Heterogeneity of State Stroke Center Certification and Designation Processes.

BACKGROUND: Stroke centers are critical for the timely diagnosis and treatment of acute stroke and have been associated with improved treatment and outcomes; however, variability exists in the definitions and processes used to certify and designate these centers. Our study categorizes state stroke center certification and designation processes and provides examples of state processes across the United States, specifically in states with independent designation processes that do not rely on national certification. METHODS: In this cross-sectional study from September 2022 to April 2023, we used peer-reviewed literature, primary source documents from states, and communication with state officials in all 50 states to capture each state's process for stroke center certification and designation. We categorized this information and outlined examples of processes in each category. RESULTS: Our cross-sectional study of state-level stroke center certification and designation processes across states reveals significant heterogeneity in the terminology used to describe state processes and the processes themselves. We identify 3 main categories of state processes: No State Certification or Designation Process (category A; n=12), State Designation Reliant on National Certification Only (category B; n=24), and State Has Option for Self-Certification or Independent Designation (category C; n=14). Furthermore, we describe 3 subcategories of self-certification or independent state designation processes: State Relies on Self-Certification or Independent Designation for Acute Stroke Ready Hospital or Equivalent (category C1; n=3), State Has Hybrid Model for Acute Stroke Ready Hospital or Equivalent (category C2; n=5), and State Has Hybrid Model for Primary Stroke Center and Above (category C3; n=6). CONCLUSIONS: Our study found significant heterogeneity in state-level processes. A better understanding of how these differences may impact the rigor of each process and clinical performance of stroke centers is worthy of further investigation.

Evaluating the Quality of Virtual Urgent Care: Barriers, Motivations, and Implementation of Quality Measures.

BACKGROUND: Experts estimate virtual urgent care programs could replace approximately 20% of current emergency department visits. In the absence of widespread quality guidance to programs or quality reporting from these programs, little is known about the state of virtual urgent care quality monitoring initiatives. OBJECTIVE: We sought to characterize ongoing quality monitoring initiatives among virtual urgent care programs. APPROACH: Semi-structured interviews of virtual health and health system leaders were conducted using a pilot-tested interview guide to assess quality metrics captured related to care effectiveness and equity as well as programs' motivations for and barriers to quality measurement. We classified quality metrics according to the National Quality Forum Telehealth Measurement Framework. We developed a codebook from interview transcripts for qualitative analysis to classify motivations for and barriers to quality measurement. KEY RESULTS: We contacted 13 individuals, and ultimately interviewed eight (response rate, 61.5%), representing eight unique virtual urgent care programs at primarily academic (6/8) and urban institutions (5/8). Most programs used quality metrics related to clinical and operational effectiveness (7/8). Only one program reported measuring a metric related to equity. Limited resources were most commonly cited by participants (6/8) as a barrier to quality monitoring. CONCLUSIONS: We identified variation in quality measurement use and content by virtual urgent care programs. With the rapid growth in this approach to care delivery, more work is needed to identify optimal quality metrics. A standardized approach to quality measurement will be key to identifying variation in care and help focus quality improvement by virtual urgent care programs.

Pediatric Patients Discharged After Transfer to a Pediatric Emergency Department: Opportunities for Telehealth?

STUDY OBJECTIVE: Interemergency department pediatric transfers can be costly, involve risk, and may be disruptive to patients and families. Telehealth could be a way to safely reduce the number of transfers. We made an estimate of the proportion of transfers of pediatric patients to our emergency department (ED) that may have been avoidable using telehealth. METHODS: This was a retrospective analysis of electronic health record data of all pediatric patients (younger than 19 years) who were transferred to a single urban, academic medical center pediatric emergency department (PED) (annual pediatric volume approximately 15,000) between June 1, 2016, and December 29, 2021. We defined transfers as potentially avoidable with telehealth (the primary outcome) when the encounter at the receiving ED resulted in ED discharge and 1) met our definition of low-resource intensity (had no laboratory tests, diagnostic imaging, procedures, or consultations) or 2) could have used initial ED resources with telehealth guidance. RESULTS: Among 4,446 PED patients received in transfer during the study period, 406 (9%) were low-resource intensity. Of the non-low-resource intensity encounters, as many as another 1,103 (24.8%) potentially could have been avoided depending on available telehealth and initial ED resources, ranging from 210 (4.7%) with only telehealth specialty consultation to 538 (7.4%) with imaging and telehealth specialty consultation, and up to 1,034 (23.3%) with laboratory, imaging, and telehealth specialty consultation. CONCLUSION: Our results suggest that depending on available telehealth and initial ED resources, between 9% and 33% of pediatric inter-ED transfers may have been avoidable. This information may guide health system design and PED operations when considering implementing pediatric telehealth.

