Watson Health 50 Top Cardiovascular Hospitals Study, 2020 - November 18, 2019
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November 18, 2019 Watson Health 50 Top Cardiovascular Hospitals Study, 2020
IBM Watson Health™ 75 Binney Street Cambridge, MA 02142 800-525-9083 ibm.com/watsonhealth Watson Health 50 Top Cardiovascular Hospitals Study, 2020; 21st edition © 2019 IBM Watson Health. All rights reserved. IBM, the IBM logo, ibm.com, Watson Health, and 100 Top Hospitals are trademarks of International Business Machines Corp., registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. The information contained in this publication is intended to serve as a guide for general comparisons and evaluations, but not as the sole basis upon which any specific conduct is to be recommended or undertaken. The reader bears sole risk and responsibility for any analysis, interpretation, or conclusion based on the information contained in this publication, and IBM shall not be responsible for any errors, misstatements, inaccuracies, or omissions contained herein. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or by any information storage and retrieval system, without permission in writing from IBM Watson Health.
Contents Introduction Each year, IBM Watson Health™ conducts objective, 03 Introduction quantitative research to shine a light on the nation’s highest-performing hospitals, health systems, and 09 This year’s winners cardiovascular service lines, through the Watson 11 Findings Health 100 Top Hospitals® program. The goal of the 23 Methodology program is to deliver unbiased, guiding insights that can help all healthcare organizations focus their 37 Appendix: Methodology details improvement initiatives and move toward consistent, 54 Footnotes sustainable top performance. Organizations do not apply to participate in the study, and award winners do not pay to market their honor. Now, as we have since 1998, we have analyzed public data with our proprietary methodologies to provide the industry with this year’s Watson Health 50 Top Cardiovascular Hospitals study. Like all 100 Top Hospitals program research, this study creates a balanced scorecard of metrics to identify top-performing cardiovascular providers in the United States. But the study is far more than a list. Since our cardiovascular award winners have achieved an outstanding balance of clinical and operational excellence in a complex and changing landscape, we believe their success can help provide a clear and bright path for others to follow. The information contained in our 50 Top Cardiovascular Hospitals study is designed to put impartial, action-driving, and attainable benchmarks in the spotlight for hospital and clinical leaders across the country to leverage as they work to raise their own organizations’ standards of performance. 3
The Watson Health 50 Top Illuminating achievement for a value-based Cardiovascular Hospitals study focuses world on one of healthcare’s most important By finding ways to take clinical and operational service lines that affects hundreds of performance to the next level, the winners of our 50 Top Cardiovascular Hospitals study are identifying thousands of patients’ lives annually opportunities to deliver healthcare value to patients, and adds billions of dollars to our communities, and payers. nation’s overall healthcare costs. Repeatedly, we see that these hospitals lead the cardiovascular healthcare industry, often inspiring the clinicians and staff within their own walls and That’s why publishing new and systems, as well as their peers and competitors, to achievable benchmarks for better understand data and benchmarks, and close performance gaps. cardiovascular service line performance is important and has the potential to It is a kind of leadership that is perhaps becoming make a large and lasting impact on the even more important as the industry continues to transition to a value-based payment environment. quality and cost of care for heart patients across the US. Why cardiovascular hospitals? A 2018 report from the American Heart Association states that about 92.1 million American adults are living with some form of cardiovascular disease or the after-effects of stroke1. Cardiovascular diseases have a significant impact on mortality and cost, accounting for about 2,300 Americans dying each day, an average of 1 death every 38 seconds and costs the United States about $200 billion each year2. In addition, prevalence of cardiovascular disease is expected to increase to a point where approximately 40 percent of the US population will have the disease by 20303. It is no wonder, then, that cardiovascular services are among the highest-profile service lines in healthcare. With the stakes so high, it is important that hospitals provide high-quality, highly efficient cardiac care and that they look for ways to improve. The 50 Top Cardiovascular Hospitals study attempts to answer that need each year. 4
