Increased Distance From the Tertiary Cardiac Center Is Associated With Worse 30-Day Outcomes After Cardiac Operations

Geographic Access to Pediatric Orthopedic Surgeons in the United States: An Analysis of Sociodemographic Factors

BACKGROUND

It is unclear how pediatric orthopedic surgeons are geographically distributed relative to their patients. The purpose of this study was to evaluate the geographic distribution of pediatric orthopedic surgeons in the United States.

MATERIALS AND METHODS

County-level data of actively practicing pediatric orthopedic surgeons were identified by matching several registries and membership logs. Data were used to calculate the distance between counties and nearest surgeon. Counties were categorized as "surgeon clusters" or "surgeon deserts" if the distance to the nearest surgeon was less than or greater than the national average and the average of all neighboring counties, respectively. Cohorts were then compared for differences in population characteristics using data obtained from the 2020 American Community Survey.

RESULTS

A total of 1197 unique pediatric orthopedic surgeons were identified. The mean distance to the nearest pediatric orthopedic surgeon for a patient residing in a surgeon desert or a surgeon cluster was 141.9±53.8 miles and 30.9±16.0 miles, respectively. Surgeon deserts were found to have lower median household incomes (P<.001) and greater rates of children without health insurance (P<.001). Multivariate analyses showed that higher Rural-Urban Continuum codes (P<.001), Area Deprivation Index scores (P<.001), and percentage of patients without health insurance (P<.001) all independently required significantly greater travel distances to see a pediatric orthopedic surgeon.

CONCLUSION

Pediatric orthopedic surgeons are not equally distributed in the United States, and many counties are not optimally served. Additional studies are needed to identify the relationship between travel distances and patient outcomes and how geographic inequalities can be minimized. [Orthopedics. 2024;47(4):e204-e210.].

Barriers to Access to Cardiac Surgery: Canadian Situation and Global Context

Cardiovascular disease is the leading cause of morbidity and mortality worldwide. Cardiovascular care spans primary, secondary, and tertiary prevention and care, whereby tertiary care is particularly prone to disparities in care. Challenges in access to care especially affect low- and middle-income countries (LMICs), however, multiple barriers also exist and persist across high-income countries. Canada is lauded for its universal health coverage but is faced with health care system challenges and substantial geographic barriers. Canada possesses 203 active cardiac surgeons, or 5.02 per million population, ranging from 3.70 per million in Newfoundland and Labrador to 7.48 in Nova Scotia. As such, Canada possesses fewer cardiac surgeons per million population than the average among high-income countries (7.15 per million), albeit more than the global average (1.64 per million) and far higher than the low-income country average (0.04 per million). In Canada, adult cardiac surgeons are active across 32 cardiac centres, representing 0.79 cardiac centres per million population, which is just above the global average (0.73 per million). In addition to centre and workforce variations, barriers to care exist in the form of waiting times, sociodemographic characteristics, insufficient virtual care infrastructure and electronic health record interoperability, and health care governance fragmentation. Meanwhile, Canada has highly favourable surgical outcomes, well established postacute cardiac care infrastructure, considerable spending on health, robust health administrative data, and effective health technology assessment agencies, which provides a foundation for continued improvements in care. In this narrative review, we describe successes and challenges surrounding access to cardiac surgery in Canada and globally.

Geospatial and Socioeconomic Factors Interact to Predict Management and Outcomes in Cleft Lip and Palate Surgery: A Single Institution Study of 740 Patients

OBJECTIVE

Determine interactions between geospatial and socioeconomic factors influencing cleft lip and/or cleft palate (CL/P) management and outcomes.

DESIGN

Retrospective review and outcomes analysis (n = 740).

SETTING

Urban academic tertiary care center.

PATIENTS

740 patients undergoing primary (CL/P) surgery from 2009 to 2019.

MAIN OUTCOMES MEASURES

Prenatal evaluation by plastic surgery, nasoalveolar molding, cleft lip adhesion, and age at CL/P surgery.