The Value of an Emergency Medicine Virtual Observation Unit.

STUDY OBJECTIVE: We implemented a virtual observation unit in which emergency department (ED) patients receive observation-level care at home. Our primary aim was to compare this new care model to in-person observation care in terms of brick-and-mortar ED length of stay (inclusive of ED observation unit time) as well as secondarily on inpatient admission and 72-hour return visits (overall and with admission). METHODS: In a retrospective analysis of electronic health record data on ED observation patients from January 1, 2022 to December 29, 2022 from an academic urban ED, we used propensity matching to compare virtual to in-person observation patients on outcomes of interest. Patients were matched 1:1 based on age, sex, Charlson Comorbidity Index, and reason for observation. We also conducted real-time review of all virtual observation cases for potential safety concerns. RESULTS: Of 8,218 observation stays, 361 virtual observation patients were matched with 361 in-person observation patients. Virtual observation patients experienced lower median brick-and-mortar ED + EDOU LOS [14.6 (IQR 10.2, 18.9) versus 33.3 (IQR 28.1, 38.1) hours] and lower inpatient admission rates (10.2% [SD 5.0] versus 24.7% [SD 11.3]). The 72-hour return rate was higher for virtual observation patients (3.6% [SD 3.0] versus 2.5% [SD 3.0]). Among those with return visits, the rate of inpatient admission was higher among virtual observation patients (53.8% [SD 3.2] versus 11.1% [13.0]). There were no significant patient safety events recorded. CONCLUSION: Virtual observation unit patients used fewer hours in ED and ED observation relative to on-site observation patients. This new care delivery model warrants further study because it has the potential to positively impact ED capacity.

Emergency Department and Health Care System Factors Associated with Telehealth Innovation During the COVID-19 Pandemic.

Objective: Telehealth capacity may be an important component of pandemic response infrastructure. We aimed to examine changes in the telehealth use by the US emergency departments (EDs) during COVID-19, and to determine whether existing telehealth infrastructure or increased system integration were associated with increased likelihood of use. Methods: We analyzed 2016-2020 National ED Inventory (NEDI)-USA data, including ED characteristics and nature of telehealth use for all US EDs. American Hospital Association data characterized EDs' system integration. An ordinary least-squares regression model obtained one-step-ahead forecast of the expected proportion of EDs using telehealth in 2020 based on growth observed from 2016 to 2019. Among EDs without telehealth in 2019, we used logistic regression models to examine whether system membership or existing telehealth infrastructure were associated with odds of innovation in telehealth use in 2020, accounting for ED characteristics. Results: Of 4,038 EDs responding to telehealth questions in 2019 and 2020 (73% response rate), 3,015 used telehealth in 2020. Telehealth use by US EDs increased more than expected in 2020 (2016: 58%, 2017: 61%, 2018: 65%, 2019: 67%, 2020: 74%, greater than predicted 71%, p = 0.004). Existing telehealth infrastructure was associated with increased telehealth innovation (OR = 1.88, 95% CI: 1.49-2.36), whereas hospital system membership was not (odds ratio [OR] = 1.00, 95% confidence interval [CI]: 0.80-1.25). Conclusions: Telehealth use by US EDs in 2020 grew more than expected and preexisting telehealth infrastructure was associated with increased innovation in its use. Preparation for future pandemic responses may benefit from considering strategies to invest in local infrastructure to facilitate technology adoption and innovation.

Success with incrementally faster times to endovascular therapy (SWIFT-EVT): A systematic review and meta-analysis.