The 50 Top Cardiovascular Hospitals study is also A measure of leadership excellence and its unique for the 100 Top Hospitals program. The effect on service line performance program’s research series publishes only this one clinical service line study. Only the cardiovascular For more than 20 years, the 100 Top Hospitals service line has consistently had both the inpatient program has collaborated with academics on a wide volume and supplemental clinical process metrics range of topics to dig deeper into the leadership from the Centers for Medicare & Medicaid Services practices of the nation’s top healthcare (CMS) Hospital Compare initiative to support the organizations. publication of scorecard-based benchmarks for a As such, the 100 Top Hospitals studies not only service line. And with each annual 50 Top provide a distinctive approach to measuring the Cardiovascular Hospitals study, more is learned, as performance of hospitals, health systems, and the transparency and depth of inpatient and cardiovascular service lines, but also deliver insights continuum-of-care data grow and evolve. into the effectiveness of hospital leadership. Higher composite scores on our national balanced scorecard reflect the effectiveness of the leadership team in Objective, real-world assessment executing both short-term and long-term strategies across the organization. To maintain the study’s level of integrity, only public data sources are used for calculating study metrics. The leadership of today’s hospitals, including the This helps eliminate bias while including as many board, executive team, and medical staff leadership, hospitals as possible, and facilitates consistency of is responsible for ensuring all facets of a hospital and definitions and data. In turn, this allows us to its cardiovascular service line are performing at the produce national norms and benchmarks that are same high level. The 50 Top Cardiovascular Hospitals useful for assessing clinical outcomes and study and analytics provide a view of that enterprise operational efficiency in an objective, independent, performance alignment. And that information can be and meaningful way. In addition, we report rate of helpful in assessing the strategic intersection among improvement compared to peers, which enables cost, quality, efficiency, and community value. clinical leadership and service line management to determine their real-world progress toward consistent top performance within and across the The performance of this year’s cardiovascular patient groups profiled. 50 Top Cardiovascular Hospitals The 50 Top Cardiovascular Hospitals study identifies US hospitals that have achieved the highest performance on a balanced scorecard of performance measures. This year, based on comparisons between the study winners and a peer group of similar hospitals that were not winners, we found that our study winners delivered better outcomes while operating more efficiently and at a lower cost. 5
Compared to nonwinning cardiovascular hospitals, We based this analysis on the Medicare patients this year’s winners had: included in this study. If the same standards were applied to all inpatients, the impact would be even • Significantly higher inpatient survival (28.7% to greater. 47.4% higher) • Fewer patients with complications (6.3% to 27.7% fewer) Trends in cardiovascular care • Higher 30-day survival rates for acute myocardial An analysis of trends in cardiovascular care over the infarction (AMI), and coronary artery bypass five years ending in this study’s data year, revealed: grafting (CABG) patients (0.3 to 0.5 percentage • Readmission rates for AMI and CABG patients points higher)* showed statistically significant improvement in a • Lower readmission rates for AMI, HF, and CABG large percentage of hospitals (38.2% and 49.9% improvement, respectively) patients (0.5 to 0.8 percentage points lower) • HF wage- and severity-adjusted average cost per • Average lengths of stay (ALOS) for CABG patients case also showed statistically significant that were over one day lower than nonwinners and improvement for a large percentage of hospitals on average a half a day lower for AMI, HF, and (32.2%), which was more than twice the percutaneous coronary intervention (PCI)** improvement than in the other patient groups • $1,485 to $6,704 less in total costs per patient • As in our prior study, a majority of hospitals (from case (the smallest dollar-amount difference was 67% to 86%) continue to hold the cost of for HF, and the largest was for CABG) delivering care to AMI, HF, CABG, and PCI patients • Lower average 30-day episode of care payments stable from 2014 to 2018, with no statistically for AMI and HF ($1,323 and $706 less per significant change, at 95% confidence episode, respectively) Further, our study indicated that if all cardiovascular Additional findings hospitals performed at the same level of this year’s winners: For more details about the 50 Top Cardiovascular Hospitals study findings, including complete hospital • More than 11,000 additional lives could be saved reporting data on this year’s winning cardiovascular hospitals, please see the Findings section of this • More than 2,800 heart patients could be document. complication-free • Over $1.5 billion could be saved * An AMI is a heart attack, which happens when the arteries leading to the heart become blocked and blood supply is slowed or stopped. Heart failure is a weakening of the heart's pumping power, leading to the body not receiving enough oxygen and nutrients to work properly. A CABG is a type of surgery that improves blood flow to the heart by moving or redirecting a blood vessel to bypass blockages. ** A PCI is a procedure that uses a small stent to open up blood vessels in the heart that have narrowed from a buildup of plaque. 6
