A Conceptual Framework for Optimizing the Equity of Hospital-Based Emergency Care: The Structure of Hospital Transfer Networks.

Policy Points Current pay-for-performance and other payment policies ignore hospital transfers for emergency conditions, which may exacerbate disparities. No conceptual framework currently exists that offers a patient-centered, population-based perspective for the structure of hospital transfer networks. The hospital transfer network equity-quality framework highlights the external and internal factors that determine the structure of hospital transfer networks, including structural inequity and racism. CONTEXT: Emergency care includes two key components: initial stabilization and transfer to a higher level of care. Significant work has focused on ensuring that local facilities can stabilize patients. However, less is understood about transfers for definitive care. To better understand how transfer network structure impacts population health and equity in emergency care, we proposea conceptual framework, the hospital transfer network equity-quality model (NET-EQUITY). NET-EQUITY can help optimize population outcomes, decrease disparities, and enhance planning by supporting a framework for understanding emergency department transfers. METHODS: To develop the NET-EQUITY framework, we synthesized work on health systems and quality of health care (Donabedian, the Institute of Medicine, Ferlie, and Shortell) and the research framework of the National Institute on Minority Health and Health Disparities with legal and empirical research. FINDINGS: The central thesis of our framework is that the structure of hospital transfer networks influences patient outcomes, as defined by the Institute of Medicine, which includes equity. The structure of hospital transfer networks is shaped by internal and external factors. The four main external factors are the regulatory, economic environment, provider, and sociocultural and physical/built environment. These environments all implicate issues of equity that are important to understand to foster an equitable population-based system of emergency care. The framework highlights external and internal factors that determine the structure of hospital transfer networks, including structural racism and inequity. CONCLUSIONS: The NET-EQUITY framework provides a patient-centered, equity-focused framework for understanding the health of populations and how the structure of hospital transfer networks can influence the quality of care that patients receive.

The Cost Shifting Economics of United States Emergency Department Professional Services (2016-2019).

STUDY OBJECTIVE: We estimate the economics of US emergency department (ED) professional services, which is increasingly under strain given the longstanding effect of unreimbursed care, and falling Medicare and commercial payments. METHODS: We used data from the Nationwide Emergency Department Sample (NEDS), Medicare, Medicaid, Health Care Cost Institute, and surveys to estimate national ED clinician revenue and costs from 2016 to 2019. We compare annual revenue and cost for each payor and calculate foregone revenue, the amount clinicians may have collected had uninsured patients had either Medicaid or commercial insurance. RESULTS: In 576.5 million ED visits (2016 to 2019), 12% were uninsured, 24% were Medicare-insured, 32% Medicaid-insured, 28% were commercially insured, and 4% had another insurance source. Annual ED clinician revenue averaged $23.5 billion versus costs of $22.5 billion. In 2019, ED visits covered by commercial insurance generated $14.3 billion in revenues and cost $6.5 billion. Medicare visits generated $5.3 billion and cost $5.7 billion; Medicaid visits generated $3.3 billion and cost $7 billion. Uninsured ED visits generated $0.5 billion and cost $2.9 billion. The average annual foregone revenue for ED clinicians to treat the uninsured was $2.7 billion. CONCLUSION: Large cost-shifting from commercial insurance cross-subsidizes ED professional services for other patients. This includes the Medicaid-insured, Medicare-insured, and uninsured, all of whom incur ED professional service costs that substantially exceed their revenue. Foregone revenue for treating the uninsured relative to what may have been collected if patients had health insurance is substantial.

A Geospatial Evaluation of 9-1-1 Ambulance Transports for Children and Emergency Department Pediatric Readiness.

