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.

Are There Differences in Postoperative Opioid Prescribing Across Racial and Ethnic Groups? Assessment of an Academic Health System.

BACKGROUND: Previous studies have demonstrated racial disparities in opioid prescribing in emergency departments and after surgical procedures. Orthopaedic surgeons account for a large proportion of dispensed opioid prescriptions, yet there are few data investigating whether racial or ethnic disparities exist in opioid dispensing after orthopaedic procedures. QUESTIONS/PURPOSES: (1) Are Black, Hispanic or Latino, or Asian or Pacific Islander (PI) patients less likely than non-Hispanic White patients to receive an opioid prescription after an orthopaedic procedure in an academic United States health system? (2) Of the patients who do receive a postoperative opioid prescription, do Black, Hispanic or Latino, or Asian or PI patients receive a lower analgesic dose than non-Hispanic White patients when analyzed by type of procedure performed? METHODS: Between January 2017 and March 2021, 60,782 patients underwent an orthopaedic surgical procedure at one of the six Penn Medicine healthcare system hospitals. Of these patients, we considered patients who had not been prescribed an opioid within 1 year eligible for the study, resulting in 61% (36,854) of patients. A total of 40% (24,106) of patients were excluded because they did not undergo one of the top eight most-common orthopaedic procedures studied or their procedure was not performed by a Penn Medicine faculty member. Missing data consisted of 382 patients who had no race or ethnicity listed in their record or declined to provide a race or ethnicity; these patients were excluded. This left 12,366 patients for analysis. Sixty-five percent (8076) of patients identified as non-Hispanic White, 27% (3289) identified as Black, 3% (372) identified as Hispanic or Latino, 3% (318) identified as Asian or PI, and 3% (311) identified as another race ("other"). Prescription dosages were converted to total morphine milligram equivalents for analysis. Statistical differences in receipt of a postoperative opioid prescription were assessed with multivariate logistic regression models within procedure, adjusted for age, gender, and type of healthcare insurance. Kruskal-Wallis tests were used to assess for differences in the total morphine milligram equivalent dosage of the prescription, stratified by procedure. RESULTS: Almost all patients (95% [11,770 of 12,366]) received an opioid prescription. After risk adjustment, we found no differences in the odds of Black (odds ratio 0.94 [95% confidence interval 0.78 to 1.15]; p = 0.68), Hispanic or Latino (OR 0.75 [95% CI 0.47 to 1.20]; p = 0.18), Asian or PI (OR 1.00 [95% CI 0.58 to 1.74]; p = 0.96), or other-race patients (OR 1.33 [95% CI 0.72 to 2.47]; p = 0.26) receiving a postoperative opioid prescription compared with non-Hispanic White patients. There were no race or ethnicity differences in the median morphine milligram equivalent dose of postoperative opioid analgesics prescribed (p > 0.1 for all eight procedures) based on procedure. CONCLUSION: In this academic health system, we did not find any differences in opioid prescribing after common orthopaedic procedures by patient race or ethnicity. A potential explanation is the use of surgical pathways in our orthopaedic department. Formal standardized opioid prescribing guidelines may reduce variability in opioid prescribing. LEVEL OF EVIDENCE: Level III, therapeutic study.

A Randomized Trial of Incentivization to Maximize Retention for Real-Time Symptom and Activity Monitoring Using Ecological Momentary Assessment in Pediatric Concussion.

