Mapping the Ecological Terrain of Stroke Prehospital Delay: A Nationwide Registry Study.

BACKGROUND: Delays in hospital presentation limit access to acute stroke treatments. While prior research has focused on patient-level factors, broader ecological and social determinants have not been well studied. We aimed to create a geospatial map of prehospital delay and examine the role of community-level social vulnerability. METHODS: We studied patients with ischemic stroke who arrived by emergency medical services in 2015 to 2017 from the American Heart Association Get With The Guidelines-Stroke registry. The primary outcome was time to hospital arrival after stroke (in minutes), beginning at last known well in most cases. Using Geographic Information System mapping, we displayed the geography of delay. We then used Cox proportional hazard models to study the relationship between community-level factors and arrival time (adjusted hazard ratios [aHR] <1.0 indicate delay). The primary exposure was the social vulnerability index (SVI), a metric of social vulnerability for every ZIP Code Tabulation Area ranging from 0.0 to 1.0. RESULTS: Of 750 336 patients, 149 145 met inclusion criteria. The mean age was 73 years, and 51% were female. The median time to hospital arrival was 140 minutes (Q1: 60 minutes, Q3: 458 minutes). The geospatial map revealed that many zones of delay overlapped with socially vulnerable areas (https://harvard-cga.maps.arcgis.com/apps/webappviewer/index.html?id=08f6e885c71b457f83cefc71013bcaa7). Cox models (aHR, 95% CI) confirmed that higher SVI, including quartiles 3 (aHR, 0.96 [95% CI, 0.93-0.98]) and 4 (aHR, 0.93 [95% CI, 0.91-0.95]), was associated with delay. Patients from SVI quartile 4 neighborhoods arrived 15.6 minutes [15-16.2] slower than patients from SVI quartile 1. Specific SVI themes associated with delay were a community's socioeconomic status (aHR, 0.80 [95% CI, 0.74-0.85]) and housing type and transportation (aHR, 0.89 [95% CI, 0.84-0.94]). CONCLUSIONS: This map of acute stroke presentation times shows areas with a high incidence of delay. Increased social vulnerability characterizes these areas. Such places should be systematically targeted to improve population-level stroke presentation times.

Association between Surgery, Anesthesia, and Obstetric Workforce and Emergent Surgical and Obstetric Mortality among United States Hospital Referral Regions.

OBJECTIVE: To determine the association between SAO workforce and mortality from emergent surgical and obstetric conditions within US HR Rs. BACKGROUND: SAO workforce per capita has been identified as a core metric of surgical capacity by the Lancet Commission on Global Surgery, but its utility has not been assessed at the subnational level for a high-income country. METHODS: The number of practicing surgeons, anesthesiologists, and obstetricians per capita was estimated for all HRRs using the US Health Resources & Services Administration Area Health Resource File Database. Deaths due to emergent general surgical and obstetric conditions were determined from the Center for Disease Control and Prevention WONDER database. We utilized B-spline quantile regression to model the relationship between SAO workforce and emergent surgical mortality at different quantiles of mortality and calculated the expected change in mortality associated with increases in SAO workforce. RESULTS: The median SAO workforce across all HRRs was 74.2 per 100,000 population (interquartile range 33.3-241.0). All HRRs met the Lancet Commission on Global Surgery lower target of 20 SAO per 100,000, and 97.7% met the upper target of 40 per 100,000. Nearly 2.8 million Americans lived in HRRs with fewer than 40 SAO per 100,000. Increases in SAO workforce were associated with decreases in surgical mortality in HRRs with high mortality, with minimal additional decreases in mortality above 60 to 80 SAO per 100,000. CONCLUSIONS: Increasing SAO workforce capacity may reduce emergent surgical and obstetric mortality in regions with high surgical mortality but diminishing returns may be seen above 60 to 80 SAO per 100,000. Trial Registration: N/A.

Socioeconomic and racial disparities in revisits, indication, and readmission or reoperation in pediatric tonsillectomy.