OBJECTIVE: Whether ambulance transport patterns are optimized to match children to high-readiness emergency departments (EDs) and the resulting effect on survival are unknown. We quantified the number of children transported by 9-1-1 emergency medical services (EMS) to high-readiness EDs, additional children within 30 minutes of a high-readiness ED, and the estimated effect on survival. METHODS: This was a cross-sectional study using data from the National EMS Information System for 5,461 EMS agencies in 28 states from 1/1/2012 through 12/31/2019, matched to the 2013 National Pediatric Readiness Project assessment of ED pediatric readiness. We performed a geospatial analysis of children 0 to 17 years requiring 9-1-1 EMS transport to acute care hospitals, including day-, time-, and traffic-adjusted estimates for driving times to all EDs within 30 minutes of the scene. We categorized receiving hospitals by quartile of ED pediatric readiness using the weighted Pediatric Readiness Score (wPRS, range 0-100) and defined a high-risk subgroup of children as a proxy for admission. We used published estimates for the survival benefit of high readiness EDs to estimate the number of lives saved. RESULTS: There were 808,536 children transported by EMS, of whom 253,541 (31.4%) were high-risk. Among the 2,261 receiving hospitals, the median wPRS was 70 (IQR 57-85, range 26-100) and the median number of receiving hospitals within 30 minutes was 4 per child (IQR 2-11, range 1 to 53). Among all children, 411,685 (50.9%) were taken to EDs in the highest quartile of pediatric readiness, and 180,547 (22.3%) children transported to lower readiness EDs were within 30 minutes of a high readiness ED. Findings were similar among high-risk children. Based on high-risk children, we estimated that 3,050 pediatric lives were saved by transport to high-readiness EDs and an additional 1,719 lives could have been saved by shifting transports to high readiness EDs within 30 minutes. CONCLUSIONS: Approximately half of children transported by EMS were taken to high-readiness EDs and an additional one quarter could have been transported to such an ED, with measurable effect on survival.

Survival After Out-of-Hospital Cardiac Arrest: The Role of Racial Residential Segregation.

Racial and racialized economic residential segregation has been empirically associated with outcomes across multiple health conditions but not yet explored in relation to out-of-hospital cardiac arrest (OHCA). We sought to examine if measures of racial and economic residential segregation are associated with differences in survival to discharge after OHCA for Black and White Medicare beneficiaries. Utilizing age-eligible Medicare fee-for-service claims data from 2013 to 2015, we identified OHCA claims and determined survival to discharge. The primary predictor, residential segregation, was calculated using the index of concentration at the extremes (ICE) for the beneficiary residential ZIP code. Multilevel modified Poisson regression models were used to determine the association of OHCA outcomes and ZIP code level ICE measures. In total, 194,263 OHCA cases were identified among beneficiaries residing in 75% of US ZIP codes. Black beneficiaries exhibited 12.1% survival to discharge, compared with 12.5% of White beneficiaries. In fully adjusted models of the three ICE measures accounting for differences in treating hospital characteristics, there was as high as a 28% (RR 1.28, CI 1.23-1.26) higher relative likelihood of survival to discharge in the most segregated White ZIP codes (Q5) as compared to the most segregated Black ZIP codes (Q1). Racial residential segregation is independently associated with disparities in OHCA outcomes; among Medicare beneficiaries who generated a claim after suffering an OHCA, ICE measures of racial segregation are associated with a lower likelihood of survival to discharge for those living in the most segregated Black and lower income quintiles compared to higher quintiles.

Emergency departments in the United States treating high proportions of patients with ambulatory care sensitive conditions: a retrospective cross-sectional analysis.

BACKGROUND: One in nine emergency department (ED) visits by Medicare beneficiaries are for ambulatory care sensitive conditions (ACSCs). This study aimed to examine the association between ACSC ED visits to hospitals with the highest proportion of ACSC visits ("high ACSC hospitals) and safety-net status. METHODS: This was a cross-sectional study of ED visits by Medicare fee-for-service beneficiaries ≥ 65 years using 2013-14 claims data, Area Health Resources File data, and County Health Rankings. Logistic regression estimated the association between an ACSC ED visit to high ACSC hospitals, accounting for individual, hospital, and community factors, including whether the visit was to a safety-net hospital. Safety net status was measured by Disproportionate Share Hospital (DSH) index patient percentage; public hospital status; and proportion of dual-eligible beneficiaries. Hospital-level correlation was calculated between ACSC visits, DSH index, and dual-eligible patients. We stratified by type of ACSC visit: acute or chronic. RESULTS: Among 5,192,729 ACSC ED visits, the odds of visiting a high ACSC hospital were higher for patients who were Black (1.37), dual-eligible (1.18), and with the highest comorbidity burden (1.26, p < 0.001 for all). ACSC visits had increased odds of being to high ACSC hospitals if the hospitals were high DSH (1.43), served the highest proportion of dual-eligible beneficiaries (2.23), and were for-profit (relative to non-profit) (1.38), and lower odds were associated with public hospitals (0.64) (p < 0.001 for all). This relationship was similar for visits to high chronic ACSC hospitals (high DSH: 1.59, high dual-eligibility: 2.60, for-profit: 1.41, public: 0.63, all p < 0.001) and to a lesser extent, high acute ACSC hospitals (high DSH: 1.02; high dual-eligibility: 1.48, for-profit: 1.17, public: 0.94, p < 0.001). The proportion of ACSC visits at all hospitals was weakly correlated with DSH proportion (0.2) and the proportion of dual-eligible patients (0.29), and this relationship was also seen for both chronic and acute ACSC visits, though stronger for the chronic ACSC visits. CONCLUSION: Visits to hospitals with a high proportion of acute ACSC ED visits may be less likely to be to hospitals classified as safety net hospitals than those with a high proportion of chronic ACSC visits.