RESULTS

Prenatal evaluation by plastic surgery was predicted by the interaction between higher patient median block group income and shorter patient distance from the care center (OR = 1.07, p = 0.022). Nasoalveolar molding was also predicted by the interaction between higher patient median block group income and shorter distance from the care center (OR = 1.28, p = 0.016), whereas cleft lip adhesion was predicted by higher patient median block group income alone (OR = 0.41, p < 0.001). Lower patient median block group income predicted later age at cleft lip (β = -67.25, p = 0.011) and cleft palate (β = -46.35, p = 0.050) repair surgery.

CONCLUSIONS

Distance from the care center and lower median income by block group interacted to significantly predict prenatal evaluation by plastic surgery and nasoalveolar molding for patients with CL/P at a large, urban, tertiary care center. Patients living farthest from the care center who received prenatal evaluation by plastic surgery or who underwent nasoalveolar molding had higher median block group income. Future work will determine mechanisms perpetuating these barriers to care.

Geographic access to pediatric neurosurgeons in the USA: an analysis of sociodemographic factors

PURPOSE

Geographic access to physicians has been shown to be unevenly distributed in the USA, with those in closer proximity having superior outcomes. The purpose of this study was to describe how geographic access to pediatric neurosurgeons varies across socioeconomic and demographic factors.

METHODS

Actively practicing neurosurgeons were identified by matching several registries and membership logs. This data was used to find their primary practice locations and the distance the average person in a county must travel to visit a surgeon. Counties were categorized into "surgeon deserts" and "surgeon clusters," which were counties where providers were significantly further or closer to its residents, respectively, compared to the national average. These groups were also compared for differences in population characteristics using data obtained from the 2020 American Community Survey.

RESULTS

A total of 439 pediatric neurosurgeons were identified. The average person in a surgeon desert and cluster was found to be 189.2 ± 78.1 miles and 39.7 ± 19.6 miles away from the nearest pediatric neurosurgeon, respectively. Multivariate analyses showed that higher Rural-Urban Continuum (RUC) codes (p < 0.001), and higher percentages of American Indian (p < 0.001) and Hispanic (p < 0.001) residents were independently associated with counties where the average person traveled significantly further to surgeons.

CONCLUSION

Patients residing in counties with greater RUC codes and higher percentages of American Indian and Hispanic residents on average need to travel significantly greater distances to access pediatric neurosurgeons.

Geographic Disparities in Access to Neurologists and Multiple Sclerosis Care in the United States

BACKGROUND AND OBJECTIVES

A shortage of neurology clinicians and healthcare disparities may hinder access to neurologic care. This study examined disparities in geographic access to neurologists and subspecialty multiple sclerosis (MS) care among various demographic segments of the United States.

METHODS

Neurologist practice locations from 2022 CMS Care Compare physician data and MS Center locations as defined by the Consortium of Multiple Sclerosis Centers were used to compute spatial access for all U.S. census tracts. Census tract-level community characteristics (sex, age, race, ethnicity, education, income, insurance, % with computer, % without a vehicle, % with limited English, and % with hearing, vision, cognitive, and ambulatory difficulty) were obtained from 2020 American Community Survey 5-year estimates. Rural-urban status was obtained from 2010 rural-urban commuting area codes. Logistic and linear regression models were used to examine access to a neurologist or MS Center within 60 miles and 60-mile spatial access ratios.

RESULTS

Of 70,858 census tracts, 388 had no neurologists within 60 miles and 17,837 had no MS centers within 60 miles. Geographic access to neurologists (spatial access ratio [99% CI]) was lower for rural (-80.49%; CI [-81.65 to -79.30]) and micropolitan (-60.50%; CI [-62.40 to -58.51]) areas compared with metropolitan areas. Tracts with 10% greater percentage of Hispanic individuals (-4.53%; CI [-5.23 to -3.83]), men (-6.76%; CI [-8.96 to -4.5]), uninsured (-7.99%; CI [-9.72 to -6.21]), individuals with hearing difficulty (-40.72%; CI [-44.62 to -36.54]), vision difficulty (-13.0%; [-18.72 to -6.89]), and ambulatory difficulty (-15.68%; CI [-19.25 to -11.95]) had lower access to neurologists. Census tracts with 10% greater Black individuals (3.50%; CI [2.93-10.71]), college degree holders (-7.49%; CI [6.67-8.32]), individuals with computers (16.57%, CI [13.82-19.40]), individuals without a vehicle (9.57%; CI [8.69-10.47]), individuals with cognitive difficulty (25.63%; CI [19.77-31.78]), and individuals with limited English (18.5%; CI [16.30-20.73]), and 10-year older individuals (8.85%; CI [7.03-10.71]) had higher spatial access to neurologists. Covariates for access followed similar patterns for MS centers.

