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.

Provider-to-provider telehealth for sepsis patients in a cohort of rural emergency departments.

BACKGROUND: Telehealth has been proposed as one strategy to improve the quality of time-sensitive sepsis care in rural emergency departments (EDs). The purpose of this study was to measure the association between telehealth-supplemented ED (tele-ED) care, health care costs, and clinical outcomes among patients with sepsis in rural EDs. METHODS: Cohort study using Medicare fee-for-service claims data for beneficiaries treated for sepsis in rural EDs between February 1, 2017, and September 30, 2019. Our primary hospital-level analysis used multivariable generalized estimating equations to measure the association between treatment in a tele-ED-capable hospital and 30-day total costs of care. In our supporting secondary analysis, we conducted a propensity-matched analysis of patients who used tele-ED with matched controls from non-tele-ED-capable hospitals. Our primary outcome was total health care payments among index hospitalized patients between the index ED visit and 30 days after hospital discharge, and our secondary outcomes included hospital mortality, hospital length of stay, 90-day mortality, 28-day hospital-free days, and 30-day inpatient readmissions. RESULTS: In our primary analysis, sepsis patients in tele-ED-capable hospitals had 6.7% higher (95% confidence interval [CI] 2.1%-11.5%) total health care costs compared to those in non-tele-ED-capable hospitals. In our propensity-matched patient-level analysis, total health care costs were 23% higher (95% CI 16.5%-30.4%) in tele-ED cases than matched non-tele-ED controls. Clinical outcomes were similar. CONCLUSIONS: Tele-ED capability in a mature rural tele-ED network was not associated with decreased health care costs or improved clinical outcomes. Future work is needed to reduce rural-urban sepsis care disparities and formalize systems of regionalized care.

Insurance-Based Disparities in Stroke Center Access in California: A Network Science Approach.

BACKGROUND: Our objectives were to determine whether there is an association between ischemic stroke patient insurance and likelihood of transfer overall and to a stroke center and whether hospital cluster modified the association between insurance and likelihood of stroke center transfer. METHODS: This retrospective network analysis of California data included every nonfederal hospital ischemic stroke admission from 2010 to 2017. Transfers from an emergency department to another hospital were categorized based on whether the patient was discharged from a stroke center (primary or comprehensive). We used logistic regression models to examine the relationship between insurance (private, Medicare, Medicaid, uninsured) and odds of (1) any transfer among patients initially presenting to nonstroke center hospital emergency departments and (2) transfer to a stroke center among transferred patients. We used a network clustering method to identify clusters of hospitals closely connected through transfers. Within each cluster, we quantified the difference between insurance groups with the highest and lowest proportion of transfers discharged from a stroke center. RESULTS: Of 332 995 total ischemic stroke encounters, 51% were female, 70% were ≥65 years, and 3.5% were transferred from the initial emergency department. Of 52 316 presenting to a nonstroke center, 3466 (7.1%) were transferred. Relative to privately insured patients, there were lower odds of transfer and of transfer to a stroke center among all groups (Medicare odds ratio, 0.24 [95% CI, 0.22-0.26] and 0.59 [95% CI, 0.50-0.71], Medicaid odds ratio, 0.26 [95% CI, 0.23-0.29] and odds ratio, 0.49 [95% CI, 0.38-0.62], uninsured odds ratio, 0.75 [95% CI, 0.63-0.89], and 0.72 [95% CI, 0.6-0.8], respectively). Among the 14 identified hospital clusters, insurance-based disparities in transfer varied and the lowest performing cluster (also the largest; n=2364 transfers) fully explained the insurance-based disparity in odds of stroke center transfer. CONCLUSIONS: Uninsured patients had less stroke center access through transfer than patients with insurance. This difference was largely explained by patterns in 1 particular hospital cluster.

Changing Health Care Markets Have the Potential to Undermine Stroke Systems of Care.

This Viewpoint discusses the importance of prioritizing quality of care for patients with stroke in a changing health care environment.