A Spatiotemporal Tool to Project Hospital Critical Care Capacity and Mortality From COVID-19 in US Counties.

Objectives. To create a tool to rapidly determine where pandemic demand for critical care overwhelms county-level surge capacity and to compare public health and medical responses.Methods. In March 2020, COVID-19 cases requiring critical care were estimated using an adaptive metapopulation SEIR (susceptible‒exposed‒infectious‒recovered) model for all 3142 US counties for future 21-day and 42-day periods from April 2, 2020, to May 13, 2020, in 4 reactive patterns of contact reduction-0%, 20%, 30%, and 40%-and 4 surge response scenarios-very low, low, medium, and high.Results. In areas with increased demand, surge response measures could avert 104 120 additional deaths-55% through high clearance of critical care beds and 45% through measures such as greater ventilator access. The percentages of lives saved from high levels of contact reduction were 1.9 to 4.2 times greater than high levels of hospital surge response. Differences in projected versus actual COVID-19 demands were reasonably small over time.Conclusions. Nonpharmaceutical public health interventions had greater impact in minimizing preventable deaths during the pandemic than did hospital critical care surge response. Ready-to-go spatiotemporal supply and demand data visualization and analytics tools should be advanced for future preparedness and all-hazards disaster response.

The Short and the Long of it: Timing of Mortality for Older Adults in a State Trauma System.

BACKGROUND: The impact of injury extends beyond the hospital stay, but trauma center performance metrics typically focus on in-hospital mortality. We compared risk adjusted rates of in-hospital and long-term mortality among Pennsylvania trauma centers. We hypothesized that centers with low rates of in-hospital mortality would also have low rates of long-term mortality. METHODS: We identified injured patients (age ≥ 65) admitted to Pennsylvania trauma centers in 2013 and 2014 using the Pennsylvania Trauma Outcomes Study, a robust, state-wide trauma registry. We matched trauma registry records to Medicare claims from the y 2013 to 2015. Matching variables included admission date and patient demographics including date of birth, zip, sex, and race and/or ethnicity. Outcomes examined were inpatient, 30-day, and 1-y mortality. Multivariable logistic regression models including presenting physiology, comorbidities, injury characteristics, and demographics were developed to calculate expected mortality rates for each trauma center at each time point. Trauma center performance was assessed using observed-to-expected ratios and ranking for in-hospital, 30-day, and 1-y mortality. RESULTS: Of the 15,451 patients treated at 28 centers, 8.1% died before discharge or were discharged to hospice. Another 3.4% died within 30 d, and another 14.7% died within 1 y of injury. Of patients who survived hospitalization but died within 30 d, 92.5% were injured due to fall, and 75.0% sustained head injuries. Survival at 1 y was higher in patients discharged home (88.4%), compared to those discharged to a skilled nursing facility or long-term acute care hospital (72.7% and 52.6%, respectively). Three centers were identified as outliers (two low and one high) for in-hospital mortality, none of which were outliers when the horizon was stretched to 30 d from injury. At 30 d, two different low and two different high outliers were found. CONCLUSION: Nearly one-in-three injured older adults who die within 30 d of injury dies after hospital discharge. Hospital rankings for in-hospital mortality correlate poorly with long-term outcomes. These findings underscore the importance of looking beyond survival to discharge for quality improvement and benchmarking.

Effects of New York's Executive Order on Face Mask Use on COVID-19 Infections and Mortality: A Modeling Study.

