Boarding in US Academic Emergency Departments During the COVID-19 Pandemic.

STUDY OBJECTIVE: The first 2 years of the COVID-19 pandemic brought substantial and dynamic changes to emergency department volumes and throughput. The objective of this study was to describe changes in ED boarding among US academic EDs across the duration of the COVID-19 pandemic. METHODS: We conducted a retrospective analysis of monthly data collected from a convenience sample of academic departments of emergency medicine. The study period was from January 2019 to December 2021. The primary outcome was total boarding hours, and secondary outcomes included patient volume stratified by ED disposition. We used multivariable linear panel regression models with fixed effects for individual EDs to estimate adjusted means for 3-month quarters. RESULTS: Of the 73 academic departments of emergency medicine contacted, 34 (46.6%) participated, comprising 43 individual EDs in 25 states. The adjusted mean total boarding hours per month significantly decreased during the second quarter of 2020 (4,449 hours; 95% confidence interval [CI] 3,189 to 5,710) compared to the first quarter of 2019 (8,521 hours; 95% CI 7,845 to 9,197). Beginning in the second quarter of 2021, total boarding hours significantly increased beyond pre-pandemic levels, peaking during the fourth quarter of 2021 (12,127 hours; 95% CI 10,925 to 13,328). CONCLUSIONS: A sustained and considerable increase in boarding observed in selected US academic EDs during later phases of the COVID-19 pandemic may reflect ongoing stresses to the health care system, with potential consequences for patient outcomes as well as clinician well-being.

Patient and clinician perspectives of a remote monitoring program for COVID-19 and lessons for future programs.

COVID Watch is a remote patient monitoring program implemented during the pandemic to support home dwelling patients with COVID-19. The program conferred a large survival advantage. We conducted semi-structured interviews of 85 patients and clinicians using COVID Watch to understand how to design such programs even better. Patients and clinicians found COVID Watch to be comforting and beneficial, but both groups desired more clarity about the purpose and timing of enrollment and alternatives to text-messages to adapt to patients' preferences as these may have limited engagement and enrollment among marginalized patient populations. Because inclusiveness and equity are important elements of programmatic success, future programs will need flexible and multi-channel human-to-human communication pathways for complex clinical interactions or for patients who do not desire tech-first approaches.

Comparative Effectiveness of an Automated Text Messaging Service for Monitoring COVID-19 at Home.

BACKGROUND: Although most patients with SARS-CoV-2 infection can be safely managed at home, the need for hospitalization can arise suddenly. OBJECTIVE: To determine whether enrollment in an automated remote monitoring service for community-dwelling adults with COVID-19 at home ("COVID Watch") was associated with improved mortality. DESIGN: Retrospective cohort analysis. SETTING: Mid-Atlantic academic health system in the United States. PARTICIPANTS: Outpatients who tested positive for SARS-CoV-2 between 23 March and 30 November 2020. INTERVENTION: The COVID Watch service consists of twice-daily, automated text message check-ins with an option to report worsening symptoms at any time. All escalations were managed 24 hours a day, 7 days a week by dedicated telemedicine clinicians. MEASUREMENTS: Thirty- and 60-day outcomes of patients enrolled in COVID Watch were compared with those of patients who were eligible to enroll but received usual care. The primary outcome was death at 30 days. Secondary outcomes included emergency department (ED) visits and hospitalizations. Treatment effects were estimated with propensity score-weighted risk adjustment models. RESULTS: A total of 3488 patients enrolled in COVID Watch and 4377 usual care control participants were compared with propensity score weighted models. At 30 days, COVID Watch patients had an odds ratio for death of 0.32 (95% CI, 0.12 to 0.72), with 1.8 fewer deaths per 1000 patients (CI, 0.5 to 3.1) (P = 0.005); at 60 days, the difference was 2.5 fewer deaths per 1000 patients (CI, 0.9 to 4.0) (P = 0.002). Patients in COVID Watch had more telemedicine encounters, ED visits, and hospitalizations and presented to the ED sooner (mean, 1.9 days sooner [CI, 0.9 to 2.9 days]; all P < 0.001). LIMITATION: Observational study with the potential for unobserved confounding. CONCLUSION: Enrollment of outpatients with COVID-19 in an automated remote monitoring service was associated with reduced mortality, potentially explained by more frequent telemedicine encounters and more frequent and earlier presentation to the ED. PRIMARY FUNDING SOURCE: Patient-Centered Outcomes Research Institute.