Study integrity The value of 50 Top Cardiovascular Hospitals Organizations are included in the 100 Top Hospitals® benchmarks program studies based solely on availability of data from Medicare and meeting criteria listed in the methodology section, without regard to whether they • To improve performance, cardiovascular hospital leaders need are a client. They do not apply to be included in the objective information about what is studies, nor do winners pay to promote their award. achievable. They need relevant benchmarks that allow them to To uphold the integrity of the study, it is the policy of compare their performance to peers IBM Watson Health to revoke a 100 Top Hospitals and top-performing organizations. award if hospital data is found to be inaccurate or misleading for any 100 Top Hospitals data source. • By naming the 50 Top Cardiovascular Hospitals in the At the sole discretion of IBM Watson Health, the nation, the 100 Top Hospitals circumstances under which a 100 Top Hospitals program provides hospital executives, physicians, and award could be revoked include, but are not limited cardiovascular service line managers to: with practical targets for raising • Inaccurate data performance. • Agency investigations or sanctions • Information in this study, and in separate hospital-specific reports, provides performance levels to We welcome your input reach for, with detailed analysis of Since 1993, the 100 Top Hospitals program has how the winners and their worked to ensure that the measures and nonwinning peers performed on the methodologies used are fair, consistent, and study’s balanced scorecard of meaningful. We continually test the validity of our measures. performance measures and data sources. In addition, as part of our internal performance improvement process, we welcome comments about our study from health systems, hospitals, and physicians. To submit comments, visit the Contact Us section of 100tophospitals.com. 7
More about the 100 Top Hospitals program About IBM Watson Health The 50 Top Cardiovascular Hospitals research is one Watson Health aspires to improve lives and give hope of several studies of the Watson Health 100 Top by delivering innovation to address the world’s most Hospitals program. To increase understanding of pressing health challenges through data and trends in specific areas of the healthcare industry, the cognitive insights. program includes a range of studies and reports: Each day, professionals make powerful progress • 100 Top Hospitals and Everest Award studies toward a healthier future. In an industry that is Research that annually recognizes the 100 top- fragmented and complex, there are many rated hospitals in the nation based on a opportunities to support professionals as they work proprietary, balanced scorecard of overall toward their goals to simplify, solve, care or cure, so organizational performance and also identifies they can transform health for the people they serve. those hospitals that excel at long-term rates of At Watson Health, we see and work across the health improvement in addition to performance. landscape, from payers and providers to government • 50 Top Cardiovascular Hospitals study and life sciences. With an unrivaled vantage point An annual study identifying hospitals that across the industry, deep health expertise, and the demonstrate the highest performance in hospital power of cognitive computing, we create intelligent cardiovascular services. connections that shape new ways of working, drive value, and accelerate breakthroughs. • 15 Top Health Systems study An annual study introduced in 2009 that provides With Watson Health at work in their organizations, an objective measure of health system our clients can uncover, connect, and act on the performance overall and offers insight into the insights that advance their work, and change the ability of a system’s member hospitals to deliver world. consistent top performance across the For more information about IBM Watson Health, visit communities they serve, all based on our national ibm.com/ watson/health. health system scorecard. • 100 Top Hospitals Performance Matrix A two-dimensional analysis, available for nearly all US hospitals, that provides a view of how long- term improvement and resultant current performance compare with national peers. • Custom benchmark reports A variety of reports designed to help healthcare executives understand how their organizational performance compares to peers within health systems, states, and markets. You can read more about these studies and see lists of all winners by visiting 100tophospitals.com. 8
The Watson Health 50 Top Teaching hospitals with cardiovascular residency programs* Medicare Cardiovascular Hospitals, 2020 Hospitals Location ID Beaumont Hospital - Troy Troy, MI 230269 The Watson Health™ 100 Top Hospitals® program is Guthrie Robert Packer Hospital Sayre, PA 390079 pleased to present the 2020 Watson Health 50 Top Huntington Hospital Pasadena, CA 050438 Kettering Medical Center Kettering, OH 360079 Cardiovascular Hospitals. Lahey Hospital & Medical Center Burlington, MA 220171 Lankenau Medical Center Wynnewood, PA 390195 We stratified winners by three separate peer groups: Mayo Clinic Hospital - Saint Marys Hospital Rochester, MN 240010 teaching hospitals with cardiovascular residency OhioHealth Riverside Methodist Hospital Columbus, OH 360006 programs, teaching hospitals without cardiovascular St. Vincent Indianapolis Hospital Indianapolis, IN 150084 Summa Akron City Hospital Akron, OH 360020 residency** programs, and community hospitals UAB Hospital Birmingham, AL 010033 UNC Rex Healthcare Raleigh, NC 340114 Please note that the order of hospitals in the University Hospital Madison, WI 520098 following tables does not reflect performance rating. Virtua Our Lady of Lourdes Hospital Camden, NJ 310029 Hospitals are ordered alphabetically. For full details WakeMed Raleigh Campus Raleigh, NC 340069 on these peer groups and the process we used to select the winning benchmark hospitals, please see the Methodology section of this document. * Order of hospitals does not reflect performance rating. Hospitals are ordered alphabetically. ** Throughout this document where we refer to ‘cardiovascular residency programs,’ we are including cardiovascular fellowship programs as well. Please refer to the Methodology section of this document for a complete list of cardiovascular residency and fellowship programs that are used to classify hospitals. 9
