managing patients’ concerns. We evaluated patients’ adoption and success of primary care e-visits by monitoring the 7-day follow-up care needed within an integrated health care delivery system.

INTRODUCTION: International rates of hospitalization for atrial fibrillation and flutter (AFF) from the emergency department (ED) vary widely without clear evidence to guide the identification of high-risk patients requiring inpatient management. We sought to determine (1) variation in hospital admission and (2) modifiable factors associated with hospitalization of AFF patients within a U.S. integrated health system. METHODS: This multicenter prospective observational study of health plan members with symptomatic AFF was conducted using convenience sampling in 7 urban community EDs from 05/2011 to 08/2012. Prospective data collection included presenting symptoms, characteristics of atrial dysrhythmia, ED physician impression of hemodynamic instability, comorbid diagnoses, ED management, and ED discharge rhythm. All centers had full-time on-call cardiology consultation available. Additional variables were extracted from the electronic health record. We identified factors associated with hospitalization and included predictors in a multivariate Poisson Generalized Estimating Equations regression model to estimate adjusted relative risks while accounting for clustering by physician. RESULTS: Among 1,942 eligible AFF patients, 1,074 (55.3%) were discharged home and 868 (44.7%) were hospitalized. Hospitalization rates ranged from 37.4% to 60.4% across medical centers. After adjustment, modifiable factors associated with increased hospital admission from the ED included non-sinus rhythm at ED discharge, no attempted cardioversion, and heart rate reduction. DISCUSSION: Within an integrated health system, we found significant variation in AFF hospitalization rates and identified several modifiable factors associated with hospital admission. Standardizing treatment goals that specifically address best practices for ED rate reduction and rhythm control may reduce hospitalizations.

The COVID-19 pandemic caused a shift from in-person care to telemedicine, providing a unique opportunity to evaluate trends and efficiency of telemedicine usage within surgical subspecialties in a large, integrated health care system before and after shelter in place mandates.This retrospective cohort study included all of the Kaiser Permanente Northern California members referred to surgical services from January 1, 2019 to June 13, 2020 and receiving a surgical procedure. We compared the patient referrals (categorized as benign, urgent, or cancer) before and after shelter in place mandates, and we examined rates of telemedicine (video or telephone) usage for preoperative consultations, postoperative visits, time from referral to first surgical encounter, and to surgery or procedure. In multivariate analyses, we assessed the patient and provider characteristics associated with telemedicine usage.There was a total of 34,875 surgical referrals resulting in a procedure, with a significant decline in referral after shelter in place mandates. Preoperative encounter types shifted from 89.8% in-person before shelter in place mandates to 70.2% telemedicine after shelter in place mandates (Plt; .0001). The median time from referral to first encounter decreased after shelter in place mandates, as did median time to procedure. After shelter in place mandates, postoperative encounters were mainly telemedicine (65.8%) compared with before shelter in place mandates (41.7%) (Plt; .0001). Overall, there was a comparable uptake of telemedicine usage in almost all evaluated categories of patient characteristics after shelter in place mandates.Within a health care system with prior telemedicine capability, surgical specialties were able to shift to telemedicine rapidly, equitably, and efficiently in the preoperative and postoperative encounters of benign, urgent, and cancer diagnosis during mandated COVID-19 restrictions.

Study Objective: COVID-19 is commonly seen in the emergency department (ED). However, the association between key clinical variables and a patient’s downstream clinical course is incompletely understood. We sought to fill this knowledge gap in order to inform emergency management of the COVID-19 patient. Methods: We performed a retrospective cohort study of adults presenting to 21 U.S. community EDs with symptomatic COVID-19 from 2/21/2020 - 4/5/2020 with an in-system SARS-CoV-2 positive laboratory test 21 days before or after the index visit. Demographic, clinical, radiographic and laboratory variables were collected from electronic health records using a combination of manual chart review and electronic data extraction. We used multivariate logistic regression to examine the association between patient characteristics and two primary outcomes: (1) hospitalization from the index visit;and (2) critical illness, defined as either death or a requirement for respiratory support of high flow nasal cannula, non-rebreather mask, non-invasive ventilation or mechanical ventilation within 21 days. Results: Among 801 study-eligible patients, 28% were ≥65 years of age, 47% were female and 24% were non-Hispanic white. 393 patients (49%) were hospitalized and 161 (20%) had critical illness. Adjusted statistically significant predictors (p