Naloxone prescriptions following emergency department encounters for opioid use disorder, overdose, or withdrawal.

OBJECTIVE: To determine the rate at which commercially-insured patients fill prescriptions for naloxone after an opioid-related ED encounter as well as patient characteristics associated with obtaining naloxone. METHODS: This is a retrospective cohort study of adult patients discharged from the ED following treatment for an opioid-related condition from 2016 to 2018 using a commercial insurance claims database (Optum Clinformatics® Data Mart). The primary outcome was a pharmacy claim for naloxone in the 30 days following the ED encounter. A multivariable logistic regression model examined the association of patient characteristics with filled naloxone prescriptions, and predictive margins were used to report adjusted probabilities with 95% confidence intervals. RESULTS: 21,700 patients had opioid-related ED encounters during the study period, of which 1743 (8.0%) had encounters for heroin overdose, 8825 (40.7%) for overdose due to other opioids, 5400 (24.9%) for withdrawal, and 5732 (26.4%) for other opioid use disorder conditions. 230 patients (1.1%) filled a prescription for naloxone within 30 days. Patients with heroin overdose (2.6%; 95%CI 1.7 to 3.4), recent prescriptions for opioid analgesics (1.4%; 95%CI 1.1 to 1.7), recent prescriptions for buprenorphine (1.9%; 95%CI 1.0 to 2.9), and naloxone prescriptions in the prior year (3.3%; 95%CI 1.8 to 4.8) were more likely to obtain naloxone. The rate was significantly higher in 2018 [1.9% (95%CI 1.5 to 2.2)] as compared to 0.4% (95%CI 0.3 to 0.6) in 2016. CONCLUSIONS: Few patients use insurance to obtain naloxone by prescription following opioid-related ED encounters. Clinical and policy interventions should expand distribution of this life-saving medication in the ED.

Quality Through Coopetition: An Empiric Approach to Measure Population Outcomes for Emergency Care-Sensitive Conditions.

STUDY OBJECTIVE: We develop a novel approach for measuring regional outcomes for emergency care-sensitive conditions. METHODS: We used statewide inpatient hospital discharge data from the Pennsylvania Healthcare Cost Containment Council. This cross-sectional, retrospective, population-based analysis used International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes to identify admissions for emergency care-sensitive conditions (ischemic stroke, ST-segment elevation myocardial infarction, out-of-hospital cardiac arrest, severe sepsis, and trauma). We analyzed the origin and destination patterns of patients, grouped hospitals with a hierarchical cluster analysis, and defined boundary shapefiles for emergency care service regions. RESULTS: Optimal clustering configurations determined 10 emergency care service regions for Pennsylvania. CONCLUSION: We used cluster analysis to empirically identify regional use patterns for emergency conditions requiring a communitywide system response. This method of attribution allows regional performance to be benchmarked and could be used to develop population-based outcome measures after life-threatening illness and injury.

A Randomized Trial Testing the Effect of Narrative Vignettes Versus Guideline Summaries on Provider Response to a Professional Organization Clinical Policy for Safe Opioid Prescribing.