Can tablet video-based telehealth assessment of the abdomen safely determine the need for abdominal imaging? A pilot study.

Objective: There is limited evidence on the reliability of video-based physical examinations. We aimed to evaluate the safety of a remote physician-directed abdominal examination using tablet-based video. Methods: This was a prospective observational pilot study of patients >19 years old presenting with abdominal pain to an academic emergency department July 9, 2021-December 21, 2021. In addition to usual care, patients had a tablet video-based telehealth history and examination by an emergency physician who was otherwise not involved in the visit. Both telehealth and in-person clinicians were asked about the patient's need for abdominal imaging (yes/no). Thirty-day chart review searched for subsequent ED visits, hospitalizations, and procedures. Our primary outcome was agreement between telehealth and in-person clinicians on imaging need. Our secondary outcome was potentially missed imaging by the telehealth physicians leading to morbidity or mortality. We used descriptive and bivariate analyses to examine characteristics associated with disagreement on imaging needs. Results: Fifty-six patients were enrolled; the median age was 43 years (interquartile range: 27-59), 31 (55%) were female. The telehealth and in-person clinicians agreed on the need for imaging in 42 (75%) of the patients (95% confidence interval [CI]: 62%-86%), with moderate agreement with Cohen's kappa ((k = 0.41, 95% CI: 0.15-0.67). For study patients who had a procedure within 24 hours of ED arrival (n = 3, 5.4%, 95% CI: 1.1%-14.9%) or within 30 days (n = 7, 12.5%, 95% CI: 5.2%-24.1%), neither telehealth physicians nor in-person clinicians missed timely imaging. Conclusion: In this pilot study, telehealth physicians and in-person clinicians agreed on the need for imaging for the majority of patients with abdominal pain. Importantly, telehealth physicians did not miss the identification of imaging needs for patients requiring urgent or emergent surgery.

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.

Trends in characteristics of neurologists who provide stroke consultations in the USA, 2008-2021.

INTRODUCTION: Patients with acute ischaemic strokes (AIS), on average, fare better with timely neurologist consultation, and a growing proportion of them receive one. However, little is known about trends in the characteristics of neurologists who treat AIS. METHODS: We identified AIS and transient ischaemic attack (TIA) episodes with neurologist consults in fee-for-service Medicare from January 2008 to September 2021. For each episode, we determined whether the neurologist was a vascular neurologist, was a high-volume provider, whether the patient was transferred between hospitals and the distance between the patient's home and physician's practice. RESULTS: From 2008 to 2021, the share of AIS/TIA episodes (n=5 073 294) with neurologist consults increased (52.9% to 61.7%). Among episodes with consults, the fraction conducted by a vascular neurologist (5.2% to 13.7%) or by a high-volume neurologist (13.2% to 14.9%) also increased. The fraction with the patient's home and neurologist greater than 100 miles apart (4.8% to 9.6%) or in different states (5.1% to 8.1%) increased, as did the fraction with transfers (4.2% to 8.5%). DISCUSSION: Over the study period, the proportion of AIS/TIA episodes with consultations from neurologists with either vascular neurology certifications or high volumes increased substantially.

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.

Financial impact of telehealth: rural chief financial officer perspectives.