There is growing evidence on the effect of face mask use in controlling the spread of COVID-19. However, few studies have examined the effect of local face mask policies on the pandemic. In this study, we developed a dynamic compartmental model of COVID-19 transmission in New York City (NYC), which was the epicenter of the COVID-19 pandemic in the USA. We used data on daily and cumulative COVID-19 infections and deaths from the NYC Department of Health and Mental Hygiene to calibrate and validate our model. We then used the model to assess the effect of the executive order on face mask use on infections and deaths due to COVID-19 in NYC. Our results showed that the executive order on face mask use was estimated to avert 99,517 (95% CIs 72,723-126,312) COVID-19 infections and 7978 (5692-10,265) deaths in NYC. If the executive order was implemented 1 week earlier (on April 10), the averted infections and deaths would be 111,475 (81,593-141,356) and 9017 (6446-11,589), respectively. If the executive order was implemented 2 weeks earlier (on April 3 when the Centers for Disease Control and Prevention recommended face mask use), the averted infections and deaths would be 128,598 (94,373-162,824) and 10,515 (7540-13,489), respectively. Our study provides public health practitioners and policymakers with evidence on the importance of implementing face mask policies in local areas as early as possible to control the spread of COVID-19 and reduce mortality.

Who provides what care? An analysis of clinical focus among the national emergency care workforce.

OBJECTIVE: Clinician expertise has been associated with improved patient outcomes, yet ED clinicians often work in various clinical settings beyond the ED and, therefore, may risk expertise by having less clinical focus. We sought to describe clinical focus among the emergency care workforce nationally. METHODS: Using the 2017 Medicare Public Use Files (PUF), we performed a cross-sectional analysis of clinicians receiving reimbursement for emergency care Evaluation & Management (E/M) services from Medicare fee-for-service Part B. Clinicians were categorized by type as EM physicians, non-EM physicians, and advanced practice providers (APPs). The primary outcome was the clinical focus of the individual clinician, defined as the proportion of E/M services within the ED setting relative to a clinician's total E/M services across all practice settings. RESULTS: Of 65,710 unique clinicians providing care to Medicare fee-for-service beneficiaries in the ED setting, 39,016 (59.4%) were classified as EM physicians, 8123 (12.4%) as non-EM physicians, and 18,571 (28.5%) as APPs. The individual clinician median focus was 92.8% (interquartile range [IQR]: 87.0, 100.0) for EM physicians, 45.2% (IQR: 5.1, 97.0) for non-EM physicians, and 100.0% (IQR: 96.3, 100.0) for APPs. CONCLUSION: EM physicians have twice as much clinical focus in comparison to non-EM physicians providing emergency care to Medicare fee-for-service beneficiaries. These findings underscore the importance of diverse training and certification programs to ensure access to clinically focused ED clinicians.

Patient Markers of Successful Diabetes Management.

PURPOSE: For individuals with diabetes, diabetes health status may not align with A1C targets. Patients may use nonclinical targets when assessing their diabetes management success. Identifying these targets is important in developing patient-centered management plans. The purpose of this study was to identify patient markers of successful diabetes management among patients in an urban academic health system. METHODS: A secondary analysis of semistructured interviews was completed with 89 adults with type 1 or type 2 diabetes. Participants had a recent diabetes-related emergency department (ED) visits or hospitalization or were primary care patients with an A1C >7.5%. Interviews were conducted to saturation. Demographic data were collected via self-report and electronic medical records. Interviews were analyzed using conventional content analysis. This analysis focused on patient perceptions of successful management coded to "measuring management success." RESULTS: Although most participants cited A1C or blood glucose as a marker of successful diabetes management, they had varied understanding of these metrics. Most used a combination of targets from the following categories: 1) A1C, blood glucose, and numbers; 2) engagement in medical care; 3) taking medication and medication types; 4) symptoms; 5) diet, exercise, and weight; and 6) stress management and social support. CONCLUSION: Individuals not meeting glycemic goals and/or with recent diabetes-related ED visits or hospitalizations had varied understanding of A1C and blood glucose targets. They use multiple additional markers of successful management and had a desire for management discussions that incorporate these markers. These measures should be incorporated into their care plans along with clinical targets.

Effect of Accountable Care Organizations on Emergency Medicine Payment and Care Redesign: A Qualitative Study.