STUDY OBJECTIVE: Clinical guidelines are known to be underused by practitioners. In response to the challenges of treating pain amid a prescription opioid epidemic, the American College of Emergency Physicians (ACEP) published an evidence-based clinical policy for opioid prescribing in 2012. Evidence-based narratives, an effective method of communicating health information in a variety of settings, offer a novel strategy for disseminating guidelines to physicians and engaging providers with clinical evidence. We compare whether narrative vignettes embedded in the ACEP daily e-newsletter improved dissemination of the clinical policy to ACEP members, and engagement of members with the clinical policy, compared with traditional summary text. METHODS: A prospective randomized controlled study, titled Stories to Promote Information Using Narrative trial, was performed. Derived from qualitative interviews with 61 ACEP physicians, 4 narrative vignettes were selected and refined, using a consensus panel of clinical and implementation experts. All ACEP members were then block randomized by state of residence to receive alternative versions of a daily e-mailed newsletter for a total of 24 days during a 9-week period. Narrative newsletters contained a selection of vignettes that referenced opioid prescription dilemmas. Control newsletters contained a selection of descriptive text about the clinical policy, using length and appearance similar to that of the narrative vignettes. Embedded in the newsletters were Web links to the complete vignette or traditional summary text, as well as additional links to the full ACEP clinical policy and a Web site providing assistance with prescription drug monitoring program enrollment. The newsletters were otherwise identical. Outcomes measured were the percentage of subjects who visited any of the Web pages that contained additional guideline-related information and the odds of any unique physician visiting these Web pages during the study. RESULTS: There were 27,592 physicians randomized, and 21,226 received the newsletter during the study period. When each physician was counted once during the study period, there were 509 unique visitors in the narrative group and 173 unique visitors in the control group (4.8% versus 1.6%; difference 3.2%; 95% confidence interval [CI] 2.7% to 3.7%). There were 744 gross visits from the e-newsletter to any of the 3 Web pages in the narrative group compared with 248 in the control group (7.0% versus 2.3%; odds ratio 3.2; 95% CI 2.7 to 3.6). During the study, the odds ratio of any physician in the narrative group visiting one of the 3 informational Web sites compared with the control group was 3.1 (95% CI 2.6 to 3.6). CONCLUSION: Among a national sample of emergency physicians, narrative vignettes outperformed traditional guideline text in promoting engagement with an evidence-based clinical guideline related to opioid prescriptions.

Do hospital service areas and hospital referral regions define discrete health care populations?

BACKGROUND: Effective measurement of health care quality, access, and cost for populations requires an accountable geographic unit. Although Hospital Service Areas (HSAs) and Hospital Referral Regions (HRRs) have been extensively used in health services research, it is unknown whether these units accurately describe patterns of hospital use for patients living within them. OBJECTIVES: To evaluate the ability of HSAs, HRRs, and counties to define discrete health care populations. RESEARCH DESIGN: Cross-sectional geographic analysis of hospital admissions. SUBJECTS: All hospital admissions during the year 2011 in Washington, Arizona, and Florida. MEASURES: The main outcomes of interest were 3 metrics that describe patient movement across HSA, HRR, and county boundaries: localization index, market share index, and net patient flow. Regression models tested the association of these metrics with different HSA characteristics. RESULTS: For 45% of HSAs, fewer than half of the patients were admitted to hospitals located in their HSA of residence. For 16% of HSAs, more than half of the treated patients lived elsewhere. There was an equivalent degree of movement across county boundaries but less movement across HRR boundaries. Patients living in populous, urban HSAs with multiple, large, and teaching hospitals tended to remain for inpatient care. Patients admitted through the emergency department tended to receive care at local hospitals relative to other patients. CONCLUSIONS: HSAs and HRRs are geographic units commonly used in health services research yet vary in their ability to describe where patients receive hospital care. Geographic models may need to account for differences between emergent and nonemergent care.

How, why, and for whom do emergency medicine providers use prescription drug monitoring programs?

OBJECTIVE: The prescription opioid epidemic is currently responsible for the greatest number of unintentional deaths in the United States. One potential strategy for decreasing this epidemic is implementation of state-based Prescription Drug Monitoring Programs (PDMPs), which are designed for providers to identify patients who "doctor shop" for prescriptions. Emergency medicine physicians are some of the most frequent PDMP users and opioid prescribers, but little is known about how they actually use PDMPs, for which patients, and for what reasons. METHODS: We conducted and transcribed semistructured qualitative interviews with 61 physicians at a national academic conference in October 2012. Deidentified transcripts were entered into QSR NVivo 10.0, coded, and analyzed for themes using modified grounded theory. RESULTS: There is variation in pattern and frequency of PDMP access by emergency physicians. Providers rely on both structural characteristics of the PDMP, such as usability, and also their own clinical gestalt impression when deciding to use PDMPs for a given patient encounter. Providers use the information in PDMPs to alter clinical decisions and guide opioid prescribing patterns. Physicians describe alternative uses for the databases, such as improving their ability to facilitate discussions on addiction and provide patient education. CONCLUSION: PDMPs are used for multiple purposes, including identifying opioid misuse and enhancing provider-patient communication. Given variation in practice, standards may help direct indication and manner of physician use. Steps to minimize administrative barriers to PDMP access are warranted. Finally, alternative PDMP uses should be further studied to determine their appropriateness and potentially expand their role in clinical practice.