BACKGROUND: A major systematic review and meta-analysis assessing trial data through 2014 (the Highly Effective Reperfusion Evaluated in Multiple Endovascular Stroke Trials, HERMES) demonstrated that particularly over the initial six hours of acute ischemic stroke (AIS), rapid performance of endovascular therapy (EVT) markedly improves outcomes. The current analysis, Success with Incrementally Faster Times to EVT (SWIFT-EVT), aimed to provide an updated metric summarizing latest estimates for modified Rankin Scale (mRS) improvements accrued by streamlining time to EVT. METHODS: A systematic review and meta-analysis was conducted using electronic databases. Eligible studies reported a time-benefit slope with times from AIS onset (or time last known normal) to EVT commencement; the predictor was onset-to-groin (OTG) time. Primary and secondary outcomes were 90-day functional independence (mRS 0-2) and 90-day excellent function (mRS 0-1), respectively. RESULTS: Five studies were included. Results showed increased change of good outcome with each hour of pre-EVT time savings for mRS 0-2 for 0-270' (OR 1.25, 95 % CI 1.16-1.35, I2 40 %) and 271-360' time frame (1.22, 95 % CI 1.12-1.33, I2 58 %). For the studies assessing mRS 0-1, estimates were found appropriate for both the 0-270' time frame (OR 1.34, 95 % CI 1.19-1.51, I2 27 %) and the 271-360' time frame (OR 1.20, 95 % CI 1.03-1.38, I2 60 %). CONCLUSIONS: Each hour saved from AIS onset to EVT start is associated with a 22-25 % increased odds of achieving functional independence, a useful metric to inform patient-specific and systems planning decisions.

Prehospital Stroke Care Part 1: Emergency Medical Services and the Stroke Systems of Care.

Acute stroke care begins before hospital arrival, and several prehospital factors are critical in influencing overall patient care and poststroke outcomes. This topical review provides an overview of the state of the science on prehospital components of stroke systems of care and how emergency medical services systems may interact in the system to support acute stroke care. Topics include layperson recognition of stroke, prehospital transport strategies, networked stroke care, systems for data integration and real-time feedback, and inequities that exist within and among systems.

Prehospital Stroke Care Part 2: On-Scene Evaluation and Management by Emergency Medical Services Practitioners.

The prehospital phase is a critical component of delivering high-quality acute stroke care. This topical review discusses the current state of prehospital acute stroke screening and transport, as well as new and emerging advances in prehospital diagnosis and treatment of acute stroke. Topics include prehospital stroke screening, stroke severity screening, emerging technologies to aid in the identification and diagnosis of acute stroke in the prehospital setting, prenotification of receiving emergency departments, decision support for destination determination, and the capabilities and opportunities for prehospital stroke treatment in mobile stroke units. Further evidence-based guideline development and implementation of new technologies are critical for ongoing improvements in prehospital stroke care.

Most Promising Approaches to Improve Stroke Outcomes: The Stroke Treatment Academic Industry Roundtable XII Workshop.

The Stroke Treatment Academic Industry Roundtable XII included a workshop to discuss the most promising approaches to improve outcome from acute stroke. The workshop brought together representatives from academia, industry, and government representatives. The discussion examined approaches in 4 epochs: pre-reperfusion, reperfusion, post-reperfusion, and access to acute stroke interventions. The participants identified areas of priority for developing new and existing treatments and approaches to improve stroke outcomes. Although many advances in acute stroke therapy have been achieved, more work is necessary for reperfusion therapies to benefit the most possible patients. Prioritization of promising approaches should help guide the use of resources and investigator efforts.

A Quality Measurement Framework for Emergency Department Care of Psychiatric Emergencies.

As a primary access point for crisis psychiatric care, the emergency department (ED) is uniquely positioned to improve the quality of care and outcomes for patients with psychiatric emergencies. Quality measurement is the first key step in understanding the gaps and variations in emergency psychiatric care to guide quality improvement initiatives. Our objective was to develop a quality measurement framework informed by a comprehensive review and gap analysis of quality measures for ED psychiatric care. We conducted a systematic literature review and convened an expert panel in emergency medicine, psychiatry, and quality improvement to consider if and how existing quality measures evaluate the delivery of emergency psychiatric care in the ED setting. The expert panel reviewed 48 measures, of which 5 were standardized, and 3 had active National Quality Forum endorsement. Drawing from the measure appraisal, we developed a quality measurement framework with specific structural, process, and outcome measures across the ED care continuum. This framework can help shape an emergency medicine roadmap for future clinical quality improvement initiatives, research, and advocacy work designed to improve outcomes for patients presenting with psychiatric emergencies.