INTRODUCTION: Pediatric tonsillectomy is a frequent otolaryngologic procedure. This study aimed to characterize disparities in post-tonsillectomy revisits, including emergency department evaluation, readmission, or reoperation as well as indication for revisit. METHODS: Cases of inpatient and ambulatory pediatric tonsillectomy in New York and Florida in 2016 constituted the analytic sample. Patients were extracted from the State Ambulatory Surgery Databases (SASD) and State Inpatient Databases (SID) and linked to the SID and State Emergency Department Database (SEDD) and SASD. Outcomes include 3 types of revisits within 30 days: ED visits, hospital readmissions, and reoperation. Indication for revisit was also analyzed. Multivariable analysis determined the association of each outcome with gender, age, race/ethnicity, primary payer, urbanicity, and zip code median household income quartile. The Holm Bonferroni test was used to correct for multiple hypothesis testing. RESULTS: 15,264 pediatric tonsillectomies were included. The revisit rate was 6.77% (N = 1,034, 49.1% female; 6 years median age [interquartile range: 5]). The 30-day ED revisit rate was 4.85%, readmission rate was 1.27%, and reoperation rate was 0.65%. On multivariate analysis, Latinx patients (OR = 3.042, 95% CI = 1.393-6.803) and those who identify as other race/ethnicity (OR = 6.116, 95% CI = 1.989-19.245) have greater odds of requiring inpatient care for indications including pain, dehydration, nausea, and vomiting compared to white patients. No significant differences in tier of care for the management of post-tonsillectomy hemorrhage were identified. CONCLUSION: Disparities in pediatric post-tonsillectomy ED presentation, readmission and reoperation demonstrate opportunities to improve patient safety and equity.

Association of hospital centrality in inter-hospital patient-sharing networks with patient mortality and length of stay.

OBJECTIVE: The interdependence of hospitals is underappreciated in patient outcomes studies. We used a network science approach to foreground this interdependence. Specifically, within two large state-based interhospital networks, we examined the relationship of a hospital's network position with in-hospital mortality and length of stay. METHODS: We constructed interhospital network graphs using data from the Healthcare Cost and Utilization Project and the American Hospital Association Annual Survey for Florida (2014) and California (2011). The exposure of interest was hospital centrality, defined as weighted degree (sum of all ties to a given hospital from other hospitals). The outcomes were in-hospital mortality and length of stay with sub-analyses for four acute medical conditions: pneumonia, heart failure, ischemic stroke, myocardial infarction. We compared outcomes for each quartile of hospital centrality relative to the most central quartile (Q4), independent of patient- and hospital-level characteristics, in this retrospective cross-sectional study. RESULTS: The inpatient cohorts had 1,246,169 patients in Florida and 1,415,728 in California. Compared to Florida's central hospitals which had an overall mortality 1.60%, peripheral hospitals had higher in-hospital mortality (1.97%, adjusted OR (95%CI): Q1 1.61 (1.37, 1.89), p<0.001). Hospitals in the middle quartiles had lower in-hospital mortality compared to central hospitals (%, adjusted OR (95% CI): Q2 1.39%, 0.79 (0.70, 0.89), p<0.001; Q3 1.33%, 0.78 (0.70, 0.87), p<0.001). Peripheral hospitals had longer lengths of stay (adjusted incidence rate ratio (95% CI): Q1 2.47 (2.44, 2.50), p<0.001). These findings were replicated in California, and in patients with heart failure and pneumonia in Florida. These results show a u-shaped distribution of outcomes based on hospital network centrality quartile. CONCLUSIONS: The position of hospitals within an inter-hospital network is associated with patient outcomes. Specifically, hospitals located in the peripheral or central positions may be most vulnerable to diminished quality outcomes due to the network. Results should be replicated with deeper clinical data.

Defining the emergency general surgery patient population in the era of ICD-10 : Evaluating an established crosswalk from ICD-9 to ICD-10 diagnosis codes.