Hidden in plain sight: a crowdsourced public art contest to make automated external defibrillators more visible.

OBJECTIVES: We sought to explore the feasibility of using a crowdsourcing study to promote awareness about automated external defibrillators (AEDs) and their locations. METHODS: The Defibrillator Design Challenge was an online initiative that asked the public to create educational designs that would enhance AED visibility, which took place over 8 weeks, from February 6, 2014, to April 6, 2014. Participants were encouraged to vote for AED designs and share designs on social media for points. Using a mixed-methods study design, we measured participant demographics and motivations, design characteristics, dissemination, and Web site engagement. RESULTS: Over 8 weeks, there were 13 992 unique Web site visitors; 119 submitted designs and 2140 voted. The designs were shared 48 254 times on Facebook and Twitter. Most designers-voters reported that they participated to contribute to an important cause (44%) rather than to win money (0.8%). Design themes included: empowerment, location awareness, objects (e.g., wings, lightning, batteries, lifebuoys), and others. CONCLUSIONS: The Defibrillator Design Challenge engaged a broad audience to generate AED designs and foster awareness. This project provides a framework for using design and contest architecture to promote health messages.

How do physicians adopt and apply opioid prescription guidelines in the emergency department? A qualitative study.

STUDY OBJECTIVE: An increase in prescriptions for opioid pain medications has coincided with increasing opioid overdose deaths. Guidelines designed to optimize opioid prescriptions written in the emergency department have been implemented, with substantial controversy. Little is known about how physicians perceive and apply these guidelines. We seek to identify key themes about emergency physicians' definition, awareness, use, and opinions of opioid-prescribing guidelines. METHODS: We conducted semistructured qualitative interviews with a convenience sample of 61 emergency physicians attending the American College of Emergency Physicians Scientific Assembly (October 2012, Denver, CO). Participants varied with respect to age, sex, geographic region, practice setting, and years of practice experience. We analyzed the interview content with modified grounded theory, an iterative coding process to identify patterns of responses and derive key themes. The study team examined discrepancies in the coding process to ensure reliability and establish consensus. RESULTS: When aware of opioid-prescribing guidelines, emergency physicians often defined them as policies developed by individual hospitals that sometimes reflected guidelines at the state or national level. Guidelines were primarily used by physicians to communicate decisions to limit prescriptions to patients on discharge rather than as tools for decisionmaking. Attitudes toward guidelines varied with regard to general attitudes toward opioid medications, as well as the perceived effects of guidelines on physician autonomy, public health, liability, and patient diversion. CONCLUSION: These exploratory findings suggest that hospital-based opioid guidelines complement and occasionally supersede state and national guidelines and that emergency physicians apply guidelines primarily as communication tools. The perspectives of providers should inform future policy actions that seek to address the problem of opioid abuse and overdose through practice guidelines.

Use of social media across US hospitals: descriptive analysis of adoption and utilization.

BACKGROUND: Use of social media has become widespread across the United States. Although businesses have invested in social media to engage consumers and promote products, less is known about the extent to which hospitals are using social media to interact with patients and promote health. OBJECTIVE: The aim was to investigate the relationship between hospital social media extent of adoption and utilization relative to hospital characteristics. METHODS: We conducted a cross-sectional review of hospital-related activity on 4 social media platforms: Facebook, Twitter, Yelp, and Foursquare. All US hospitals were included that reported complete data for the Centers for Medicare and Medicaid Services Hospital Consumer Assessment of Healthcare Providers and Systems survey and the American Hospital Association Annual Survey. We reviewed hospital social media webpages to determine the extent of adoption relative to hospital characteristics, including geographic region, urban designation, bed size, ownership type, and teaching status. Social media utilization was estimated from user activity specific to each social media platform, including number of Facebook likes, Twitter followers, Foursquare check-ins, and Yelp reviews. RESULTS: Adoption of social media varied across hospitals with 94.41% (3351/3371) having a Facebook page and 50.82% (1713/3371) having a Twitter account. A majority of hospitals had a Yelp page (99.14%, 3342/3371) and almost all hospitals had check-ins on Foursquare (99.41%, 3351/3371). Large, urban, private nonprofit, and teaching hospitals were more likely to have higher utilization of these accounts. CONCLUSIONS: Although most hospitals adopted at least one social media platform, utilization of social media varied according to several hospital characteristics. This preliminary investigation of social media adoption and utilization among US hospitals provides the framework for future studies investigating the effect of social media on patient outcomes, including links between social media use and the quality of hospital care and services.