Clinical Performance Measures for Emergency Department Care for Adults With Intracranial Hemorrhage.

Though select inpatient-based performance measures exist for the care of patients with nontraumatic intracranial hemorrhage, emergency departments lack measurement instruments designed to support and improve care processes in the hyperacute phase. To address this, we propose a set of measures applying a syndromic (rather than diagnosis-based) approach informed by performance data from a national sample of community EDs participating in the Emergency Quality Network Stroke Initiative. To develop the measure set, we convened a workgroup of experts in acute neurologic emergencies. The group considered the appropriate use case for each proposed measure: internal quality improvement, benchmarking, or accountability, and examined data from Emergency Quality Network Stroke Initiative-participating EDs to consider the validity and feasibility of proposed measures for quality measurement and improvement applications. The initially conceived set included 14 measure concepts, of which 7 were selected for inclusion in the measure set after a review of data and further deliberation. Proposed measures include 2 for quality improvement, benchmarking, and accountability (Last 2 Recorded Systolic Blood Pressure Measurements Under 150 and Platelet Avoidance), 3 for quality improvement and benchmarking (Proportion of Patients on Oral Anticoagulants Receiving Hemostatic Medications, Median ED Length of Stay for admitted patients, and Median Length of Stay for transferred patients), and 2 for quality improvement only (Severity Assessment in the ED and Computed Tomography Angiography Performance). The proposed measure set warrants further development and validation to support broader implementation and advance national health care quality goals. Ultimately, applying these measures may help identify opportunities for improvement and focus quality improvement resources on evidence-based targets.

Emergency Medical Services Prenotification is Associated with Reduced Odds of In-Hospital Mortality in Stroke Patients.

OBJECTIVE: Arrival by emergency medical services (EMS) and prenotification among ischemic stroke patients are well-established to improve the timeliness and quality of stroke care, yet the association of prenotification with in-hospital mortality has not been previously described. Our cross-sectional study aimed to assess the association between EMS prenotification and in-hospital mortality for patients with acute ischemic stroke or transient ischemic attack. METHODS: We analyzed data from the Massachusetts Paul Coverdell National Acute Stroke Program registry. Our study population included adult patients presenting by EMS with transient ischemic attack or acute ischemic stroke from non-health care settings between 2016 and 2020. We excluded patients who were comfort measures only on arrival or day after arrival. We used generalized estimating equations to assess the association between prenotification and in-hospital stroke mortality. RESULTS: In the adjusted model, prenotification was associated with lower odds of in-hospital mortality (odds ratio [OR] 0.87, 95% confidence interval [CI] 0.76-0.98). Other variables associated with in-hospital mortality were longer door-to-imaging interval (OR 1.03, 95% CI 1.03-1.04) and year of presentation (OR 0.91 for each year, 95% CI 0.88-0.93). Odds of in-hospital mortality also varied by insurance, race, and ethnicity. CONCLUSIONS: Prenotification by EMS was associated with reduced in-hospital mortality for patients with ischemic stroke and transient ischemic attack. These findings add to the large body of literature demonstrating the key role of EMS in the stroke systems of care. Our study underscores the importance of standardizing prehospital screening and triage, increasing rates of prenotification via feedback and education, and encouraging active collaborations between prehospital personnel and stroke-capable hospitals to increase in-hospital survival among patients with stroke and transient ischemic attack.

Pediatric Patient Insurance Status and Regionalization of Admissions.