OBJECTIVES: To explore the perceived impacts of a variety of telehealth services on hospital finances and assess how hospital administrators make decisions about adopting telehealth programs. STUDY DESIGN: From October 2021 to January 2022, we conducted semistructured interviews with chief financial officers (CFOs) of rural hospitals. METHODS: Recruitment occurred in collaboration with 6 rural health collaboratives and hospital associations that facilitated CFO peer-learning groups. We used inductive and deductive approaches informed by a health care innovation adoption model to identify themes in the qualitative data. RESULTS: Twenty rural hospital CFOs and other hospital administrators from 10 states participated in interviews. Seventeen (85%) represented critical access hospitals and 3 (15%) represented short-term acute care hospitals. Although CFOs believed telehealth has some financial advantages (eg, can help to avoid patient transfers), they did not believe that telehealth improved their hospitals' financial situations. CFOs, rather, seem motivated to implement telehealth services to improve quality of care and address patients' needs. CFOs reported that limited reimbursement, low volumes, preference for in-person care, and insufficient broadband were key challenges to telehealth's financial viability. CONCLUSIONS: Understanding how CFOs think about the return on investment of telehealth can inform efforts to promote telehealth utilization in rural communities and to develop policy solutions to make telehealth more sustainable. CFOs may benefit from guidance on promising practices and cost-effective implementation strategies. Policy makers could take steps to improve telehealth's financial attractiveness (eg, through payment parity, subsidies to improve technology infrastructure).

An economic and health outcome evaluation of telehealth in rural sepsis care: a comparative effectiveness study.

Aim: Sepsis is a top contributor to in-hospital mortality and, healthcare expenditures and telehealth have been shown to improve short-term sepsis care in rural hospitals. This study will evaluate the effect of provider-to-provider video telehealth in rural emergency departments (EDs) on healthcare costs and long-term outcomes for sepsis patients. Materials & methods: We will use Medicare administrative claims to compare total healthcare expenditures, mortality, length-of-stay, readmissions, and category-specific costs between telehealth-subscribing and control hospitals. Results: The results of this work will demonstrate the extent to which telehealth use is associated with total healthcare expenditures for sepsis care. Conclusion: These findings will be important to inform future policy initiatives to improve sepsis care in rural EDs. Clinical Trial Registration: NCT05072145 (ClinicalTrials.gov).

Sepsis is a severe condition that results from infection. In addition to costly care, sepsis is a leading cause of death and disability. When comparing outcomes, those treated for sepsis in lower volume emergency departments fare worse and rural emergency departments often have lower patient volumes. While telehealth has been shown to improve sepsis care, the effect of telehealth on costs and long-term outcomes for patients is unclear. This study will use Medicare claims data to compare outcomes for people with sepsis in rural emergency departments who had video telehealth used with those who did not have video telehealth used, with the goal of measuring how telehealth affects healthcare costs, hospital readmissions and deaths after hospital discharge.

The relationship between stroke system organization and disparities in access to stroke center care in California.

Background: There are significant racial and ethnic disparities in receipt of reperfusion interventions for acute ischemic stroke. Our objective was to determine whether there are disparities in access to stroke center care by race or ethnicity that help explain differences in reperfusion therapy and to understand whether interhospital patient transfer plays a role in improving access. Methods: Using statewide administrating data including all emergency department and hospital discharges in California from 2010 to 2017, we identified all acute ischemic stroke patients. Primary outcomes of interest included presentation to primary or comprehensive stroke center (PSC or CSC), interhospital transfer, discharge from PSC or CSC, and discharge from CSC alone. We used hierarchical logistic regression modeling to identify the relationship between patient- and hospital-level characteristics and outcomes of interest. Results: Of 336,247 ischemic stroke patients, 55.4% were non-Hispanic White, 19.6% Hispanic, 10.6% non-Hispanic Asian/Pacific Islander, and 10.3% non-Hispanic Black. There was no difference in initial presentation to stroke center hospitals between groups. However, adjusted odds of reperfusion intervention, interhospital transfer and discharge from CSC did vary by race and ethnicity. Adjusted odds of interhospital transfer were lower among Hispanic (odds ratio [OR] 0.94, 95% confidence interval [CI] 0.89 to 0.98) and non-Hispanic Asian/Pacific Islander patients (OR 0.84, 95% CI 0.79 to 0.90) and odds of discharge from a CSC were lower for Hispanic (OR 0.91, 95% CI 0.85 to 0.97) and non-Hispanic Black patients (OR 0.74, 95% CI 0.67 to 0.81). Conclusions: There are racial and ethnic disparities in reperfusion intervention receipt among stroke patients in California. Stroke system of care design, hospital resources, and transfer patterns may contribute to this disparity.