Precipitated opioid withdrawal after buprenorphine administration in patients presenting to the emergency department: A case series.

Objectives: Buprenorphine is a highly effective medication for the treatment of opioid use disorder, but it can cause precipitated withdrawal (PW) from opioids. Incidence, risk factors, and best approaches to management of PW are not well understood. Our objective was to describe adverse outcomes after buprenorphine administration among emergency department (ED) patients and assess whether they met the criteria for PW. Methods: This study is a case series using retrospective chart review in a convenience sample of patients from 3 hospitals in an urban academic health system. This study included patients who were reported by clinicians as potential cases of PW. Relevant clinical data were abstracted from the electronic health record using a structured retrospective chart review instrument. Results: A total of 13 cases were included and classified into the following 3 categories: (1) PW after buprenorphine administration consistent with guidelines (n = 5), (2) PW after deviating from guidelines (n = 4), and (3) protracted opioid withdrawal with no increase in Clinical Opiate Withdrawal Scale score (n = 4). A total of 11 patients had urine drug testing positive for fentanyl, and 11 patients received additional doses of buprenorphine for symptom management. Of the patients, 5 had self-directed hospital discharges, and 6 were ultimately discharged with prescriptions for buprenorphine. Conclusions: Cases of adverse outcomes after buprenorphine administration in the ED and hospital meet criteria for PW, although some cases may have represented protracted opioid withdrawal. Further investigation into the incidence, risk factors, management of PW as well as patient perspectives is needed to expand and sustain the use of buprenorphine in EDs and hospitals.

Association of Urine Fentanyl Concentration With Severity of Opioid Withdrawal Among Patients Presenting to the Emergency Department.

BACKGROUND AND AIMS: Fentanyl is involved in most US drug overdose deaths and its use can complicate opioid withdrawal management. Clinical applications of quantitative urine fentanyl testing have not been demonstrated previously. The aim of this study was to determine whether urine fentanyl concentration is associated with severity of opioid withdrawal. DESIGN: This is a retrospective cross-sectional study. SETTING: This study was conducted in 3 emergency departments in an urban, academic health system from January 1, 2020, to December 31, 2021. PARTICIPANTS: This study included patients with opioid use disorder, detectable urine fentanyl or norfentanyl, and Clinical Opiate Withdrawal Scale (COWS) recorded within 6 hours of urine drug testing. MEASUREMENTS: The primary exposure was urine fentanyl concentration stratified as high (>400 ng/mL), medium (40-399 ng/mL), or low (<40 ng/mL). The primary outcome was opioid withdrawal severity measured with COWS within 6 hours before or after urine specimen collection. We used a generalized linear model with γ distribution and log-link function to estimate the adjusted association between COWS and the exposures. FINDINGS: For the 1127 patients in our sample, the mean age (SD) was 40.0 (10.7), 384 (34.1%) identified as female, 332 (29.5%) reported their race/ethnicity as non-Hispanic Black, and 658 (58.4%) reported their race/ethnicity as non-Hispanic White. For patients with high urine fentanyl concentrations, the adjusted mean COWS (95% confidence interval) was 4.4 (3.9-4.8) compared with 5.5 (5.1-6.0) among those with medium and 7.7 (6.8-8.7) among those with low fentanyl concentrations. CONCLUSIONS: Lower urine fentanyl concentration was associated with more severe opioid withdrawal, suggesting potential clinical applications for quantitative urine measurements in evolving approaches to fentanyl withdrawal management.

Association Between Hospital Adoption of an Emergency Department Treatment Pathway for Opioid Use Disorder and Patient Initiation of Buprenorphine After Discharge.