BACKGROUND: Pediatric hospital care is becoming increasingly regionalized, and previous data have suggested that insurance may be associated with transfer. The aims of the study are to describe regionalization of pediatric care and density of the interhospital transfer network and to determine whether these varied by insurance status. METHODS: Using the New York State ED Database and State Inpatient Database from 2016, we identified all pediatric patients and calculated regionalization indices (RI) and network density, overall and stratified by insurance. Regionalization indices are based on the likelihood of a patient completing care at the initial hospital. Network density is the proportion of actual transfers compared with the number of potential hospital transfer connections. Both were calculated using the standard State ED Database/State Inpatient Database transfer definition and in a sensitivity analysis, excluding the disposition code requirement. RESULTS: We identified 1,595,566 pediatric visits (emergency department [ED] or inpatient) in New York in 2016; 7548 (0.5%) were transferred and 7374 transferred visits had eligible insurance status (Medicaid, private, uninsured). Of the transfers, 24% were from ED to ED with discharge, 28% from ED to ED with admission, 31% from ED to inpatient, 16% from inpatient to inpatient, and 1.2% from inpatient to ED. The overall RI was 0.25 (95% confidence interval [95% CI], 0.20-0.31). The overall weighted RI was 0.09 (95% CI, 0.06-0.12) and was 0.09 (95% CI, 0.06-0.13) for Medicaid-insured patients, 0.08 (95% CI, 0.05-0.11) for privately insured patients, and 0.08 (95% CI, 0.05-0.11) for patients without insurance. The overall network density was 0.018 (95% CI, 0.017-0.020). Network density was higher, and transfer rates were lower, for patients with Medicaid insurance as compared with private insurance. CONCLUSIONS: We found significant regionalization of pediatric emergency care. Although there was not material variation by insurance in regionalization, there was variation in network density and transfer rates. Additional work is needed to understand factors affecting transfer decisions and how these patterns might vary by state.

U.S. Emergency Department Telepsychiatry Use in 2019.

Introduction: Although many emergency departments (EDs) receive telehealth services for psychiatry, or telepsychiatry, to manage acute psychiatric emergencies, national research on the usage of ED telepsychiatry is limited. To investigate ED telepsychiatry usage in the pre-COVID-19 era, we surveyed a sample of EDs receiving telepsychiatry in 2019, as a follow-up to a survey targeted to similar EDs in 2017. Methods: All U.S. EDs open in 2019 (n = 5,563) were surveyed to characterize emergency care. A more in-depth second survey on telepsychiatry use (2019 ED Telepsychiatry Survey) was then sent to 235 EDs. Of these EDs, 130 were randomly selected from those that reported telepsychiatry receipt in 2019, and 105 were selected based on their participation in a similar survey in 2017 (2017 ED Telepsychiatry Survey). Results: Of the 235 EDs receiving the 2019 Telepsychiatry Survey, 192 (82%) responded and 172 (90% of responding EDs) confirmed 2019 telepsychiatry receipt. Of these, five were excluded for missing data (analytic samplen = 167). Telepsychiatry was the only form of emergency psychiatric services for 92 (55%) EDs. The most common usage of telepsychiatry was for admission or discharge decisions (82%) and transfer coordination (70%). The most commonly reported telepsychiatry mental health consultants were psychiatrists or other physician-level mental health professionals (74%). Discussion: With telepsychiatry as the only form of psychiatric services for most telepsychiatry-receiving EDs, this innovation fills a critical gap in access to emergency psychiatric care. Further research is needed to investigate the impact of the COVID-19 pandemic on usage of ED telepsychiatry.

Pediatric Telehealth Use in U.S. Emergency Departments in 2019.

Objectives: Little is known about the recent usage of pediatric telehealth across all emergency departments (EDs) in the United States. Building upon our prior work, we aimed to characterize the usage of ED pediatric telehealth in the pre-COVID-19 era. Methods: The 2019 National ED Inventory-USA survey characterized all U.S. EDs open in 2019. Among EDs reporting receipt of pediatric telehealth services, we selected a random sample (n = 130) for a second survey on pediatric telehealth usage (2019 ED Pediatric Telehealth Survey). We also recontacted a random sample of EDs that responded to a prior, similar 2017 ED Pediatric Telehealth Survey (n = 107), for a total of 237 EDs in the 2019 ED Pediatric Telehealth Survey sample. Results: Overall, 193 (81%) of the 237 EDs responded to the 2019 Pediatric Telehealth Survey. There were 149 responding EDs that confirmed pediatric telehealth receipt in 2019. Among these, few reported ever having a pediatric emergency medicine (PEM) physician (10%) or pediatrician (9%) available for emergency care. Although 96% of EDs reported availability of pediatric telehealth services 24 h per day, 7 days per week, the majority (60%) reported using services less than once per month and 20% reported using services every 3-4 weeks. EDs most frequently used pediatric telehealth to assist with placement and transfer coordination (91%). Conclusions: Most EDs receiving pediatric telehealth in 2019 had no PEM physician or pediatrician available. Most EDs used pediatric telehealth services infrequently. Understanding barriers to assimilation of telehealth once adopted may be important to enable improved access to pediatric emergency care expertise.