Key Points Question Among primary care physicians (PCPs), how frequent is attention switching associated with the electronic inbox work during workdays, and what factors are associated with attention switching and duration of inbox work? Findings Among 1275 PCPs studied in this cross-sectional study, PCPs switched attention to or from the inbox a mean of 79 times and spent 64 minutes doing inbox work on workdays. Message quantity was a dominant factor associated with attention switching and inbox work duration. Meaning This study suggests that PCPs make frequent attention switches to and from the inbox while working, and interventions to assist them with message quantity could modulate both attention switching and inbox work duration., Importance Primary care physicians (PCPs) report multitasking during workdays while processing electronic inbox messages, but scant systematic information exists on attention switching and its correlates in the health care setting. Objectives To describe PCPs’ frequency of attention switching associated with electronic inbox work, identify potentially modifiable factors associated with attention switching and inbox work duration, and compare the relative association of attention switching and other factors with inbox work duration. Design, Setting, and Participants This cross-sectional study of the work of 1275 PCPs in an integrated group serving 4.5 million patients used electronic health record (EHR) access logs from March 1 to 31, 2018, to evaluate PCPs’ frequency of attention switching. Statistical analysis was performed from October 15, 2018, to August 28, 2020. Main Outcomes and Measures Attention switching was defined as switching between the electronic inbox, other EHR work, and non-EHR periods. Inbox work duration included minutes spent on electronic inbox message views and related EHR tasks. Multivariable models controlled for the exposures. Results The 1275 PCPs studied (721 women [56.5%]; mean [SD] age, 45.9 [8.5] years) had a mean (SD) of 9.0 (7.6) years of experience with the medical group and received a mean (SD) of 332.6 (148.3) (interquartile range, 252-418) new inbox messages weekly. On workdays, PCPs made a mean (SD) of 79.4 (21.8) attention switches associated with inbox work and did a mean (SD) 64.2 (18.7) minutes of inbox work over the course of 24 hours on workdays. In the model for attention switching, each additional patient secure message beyond the reference value was associated with 0.289 (95% CI, 0.217-0.362) additional switches, each additional results message was associated with 0.203 (95% CI, 0.127-0.278) additional switches, each additional request message was associated with 0.190 (95% CI, 0.124-0.257) additional switches, and each additional administrative message was associated with 0.262 (95% CI, 0.166-0.358) additional switches. Having a panel (a list of patients assigned to a primary care team) with more elderly patients (0.144 switches per percentage increase [95% CI, 0.009-0.278]) and higher inbox work duration (0.468 switches per additional minute of inbox work [95% CI, 0.411-0.524]) were also associated with higher attention switching involving the inbox. In the model for inbox work duration, each additional patient secure message beyond the reference value was associated with 0.151 (95% CI, 0.085-0.217) additional minutes, each additional results message was associated with 0.338 (95% CI, 0.272-0.404) additional minutes, each additional request message was associated with 0.101 (95% CI, 0.041-0.161) additional minutes, and each additional administrative message was associated with 0.179 (95% CI, 0.093-0.265) additional minutes. A higher percentage of the panel’s patients initiating messages (0.386 minutes per percentage increase [95% CI, 0.026-0.745]) and attention switches (0.373 minutes per switch [95% CI, 0.328-0.419]) were also associated with higher inbox work duration. In addition, working at a medical center where all PCPs had high inbox work duration was independently associated with high or low inbox work duration. Conclusions and Relevance This study suggests that PCPs make frequent attention switches during workdays while processing electronic inbox messages. Message quantity was associated with both attention switching and inbox work duration. Physician and patient panel characteristics had less association with attention switching and inbox work duration. Assisting PCPs with message quantity might help modulate both attention switching and inbox work duration., This cross-sectional study examines primary care physicians’ frequency of attention switching associated with electronic inbox work and identifies potentially modifiable factors associated with attention switching and inbox work duration.

BackgroundThe Patient Protection and Affordable Care Act (ACA) eliminated cost sharing for preventive services, including colorectal cancer (CRC) screening for individuals aged 50 to 75 with private health insurance. The present study is the first to examine the impact of the no-cost CRC screening due to the ACA on CRC incidence and mortality.MethodsWe modeled trends in CRC incidence and CRC-related mortality in an open cohort of 2,113,283 Kaiser Permanente Northern California (KPNC) members aged 50 years and older between 2003 and 2016 using an interrupted time series design. Individual-level data were analyzed at the month-level. Analyses were adjusted for age, race/ethnicity and sex. As a sensitivity analysis, we considered a controlled approach, with a comparison group of KPNC members covered by health plans with pre-ACA zero cost-sharing for CRC screening.ResultsA total of 178,582,512 person-months were used in the analysis of CRC incidence, of which 48% occurred in the period before the ACA was passed into law (1/1/2003-3/31/2010) and 52% after (4/1/2010-12/31/2016). In primary analyses, the model for CRC incidence indicated a drop in the trend coinciding with the passage of the ACA (change in level incidence rate ratio, IRR: 0.83, 95% CI: 0.77-0.90, p-value < 0.0001), followed by a decrease in trend (change in slope IRR: 0.97/year, 95% CI: 0.93-1.00, p-value = 0.05). Results for CRC-related mortality were similar. Our controlled results indicate that free screening due to the ACA was associated with greater improvements in CRC outcomes among members previously covered by health plans with out-of-pocket costs for screening, compared to health plans with zero cost sharing for screening before the ACA went into effect.ConclusionsWe found that free CRC screening due to the ACA was associated with a decrease in age-, race/ethnicity- and sex-adjusted CRC incidence and CRC-related mortality, after accounting for contemporaneous competing interventions. Furthermore, these findings were robust to the addition of a comparison group with zero cost sharing both pre- and post-ACA.

OBJECTIVES Continuity of patient information across settings can improve transitions after hospital discharge, but outpatient clinicians often have limited access to complete information from recent hospitalizations. We examined whether providers' timely access to clinical information through shared inpatient-outpatient electronic health records (EHRs) was associated with follow-up visits, return emergency department (ED) visits, or readmissions after hospital discharge in patients with diabetes. STUDY DESIGN Stepped-wedge observational study. METHODS As an integrated delivery system staggered implementation of a shared inpatient-outpatient EHR, we studied 241,510 hospital discharges in patients with diabetes (2005-2011), examining rates of outpatient follow-up office visits, telemedicine (phone visits and asynchronous secure messages), laboratory tests, and return ED visits or readmissions (as adverse events). We used multivariate logistic regression adjusting for time trends, patient characteristics, and medical center and accounting for patient clustering to calculate adjusted follow-up rates. RESULTS For patients with diabetes, provider use of a shared inpatient-outpatient EHR was associated with a statistically significant shift toward follow-up delivered through a combination of telemedicine and outpatient laboratory tests, without a traditional in-person visit (from 22.9% with an outpatient-only EHR to 27.0% with a shared inpatient-outpatient EHR; P