Importance: Emergency department (ED)-based initiation of buprenorphine has been shown to increase engagement in outpatient treatment and reduce the risk of subsequent opioid overdose; however, rates of buprenorphine treatment in the ED and follow-up care for opioid use disorder (OUD) remain low in the US. The Opioid Hospital Quality Improvement Program (O-HQIP), a statewide financial incentive program designed to increase engagement in OUD treatment for Medicaid-enrolled patients who have ED encounters, has the potential to increase ED-initiated buprenorphine treatment. Objective: To evaluate the association between hospitals attesting to an ED buprenorphine treatment O-HQIP pathway and patients' subsequent initiation of buprenorphine treatment. Design, Setting, and Participants: This cohort study included Pennsylvania patients aged 18 to 64 years with continuous Medicaid enrollment 6 months before their OUD ED encounter and at least 30 days after discharge between January 1, 2016, and December 31, 2020. Patients with a claim for medication for OUD 6 months before their index encounter were excluded. Exposures: Hospital implementation of an ED buprenorphine treatment O-HQIP pathway. Main Outcomes and Measures: The main outcome was patients' receipt of buprenorphine within 30 days of their index OUD ED visit. Between August 2021 and January 2023, data were analyzed using a difference-in-differences method to evaluate the association between hospitals' O-HQIP attestation status and patients' treatment with buprenorphine after ED discharge. Results: The analysis included 17 428 Medicaid-enrolled patients (female, 43.4%; male, 56.6%; mean [SD] age, 37.4 [10.8] years; Black, 17.5%; Hispanic, 7.9%; White, 71.6%; other race or ethnicity, 3.0%) with OUD seen at O-HQIP-attesting or non-O-HQIP-attesting hospital EDs. The rate of prescription fills for buprenorphine within 30 days of an OUD ED discharge in the O-HQIP attestation hospitals before the O-HQIP intervention was 5%. The O-HQIP attestation was associated with a statistically significant increase (2.6 percentage points) in prescription fills for buprenorphine within 30 days of an OUD ED discharge (ß, 0.026; 95% CI, 0.005-0.047). Conclusions and Relevance: In this cohort study, the O-HQIP was associated with an increased initiation of buprenorphine in patients with OUD presenting to the ED. These findings suggest that statewide incentive programs may effectively improve outcomes for patients with OUD.

Health Care Leaders' Perspectives on the Maryland All-Payer Model.

Importance: Since 2014, all hospitals in Maryland have operated under an all-payer global budget system. Hospital global budgets have gained renewed attention as a strategy for constraining cost growth, improving patient outcomes, and preserving health care access in rural and underserved communities. Lessons from the implementation of the Maryland All-Payer Model (MDAPM) may have implications for policy makers, payers, and hospitals in other settings seeking to adopt global budgets or other value-based payment models. Objective: To examine perspectives on the implementation of the MDAPM among health care leaders who participated in its design and execution. Design Setting and Participants: This qualitative study with semistructured telephone interviews was conducted from November 1, 2019, to February 11, 2020. The purposive sample of Maryland health care leaders represents diverse stakeholder groups, including hospitals, state government and regulatory agencies, the federal government, and payers. Main Outcomes and Measures: Key high-level themes were extracted from interviews using qualitative content analysis, with barriers and facilitators to implementation specified within each theme. Results: A total of 20 interviews were conducted with hospital leaders (n = 6), state regulators (n = 4), federal regulators (n = 4), payer representatives (n = 3), and state leaders (n = 3). Key themes were labeled as (1) expectations (setting bold yet achievable goals), (2) autonomy (allowing hospitals to follow individual strategies within MDAPM parameters), (3) communication (encouraging early and ongoing communication between stakeholders), (4) actionable data (sharing useful hospital and patient-level data between stakeholders), (5) global budget calibration (anticipating technical challenges when negotiating budgets for individual hospitals), and (6) shared commitment to change (harnessing collective motivation for system change). Together, these themes suggest that implementing the payment model followed an evolving and collaborative process that requires stakeholder communication, data to guide decisions, and commitment to operating within the new payment system. Conclusions and Relevance: The implementation of hospital global budgets in the state of Maryland offers generalizable lessons that can inform the evolution and expansion of this approach to value-based payment in other states and settings.