Variation in patterns of telestroke usage during the COVID-19 pandemic.

OBJECTIVES: Early in the pandemic, there was a substantial increase in telestroke uptake among hospitals. The motivations for using telestroke during the pandemic might have been different than for hospitals that adopted telestroke previously. We compared stroke care at hospitals that adopted telestroke prior to the pandemic to care at hospitals that adopted telestroke during the pandemic. MATERIALS AND METHODS: Stroke episodes and telestroke use were identified in Medicare Fee-for-Service Data. Hospital and episode characteristics were compared between pre-pandemic (Jan. 2019-Mar. 2020) and pandemic (Apr. 2020-Dec. 2020) adopters. RESULTS: Hospital bed counts, critical access statuses, stroke volumes, clinical operating margins, shares of stroke care via telestroke, and vascular neurology consult rates did not differ significantly between pre-pandemic and pandemic-adopting hospitals. Hospitals that never adopted telestroke during the study period were more likely to be small critical access hospitals with low clinical operating margins. CONCLUSIONS: Compared to hospitals that adopted telestroke before the pandemic, hospitals that adopted telestroke during the pandemic were similar in characteristics and how they used telestroke.

Emergency Medical Service Time Intervals for Patients With Suspected Stroke in the United States.

BACKGROUND: Optimal care for patients with stroke relies on timely recognition and rapid transport to appropriate treatment, often by emergency medical services (EMS). Our primary objective was to describe EMS time intervals for patients with suspected stroke in the United States. We also sought to quantify the variation in EMS time intervals by geographic location and urbanicity. METHODS: We conducted a cross-sectional evaluation of EMS 9-1-1 activations (ie, calls for service) included in the 2018 and 2019 National EMS Information System datasets. We included ground or air EMS activations for a 9-1-1 scene response where a patient aged ≥18 years with suspected stroke was treated and transported by EMS. Time intervals for dispatch, response, scene, transport, and total prehospital time (ie, from dispatch to hospital arrival) were calculated, stratified by ground and air transport type. RESULTS: A total of 410 187 activations for suspected stroke were included, of which 98% were a ground transport. The median total prehospital time for ground transports was 35 minutes (interquartile range, 27-45, 90th percentile 58). Median total prehospital time for air transports was substantially longer at 56 minutes (interquartile range, 43-70, 90th percentile 86). Times varied by Census division and urbanicity with the shortest ground total prehospital times in the East North Central division and urban areas and longest times in the East South Central and rural and frontier areas. CONCLUSIONS: Timely EMS response and transport is critical for optimizing care of patients with suspected stroke. Using a large, national dataset of EMS activations, we found variations by geographic location and urbanicity in total prehospital time for ground and air EMS activations for patients with stroke.

Qualitative Evaluation of Quality Measurement Within Emergency Clinician-Staffed Telehealth Programs.

STUDY OBJECTIVE: Emergency clinician-staffed telehealth programs seek to provide equitable, safe, efficient, effective, and patient-centered care. However, early studies show conflicting evidence on whether this aim is accomplished. Furthermore, how programs track the efficacy and safety of their programs remains largely unexplored. We sought to characterize ongoing quality monitoring among emergency clinician-staffed telehealth programs. METHODS: We identified representatives at emergency clinician-staffed telehealth programs through professional networks and published literature. Qualitative interviews were conducted, assessing quality metrics captured as well as motivations for and barriers to quality measurement. We classified quality metric measurement using the National Quality Forum Telehealth Measurement Framework Domains and Subdomains. We developed a codebook from interview transcripts for qualitative analysis to classify motivations for and barriers to quality measurement. RESULTS: We held 8 qualitative interviews with physician representatives at primarily academic (7/8) and urban institutions (5/8). Most widely used quality metrics were related to patient and care team experience (7/8) as well as to access to care (6/8) and effectiveness (6/8). Few programs (2/8) measured finance-related quality metrics. Motivations for quality measurement varied considerably. Common barriers to implementation included technology challenges, data availability, and the lack of quality metric standardization. CONCLUSION: We identified variation in the use and content of quality metrics across emergency clinician-staffed telehealth programs. Most commonly, programs used metrics related to clinical experience; financial metrics were rarely captured. Technology barriers to quality measurement were often cited across programs. Further work is needed to support the standardization and implementation of future quality measurement initiatives.