STUDY OBJECTIVE: Accountable care organizations are provider networks aiming to improve quality while reducing costs for populations. It is unknown how value-based care within accountable care organizations affects emergency medicine care delivery and payment. Our objective was to describe how accountable care has impacted emergency care redesign and payment. METHODS: We performed a qualitative study of accountable care organizations, consisting of semistructured interviews with emergency department (ED) and accountable care organization leaders responsible for strategy, care redesign, and payment. We analyzed transcripts for key themes, using thematic analysis techniques. RESULTS: We performed 22 interviews across 7 accountable care organizations. All sites were enrolled in the Medicare Shared Savings Program; however, sites varied in region and maturity with respect to population health initiatives. Nearly all sites were focused on reducing low-value ED visits, expanding alternate venues for acute unscheduled care, and redesigning care to reduce ED admission rates through expanded care coordination, including programs targeting high-risk populations such as older adults and frequent ED users, telehealth, and expanded use of direct transfer to skilled nursing facilities from the ED. However, there has been no significant reform of payment for emergency medical care within these accountable care organizations. Nearly all informants expressed concern in regard to reduced ED reimbursement, given accountable care organization efforts to reduce ED utilization and increase clinician participation in alternative payment contracts. No participants expressed a clear vision for reforming payment for ED services. CONCLUSION: Care redesign within accountable care organizations has focused on outpatient access and alternatives to hospitalization. However, there has been little influence on emergency medicine payment, which remains fee for service. Evidence-based policy solutions are urgently needed to inform the adoption of value-based payment for acute unscheduled care.

Inpatient hospital performance is associated with post-discharge sepsis mortality.

BACKGROUND: Post-discharge deaths are common in patients hospitalized for sepsis, but the drivers of post-discharge deaths are unclear. The objective of this study was to test the hypothesis that hospitals with high risk-adjusted inpatient sepsis mortality also have high post-discharge mortality, readmissions, and discharge to nursing homes. METHODS: Retrospective cohort study of age-qualifying Medicare beneficiaries with sepsis hospitalization between January 2013 and December 2014. Hospital survivors were followed for 180-days post-discharge, and mortality, readmissions, and new admission to skilled nursing facility were measured. Inpatient hospital-specific sepsis risk-adjusted mortality ratio (observed: expected) was the primary exposure. RESULTS: A total of 830,721 patients in the cohort were hospitalized for sepsis, with inpatient mortality of 20% and 90-day mortality of 48%. Higher hospital-specific sepsis risk-adjusted mortality was associated with increased 90-day post-discharge mortality (aOR 1.03 per each 0.1 increase in hospital inpatient O:E ratio, 95% CI 1.03-1.04). Higher inpatient risk adjusted mortality was also associated with increased probability of being discharged to a nursing facility (aOR 1.03, 95% CI 1.02-1.03) and 90-day readmissions (aOR 1.03, 95% CI 1.02-1.03). CONCLUSIONS: Hospitals with the highest risk-adjusted sepsis inpatient mortality also have higher post-discharge mortality and increased readmissions, suggesting that post-discharge complications are a modifiable risk that may be affected during inpatient care. Future work will seek to elucidate inpatient and healthcare practices that can reduce sepsis post-discharge complications.

"I had no other choice but to catch it too": the roles of family history and experiences with diabetes in illness representations.

BACKGROUND: A family history of diabetes and family members' experiences with diabetes may influence individuals' beliefs and expectations about their own diabetes. No qualitative studies have explored the relationship between family history and experiences and individuals' diabetes illness representations. METHODS: Secondary data analysis of 89 exploratory, semi-structured interviews with adults with type 1 or type 2 diabetes seeking care in an urban health system. Participants had a recent diabetes-related ED visit/hospitalization or hemoglobin A1c > 7.5%. Interviews were conducted until thematic saturation was achieved. Demographic data were collected via self-report and electronic medical record review. Interviews were audio-recorded, transcribed, and coded using a conventional content analysis approach. References to family history and family members' experiences with diabetes were analyzed using selected domains of Leventhal's Common Sense Model of Self-Regulation. RESULTS: Participants cited both genetic and behavioral family history as a major cause of their diabetes. Stories of relatives' diabetes complications and death figured prominently in their discussion of consequences; however, participants felt controllability over diabetes through diet, physical activity, and other self-care behaviors. CONCLUSIONS: Findings supported an important role of family diabetes history and experience in development of diabetes illness representations. Further research is needed to expand our understanding of the relationships between these perceptions, self-management behaviors, and outcomes. Family practice providers, diabetes educators and other team members should consider expanding assessment of current family structure and support to also include an exploration of family history with diabetes, including which family members had diabetes, their self-care behaviors, and their outcomes, and how this history fits into the patient's illness representations.