INTRODUCTION: In 2015, the United States moved from the International Classification of Diseases, Ninth Revision ( ICD-9 ), to the International Classification of Diseases, Tenth Revision ( ICD-10 ), coding system. The American Association for the Surgery of Trauma Committee on Severity Assessment and Patient Outcomes previously established a list of ICD-9 diagnoses to define the field of emergency general surgery (EGS). This study evaluates the general equivalence mapping (GEM) crosswalk to generate an equivalent list of ICD-10 -coded EGS diagnoses. METHODS: The GEM was used to generate a list of ICD-10 codes corresponding to the American Association for the Surgery of Trauma ICD-9 EGS diagnosis codes. These individual ICD-9 and ICD-10 codes were aggregated by surgical area and diagnosis groups. The volume of patients admitted with these diagnoses in the National Inpatient Sample in the ICD-9 era (2013-2014) was compared with the ICD-10 volumes to generate observed to expected ratios. The crosswalk was manually reviewed to identify the causes of discrepancies between the ICD-9 and ICD-10 lists. RESULTS: There were 485 ICD-9 codes, across 89 diagnosis categories and 11 surgical areas, which mapped to 1,206 unique ICD-10 codes. A total of 196 (40%) ICD-9 codes have an exact one-to-one match with an ICD-10 code. The median observed to expected ratio among the diagnosis groups for a primary diagnosis was 0.98 (interquartile range, 0.82-1.12). There were five key issues identified with the ability of the GEM to crosswalk ICD-9 EGS diagnoses to ICD-10 : (1) changes in admission volumes, (2) loss of necessary modifiers, (3) lack of specific ICD-10 code, (4) mapping to a different condition, and (5) change in coding nomenclature. CONCLUSION: The GEM provides a reasonable crosswalk for researchers and others to use when attempting to identify EGS patients in with ICD-10 diagnosis codes. However, we identify key issues and deficiencies, which must be accounted for to create an accurate patient cohort. This is essential for ensuring the validity of policy, quality improvement, and clinical research work anchored in ICD-10 coded data. LEVEL OF EVIDENCE: Diagnostic Test/Criteria; Level III.

Use of Advance Care Planning Codes Among Transgender Medicare Beneficiaries.

Purpose: We examined the use of advance care planning (ACP) among Medicare beneficiaries who were identified as transgender. Methods: This study is a cross-sectional analysis of Medicare claims from 2016 to 2018, comparing ACP visits between transgender and other beneficiaries. Results: Beneficiaries identified as transgender were slightly more likely than those who were dual eligible for Medicaid and Medicare, and the remaining fee-for-service Medicare population, to have received a claim for ACP. However, racial and ethnic differences exist and transgender beneficiaries were more likely to receive an ACP claim from hospice/palliative care clinicians compared with primary care clinicians relative to other beneficiaries. Conclusions: Differences in ACP provision may exacerbate disparities in access to ACP benefits faced by transgender patients.

Opioid administration in the prehospital setting for patients sustaining traumatic injuries: An evaluation of national emergency medical services data.

INTRODUCTION: Despite concerns about long-term dependence, opioids remain the mainstay of treatment for acute pain from traumatic injuries. Additionally, early pain management has been associated with improved long-term outcomes in injured patients. We sought to identify the patterns of prehospital pain management across the United States. METHODS: We used 2019 national emergency medical services (EMS) data to identify the use of pain management for acutely injured patients. Opioid specific dosing was calculated in morphine milligram equivalents (MME). The effects of opioids as well as adverse events were identified through objective patient data and structured provider documentation. RESULTS: We identified a total of 3,831,768 injured patients, 85% of whom were treated by an advanced life support (ALS) unit. There were 269,281 (7.0%) patients treated with opioids, including a small number of patients intubated by EMS (n = 1537; 0.6%). The median opioid dose was 10 MME [IQR 5-10] and fentanyl was the most commonly used opioid (88.2%). Patients treated with opioids had higher initial pain scores documented by EMS than those not receiving opioids (median: 9 vs 4, p<0.001), and had a median reduction in pain score of 3 points (IQR 1-5) based on the final prehospital pain score. Adverse events associated with opioid administration, including episodes of altered mental status (n = 453; 0.2%) and respiratory compromise (n = 252; 0.1%), were rare. For patients with severe pain (≥8/10), 27.3% of patients with major injuries (ISS ≥15) were treated with opioids, compared with 24.8% of those with moderate injuries (ISS 9-14), and 21.4% of those with minor (ISS 1-8) injuries (p<0.001). CONCLUSION: The use of opioids in the prehospital setting significantly reduced pain among injured patients with few adverse events. Despite its efficacy and safety, the majority of patients with major injuries and severe pain do not receive opioid analgesia in the prehospital setting.

Advance care planning among Medicare beneficiaries with dementia undergoing surgery.