DISCUSSION

Geographic access to neurologists is decreased in rural areas, in areas with higher proportions of Hispanics, populations with disabilities, and those uninsured. Access is further limited for MS subspecialty care. This study highlights disparities in geographic access to neurologic care.

The Impact of Rural Hospital Closures and Health Service Restructuring on Provincial- and Community-Level Patterns of Hospital Admissions in New Brunswick

In the early 2000s, the Province of New Brunswick, Canada, undertook health system restructuring, including closing some rural hospitals. We examined whether changes in geographic access to hospitals and primary care were associated with changes in patterns of hospital use. We described three measures of hospital use for ambulatory care sensitive conditions (ACSCs) among adults 75 years and younger annually during the period 2004-2013 overall, and at the community scale. We described spatial and temporal patterns in: age-standardized hospitalization rates, age-standardized incidence of hospital admissions, and rates of admissions via ambulance. Overall, rates and incidence of hospitalizations for ACSCs declined while admissions via ambulance remained largely unchanged. We observed considerable regional variation in rates between communities in 2004. This regional variation decreased over time, with rural areas demonstrating the sharpest declines. Changes in hospital service provision within individual communities had little impact on rates of ACSC admissions. Results were consistent across urban and rural communities and were robust to analyses that included older patients and those admitted for reasons other than ACSCs. Our results suggest that the restructuring and hospital closures did not result in substantial changes to regional patterns or rates of service use.

Influence of Geographic Access on Surgical Center Readmissions After Index Congenital Heart Surgery

OBJECTIVE

To assess the impact of geographic access to surgical center on readmission risk and burden in children after congenital heart surgery.

STUDY DESIGN

Children <6 years old at discharge after congenital heart surgery (Risk Adjustment for Congenital Heart Surgery-1 score 2-6) were identified using Pediatric Health Information System data (46 hospitals, 2004-2015). Residential distance from the surgery center, calculated using ZIP code centroids, was categorized as <15, 15-29, 30-59, 60-119, and ≥120 miles. Rurality was defined using rural-urban commuting area codes. Geographic risk factors for unplanned readmissions to the surgical center and associated burden (total hospital length of stay [LOS], costs, and complications) were analyzed using multivariable regression.

RESULTS

Among 59 696 eligible children, 19 355 (32%) had ≥1 unplanned readmission. The median LOS was 9 days (IQR 22) across the entire cohort. In those readmitted, median total costs were $31 559 (IQR $90 176). Distance from the center was inversely related but rurality was positively related to readmission risk. Among those readmitted, increased distance was associated with longer LOS, more complications, and greater costs. Compared with urban patients, highly rural patients were more likely to have an unplanned readmission but had fewer average readmission days.

CONCLUSIONS

Geographic measures of access differentially affect readmission to the surgery center. Increased distance from the center was associated with fewer unplanned readmissions but more complications. Among those readmitted, the most isolated patients had the greatest readmission costs. Understanding the contribution of geographic access will aid in developing strategies to improve care delivery to this population.

Impact of postdischarge care fragmentation on clinical outcomes and survival following transcatheter aortic valve replacement

BACKGROUND

The study aimed to evaluate the prognostic impact of postdischarge care fragmentation in patients undergoing transcatheter aortic valve replacement (TAVR).

METHODS

A total of 266 patients undergoing TAVR due to severe aortic stenosis were included in this retrospective cohort study. Patients were assigned to one of two groups based on presence (n = 104) and absence (n = 162) of postdischarge care fragmentation. Fragmented care was defined as at least one readmission to a site other than the implanting TAVR center within 90 days. Prognostic impact of care fragmentation on clinical outcomes and predictors of long-term mortality were investigated.