Key Points Question Which patient characteristics are associated with choosing either a telemedicine visit or an office visit with the same primary care clinician? Findings In this cross-sectional study of data from 1.1 million patients with 2.2 million primary care visits, 14% of visits were scheduled as telemedicine (primarily by telephone), with patients more likely to choose telemedicine with their personal primary care clinician. Patient demographic characteristics, and office visit barriers were significantly associated with choosing telemedicine. Meaning This study suggests a nuanced context for patient choice between a telemedicine visit and an office visit; the associations identified in this study may indicate opportunities for engagement with mobile technology access for those who face barriers to in-person visits., Importance Video or telephone telemedicine can offer patients access to a clinician without arranging for transportation or spending time in a waiting room, but little is known about patient characteristics associated with choosing between telemedicine or office visits. Objective To examine patient characteristics associated with choosing a telemedicine visit vs office visit with the same primary care clinicians. Design, Setting, and Participants This cross-sectional study included data from 1 131 722 patients who scheduled a primary care appointment through the Kaiser Permanente Northern California patient portal between January 1, 2016, and May 31, 2018. All completed primary care appointments booked via the patient portal were identified. Only index visits without any other clinical visits within 7 days were included to define a relatively distinct patient-initiated care-seeking episode. Visits for routine physical, which are not telemedicine-eligible, were excluded. Data were analyzed from July 1, 2018, to December 31, 2019. Main Outcomes and Measures Patient choice between an office, video, or telephone visit. Relative risk ratios (RRRs) for patient sociodemographic characteristics (age, sex, race/ethnicity, neighborhood socioeconomic status, language preference), technology access (neighborhood residential internet, mobile portal use), visiting the patient’s own personal primary care clinician, and in-person visit barriers (travel-time, parking, cost-sharing), associated with choice of video or telephone telemedicine (vs office visit). Results Of 2 178 440 patient-scheduled primary care visits scheduled by 1 131 722 patients, 86% were scheduled as office visits and 14% as telemedicine visits, with 7% of the telemedicine visits by video. Choosing telemedicine was statistically significantly associated with patient sociodemographic characteristics. For example, patients aged 65 years and over were less likely than patients aged 18 to 44 years to choose telemedicine (RRR, 0.24; 95% CI, 0.22-0.26 for video visit; RRR 0.55; 95% CI, 0.54-0.57 for telephone visit). Choosing telemedicine was also statistically significantly associated with technology access (patients living in a neighborhood with high rates of residential internet access were more likely to choose a video visit than patients whose neighborhoods had low internet access: RRR, 1.10; 95% CI, 1.06-1.14); as well as in-person visit barriers (patients whose clinic had a paid parking structure were more likely to choose a telemedicine visit than patients whose facility had free parking: RRR, 1.70; 95% CI, 1.41-2.05 for video visit; and RRR, 1.73, 95% CI, 1.61-1.86 for telephone visit). Conclusions and Relevance In this cross-sectional study, patients usually chose an in-person visit when scheduling an appointment online through the portal. Telemedicine may offer the potential to reach vulnerable patient groups and improve access for patients with transportation, parking, or cost barriers to clinic visits., This cross-sectional study examines patient sociodemographic characteristics, technology access, and potential in-person visit barriers to assess the association between patient characteristics and telemedicine vs in-person health care visits.

Study objectiveTo assess trends over time in red blood cell (RBC) transfusion practice among emergency department (ED) patients with gastrointestinal (GI) bleeding within an integrated healthcare system, inclusive of 21 EDs.MethodsRetrospective cohort of ED patients diagnosed with GI bleeding between July 1st, 2012 and September 30th, 2016. The primary outcome was receipt of an RBC transfusion in the ED. Secondary outcomes included 90-day rates of RBC transfusion, repeat ED visits, rehospitalization, and all-cause mortality. Logistic regression was used to obtain confounder-adjusted outcome rates.ResultsA total of 24,868 unique patient encounters were used for the primary analysis. The median hemoglobin level in the ED prior to RBC transfusion decreased from 7.5 g/dl to 6.9 g/dl in the first versus last twelve months of the study period (p

Background A low (0–3) History, Electrocardiogram, Age, Risk factors and Troponin (HEART) score reliably identifies ED chest pain patients who are low risk for near-term major adverse cardiac events (MACE). To optimize sensitivity, many clinicians employ a modified HEART score by repeating troponin measurements and excluding patients with abnormal troponin values or ischemic electrocardiograms (ECGs). The residual MACE risk among patients with otherwise non-low (≥4) modified HEART scores is thus likely much lower than with non-low original HEART scores. Objective To explore residual 60-day MACE risks among patients with non-low modified HEART scores. Methods Secondary analysis of a retrospective cohort of ED patients presenting with chest pain to an integrated healthcare system between 2013 and 2015. Patients with serial troponin measurements within 6 h of ED arrival were considered for inclusion. Exclusions included an ischemic ECG, troponin values above the 99th percentile or a lack of continuous health plan coverage through the 60-day follow-up period. MACE was defined as a composite of myocardial infarction, cardiac arrest, cardiogenic shock or death. Results There were 22,976 study eligible patients encounters, 13,521 (59%) of which had non-low (≥4) modified HEART scores. The observed 60-day MACE risk among non-low HEART score patients was 2.0% (95% CI 1.8–2.3). When including all coronary revascularizations (MACE-R), the risk was 4.4% (95% CI 4.1–4.4). Conclusion Risk of near-term MACE among patients with non-low modified HEART scores (excluding those with abnormal troponin or ischemic ECGs) appears to be much lower than in the original HEART score validation studies.