The power of the group: comparison of interviews and group concept mapping for identifying patient-important outcomes of care.

BACKGROUND: Data are limited regarding how to effectively and efficiently identify patient priorities for research or clinical care. Our goal was to compare the comprehensiveness and efficiency of group concept mapping (GCM), a group participatory method, to interviews for identifying patient goals when seeking care. METHODS: We engaged patients with moderately- to poorly-controlled diabetes mellitus in either GCM or an individual interview. The primary outcome was the comprehensiveness of GCM brainstorming (the first stage of GCM) as compared to interviews for eliciting patient-important outcomes (PIOs) related to seeking care. Secondary outcomes included 1) comprehensiveness of GCM brainstorming and interviews compared to a master list of PIOs and 2) efficiency of GCM brainstorming, the entire GCM process and interviews. RESULTS: We engaged 89 interview participants and 52 GCM participants (across 3 iterations of GCM) to identify outcomes most important to patients when making decisions related to diabetes management. We identified 26 PIOs in interviews, 33 PIOs in the first GCM brainstorming session, and 38 PIOs across all three GCM brainstorming sessions. The initial GCM brainstorming session identified 77% (20/26) of interview PIOs, and all 3 GCM brainstorming sessions combined identified 88% (23/26). When comparing GCM brainstorming and interviews to the master list of PIOs, the initial GCM brainstorming sessions identified 80% (33/41), all 3 GCM brainstorming sessions identified 93% (38/41) and interviews identified 63% (26/41) of all PIOs. Compared to interviews, GCM brainstorming required less research team time, more patient time, and had a lowest cost. The entire GCM process still required less research team time than interviews, though required more patient time and had a higher cost than interviews. CONCLUSIONS: GCM brainstorming is a powerful tool for effectively and efficiently identifying PIOs in certain scenarios, though it does not provide the breadth and depth of individual interviews or the higher level conceptual organization of the complete process of GCM. Selection of the optimal method for patient engagement should include consideration of multiple factors including depth of patient input desired, research team expertise, resources, and the population to be engaged. TRIAL REGISTRATION: Registered on ClinicalTrials.gov , NCT02792777. Registration information submitted 6/2/2016, with the registration first posted on the ClinicalTrials.gov website 6/8/2016. Data collection began on 4/29/2016.

On-demand synchronous audio video telemedicine visits are cost effective.

INTRODUCTION: Claims data raises the possibility that on demand telemedicine programs might increase new utilization, offsetting the cost benefits described in some retrospective analyses. We prospectively evaluated the cost of a synchronous audio-video on-demand telemedicine taking into account both what patients would have done instead of the telemedicine visit as well as the care patients received after the visit. MATERIALS AND METHODS: We conducted a prospective observational study of patients who received care from an on-demand telemedicine program. At the time of the visit, we surveyed patients about the alternative care that would have been requested, if they had not done the telemedicine visit. We also obtained information following the visit about what further care was received. Using cost data derived from the literature we performed a sensitivity analysis to determine the cost impact of the on-demand telemedicine visit. RESULTS: There were 650 patients enrolled with a mean age of 37 who were 68% female; 74% had their care concerns resolved on the telemedicine visit; only 16% would have "done nothing" if they had not done the telemedicine visit, representing possible new utilization. Net cost savings per telemedicine visit was calculated to range from $19-$121 per visit. CONCLUSIONS: In our on-demand telemedicine program, we found the majority of health concerns could be resolved in a single consultation and new utilization was infrequent. Synchronous audio-video telemedicine consults resulted in short-term cost savings by diverting patients from more expensive care settings.

A National Analysis of Pediatric Trauma Care Utilization and Outcomes in the United States.