RESULTS

Increased major vascular complication (16.3 vs 8.0%, p = 0.037), permanent pacemaker implantation (14.4 vs 6.2%, p = 0.025), and acute kidney injury (22.1 vs 14.2%, p < 0.001) were reported in the fragmented care group. Although early mortality (6.7 vs 4.3%, p = 0.152) was similar between groups, there was a significant difference in 5‑year mortality (66.3 vs 45.7%, p < 0.001). In a univariate regression analysis fragmented care, age, chronic obstructive pulmonary disease, pulmonary artery systolic pressure, and paravalvular leakage were significantly associated with 5‑year mortality. Fragmented care (hazard ratio [HR] 1.510, 95% confidence interval [CI] 1.080-2.111; p = 0.016), age (HR 1.024, 95% CI 1.001-1.048; p = 0.045), paravalvular leakage (HR 1.863, 95% CI 1.076-3.228; p = 0.026), and chronic obstructive pulmonary disease (HR 1.616, 95% CI 1.114-2.344; p = 0.012) were found to be significant independent predictors of 5‑year mortality in a multivariate analysis, after adjusting for other risks.

CONCLUSION

Fragmented care has a significant prognostic impact on clinical outcomes and survival.

Patterns in Geographic Access to Health Care Facilities Across Neighborhoods in the United States Based on Data From the National Establishment Time-Series Between 2000 and 2014

IMPORTANCE

The association between proximity to health care facilities and improved disease management and population health has been documented, but little is known about small-area health care environments and how the presence of health care facilities has changed over time during recent health system and policy change.

OBJECTIVE

To examine geographic access to health care facilities across neighborhoods in the United States over a 15-year period.

DESIGN, SETTING, AND PARTICIPANTS

Using longitudinal business data from the National Establishment Time-Series, this cross-sectional study examined the presence of and change in ambulatory care facilities and pharmacies and drugstores in census tracts (CTs) throughout the continental United States between 2000 and 2014. Between January and April 2019, multinomial logistic regression was used to estimate associations between health care facility presence and neighborhood sociodemographic characteristics over time.

MAIN OUTCOMES AND MEASURES

Change in health care facility presence was measured as never present, lost, gained, or always present between 2000 and 2014. Neighborhood sociodemographic characteristics (ie, CTs) and their change over time were measured from US Census reports (2000 and 2010) and the American Community Survey (2008-2012).

RESULTS

Among 72 246 included CTs, the percentage of non-US-born residents, residents 75 years or older, poverty status, and population density increased, and 8.1% of CTs showed a change in the racial/ethnic composition of an area from predominantly non-Hispanic (NH) white to other racial/ethnic composition categories between 2000 and 2010. The presence of ambulatory care facilities increased from a mean (SD) of 7.7 (15.9) per CT in 2000 to 13.0 (22.9) per CT in 2014, and the presence of pharmacies and drugstores increased from a mean (SD) of 0.6 (1.0) per CT in 2000 to 0.9 (1.4) per CT in 2014. Census tracts with predominantly NH black individuals (adjusted odds ratio [aOR], 2.37; 95% CI, 2.03-2.77), Hispanic/Latino individuals (aOR 1.30; 95% CI, 1.00-1.69), and racially/ethnically mixed individuals (aOR, 1.53; 95% CI, 1.33-1.77) in 2000 had higher odds of losing health care facilities between 2000 and 2014 compared with CTs with predominantly NH white individuals, after controlling for other neighborhood characteristics. Census tracts of geographic areas with higher levels of poverty in 2000 also had higher odds of losing health care facilities between 2000 and 2014 (aOR, 1.12; 95% CI, 1.05-1.19).

CONCLUSIONS AND RELEVANCE

Differential change was found in the presence of health care facilities across neighborhoods over time, indicating the need to monitor and address the spatial distribution of health care resources within the context of population health disparities.

Effect of distance to specialist care for the diagnosis and disease outcome of inflammatory bowel disease in the Swiss inflammatory bowel disease cohort study

BACKGROUND

Inflammatory bowel disease (IBD) needs early interventions and an individual specialist-patient relationship. Distance from a tertiary IBD center might affect patient's disease course and outcome. We investigated whether the patient-to-specialist distance has an impact on the disease course using the well-defined patient collective of the Swiss Inflammatory Bowel Disease Cohort Study (SIBDCS).