OBJECTIVE: The aims of this study were to determine the incentivization strategy that maximizes patient adherence to report symptoms and activity via ecological momentary assessment (EMA) after pediatric concussion, and assess the feasibility of tracking concussed youth using EMA from the emergency department (ED) setting. METHODS: This study was a randomized controlled trial of participants ages 13 to 18 years with concussion presenting to an urban, academic pediatric ED within 5 days of injury. Participants were randomized to 1 of 4 incentive arms: 2 dynamic (loss-based and streak) and 2 control flat-rate (monetary and electronic device). Participants reported symptoms 3 times per day and cognitive activity once each evening for 3 weeks. Physical activity (step count) and sleep were monitored using a Fitbit (kept by participants in the device flat-rate arm). The primary outcome was proportion of prompts to which participants responded. Secondary outcomes included differential response rates by demographics, and comparison of outcome determination between EMA and subsequent clinical visits. RESULTS: Thirty participants were enrolled, with a median age of 15.5 years and 60% female. Median cumulative proportion of prompts responded to was 68.3% (interquartile range, 47.6%-82.5%) in the dynamic arms versus 54.0% (interquartile range. 20.6%-68.3%) in the flat-rate arms, P = 0.065. There were nonsignificant differences in median response by sex (65.9% for female vs 40.0% for male, P = 0.072), race/ethnicity (61.9% for non-Hispanic White vs 43.7% for non-Hispanic Black participants, P = 0.097), and insurance (61.9% for private insurance vs 47.6% for public insurance, P = 0.305). Recovery at 3 weeks was discernible for all but 2 participants (93.3%) using EMA data, compared with only 9 participants (30.0%) ( P < 0.001) from clinical visits. CONCLUSIONS: Dynamic incentivization showed higher rates of response to tridaily symptom prompts compared with flat-rate incentivization. These data show tracking concussed youth using EMA from the ED is feasible using a dynamic incentivization strategy, with improved ability to discern outcomes compared with prospective monitoring using follow-up clinical visits.

Delivering Urgent Care Using Telemedicine: Insights from Experienced Clinicians at Academic Medical Centers.

BACKGROUND: Care delivered using telemedicine has been steadily growing in the USA but represented a small fraction of overall visits before the COVID-19 pandemic as few clinicians had been providing care using telemedicine. Understanding how experienced clinicians have practiced telemedicine can help guide today's exponential adoption of telemedicine. OBJECTIVE: The objective of this study was to explore barriers and facilitators to providing effective, high-quality urgent care using telemedicine ("tele-urgent care") from the perspective of clinicians experienced in telemedicine. APPROACH: We conducted semi-structured interviews between July 2018 and March 2019 of clinicians who had been providing tele-urgent care services to patients as a part of their routine clinical practice. Themes were identified using content analysis with a constant comparative coding approach. KEY RESULTS: Among the 20 clinicians interviewed, the majority were female (90%) and nurse practitioners (65%). We identified four themes related to barriers and facilitators to providing effective, high-quality tele-urgent care. Workplace factors such as a strong information technology (IT) infrastructure, real-time IT support, an electronic health record, and a collegial work environment, often virtual, were necessary standards. Communication and exam techniques from in-person encounters were adapted to tele-urgent care including active listening skills and teaching patients to conduct specific exam maneuvers virtually. The convenience of tele-urgent care should be preserved to support improvements in access to care. Finally, patients and clinicians occasionally had mismatched expectations about what could or would be provided during a tele-urgent care encounter. Managing the added tension that can occur during a telemedicine encounter was important. CONCLUSION: As telemedicine becomes an integral part of the care continuum, incorporating and accounting for these key insights when we train and support clinicians will be necessary to provide effective, high-quality care to patients in the future.

Patient perspectives on naloxone receipt in the emergency department: a qualitative exploration.

BACKGROUND: Emergency departments (EDs) are important venues for the distribution of naloxone to patients at high risk of opioid overdose, but less is known about patient perceptions on naloxone or best practices for patient education and communication. Our aim was to conduct an in-depth exploration of knowledge and attitudes toward ED naloxone distribution among patients who received a naloxone prescription. METHODS: We conducted semi-structured telephone interviews with 25 adult participants seen and discharged from three urban, academic EDs in Philadelphia, PA, with a naloxone prescription between November 2020 and February 2021. Interviews focused on awareness of naloxone as well as attitudes and experiences receiving naloxone in the ED. We used thematic content analysis to identify key themes reflecting patient attitudes and experiences. RESULTS: Of the 25 participants, 72% had previously witnessed an overdose and 48% had personally experienced a non-fatal overdose. Nineteen participants (76%) self-disclosed a history of substance use or overdose, and one reported receiving an opioid prescription during their ED visit and no history of substance use. In interviews, we identified wide variability in participant levels of knowledge about overdose risk, the role of naloxone in reducing risk, and naloxone access. A subset of participants was highly engaged with community harm reduction resources and well versed in naloxone access and use. A second subset was familiar with naloxone, but largely obtained it through healthcare settings such as the ED, while a final group was largely unfamiliar with naloxone. While most participants expressed positive attitudes about receiving naloxone from the ED, the quality of discussions with ED providers was variable, with some participants not even aware they were receiving a naloxone prescription until discharge. CONCLUSIONS: Naloxone prescribing in the ED was acceptable and valued by most participants, but there are missed opportunities for communication and education. These findings underscore the critical role that EDs play in mitigating risks for patients who are not engaged with other healthcare or community health providers and can inform future work about the effective implementation of harm reduction strategies in ED settings.