Objectives Electronic health record systems are increasingly used to send messages to physicians, but research on physicians’ inbox use patterns is limited. This study’s aims were to (1) quantify the time primary care physicians (PCPs) spend managing inboxes; (2) describe daily patterns of inbox use; (3) investigate which types of messages consume the most time; and (4) identify factors associated with inbox work duration. Materials and Methods We analyzed 1 month of electronic inbox data for 1275 PCPs in a large medical group and linked these data with physicians’ demographic data. Results PCPs spent an average of 52 minutes on inbox management on workdays, including 19 minutes (37%) outside work hours. Temporal patterns of electronic inbox use differed from other EHR functions such as charting. Patient-initiated messages (28%) and results (29%) accounted for the most inbox work time. PCPs with higher inbox work duration were more likely to be female (P < .001), have more patient encounters (P < .001), have older patients (P < .001), spend proportionally more time on patient messages (P < .001), and spend more time per message (P < .001). Compared with PCPs with the lowest duration of time on inbox work, PCPs with the highest duration had more message views per workday (200 vs 109; P < .001) and spent more time on the inbox outside work hours (30 minutes vs 9.7 minutes; P < .001). Conclusions Electronic inbox work by PCPs requires roughly an hour per workday, much of which occurs outside scheduled work hours. Interventions to assist PCPs in handling patient-initiated messages and results may help alleviate inbox workload.

We took advantage of a change in protocol in an integrated delivery system's telephone consultation service-routing callers complaining of chest pain to physicians instead of registered nurses, whenever feasible-to explore whether tele-triage outcomes differed by staffing type. Comparing outcomes of 11,315 physician-directed calls to those of an equal number of nurse-directed calls in 2013, we found that the physician-directed calls were briefer (eight minutes versus thirteen minutes), produced fewer ED referrals (10 percent versus 16 percent), and resulted in higher patient adherence to the providers' site-of-care recommendation (86 percent versus 82 percent). Mortality rates at seven days were low for both physician- and nurse-directed calls (0.1 percent). We suspect that providers' immediate access to callers' comprehensive electronic health records and patients' rapid access to outpatient care likely contributed to the program's success. Our findings suggest that tele-triage can be used to safely and effectively manage an emergent complaint, and that physicians' expertise may bring additional efficiency to the process.

Personal health records (PHRs) offer patients a portal to view lab results, communicate with their doctors, and refill medications. Expanding PHR access to mobile devices could increase patients’ engagement with their PHRs. We examined whether access to a mobile-optimized PHR changed the frequency and timeliness of PHR use among adult patients with diabetes in an integrated delivery system. Among patients originally using the PHR only by computer, PHR use frequency increased with mobile access. Non-White patients were more likely to view their lab results within 7 days if they had computer and mobile access compared with computer only; however, there were no statistically significant differences among White patients. More frequent and timely mobile access to PHR data and tools may lead to convenient and effective PHR engagement to support patient self-management. Future studies should evaluate whether PHR use with a mobile device is associated with changes in self-management and outcomes.

Author(s): Liu, Michelle Y.; Ballard, Dustin W.; Huang, Jie; Rauchwerger, Adina S.; Reed, Mary E.; Bouvet, Sean C.; Vinson, David R. | Abstract: Introduction: Emergency department (ED) patients with acute pulmonary embolism (PE) despite therapeutic anticoagulation at the time of diagnosis are uncommonly encountered and present a diagnostic and management challenge. Their characterization and outcomes are poorly described. We sought to describe the prevalence and characteristics of therapeutically anticoagulated patients among a population of patients with acute PE in a community setting and to describe treatment changes and 30-day outcomes. Methods: From a large retrospective cohort of adults with acute, objectively-confirmed PE across 21 EDs between 01/2013 and 04/2015, we identified patients who arrived on direct oral or injectable anticoagulants, or warfarin with an initial ED international normalized ratio (INR) value ≥2.0. Patients were excluded from the larger cohort if they had received a diagnosis of venous thromboembolism (VTE) in the prior 30 days. We gathered demographic and clinical variables from electronic health records and structured manual chart review. We report discharge anticoagulation regimens and major 30-day adverse outcomes. Results: Among 2,996 PE patients, 36 (1.2%) met study criteria. Mean age was 63 years. Eleven patients (31%) had active cancer and 25 (69%) were high risk on the PE Severity Index (Classes III-V), comparable to the larger cohort (pg0.1). Reasons for pre-arrival anticoagulation were VTE treatment or prevention (n=21), and atrial fibrillation or flutter (n=15). All patients arrived on warfarin and one was also on enoxaparin: 32 had a therapeutic INR (2.0-3.0) and four had a supratherapeutic INR (g3.0). Fifteen patients (42%) had at least one subtherapeutic INR (l2.0) in the 14 days preceding their diagnostic visit. Two patients died during hospitalization. Of the 34 ultimately discharged, 22 underwent a change in anticoagulation drug or dosing, 19 of whom received injectables, either to replace or to supplement warfarin. Four patients also received inferior vena cava filters. Thirty-day outcomes included one major hemorrhage and one additional death. No patients experienced recurrent or worsening VTE. Conclusion: We found a low prevalence of therapeutic anticoagulation at the time of acute PE diagnosis. Most patients underwent a change in therapy, though management varied widely. Subtherapeutic anticoagulation levels in the preceding weeks were common and support the importance of anticoagulation adherence.