OBJECTIVES: More childhood deaths are attributed to trauma than all other causes combined. Our objectives were to provide the first national description of the proportion of injured children treated at pediatric trauma centers (TCs), and to provide clarity to the presumed benefit of pediatric TC verification by comparing injury mortality across hospital types. METHODS: We performed a population-based cohort study using the 2006 Healthcare Cost and Utilization Project Kids Inpatient Database combined with national TC inventories. We included pediatric discharges (≤16 y) with the International Classification of Diseases, Ninth Revision code(s) for injury. Descriptive analyses were performed evaluating proportions of injured children cared for by TC level. Multivariable logistic regression models were used to estimate differences in in-hospital mortality by TC type (among level-1 TCs only). Analyses were survey-weighted using Healthcare Cost and Utilization Project sampling weights. RESULTS: Of 153,380 injured children, 22.3% were admitted to pediatric TCs, 45.2% to general TCs, and 32.6% to non-TCs. Overall mortality was 0.9%. Among level-1 TCs, raw mortality was 1.0% pediatric TC, 1.4% dual TC, and 2.1% general TC. In adjusted analyses, treatment at level-1 pediatric TCs was associated with a significant mortality decrease compared to level-1 general TCs (adjusted odds ratio, 0.6; 95% confidence intervals, 0.4-0.9). CONCLUSIONS: Our results provide the first national evidence that treatment at verified pediatric TCs may improve outcomes, supporting a survival benefit with pediatric trauma verification. Given lack of similar survival advantage found for level-1 dual TCs (both general/pediatric verified), we highlight the need for further investigation to understand factors responsible for the survival advantage at pediatric-only TCs, refine pediatric accreditation guidelines, and disseminate best practices.

Geographic Modeling to Quantify the Impact of Primary and Comprehensive Stroke Center Destination Policies.

BACKGROUND AND PURPOSE: We evaluated the impact of a primary stroke center (PSC) destination policy in a major metropolitan city and used geographic modeling to evaluate expected changes for a comprehensive stroke center policy. METHODS: We identified suspected stroke emergency medical services encounters from 1/1/2004 to 12/31/2013 in Philadelphia, PA. Transport times were compared before and after initiation of a PSC destination policy on 10/3/2011. Geographic modeling estimated the impact of bypassing the closest hospital for the closest PSC and for the closest comprehensive stroke center. RESULTS: There were 2 326 943 emergency medical services runs during the study period, of which 15 099 had a provider diagnosis of stroke. Bypassing the closest hospital for a PSC was common before the official policy and increased steadily over time. Geographic modeling suggested that bypassing the closest hospital in favor of the closest PSC adds a median of 3.1 minutes to transport time. Bypassing to the closest comprehensive stroke center would add a median of 8.3 minutes. CONCLUSIONS: Within a large metropolitan area, the time cost of routing patients preferentially to PSCs and comprehensive stroke centers is low.

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

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

The Association of Prehospital Intravenous Fluids and Mortality in Patients with Penetrating Trauma.

BACKGROUND: The optimal approach to prehospital care of trauma patients is controversial, and thought to require balancing advanced field interventions with rapid transport to definitive care. OBJECTIVE: We sought principally to examine any association between the amount of prehospital IV fluid (IVF) administered and mortality. METHODS: We conducted a retrospective cohort analysis of trauma registry data patients who sustained penetrating trauma between January 2008 and February 2011, as identified in the Pennsylvania Trauma Systems Foundation registry with corresponding prehospital records from the Philadelphia Fire Department. Analyses were conducted with logistic regression models and instrumental variable analysis, adjusted for injury severity using scene vital signs before the intervention was delivered. RESULTS: There were 1966 patients identified. Overall mortality was 22.60%. Approximately two-thirds received fluids and one-third did not. Both cohorts had similar Trauma and Injury Severity Score-predicted mortality. Mortality was similar in those who received IVF (23.43%) and those who did not (21.30%) (p = 0.212). Patients who received IVF had longer mean scene times (10.82 min) than those who did not (9.18 min) (p < 0.0001), although call times were similar in those who received IVF (24.14 min) and those who did not (23.83 min) (p = 0.637). Adjusted analysis of 1722 patients demonstrated no benefit or harm associated with prehospital fluid (odds ratio [OR] 0.905, 95% confidence interval [CI] 0.47-1.75). Instrumental variable analysis utilizing variations in use of IVF across different Emergency Medical Services (EMS) units also found no association between the unit's percentage of patients that were provided fluids and mortality (OR 1.02, 95% CI 0.96-1.08). CONCLUSIONS: We found no significant difference in mortality or EMS call time between patients who did or did not receive prehospital IVF after penetrating trauma.