Association of Emergency Department Payer Mix with ED Receipt of Telehealth Services: An Observational Analysis.

INTRODUCTION: Telehealth is commonly used to connect emergency department (ED) patients with specialists or resources required for their care. Its infrastructure requires substantial upfront and ongoing investment from an ED or hospital and may be more difficult to implement in lower-resourced settings. Our aim was to examine for an association between ED payer mix and receipt of telehealth services. METHODS: Using data from the National Emergency Department Inventory (NEDI)-USA 2016 survey, we categorized EDs based on receipt of telehealth services (yes/no). The NEDI-USA data for EDs in New York state was linked with data from state ED datasets (SEDD) and state inpatient data (SID) to determine EDs' payer mix (percent self-pay or Medicaid). Other ED characteristics of interest were rural location, academic status, and annual ED visit volume. We compared EDs with and without telehealth receipt, and used a logistic regression model to examine the relationship between ED payer mix and telehealth receipt after accounting for other ED characteristics. RESULTS: Of the 162 New York EDs in the SEDD-SID dataset, 160 (99%) were linked to the NEDI-USA dataset and 133 of those responded (83%) to the survey. Telehealth receipt was reported by 48 EDs (36%, 95% confidence interval [CI], 28-44%). Emergency departments with and without telehealth receipt were similar (all P >0.40) with respect to rurality (6% vs 9%, respectively), academic status (13% vs 8%), and annual volume (median 36,728 vs 43,000). By contrast, median percent of Medicaid or self-pay patients was lower in telehealth EDs (36%) vs non-telehealth EDs (45%, P = 0.02). In adjusted analysis, increasing proportion of Medicaid and self-pay patients was associated with decreased odds of telehealth receipt (odds ratio 0.87 per 5% increase; 95% CI, 0.77-0.99). Rural location, academic status, and ED volume were not significantly associated with odds of ED telehealth receipt in the adjusted model. CONCLUSION: Among EDs in the state of New York, increasing proportion of self-pay and Medicaid patients was associated with decreased odds of ED telehealth receipt, even after accounting for rural location, academic status, and ED volume. The findings support the need for additional infrastructural investment in EDs serving a greater proportion of disadvantaged patients to ensure equitable access.

Legislation Increased Medicare Telestroke Billing, But Underbilling And Erroneous Billing Remain Common.

In the Furthering Access to Stroke Telemedicine (FAST) Act, passed as part of a budget omnibus in 2018, Congress permanently expanded Medicare payment for telemedicine consultations for acute stroke ("telestroke") from delivery only in rural areas to delivery in both urban and rural areas, effective January 1, 2019. Using a controlled time-series analysis, we found that one year after FAST Act implementation, billing for Medicare telestroke increased substantially in emergency departments at both directly affected urban hospitals and indirectly affected rural hospitals. However, at that time only a minority of hospitals with known telestroke capacity had ever billed Medicare for that service, and there was substantial billing inconsistent with Medicare requirements. As Congress considers options for Medicare telemedicine payment after the COVID-19 pandemic, our findings, which are consistent with confusion among providers regarding telemedicine billing requirements, suggest that simplified payment rules would help ensure that expanded reimbursement achieves its intended impact.

Barriers and facilitators to pediatric telehealth use in English- and Spanish-speaking families: A qualitative study.