METHODS

Patient's home address at diagnosis (postal zip code) was extracted from the SIBDCS database. Distance between each zip code and the nearest located IBD specialist center was calculated and classified into the following three sections based on proximity: <10 km (group 1); 10-35 km (group 2); >35 km (group 3).

RESULTS

Our study included in total 408 IBD patients [234 Crohn's disease (CD), 154 ulcerative colitis (UC), 20 IBD unclassified (IBDU)]. Median age was lowest in group 2 at diagnosis (G1: 28 years; G2: 21 years, G3: 26 years, p < 0.01). The diagnostic delay did not differ between groups. CD patients in group 1 were treated more often with anti-tumor necrosis factor (TNF) agents (72% versus 56%, p = 0.04) and 5-aminosalicylates (44% versus 28%, p = 0.04) than in group 3. UC/IBDU patients in group 1 were treated more often with corticosteroids than patients in group 3 (83% versus 58%, p < 0.01). The occurrence of IBD-related surgeries did not differ between groups.

CONCLUSIONS

Patient-to-specialist distance might affect drug treatment. However, disease course and the need for IBD-related surgery does not seem to be associated with a longer distance to specialist care in Switzerland.

Community level socioeconomic status association with surgical outcomes and resource utilisation in a regional cohort: a prospective registry analysis

BACKGROUND

Socioeconomic status affects surgical outcomes, however these factors are not included in clinical quality improvement data and risk models. We performed a prospective registry analysis to determine if the Distressed Communities Index (DCI), a composite socioeconomic ranking by zip code, could predict risk-adjusted surgical outcomes and resource utilisation.

METHODS

All patients undergoing surgery (n=44,451) in a regional quality improvement database (American College of Surgeons-National Surgical Quality Improvement Program ACS-NSQIP) were paired with DCI, ranging from 0-100 (low to high distress) and accounting for unemployment, education level, poverty rate, median income, business growth and housing vacancies. The top quartile of distress was compared to the remainder of the cohort and a mixed effects modeling evaluated ACS-NSQIP risk-adjusted association between DCI and the primary outcomes of surgical complications and resource utilisation.

RESULTS

A total of 9369 (21.1%) patients came from severely distressed communities (DCI >75), who had higher rates of most medical comorbidities as well as transfer status (8.4% vs 4.8%, p<0.0001) resulting in higher ACS-NSQIP predicted risk of any complication (8.0% vs 7.1%, p<0.0001). Patients from severely distressed communities had increased 30-day mortality (1.8% vs 1.4%, p=0.01), postoperative complications (9.8% vs 8.5%, p<0.0001), hospital readmission (7.7 vs 6.8, p<0.0001) and resource utilisation. DCI was independently associated with postoperative complications (OR 1.07, 95% CI 1.04 to 1.10, p<0.0001) as well as resource utilisation after adjusting for ACS-NSQIP predicted risk CONCLUSION: Increasing Distressed Communities Index is associated with increased postoperative complications and resource utilisation even after ACS-NSQIP risk adjustment. These findings demonstrate a disparity in surgical outcomes based on community level socioeconomic factors, highlighting the continued need for public health innovation and policy initiatives.

Relation of Postdischarge Care Fragmentation and Outcomes in Transcatheter Aortic Valve Implantation from the STS/ACC TVT Registry