Author(s): Vinson, David R.; Warton, E. Margaret; Mark, Dustin G.; Ballard, Dustin W.; Reed, Mary E.; Chettipally, Uli K.; Singh, Nimmie; Bouvet, Sean Z.; Kea, Bory; Ramos, Patricia C; Glaser, David S.; Go, Alan S. | Abstract: Introduction: Many patients with atrial fibrillation or atrial flutter (AF/FL) who are high risk for ischemic stroke are not receiving evidence-based thromboprophylaxis. We examined anticoagulant prescribing within 30 days of receiving dysrhythmia care for non-valvular AF/FL in the emergency department (ED). Methods: This prospective study included non-anticoagulated adults at high risk for ischemic stroke (ATRIA score ≥7) who received emergency AF/FL care and were discharged home from seven community EDs between May 2011 and August 2012. We characterized oral anticoagulant prescribing patterns and identified predictors of receiving anticoagulants within 30 days of the index ED visit. We also describe documented reasons for withholding anticoagulation. Results: Of 312 eligible patients, 128 (41.0%) were prescribed anticoagulation at ED discharge or within 30 days. Independent predictors of anticoagulation included age (adjusted odds ratio [aOR] 0.89 per year, 95% confidence interval [CI] 0.82-0.96); ED cardiology consultation (aOR 1.89, 95% CI [1.10-3.23]); and failure of sinus restoration by time of ED discharge (aOR 2.65, 95% CI [1.35-5.21]). Reasons for withholding anticoagulation at ED discharge were documented in 139 of 227 cases (61.2%), the most common of which were deferring the shared decision-making process to the patient’s outpatient provider, perceived bleeding risk, patient refusal, and restoration of sinus rhythm. Conclusion: Approximately 40% of non-anticoagulated AF/FL patients at high risk for stroke who presented for emergency dysrhythmia care were prescribed anticoagulation within 30 days. Physicians were less likely to anticoagulate older patients and those with ED sinus restoration. Opportunities exist to improve rates of thromboprophylaxis in this high-risk population.

This cross-sectional study assesses whether having limited English proficiency was associated with lower video use compared with telephone use, especially among patients without prior video visit experience, during the COVID-19 pandemic.

Objective To estimate the effect of out-of-pocket (OOP) cost on nonadherence to classes of cardiometabolic medications among patients with diabetes. Data Sources/Setting Electronic health records from a large, health care delivery system for 223,730 patients with diabetes prescribed 842,899 new cardiometabolic medications during 2006–2012. Study Design Observational, new prescription cohort study of the effect of OOP cost on medication initiation and adherence. Data Collection Adherence and OOP costs were based on pharmacy dispensing records and benefits. Principal Findings Primary nonadherence (never dispensed) increased monotonically with OOP cost after adjusting for demographics, neighborhood socioeconomic status, Medicare, medical financial assistance, OOP maximum, deductibles, mail order pharmacy incentive and use, drug type, generic or brand, day's supply, and comorbidity index; 7 percent were never dispensed the new medication when OOP cost ≥$11, 5 percent with OOP cost of $1–$10, and 3 percent when the medication was free of charge (p

Context The Patient Protection and Affordable Care Act increases healthcare access and includes provisions that directly impact access to and cost of evidence-based colorectal cancer screening. The Affordable Care Act's removal of cost sharing for colorectal cancer screening as well as Medicaid expansion have been hypothesized to increase screening and improve other health outcomes. However, since its passage in 2010, there is little consensus on the Affordable Care Act's impact. Evidence acquisition Data from March 2010 to June 2019 were reviewed and 21 relevant studies were identified; 19 studies examined colorectal cancer screening with most finding increased screening rates. Evidence synthesis Eleven studies found significant increases, 5 found nonsignificant increases, 3 found nonsignificant decreases, and 1 study found a significant decrease in colorectal cancer screening. Three studies examined the impact on colorectal cancer incidence and stage of diagnosis, where a significant 2.4% increase in early diagnosis was found in one and a nonsignificant increase in incidence in another. However, survival improved after Medicaid expansion. Conclusions Free preventive colorectal cancer screening and Medicaid expansion because of passage of the Affordable Care Act have been, in general, positively associated with modest improvements in screening rates across the country. Future studies are needed that investigate the longer-term impact of the Affordable Care Act on colorectal cancer morbidity and mortality rates, as screening is only the first step in treatment of cancerous and precancerous lesions, preventing them from progressing. Moreover, more studies examining subpopulations are needed to better assess where gaps in care remain.

OBJECTIVES: Pediatric appendicitis remains a challenging diagnosis in the emergency department (ED). Available risk prediction algorithms may contribute to excessive ED imaging studies. Incorporation of physician gestalt assessment could help refine predictive tools and improve diagnostic imaging decisions. METHODS: This study was a subanalysis of a parent study that prospectively enrolled patients ages 5 to 20.9 years with a chief complaint of abdominal pain presenting to 11 community EDs within an integrated delivery system between October 1, 2016, and September 30, 2018. Prior to diagnostic imaging, attending emergency physicians enrolled patients with ≤5 days of right-sided or diffuse abdominal pain using a Web-based application embedded in the electronic health record. Predicted risk (gestalt) of acute appendicitis was prospectively entered using a sliding scale from 1% to 100%. As a planned secondary analysis, we assessed the performance of gestalt via c-statistics of receiver operating characteristic (ROC) curves; tested associations between gestalt performance and patient, physician, and facility characteristics; and examined clinical characteristics affecting gestalt estimates. RESULTS: Of 3,426 patients, 334 (9.8%) had confirmed appendicitis. Physician gestalt had excellent ROC curve characteristics (c-statistic = 0.83, 95% confidence interval = 0.81 to 0.85), performing particularly well in the low-risk strata (appendicitis rate = 1.1% in gestalt 1%–10% range, negative predictive value of 98.9% for appendicitis diagnosis). Physicians with ≥5 years since medical school graduation demonstrated improved gestalt performance over those with less experience (p = 0.007). All clinical characteristics tested, except pain