IMPORTANCE: Advance care planning (ACP), in which patients or their surrogates discuss goals and preferences for care with physicians, attorneys, friends, and family, is an important approach to help align goals with actual treatment. ACP may be particularly valuable in patients with advanced serious illnesses such as Alzheimer's disease and related dementias (ADRDs) for whom surgery carries significant risks. OBJECTIVE: To determine the frequency, timing, and factors associated with ACP billing in Medicare beneficiaries with ADRD undergoing nontrauma inpatient surgery. DESIGN: This national cohort study analyzes Medicare fee-for-service claims data from 2016 to 2017. All patients had a 6-month lookback and follow-up period. SETTING: National Medicare fee-for-service data. PARTICIPANTS: All patients with ADRD, defined according to the Chronic Conditions Warehouse, undergoing inpatient surgery from July 1, 2016 to June 30, 2017. EXPOSURES: Patient demographics, medical history, and procedural outcomes. MAIN OUTCOME: ACP billing codes from 6 months before to 6 months after admission for inpatient surgery. RESULTS: This study included 289,428 patients with ADRD undergoing surgery, of whom 21,754 (7.5%) had billed ACP within the 6 months before and after surgical admission. In a multivariable analysis, patients of white race, male sex, and residence in the Southern and Midwestern United States were at the highest risk of not receiving ACP. Of all patients who received ACP, 5960 (27.4%) did so before surgery while 12,658 (52.8%) received ACP after surgery. Timing of ACP after surgery was associated with an Elixhauser comorbidity index of 3 or higher (1.23, p = 0.045) and major postoperative complication or death (odds ratio 1.52, p < 0.0001). CONCLUSIONS AND RELEVANCE: Overall ACP billing code use is low among Medicare patients with ADRD undergoing surgery. Billed ACP appears to have a reactive pattern, occurring most commonly after surgery and in association with postoperative mortality and complications. Additional study is warranted to understand barriers to use.

Disparities in the Geographic Distribution of Neurosurgeons in the United States: A Geospatial Analysis.

OBJECTIVE: Large disparities in access to neurosurgical care are known, but there are limited data on whether geographic distribution of the neurosurgery workforce potentially plays a role in these disparities. The goal of this study was to identify the geographic distribution of neurosurgeons in the United States and to study the association of the per capita workforce distribution with socioeconomic characteristics of the population. METHODS: The number of practicing neurosurgeons in the United States in 2016 was obtained from the 2017-2018 American Medical Association Masterfile contained within the Area Health Resource File. The association of the number of neurosurgeons per 100,000 population with socioeconomic characteristics was assessed through linear regression analysis at Hospital Referral Region (HRR) level. RESULTS: The median number of neurosurgeons per capita across all HRRs was 1.47 neurosurgeons per 100,000 population (interquartile range, 1.02-2.27). Bivariable analysis showed that greater supply of neurosurgeons was positively associated with regional levels of college education, median income, and median age. The number of neurosurgeons per capita at the HRR level was negatively associated with unemployment, poverty, and percent uninsured. CONCLUSIONS: Regions characterized by low socioeconomic status have fewer neurosurgeons per capita in the United States. Low income, low number of college graduates, and high unemployment rate are associated with fewer numbers of neurosurgeons per capita. Further research is needed to determine if these geographic workforce disparities contribute to poor access to quality neurosurgical care.

Transmastoid Labyrinthectomy for Menière's Disease: Experience and Outcomes.

OBJECTIVE: To characterize presurgical symptoms and treatment history and postoperative course in patients with medically recalcitrant Menière's disease undergoing transmastoid labyrinthectomy in the post-intratympanic gentamicin era. STUDY DESIGN: Retrospective case series. SETTING: Tertiary academic medical center. PATIENTS: All patients who underwent transmastoid labyrinthectomy for medically recalcitrant Menière's disease in 2003 to 2019 by the senior author. INTERVENTIONS: Review of patients' medical records for: preoperative history of drop attacks, gentamicin injections, endolymphatic sac decompression or vestibular neurectomy, preoperative audiograms, length of hospital stay, postoperative complications, and persistent symptoms or challenging recovery. MAIN OUTCOME MEASURES: Presurgical clinical history and proximal postoperative outcomes. RESULTS: Seventy-two patients with a mean age of 56.7 (standard deviation [SD] 10.7) were included. All cases were unilateral. Forty-three patients (59.7%) suffered from drop attacks. Sixty-two (86.1%) had failed sufficient symptom control with gentamicin injections. The mean preoperative word recognition score was 36.4% (SD 23.7) versus 95.1% (SD 8.5) in the contralateral ear. The mean pure-tone average (PTA) of the ipsilateral ear before surgery was 65.5 dB (SD 18.0) versus 16.2 (SD 13.5) for the contralateral ear. Mean hospital stay was 2.0 days (SD 0.87 days, range of 1-5 d). Three patients (4.2%) had prolonged postoperative vertigo. CONCLUSIONS: Transmastoid labyrinthectomy at our center is performed for unilateral Menière's disease, generally when intratympanic gentamicin has failed. A majority of surgical patients suffer from drop attacks preoperatively. Hospital stay is typically brief.