Fragmented care following elective surgery has been associated with poor outcomes. The association between fragmented care and outcomes in patients undergoing transcatheter aortic valve implantation (TAVI) is unknown. We examined patients who underwent TAVI from 2011 to 2015 at 374 sites in the STS/ACC TVT Registry, linked to Center for Medicare and Medicaid Services claims data. Fragmented care was defined as at least one readmission to a site other than the implanting TAVI center within 90 days after discharge, whereas continuous care was defined as readmission to the same implanting center. We compared adjusted 1-year outcomes, including stroke, bleeding, heart failure, mortality, and all-cause readmission in patients who received fragmented versus continuous care. Among 8,927 patients who received a TAVI between 2011 and 2015, 27.4% were readmitted within 90 days of discharge. Most patients received fragmented care (57.0%). Compared with the continuous care group, the fragmented care group was more likely to have severe chronic lung disease, cerebrovascular disease, and heart failure. States that had lower TAVI volume per Center for Medicare and Medicaid Services population had greater fragmentation. Patients living > 30 minutes from their TAVI center had an increased risk of fragmented care 1.07 (confidence interval [CI] 1.06 to 1.09, p < 0.001). After adjustment for comorbidities and procedural complications, fragmented care was associated with increased 1-year mortality (hazards ratio 1.18, CI 1.04 to 1.35, p = 0.010) and all-cause readmission (hazards ratio 1.08, CI 1.00 to 1.16, p = 0.051. In conclusion, fragmented readmission following TAVI is common, and is associated with increased 1-year mortality and readmission. Efforts to improve coordination of care may improve these outcomes and optimize long-term benefits yielded from TAVI.

Travel distance and regional access to cardiac valve surgery

OBJECTIVE

Evidence in other surgical subspecialties suggests patients traveling farther to undergo surgery have worse outcomes. We sought to determine the impact of travel distance and travel beyond closest center on outcomes after valve surgery.

METHODS

Patients who underwent valve surgery ±CABG with a Society of Thoracic Surgeons (STS) predicted risk and zip code were extracted from a statewide STS database (2011-016). Patients were stratified by those receiving care greater than or equal to 20 miles from the closest surgical center (Traveler) or at the closest center (Non-Traveler). Multivariate logistic regression assessed the effects of travel distance and traveler status on mortality and major morbidity adjusted for STS predicted risk, median income by zip code, and payer status.

RESULTS

Median travel distance for all patients (n = 4765) was 19 miles and after risk-adjustment increasing distance was associated with reduced operative mortality (odds ratio [OR], 0.94 [0.89-1.00], P = .049) with no impact on major morbidity. Travelers (445 patients, 9.3%) had lower median income, higher self-pay and reoperative status, but similar urgent/emergent status and STS risk as Non-Travelers. Travelers had lower operative mortality (1.6% vs 4.3%, P = .005) which remained statistically lower after risk-adjustment (OR, 0.32 [0.14-0.75], P = .009). This mortality difference was particularly pronounced in patients with postoperative complications (3.1% vs 7.9%, P = .005).

CONCLUSIONS

Contrary to other surgical subspecialties, farther travel distance and bypassing the nearest surgical center were associated with lower rates of operative mortality and failure to rescue. Either referral patterns or financials reasons may result in Travelers ending up at high performing centers that prevent escalation of complications.

Geographic Distance From Transplant Center Does Not Impact Pediatric Heart Transplant Outcomes

BACKGROUND

Many pediatric heart transplant recipients live a significant distance from their transplant center. This results in families either traveling long distances or relying on outside physicians to assume aspects of their care. Distance has been implicated to play a role in congenital heart disease outcomes, but its impact on heart transplantation has not been reported. The aim of this study was to assess the impact of distance on pediatric heart transplant outcomes.

METHODS

The Scientific Registry of Transplant Recipients database was queried for all pediatric heart transplant recipients from large US children's hospitals (1987-2014). Patients were stratified into 4 groups (<20, 20-50, 50-100, and >100 miles) based on distance. Survival curves were generated and compared using the log-rank test. Cox proportional hazards regression was performed to adjust for differences between groups.

RESULTS

A total of 4768 patients were included in the analysis, of which 1435 (30.1%) were <20 miles, 940 (19.7%) were 20 to 50 miles, 806 (16.9%) were 50 to 100 miles, and 1587 (33.3%) were >100 miles from their transplant center. There was no difference in posttransplant survival based on distance after adjusting for patient age, gender, ethnicity, blood type, diagnosis, listing status, and the need for pretransplant ventricular assist device, extracorporeal membrane oxygenation, or ventilator support.

CONCLUSION

There is no significant difference in graft survival after pediatric heart transplantation based on patient distance from their transplant center. Our data suggest the current strategy of transitioning some aspects of transplant care to local physicians or management from a distance does not increase posttransplant mortality risk.