Personal health records offer patients access to view their own health information and to manage their care online through secure patient portal tools. Little is known about the patient-reported experience in using health portals to manage chronic conditions.In a patient-centered research study, we examined how using portal tools affects patient health care experiences among patients with chronic conditions. We also examined barriers among nonportal users.A cross-sectional patient survey.Patients with a chronic condition in an integrated delivery system offering a patient portal.Respondents reported barriers, preferences, and experiences in using the patient portal, and whether using the portal changed their overall health.Among all the 1824 respondents (70% response rate), portal nonusers reported preferring in-person health care (54%) or experiencing internet access barriers (41%). Portal users reported that using the portal was convenient (90%), the information available was useful (92%), and that it integrated well with other health care (92%). Among users, 31% reported that using the portal had improved their overall health. After adjustment, patients were significantly more likely to report that portal use improved their health if they had also reported convenience, information usefulness, or integration with other care (P0.05). Reassuringly, patient-reported impacts on overall health did not vary by patient characteristics (including age, race, sex, education, income, complex conditions).Patients with chronic conditions using the portal reported convenience, information usefulness, and integration of the patient portal with their health care; these may act as potential pathways improving health.

Objective: Online wellness programs offer a convenient way for newly diagnosed patients to engage with targeted health education and self-management tools, but there is limited evidence on use rates and user characteristics. We examined patient characteristics associated with use of an online diabetes self-management program among patients with a new diabetes diagnosis in a large integrated health system. Research Design and Methods: A diabetes self-management program was introduced on the health system's patient portal website in 2010 without formal clinician promotion. Using the health system clinical diabetes registry, we identified patients newly diagnosed with diabetes in 2010-2018 and examined the use of diabetes care tool in the same year they joined the registry. We examined use of the online diabetes program and used multivariable logistic regression model to examine the association between use and patient characteristics including age, gender, race/ethnicity, neighborhood socioeconomic status (SES) and baseline HbA1c. Results: Among 277,032 total patients diagnosed with diabetes 2010-2018, 1,734 (0.63%) patients used the diabetes management program in that same year. Patients of older age (OR=0.34, 95% CI: 0.27-0.43 for age 75+ vs. Conclusions: Few newly diagnosed diabetes patients used the diabetes management program on their own, with evidence of a digital divide in use. It is encouraging, however, that patients with higher baseline A1c were more likely to use the program. Efforts to promote patient-facing online tools use in clinical care delivery from providers may increase use, and research is needed on clinical impacts. Disclosure J. Huang: None. I. Graetz: None. M. Reed: None. Funding National Institute of Diabetes and Digestive and Kidney Diseases

BackgroundFor patients with diabetes, many with multiple complex chronic conditions, using a patient portal can support self-management and coordination of health care services, and may impact the frequency of in-person health care visits.ObjectiveTo examine the impact of portal access on the number of outpatient visits, emergency visits, and preventable hospitalizations.DesignObservational study comparing patients' visit rates with and without portal access, using marginal structural modeling with inverse probability weighting estimates to account for potential bias due to confounding and attrition.SettingLarge integrated delivery system which implemented a patient portal (2006-2007).PatientsWe examined 165,447 patients with diabetes defined using clinical registries. Our study included both patients with diabetes-only and patients with multiple complex chronic conditions (diabetes plus asthma, congestive artery disease, congestive heart failure, or hypertension).MeasurementsWe examined rates of outpatient office visits, emergency room visits, and preventable hospitalizations (for ambulatory care sensitive conditions).ResultsAccess to a patient portal was associated with significantly higher rates of outpatient office visits, in both patients with diabetes only and in patients with multiple complex conditions (pLimitationsObservational study in an integrated delivery system.ConclusionAccess to a patient portal can increase engagement in outpatient visits, potentially addressing unmet clinical needs, and reduce downstream health events that lead to emergency and hospital care, particularly among patients with multiple complex conditions.

Objective: Patient portal use can support self-management and expanding mobile portal access can potentially increase use. We examined the association between adding mobile portal access and medication adherence and glycemic levels among patient with diabetes. Research Design and Methods: Eligible patients were adults with diabetes in an integrated delivery system who filled an oral diabetes prescription at baseline (4/14-3/15), and who did not use insulin. For each study month (4/15-12/17), we categorized patients’ portal access status: never used, personal computer (PC) only, mobile only, or both PC and mobile (first four-months of any status change was categorized separately as a wash-out period). We measured adherence by monthly percent of days covered (PDC) with oral diabetes drugs. To examine glycemic control, we included the subset of patients with HbA1c results (72% of all patients). We assessed the association between portal access and study outcomes (PDC and HbA1c), using linear regression with patient-level fixed effects to account for unmeasured time-stable patient-level confounders, adjusting for temporal trend, and time-varying numbers of drugs and health events. Results: Among study patients (N= 111,463), the proportion with PC only portal access decreased from 30% to 13%, while the proportion using both mobile and PC increased from 34% to 62%. At baseline, 71.6% of patients had PDC≥80% and 78.8% had HbA1c Conclusions: The addition of mobile portal access is associated with higher medication adherence and improved glycemic control for patients with diabetes. Disclosure I. Graetz: None. J. Huang: None. B. Fireman: None. J. Hsu: None. M. Reed: None. Funding National Institute of Diabetes and Digestive and Kidney Diseases (R01DK085070 to M.R.)