Association Between In-Person vs Telehealth Follow-up and Rates of Repeated Hospital Visits Among Patients Seen in the Emergency Department.

Importance: For patients discharged from the emergency department (ED), timely outpatient in-person follow-up is associated with improved mortality, but the effectiveness of telehealth as follow-up modality is unknown. Objective: To evaluate whether the rates of ED return visits and hospitalization differ between patients who obtain in-person vs telehealth encounters for post-ED follow-up care. Design, Setting, and Participants: This retrospective cohort study included adult patients who presented to either of 2 in-system EDs of a single integrated urban academic health system from April 1, 2020, to September 30, 2021; were discharged home; and obtained a follow-up appointment with a primary care physician within 14 days of their index ED visit (15 total days). Exposures: In-person vs telehealth post-ED discharge follow-up within 14 days. Main Outcomes and Measures: Multivariable logistic regression was used to estimate the odds of ED return visits (primary outcome) or hospitalization (secondary outcome) within 30 days of an ED visit based on the modality of post-ED discharge follow-up. Models were adjusted for age, sex, primary language, race, ethnicity, Social Vulnerability Index, insurance type, distance to the ED, ambulatory billing codes for the index visit, and the time from ED discharge to follow-up. Results: Overall, 12 848 patients with 16 987 ED encounters (mean [SD] age, 53 [20] years; 9714 [57%] women; 2009 [12%] Black or African American; 3806 [22%] Hispanic or Latinx; and 9858 [58%] White) were included; 11 818 (70%) obtained in-person follow-up, and 5169 (30%) obtained telehealth follow-up. Overall, 2802 initial ED encounters (17%) led to returns to the ED, and 676 (4%) led to subsequent hospitalization. In adjusted analyses, telehealth vs in-person follow-up visits were associated with increased rates of ED returns (28.3 [95% CI, 11.3-45.3] more ED returns per 1000 encounters) and hospitalizations (10.6 [95% CI, 2.9-18.3] more hospitalizations per 1000 encounters). Conclusions and Relevance: In this cohort study of patients in an urban integrated health care system, those with telehealth follow-up visits after an ED encounter were more likely to return to the ED and be hospitalized than patients with in-person follow-up. The use of telehealth warrants further evaluation to examine its effectiveness as a modality for continuing care after an initial ED presentation for acute illness.

Incidence of Timely Outpatient Follow-Up Care After Emergency Department Encounters for Acute Heart Failure.

BACKGROUND: Patients who are discharged from the emergency department (ED) after an encounter for acute heart failure are at high risk for return hospitalization. These patients may benefit from timely outpatient follow-up care to reassess volume status, adjust medications, and reinforce self-care strategies. This study examines the incidence of outpatient follow-up care after ED encounters for acute heart failure and describes patient characteristics associated with obtaining timely follow-up care. METHODS: We conducted a retrospective cohort study using an administrative claims database for a large US commercial insurer, from January 1, 2012 to June 30, 2019. Participants included adult patients discharged from the ED with principal diagnosis of acute heart failure. The primary outcome was obtaining an in-person outpatient clinic visit for heart failure within 30 days. We also examined the competing risk of all-cause hospitalization within 30 days and without an intervening outpatient clinic visit. We estimated competing risk regression models to identify patient characteristics associated with obtaining outpatient follow-up and report cause-specific hazard ratios. RESULTS: The cohort included 52 732 patients, with mean age of 73.9 years (95% CI, 73.8-74.0) and 27 395 (52.0% [95% CI, 51.5-52.4]) female patients. Within 30 days of the ED encounter, 12 279 (23.2%) patients attended an outpatient clinic visit for heart failure, with 8382 (15.9%) patients hospitalized before they could obtain an outpatient clinic visit. In the adjusted analysis, patients that were younger, women, reporting non-Hispanic Black race, and had fewer previous clinic visits were less likely to obtain outpatient follow-up care. CONCLUSIONS: Few patients obtain timely outpatient follow-up after ED visits for heart failure, although nearly 20% require hospitalization within 30 days. Improved transitions following discharge from the ED may represent an opportunity to improve outcomes for patients with acute heart failure.