State Legislators' Divergent Social Media Response to the Opioid Epidemic from 2014 to 2019: Longitudinal Topic Modeling Analysis.

BACKGROUND: The opioid epidemic is widely recognized as a legislative priority, but there is substantial variation in state adoption of evidence-based policy. State legislators' use of social media to disseminate information and to indicate support for specific initiatives continues to grow and may reflect legislators' openness to opioid-related policy change. OBJECTIVE: We sought to identify changes in the national dialogue regarding the opioid epidemic among Democratic and Republican state legislators and to estimate changing partisanship around understanding and addressing the epidemic over time. DESIGN: Longitudinal natural language processing analysis. PARTICIPANTS: A total of 4083 US state legislators in office between 2014 and 2019 with any opioid-related social media posts. MAIN MEASURES: Association between opioid-related post volume and state overdose mortality, as measured by Kendall's rank correlation coefficient. Latent Dirichlet allocation analysis of all social media posts to identify key opioid-related topics. Longitudinal analysis of differences in the prevalence of key topics among Democrats and Republicans over time. KEY RESULTS: In total, 43,558 social media posts met inclusion criteria, with the vast majority to Twitter (n=28,564; 65.6%) or Facebook (n=14,283; 32.8%). Posts were more likely to mention fentanyl and less likely to mention heroin over time. The volume of opioid-related content was positively associated with state-level unintentional overdose mortality among both Democrats (tau=0.42, P<.001) and Republicans (tau=0.39, P<.001). Democrats' social media content has increasingly spoken to holding pharmaceutical companies accountable, while Republicans' social media content has increasingly spoken to curbing illicit drug trade. Overall, partisanship across topics increased from 2016 to 2019. CONCLUSION: The volume of opioid-related social media posts by US state legislators between 2014 and 2019 is associated with state-level overdose mortality, but the content across parties is significantly different. Democrats' and Republicans' social media posts may reflect growing partisanship regarding how best to address the overdose epidemic.

Communication and role clarity inform TeleICU use: a qualitative analysis of opportunities and barriers in an established program using AACN framework.

BACKGROUND: Understanding the use of tele-intensive care unit (ICU) services is an essential component in evaluating current practice and informing future use as the adoption and application of teleICU services expands. We sought to explore if novel ways to utilize teleICU services can emerge within an established, consulting-style teleICU model considering the program's flexible, provider-driven operation. METHODS: This was a qualitative study of one teleICU/hospital dyad using semi-structured interviews from a convenience sample of ICU (n = 19) and teleICU (n = 13) nurses. Interviews were analyzed using directed content analysis to identify themes that describe their experiences with teleICU using a deductive codebook developed from an expert consensus (American Association of Critical Care Nurses) AACN statement on teleICU nursing. RESULTS: Three themes were identified through the qualitative content analysis: [1] nurses described unique teleICU knowledge, including systems thinking and technological skills, [2] the teleICU partnership supported quality improvement initiatives, and [3] elements of the work environment influenced perceptions of teleICU and its use. When elements of the work environment, such as effective communication and role clarity, were not present, teleICU use was variable. CONCLUSIONS: Flexible, provider-driven approaches for integrating teleICU services into daily practice may help define the future use of the teleICU model's applicability. Future work should focus on the importance of effective communication and role clarity in integrating the emerging teleICU services into teleICU/ICU practice.

Online Reviews of Specialized Drug Treatment Facilities-Identifying Potential Drivers of High and Low Patient Satisfaction.