BACKGROUND: With the rapid increase in telehealth use during the COVID-19 pandemic, concerns have been raised about the potential for exacerbating existing healthcare disparities in marginalized populations. While eliminating barriers such as transportation and time constraints, telehealth may introduce barriers related to technology access. With little known about the patient experience accessing telehealth during the COVID-19 pandemic, this study seeks to understand the barriers and facilitators to telehealth use as well as interventions that may address them. METHODS: We conducted qualitative interviews with parents of pediatric patients of a primary care clinic in a diverse community during the study period of March-May 2021. The interviews explored barriers and facilitators to telehealth during the COVID-19 pandemic. Interviews were balanced across language (Spanish and English) as well as across visit type (in-person vs. telehealth). Recruitment, collection of demographic information, and interviews were conducted by telephone. The conversations were recorded and transcribed. Once thematic saturation was achieved, the data were analyzed using a modified grounded theory approach. RESULTS: Of the 33 participants, 17 (52%) spoke English and 16 (48%) spoke Spanish. A total of 17 (52%) had experienced a telehealth encounter as their first visit during the study period while 16 (48%) had an in-person visit. Five themes were identified: (1) a recognition of differences in technological knowledge and access, (2) situational preferences for telehealth versus in-person visits, (3) avoidance of COVID-19 exposure, (4) convenience, and (5) change over time. English-speaking patients expressed greater ease with and a preference for telehealth, while Spanish-speaking participants expressed more technological difficulty with telehealth and a preference for in-person visits. Suggested interventions included informational tutorials such as videos before the visit, technical support, and providing families with technological devices. CONCLUSION: In this study, we examined patient and family perspectives on pediatric telehealth during the COVID-19 pandemic. Implementation of the suggested interventions to address barriers to telehealth use is essential to prevent further exacerbation of health disparities already experienced by marginalized populations.

Association Between Telepsychiatry Capability and Treatment of Patients With Mental Illness in the Emergency Department.

OBJECTIVE: Because of limited access to psychiatrists, patients with acute mental illness in some emergency departments (EDs) may wait days for a consultation in the ED or as a medical-surgical admission. The study assessed whether telepsychiatry improves access to care and decreases ED wait times and hospital admissions. METHODS: ED visits with a primary diagnosis of mental illness were identified from 2010-2018 Medicare claims. A total of 134 EDs across 22 states that implemented telepsychiatry between 2013 and 2016 were matched 1:1 with control EDs without telepsychiatry on several characteristics, including availability of in-person psychiatrist consultations. Outcomes included patients' likelihood of admission to a medical-surgical or psychiatric bed, mental illness spending, prolonged ED length of stay (LOS) (two or more midnights in the ED), 90-day mortality, and outpatient follow-up care. Using a difference-in-difference design, changes in outcomes between the 3 years before telepsychiatry adoption and the 2 years after were examined. RESULTS: There were 172,708 ED mental illness visits across the 134 matched ED pairs in the study period. Telepsychiatry adoption was associated with increased admissions to a psychiatric bed (differential increase, 4.3 percentage points; p<0.001), decreased admissions to a medical-surgical bed (differential decrease, 2.0 percentage points; p<0.001), increased likelihood of a prolonged ED LOS (differential increase, 3.0 percentage points; p<0.001), and increased mental illness spending (differential increase, $292; p<0.01). CONCLUSIONS: Telepsychiatry adoption was associated with a lower likelihood of admission to a medical-surgical bed but an increased likelihood of admission to a psychiatric bed and a prolonged ED LOS.

Association of Physician Characteristics With Early Adoption of Virtual Health Care.