1506 Background: The COVID-19 pandemic created an imperative to re-examine the role of telehealth in oncology. Herein we report trends and demographic disparities in utilization of telehealth and secure messaging (SM; i.e., email via portal/app), before and during the pandemic, at a large integrated healthcare system. Methods: This population-based retrospective cohort study examines utilization of various patient-provider visit types (office, video, telephone) and SM from 1/1/2019-9/30/2020 at 22 Kaiser Permanente Northern California Hematology and Oncology practices. We explored changes associated with the pandemic (i.e., since 03/2020, when stay home orders were introduced) as well as demographic differences, using Chi-square for categorical and the Mann-Whitney U Test for non-parametric comparisons. Results: During the study period, there were 334,666 visits and 1,161,239 SM sent between patients and providers. Since the pandemic, total monthly average of visits declined only slightly by 4.1%, but monthly average office visits decreased by 80% from 11,001 to 2,170, monthly average video visits increased from 40 to 4,666, and monthly average telephone visits increased by 69% from 5,114 to 8,663. The monthly average SM increased by 26% from 50,788 to 64,315. The trend of increasing telehealth utilization was sustained and stabilized between 07-09/2020. New consultations initially decreased from a mean of 1,995 per month (12.4% of all visits) in 2019, to a minimum of 1,179 (8.6%) by 05/2020, returning to 1,619 (11.7%) by 09/2020. Pandemic era video visits were a significantly higher fraction of all visits (p < 0.01) in: (1) younger patients (Gen Z 48%, Gen Y/Millennials 46%; Gen X 40%; Baby Boomers 34.4%; Pre-Boomers 24.5%); (2) patients with commercial insurance (39%) compared to those with Medicaid (32.7%) or Medicare (28.1%); (3) Primary English speakers (33.7%) compared to those who require an interpreter (24.5%);(4) Asians (35%) and non-Hispanic Whites (33.7%) compared to Blacks (30.1%) and Hispanic Whites (27.5%); (5) married/ domestic partner patients (35%) compared to single/divorced/widowed patients (29.9%); (6) patients with a Charlson comorbidity index ≤3 (36.2%) compared to > 3 (31.3%); and (7) males (34.6%) compared to females (32.3%). Similar statistically significant SM utilization patterns were also seen. Conclusions: In the pandemic era, utilization of telehealth and SM rapidly increased in all demographic categories, shifting the landscape and resource allocation of hematology/oncology practices in a manner that is feasible and sustained. New consultations decreased early in pandemic with return to pre-pandemic levels by 09/2020. Utilization of video visits and SM significantly differ between various demographic populations with disparities seen by age, insurance plan, English proficiency, race/ethnicity, marital status, comorbidities, and gender.

Background Increased work through electronic health record (EHR) messaging is frequently cited as a factor of physician burnout. However, studies to date have relied on anecdotal or self-reported measures, which limit the ability to match EHR use patterns with continuous stress patterns throughout the day. Objective The aim of this study is to collect EHR use and physiologic stress data through unobtrusive means that provide objective and continuous measures, cluster distinct patterns of EHR inbox work, identify physicians’ daily physiologic stress patterns, and evaluate the association between EHR inbox work patterns and physician physiologic stress. Methods Physicians were recruited from 5 medical centers. Participants (N=47) were given wrist-worn devices (Garmin Vivosmart 3) with heart rate sensors to wear for 7 days. The devices measured physiological stress throughout the day based on heart rate variability (HRV). Perceived stress was also measured with self-reports through experience sampling and a one-time survey. From the EHR system logs, the time attributed to different activities was quantified. By using a clustering algorithm, distinct inbox work patterns were identified and their associated stress measures were compared. The effects of EHR use on physician stress were examined using a generalized linear mixed effects model. Results Physicians spent an average of 1.08 hours doing EHR inbox work out of an average total EHR time of 3.5 hours. Patient messages accounted for most of the inbox work time (mean 37%, SD 11%). A total of 3 patterns of inbox work emerged: inbox work mostly outside work hours, inbox work mostly during work hours, and inbox work extending after hours that were mostly contiguous to work hours. Across these 3 groups, physiologic stress patterns showed 3 periods in which stress increased: in the first hour of work, early in the afternoon, and in the evening. Physicians in group 1 had the longest average stress duration during work hours (80 out of 243 min of valid HRV data; P=.02), as measured by physiological sensors. Inbox work duration, the rate of EHR window switching (moving from one screen to another), the proportion of inbox work done outside of work hours, inbox work batching, and the day of the week were each independently associated with daily stress duration (marginal R2=15%). Individual-level random effects were significant and explained most of the variation in stress (conditional R2=98%). Conclusions This study is among the first to demonstrate associations between electronic inbox work and physiological stress. We identified 3 potentially modifiable factors associated with stress: EHR window switching, inbox work duration, and inbox work outside work hours. Organizations seeking to reduce physician stress may consider system-based changes to reduce EHR window switching or inbox work duration or the incorporation of inbox management time into work hours.

SummaryAdoption of clinical decision support (CDS) tools by clinicians is often limited by workflow barriers. We sought to assess characteristics associated with clinician use of an electronic health record-embedded clinical decision support system (CDSS).In a prospective study on emergency department (ED) activation of a CDSS tool across 14 hospitals between 9/1/14 to 4/30/15, the CDSS was deployed at 10 active sites with an on-site champion, education sessions, iterative feedback, and up to 3 gift cards/clinician as an incentive. The tool was also deployed at 4 passive sites that received only an introductory educational session. Activation of the CDSS – which calculated the Pulmonary Embolism Severity Index (PESI) score and provided guidance – and associated clinical data were collected prospectively. We used multivariable logistic regression with random effects at provider/facility levels to assess the association between activation of the CDSS tool and characteristics at: 1) patient level (PESI score), 2) provider level (demographics and clinical load at time of activation opportunity), and 3) facility level (active vs. passive site, facility ED volume, and ED acuity at time of activation opportunity).Out of 662 eligible patient encounters, the CDSS was activated in 55%: active sites: 68% (346/512); passive sites 13% (20/150). In bivariate analysis, active sites had an increase in activation rates based on the number of prior gift cards the physician had received (96% if 3 prior cards versus 60% if 0, pPerforming on-site tool promotion significantly increased odds of CDSS activation. Optimizing CDSS adoption requires active education.Citation: Ballard DW, Vemula R, Chettipally UK, Kene MV, Mark DG, Elms AK, Lin JS, Reed ME, Huang J, Rauchwerger AS, Vinson DR, for the KP CREST Network Investigators. Optimizing clinical decision support in the electronic health record – clinical characteristics associated with the use of a decision tool for disposition of ED patients with pulmonary embolism.