BACKGROUND: Despite the importance of high-quality and patient-centered substance use disorder treatment, there are no standardized ratings of specialized drug treatment facilities and their services. Online platforms offer insights into potential drivers of high and low patient experience. OBJECTIVE: We sought to analyze publicly available online review content of specialized drug treatment facilities and identify themes within high and low ratings. DESIGN: This was a retrospective analysis of online ratings and reviews of specialized drug treatment facilities in Pennsylvania listed within the 2016 National Directory of Drug and Alcohol Abuse Treatment Facilities. Latent Dirichlet Allocation, a machine learning approach to narrative text, was used to identify themes within reviews. Differential Language Analysis was then used to measure correlations between themes and star ratings. SETTING: Online reviews of Pennsylvania's specialized drug treatment facilities posted to Google and Yelp (July 2010-August 2018). RESULTS: A total of 7823 online ratings were posted over 8 years. The distribution was bimodal (43% 5-star and 34% 1-star). The average weighted rating of a facility was 3.3 stars. Online themes correlated with 5-star ratings were the following: focus on recovery (r = 0.53), helpfulness of staff (r = 0.43), compassionate care (r = 0.37), experienced a life-changing moment (r = 0.32), and staff professionalism (r = 0.29). Themes correlated with a 1-star rating were waiting time (r = 0.41), poor accommodations (0.26), poor phone communication (r = 0.24), medications given (0.24), and appointment availability (r = 0.23). Themes derived from review content were similar to 9 of the 14 facility-level services highlighted by the Substance Abuse and Mental Health Services Administration's National Survey of Substance Abuse Treatment Services. CONCLUSIONS: Individuals are sharing their ratings and reviews of specialized drug treatment facilities on online platforms. Organically derived reviews of the patient experience, captured by online platforms, reveal potential drivers of high and low ratings. These represent additional areas of focus which can inform patient-centered quality metrics for specialized drug treatment facilities.

Capturing Real-Time Emergency Department Sentiment: A Feasibility Study Using Touch-Button Terminals.

STUDY OBJECTIVE: Providing care in emergency departments (EDs) affects patients and providers. Providers experience high rates of work-related stress. Little is known about the feasibility of measuring real-time sentiment within busy clinical environments. We test the feasibility of measuring sentiment with touch-button terminals in an academic, urban ED. METHODS: Terminals offered a choice of 4 sentiment buttons (very positive, positive, negative, and very negative). They were placed central to physician workstations, nursing workstations, and the patient exit. Pearson correlation coefficients (r) were calculated to estimate correlation between sentiment and volume metrics (arrivals, length of stay, waiting patients, and number of boarding patients) over time. RESULTS: A total of 13,849 sentiments were recorded (June 2018 to October 2018); 9,472 came from providers (52.6% nursing) and 4,377 from patients. The majority of provider sentiments were negative (58.7%). Negative provider sentiment was associated with increasing number of patients waiting to be seen (r=0.45) and boarding (r=0.68). Positive provider sentiment was associated with increasing numbers of patients who left without being seen (r=0.48). Increased boarding was associated with more recorded sentiments (r=0.73). Negative patient sentiment was associated with increasing number waiting (r=0.55), boarding (r=0.67), and leaving without being seen (r=0.46). CONCLUSION: This study demonstrates the feasibility of a novel approach to measuring "on-shift" sentiment in real time and provides a sample comparison to traditional volume metrics.

Online Ratings of the Patient Experience: Emergency Departments Versus Urgent Care Centers.