Outcomes in Women and Minorities Compared With White Men 1 Year After Everolimus-Eluting Stent Implantation: Insights and Results From the PLATINUM Diversity and PROMUS Element Plus Post-Approval Study Pooled Analysis

Importance

There exist limited outcomes data for women and minorities after contemporary percutaneous coronary intervention (PCI).

Objective

To examine 1-year outcomes in women and minorities vs white men after PCI with everolimus-eluting stents.

Design, Settings, and Participants

The PLATINUM Diversity study was a single-arm study enrolling women and minorities. Patient-level pooling with the PROMUS Element Plus Post-Approval Study was prespecified. Data on social determinants of health and language were collected in the PLATINUM Diversity cohort, which included 1501 patients at 52 US sites. The PROMUS Element Plus Post-Approval study enrolled 2681 patients at 52 US sites with some site overlap and included an "all-comers" population. All patients were enrolled beginning in October 2014 and were followed for 12 months. Analyses began in August 2016.

Interventions

Patients received 1 or more everolimus-eluting stent implantation.

Main Outcomes and Measures

The primary end point was 1-year major adverse cardiac events (MACE), which included death/myocardial infarction (MI)/target vessel revascularization. Secondary ischemic end points were also evaluated.

Results

The pooled study consisted of 4182 patients: 1635 white men (39.1%), 1863 women (white and minority) (44.5%), and 1059 minority patients (women and men) (25.3%). Women and minorities had a higher prevalence of diabetes, prior stroke, hypertension, renal disease, and congestive heart failure than white men but lower rates of multivessel disease, prior coronary artery bypass graft surgery, prior MI, and smoking. Unadjusted 1-year MACE rates (white men, 7.6%; women, 8.6%; minorities, 9.6%) were similar between groups with no significant differences after risk adjustment. The adjusted risk of death/MI was higher among women (odds ratio, 1.6; 95% CI, 1.1-2.4) and minorities (odds ratio, 1.9; 95% CI, 1.2-2.8) compared with white men and the adjusted risk of MI was higher in minorities (odds ratio, 2.6; 95% CI, 1.4-4.8). These differences were driven primarily by nonstent-related MIs. Within the PLATINUM Diversity cohort, the independent predictors of MACE were cardiogenic shock, renal disease, history of peripheral vascular disease, multivessel disease, widowhood, and lack of private insurance.

Conclusions and Relevance

After contemporary everolimus-eluting stent implantation, women and minorities experience a similar risk of 1-year MACE but a higher adjusted risk of recurrent ischemic events primarily because of nonstent-related MIs. Both clinical and angiographic factors and social determinants of health, including widowhood and insurance status, contribute to 1-year MACE among women and minorities.

Access to Quaternary Care Surgery: Implications for Accountable Care Organizations

BACKGROUND

Accountable care organizations (ACOs) attempt to provide the most efficient and effective care to patients within a region. We hypothesized that patients who undergo surgery closer to home have improved survival due to proximity of preoperative and post-discharge care.

STUDY DESIGN

All (17,582) institutional American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) patients with a documented ZIP code and predicted risk, who underwent surgery at our institution (2005 to 2014), were evaluated. Google Maps calculated travel times, and patients were stratified by 1 hour of travel (local vs regional). Multivariable logistic regression and Cox proportional hazard models were used to evaluate the NSQIP risk-adjusted effects of travel time on operative morbidity, mortality, and long-term survival.

RESULTS

Median travel time was 65 minutes, with regional patients demonstrating significantly higher rates of ascites, hypertension, diabetes, disseminated cancer, >10% weight loss, higher American Society of Anesthesiologists (ASA) score, higher predicted risk of morbidity and mortality, and lower functional status (all p < 0.01). After adjusting for ACS NSQIP-predicted risk, travel time was not significantly associated with 30-day mortality (odds ratio [OR] 1.06; p = 0.42) or any major morbidities (all p > 0.05). However, survival analysis demonstrated that travel time is an independent predictor of long-term mortality (OR 1.24; p < 0.001).

CONCLUSIONS

Patients traveling farther for care at a quaternary center had higher rates of comorbidities and predicted risk of complications. Additionally, travel time predicts risk-adjusted long-term mortality, suggesting a major focus of ACOs will need to be integration of care at the periphery of their region.