Background: In response to the SARS-CoV-2 pandemic, the multidisciplinary care of cancer patients has rapidly evolved. This study aims to determine utilization trends of in-person, telephone, and video visits, before and after the California shelter-in-place (SIP) orders on 3/19/20, and assess perspectives of cancer care providers on telehealth. Methods: This study was conducted in 22 medical centers of a large integrated health care system. Utilization of different visit types in medical oncology (excluding infusion visits) was collected between 12/1/2019–5/24/2020, for a total of 104,588 visits. Chi-square with Yates correction was used for p-values. Voluntary, anonymous electronic surveys were sent to 276 cancer care providers measuring attitudes and experiences with telehealth. Overall, 68.8% responded: 101/128 medical oncologists (MedOnc), 34/37 radiation oncologists (RadOnc), 16/62 breast surgeons (Brst Surg), 18/28 breast oncology nurse navigators (OncNav), and 21/21 cancer survivorship advanced practitioners (SurvOnc). Results: Comparing visit types prior to and after SIP, in-person visits went from 55.3% to 3.3%, telephone visits went from 44.2% to 79%, and video visits went from 0.5% to 17.8% (p Conclusion: Overall, telehealth utilization has rapidly increased and is well accepted by various cancer care providers. Addressing technical issues and tailoring visit type to specific activities may further promote telehealth adoption and satisfaction. Citation Format: Elad Neeman, Tatjana Kolevska, Mary Reed, Tilak Sundaresan, Amit Arora, Yan Li, Samantha Seaward, Gillian Kuehner, Sharon Likely, Julia Trossman, Christine Weldon, Raymond Liu. Cancer care telehealth utilization rates and provider attitudes in the wake of the novel coronavirus pandemic: The Kaiser Permanente Northern California experience [abstract]. In: Proceedings of the AACR Virtual Meeting: COVID-19 and Cancer; 2020 Jul 20-22. Philadelphia (PA): AACR; Clin Cancer Res 2020;26(18_Suppl):Abstract nr S06-03.

There is limited analysis of patients treated in emergency departments (ED) for heart failure (HF), especially by left ventricular ejection fraction (EF) status. We evaluated outcomes among patients treated in the ED for HF with preserved (HFpEF, ≥ 50%) and reduced (HFrEF, < 50%) EF.

IMPORTANCE: Online patient portals support self-management, and mobile devices expand portal access, but whether this translates to improvements in diabetes outcomes is unclear. OBJECTIVE: To examine the association of adding mobile patient portal access with diabetes medication adherence and glycemic levels among adults with diabetes. DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study included patients with diabetes treated at Kaiser Permanente Northern California, a large, integrated health care delivery system, from April 1, 2015, to December 31, 2017. Inclusion criteria were adults with diabetes with an oral diabetes prescription at baseline and no insulin use. Data were analyzed from March 2018 to March 2019. EXPOSURES: Patient portal access status for each calendar month from April 2015 to December 2017, categorized as never used, used from a computer only, used from a mobile device only, or used from both computer and mobile device. MAIN OUTCOMES AND MEASURES: Medication adherence, measured by monthly percentage of days covered (PDC), and glycemic levels, measured by changes in glycated hemoglobin A(1c) (HbA(1c)) levels. The association of portal access with study outcomes was assessed using linear regression with patient-level fixed effects and adjusting for time-changing variables, stratified by baseline HbA(1c) level. RESULTS: Among 111 463 included patients (mean [SD] age, 63.79 [12.93] years; 59 918 [53.76%] men), the number of patients using the portal from both a computer and mobile device increased over time from 38 371 patients (34.42%) in April 2015 to 57 920 patients (61.71%) in December 2017. Among patients with no prior portal access, adding computer-only portal access was associated with an increase in PDC of 1.16 (95% CI, 0.63 to 1.70) percentage points and a change of −0.06 (95% CI, −0.08 to −0.03) percentage points in HbA(1c) level, and adding both mobile and computer portal access was associated with an increase in PDC of 1.67 (95% CI, 1.10 to 2.23) percentage points and a change of −0.13 (95% CI, −0.16 to −0.10) percentage points in HbA(1c) level. Among patients with higher baseline HbA(1c) level (>8.0%), changing from no portal access to both computer and mobile access was associated with an increase in PDC of 5.09 (95% CI, 3.78 to 6.40) percentage points and a change of −0.19 (95% CI, −0.27 to −0.15) percentage points in HbA(1c) level. CONCLUSIONS AND RELEVANCE: These findings suggest that providing patients with computer patient portal access and combining it with mobile patient portal access are associated with significantly improved diabetes medication adherence and glycemic control, with greater benefits among patients with more clinical need. Convenient access to portal self-management tools through a mobile device could significantly improve diabetes management.

Video Telemedicine Integrated with Clinical Care An integrated delivery system introduced video-visit capability for all clinicians in 2014. More than 150,000 patients participated in video visits ...