STUDY OBJECTIVE: Individuals increasingly use online rating platforms to rate and review hospitals. We seek to describe and compare publicly available online review content and ratings of emergency departments (EDs) and urgent care centers. METHODS: We analyzed Yelp reviews of EDs and urgent care centers to identify topics most correlated with 1- and 5-star ratings. Latent Dirichlet Allocation, a method of identifying groups of co-occurring words in narrative text, was used to identify and label 25 topics across 1- and 5-star reviews of urgent care centers and EDs. Differential Language Analysis was then used to measure the correlation of these topics with 1- and 5-star reviews for urgent care centers and EDs. RESULTS: We analyzed 100,949 Yelp reviews, 16,447 from 1,566 EDs and 84,502 from 5,601 urgent care centers. There were significantly more 5-star urgent care center reviews (n=43,487; 51%) than 5-star ED reviews (n=4,437; 27%). Themes associated with 5-star reviews among EDs and urgent care centers were similar for comfort, professionalism, facilities, pediatric care, and staff interactions. Themes associated with 1-star reviews among EDs and urgent care centers were similar for communication, telephone experience, waiting, billing, pain management, and diagnostic testing. Themes unique to 5-star ED reviews included bedside manner, care for family members, and access. Themes unique to 5-star urgent care center reviews were based on recommendation and prescription refills. Themes unique to 1-star ED reviews were service and speed of care. Themes unique to 1-star urgent care center reviews were lack of confidence and reception experience. CONCLUSION: Understanding drivers for high and low online ratings and what patients value in their ED and urgent care center experiences offers insights for health systems and providers to improve acute care delivery. Patients' perspectives may become increasingly important as they seek care in the expanding urgent care markets.

The impact of ED crowding on early interventions and mortality in patients with severe sepsis.

OBJECTIVE: Critically ill patients require significant time and care coordination in the emergency department (ED). We hypothesized that ED crowding would delay time to intravenous fluids and antibiotics, decrease utilization of protocolized care, and increase mortality for patients with severe sepsis or septic shock. METHODS: This was a retrospective cohort study of severe sepsis patients admitted to the hospital from the ED between January 2005 and February 2010. Associations between four validated measures of ED crowding (occupancy, waiting patients, admitted patients, and patient-hours) assigned at triage, and time of day, time to antibiotics and fluids, and mortality were tested by analyzing trends across crowding quartiles. RESULTS: During the study period, 2913 severe sepsis patients were admitted to the hospital and 1127 (38.7%) qualified for protocolized care. In-hospital mortality was 14.3% overall and 26% for patients qualifying for protocolized care. Time to IV fluids was delayed as ED occupancy rate increased and as patient hours increased. Time to antibiotics increased as occupancy rates, patient hours, and the number of boarding inpatients increased. Implementation rates of protocolized care decreased from 71.3% to 50.5% (p<0.0001, OR 0.39) as the number of ED inpatient boarders increased; initiation of protocolized care was significantly higher as occupancy increased (OR 1.52). Mortality was unaffected by crowding parameters in all analyses. CONCLUSIONS: With increased ED crowding, time to critical severe sepsis therapies significantly increased and protocolized care initiation decreased. As crowding increases, EDs must implement systems that optimize delivery of time-sensitive therapies to critically ill patients.

Effect of time of day on prehospital care and outcomes after out-of-hospital cardiac arrest.

BACKGROUND: More than 300 000 out-of-hospital cardiac arrests (OHCA) occur each year in the United States. The relationship between time of day and OHCA outcomes in the prehospital setting is unknown. Any such association may have important implications for emergency medical services resource allocation. METHODS AND RESULTS: We performed a retrospective review of cardiac arrest data from a large, urban emergency medical services system. Included were OHCA occurring in adults from January 2008 to February 2012. Excluded were traumatic arrests and cases in which resuscitation measures were not performed. Day was defined as 8 am to 7:59 pm; night, as 8 pm to 7:59 am. A relative risk regression model was used to evaluate the association between time of day and prehospital return of spontaneous circulation and 30-day survival, with adjustment for clinically relevant predictors of survival. Among the 4789 included cases, 1962 (41.0%) occurred at night. Mean age was 63.8 years (SD, 17.4 years); 54.5% were male. Patients with an OHCA occurring at night did not have significantly lower rates of prehospital return of spontaneous circulation compared with patients having daytime arrests (11.6% versus 12.8%; P=0.20). However, rates of 30-day survival were significantly lower at night (8.56% versus 10.9%; P=0.02). After adjustment for demographics, presenting rhythm, field termination, duration of call, dispatch-to-scene interval, automated external defibrillator application, bystander cardiopulmonary resuscitation, and location, 30-day survival remained significantly higher after daytime OHCA, with a relative risk of 1.10 (95% confidence interval, 1.02-1.18). CONCLUSION: Rates of 30-day survival were significantly higher for OHCA occurring during the day compared with at night, even after adjustment for patient, event, and prehospital care differences.