Emergency Departments' Uptake of Telehealth for Stroke Versus Pediatric Care: Observational Study.

BACKGROUND: Telehealth for emergency stroke care delivery (telestroke) has had widespread adoption, enabling many hospitals to obtain stroke center certification. Telehealth for pediatric emergency care has been less widely adopted. OBJECTIVE: Our primary objective was to determine whether differences in policy or certification requirements contributed to differential uptake of telestroke versus pediatric telehealth. We hypothesized that differences in financial incentives, based on differences in patient volume, prehospital routing policy, and certification requirements, contributed to differential emergency department (ED) adoption of telestroke versus pediatric telehealth. METHODS: We used the 2016 National Emergency Department Inventory-USA to identify EDs that were using telestroke and pediatric telehealth services. We surveyed all EDs using pediatric telehealth services (n=339) and a convenience sample of the 1758 EDs with telestroke services (n=366). The surveys characterized ED staffing, transfer patterns, reasons for adoption, and frequency of use. We used bivariate comparisons to examine differences in reasons for adoption and use between EDs with only telestroke services, only pediatric telehealth services, or both. RESULTS: Of the 442 EDs surveyed, 378 (85.5%) indicated use of telestroke, pediatric telehealth, or both. EDs with both services were smaller in bed size, volume, and ED attending coverage than those with only telestroke services or only pediatric telehealth services. EDs with telestroke services reported more frequent use, overall, than EDs with pediatric telehealth services: 14.1% (45/320) of EDs with telestroke services reported weekly use versus 2.9% (8/272) of EDs with pediatric telehealth services (P<.001). In addition, 37 out of 272 (13.6%) EDs with pediatric telehealth services reported no consults in the past year. Across applications, the most frequently selected reason for adoption was "improving level of clinical care." Policy-related reasons (ie, for compliance with outside certification or standards or for improving ED performance on quality metrics) were rarely indicated as the most important, but these reasons were indicated slightly more often for telestroke adoption (12/320, 3.8%) than for pediatric telehealth adoption (1/272, 0.4%; P=.003). CONCLUSIONS: In 2016, more US EDs had telestroke services than pediatric telehealth services; among EDs with the technology, consults were more frequently made for stroke than for pediatric patients. The most frequently indicated reason for adoption among all EDs was related to clinical care.

Integration of Regional Hospitalizations, Registry and Vital Statistics Data for Development of a Single Statewide Ischemic Stroke Database.

OBJECTIVE: Administrative databases seldom include detailed clinical variables and vital status, limiting the scope of population-based studies. We demonstrate a comprehensive process for integrating 3 databases (all-payor inpatient hospitalizations, clinical acute stroke registry and vital statistics) into a single statewide ischemic stroke database. MATERIALS AND METHODS: The 3 Massachusetts databases spanned 2007-2017. Our integration process was composed of 3 phases: 1) hospitalizations-registry linkage, 2) hospitalizations-vital linkage, and 3) final integration of all 3 databases. Following data uniqueness assessment, rule-based deterministic linkage on indirect identifiers were applied in the first two phases. We validated the linkages by comparing additional patient variables not used in the linkage process in the absence of a gold standard database crosswalk. RESULTS: During the overlapping period from 1/1/2008 to 9/30/2015, there were 47,713 stroke admissions in the hospitalizations database and 43,487 admissions in the registry. We linked 38,493 (80.7%) of cases, 95% of which were validated. There were 391,176 deaths reported in Massachusetts between 1/1/2010 and 3/6/2017 in the vital database. Of the 38,493 encounters in the hospitalizations-registry linked data, 10,660 (27.7%) were linked to deaths, reflecting the cumulative mortality over the 7-year period among all registry-linked ischemic stroke hospitalization records. CONCLUSION: We demonstrate that a high-quality integration of the statewide hospitalizations, clinical registry, and vital statistics databases is achievable leveraging indirect identifiers. This data integration framework takes advantage of rich clinical data in registries and long term outcomes from hospitalizations and vital records and may have value for larger scale outcomes research.