Importance: The rapid transition to virtual health care has depended on physician and patient abilities to adopt new technology and workflows. Physicians transitioning more slowly or not at all could result in access challenges for their patients. Objective: To identify physician characteristics associated with the transition to virtual health care in a large regional health care system. Design, Setting, and Participants: This retrospective cross-sectional study uses administrative health system databases to analyze data from all 3473 physicians providing ambulatory care through a large New England health care system, which includes 12 hospitals and their ambulatory practices, from October 1, 2019, through December 31, 2020. Exposures: Physicians characterized based on gender, popularized generational demographic cohort (Silent Generation, born 1928-1945; Baby Boomers, born 1946-1964; Generation X, born 1965-1980; and Millennials, born 1981-1996), specialty (behavioral health, primary care, medical, and surgical), and hospital affiliation as well as selected patient characteristics (number of visits and proportion of patients with self-pay or Medicaid insurance, aged 65 years or older, preference for speaking a language other than English, from a racial or ethnic minority group, and with an active patient portal). Main Outcomes and Measures: Early adoption of virtual health care. Bivariate comparisons were made, and regression modeling was used to examine characteristics associated with the likelihood of early adoption of virtual health care. Results: Of 3473 physicians conducting ambulatory visits during the study period, 1624 (46.8%) were women, 83 (2.4%) were in the Silent Generation, 994 (28.6%) were Baby Boomers, 1637 (47.1%) were in Generation X, and 759 (21.9%) were Millennials. There were 1649 physicians (47.5%) in medical specialties, 749 physicians (21.6%) in surgical specialties, and 248 physicians (7.1%) in behavioral health. After accounting for other characteristics, female (odds ratio [OR], 1.23; 95% CI, 1.06-1.44), behavioral health (OR, 2.92; 95% CI, 2.11-4.04), and primary care (OR, 1.69; 95% CI, 1.36-2.09) physicians had greater odds of being early adopters, and physicians in the Silent Generation (OR, 0.39, 95% CI, 0.24-0.65) and in surgical specialties (OR, 0.46; 95% CI, 0.38-0.57) were less likely to be early adopters. Patient characteristics were less strongly associated with physician adoption. Conclusions and Relevance: In this cross-sectional study, there was physician-level variation in the adoption of virtual health care, with female, primary care, and behavioral health physicians in this system most likely to lead the transformation to virtual health care.

The Association of Demographic, Socioeconomic, and Geographic Factors with Potentially Preventable Emergency Department Utilization.

INTRODUCTION: Prevention quality indicators (PQI) are a set of measures used to characterize healthcare utilization for conditions identified as being potentially preventable with high quality ambulatory care. These indicators have recently been adapted for emergency department (ED) patient presentations. In this study the authors sought to identify opportunities to potentially prevent emergency conditions and to strengthen systems of ambulatory care by analyzing patterns of ED utilization for PQI conditions. METHODS: Using multivariable logistic regression, the authors analyzed the relationship of patient demographics and neighborhood-level socioeconomic indicators with ED utilization for PQI conditions based on ED visits at an urban, academic medical center in 2017. We also used multilevel modeling to assess the contribution of these variables to neighborhood-level variation in the likelihood of an ED visit for a PQI condition. RESULTS: Of the included 98,522 visits, 17.5% were categorized as potentially preventable based on the ED PQI definition. On multivariate analysis, age < 18 years, Black race, and Medicare insurance had the strongest positive associations with PQI visits, with adjusted odds ratios (aOR) of 1.41 (95% confidence interval [CI], 1.29, 1.56), 1.40 (95% CI, 1.22, 1.61), and 1.40 (95% CI, 1.28, 1.54), respectively. All included neighborhood-level socioeconomic variables were significantly associated with PQI visit likelihood on univariable analysis; however; only level of education attainment and private car ownership remained significantly associated in the multivariable model, with aOR of 1.13 (95% CI, 1.10, 1.17) and 0.96 (95% CI, 0.93, 0.99) per quartile increase, respectively. This multilevel model demonstrated significant variation in PQI visit likelihood attributable to neighborhood, with interclass correlation decreasing from 5.92% (95% CI, 5.20, 6.73) in our unadjusted model to 4.12% (95% CI, 3.47, 4.87) in our fully adjusted model and median OR similarly decreasing from 1.54 to 1.43. CONCLUSION: Demographic and local socioeconomic factors were significantly associated with ED utilization for PQI conditions. Future public health efforts can bolster efforts to target underlying social drivers of health and support access to primary care for patients who are Black, Latino, pediatric, or Medicare-dependent to potentially prevent emergency conditions (and the need for emergency care). Further research is needed to explore other factors beyond demographics and socioeconomic characteristics driving spatial variation in ED PQI visit likelihood.