Teaching hospitals without cardiovascular residency programs* Medicare Hospitals Location ID Aspirus Wausau Hospital Wausau, WI 520030 Baylor Scott & White Medical Center - Hillcrest Waco, TX 450101 CHRISTUS St. Michael Health System Texarkana, TX 450801 Halifax Health Medical Center Daytona Beach, FL 100017 Holston Valley Medical Center Kingsport, TN 440017 Lee Memorial Hospital/HealthPark Medical Center Fort Myers, FL 100012 (LMH/HPMC) MacNeal Hospital Berwyn, IL 140054 Mercy General Hospital Sacramento, CA 050017 MercyOne Des Moines Medical Center Des Moines, IA 160083 Mission Hospital Asheville, NC 340002 MultiCare Tacome General Hospital Tacoma, WA 500129 North Mississippi Medical Center Tupelo, MS 250004 PIH Health Hospital - Whittier Whittier, CA 050169 Sacred Heart Hospital Pensacola, FL 100025 St. Joseph Mercy Ann Arbor Ann Arbor, MI 230156 Community hospitals* Medicare Hospitals Location ID Asante Rogue Regional Medical Center Medford, OR 380018 Baylor Scott & White Medical Center - Round Rock Round Rock, TX 670034 Bellin Health Green Bay, WI 520049 Carolinas Medical Center Mercy-Pineville Charlotte, NC 340098 Columbus Regional Hospital Columbus, IN 150112 Doylestown Hospital Doylestown, PA 390203 Eastern Idaho Regional Medical Center Idaho Falls, ID 130018 Harlingen Medical Center Harlingen, TX 450855 Fredericksburg, Mary Washington Hospital 490022 VA McLaren Northern Michigan Hospital Petoskey, MI 230105 Saint Mary's Regional Medical Center Reno, NV 290009 Salem Hospital Salem, OR 380051 San Antonio Regional Hospital Upland, CA 050099 Sentara RMH Medical Center Harrisonburg, VA 490004 Shasta Regional Medical Center Redding, CA 050764 St. David's Medical Center Austin, TX 450431 St. Vincent Heart Center of Indiana Indianapolis, IN 150153 Thibodaux Regional Medical Center Thibodaux, LA 190004 University of Maryland St. Joseph Medical Center Towson, MD 210063 Wake Forest Baptist Health High Point Medical High Point, NC 340004 Center * Order of hospitals does not reflect performance rating. Hospitals are ordered alphabetically. 10
Findings • The 2020 cardiovascular study winners had 27.7% and 6.3% lower complications observed- This year’s Watson Health™ 50 Top Cardiovascular to-expected index values for CABG and PCI, Hospitals provided better clinical care and were more respectively, when compared to their peers. efficient than their peers. If all United States • Long-term outcomes were better at winning hospitals’ cardiovascular service lines performed at hospitals, with the exception of Heart Failure (HF) the level of these study winners, more than 11,000 30-day mortality, for which winning hospitals had additional lives and over $1.5 billion could be saved, a slightly higher median rate than nonwinners and nearly 2,800 additional bypass and angioplasty (11.4% v. 11.3%). patients could be complication-free. • 30-day heart attack (AMI) and CABG mortality These findings are based on the Medicare patient rates were all lower among winning hospitals than data included in this study and analysis of study peers, meaning a smaller percentage of patients winners versus nonwinners. If the same standards died, of any cause, within 30 days after inpatient were applied broadly to all inpatients, the impact admission. The difference was greatest among AMI patients, with a 30-day mortality rate of would be even greater. 12.2% for winners versus 12.7% for nonwinners. One of the goals of the Watson Health 100 Top • The winning hospitals also had lower readmission Hospitals® program is to provide action-driving rates, with a smaller percentage of patients benchmarks that can help all hospitals improve their returning to the hospital, for any cause, within 30 performance. This section highlights winner days of discharge. AMI and CABG patient (benchmark) versus nonwinner differences in all readmissions showed the same difference, with study hospitals as a group and by hospital type rates of 14.9% and 12%, respectively, which was (residency program and teaching status). nearly a full percentage point better than nonwinning peers. Benchmark hospitals outperformed peers • Winning hospitals were more efficient, releasing Comparisons between this year’s 50 Top patients sooner than their peers. The typical Cardiovascular Hospitals and their peers showed that winning hospital released CABG patients more room for improvement still exists (See Table 1). than a full day (1.2) earlier, and in this year’s study results, AMI, HF, and PCI patients were released • Survival rates were markedly better at benchmark 0.5 – 0.6 days sooner than patients getting care at (winning) hospitals, particularly for patients nonwinning peers. receiving coronary artery bypass graft surgeries (CABGs). The median benchmark hospital had a • The 50 Top Cardiovascular Hospitals maintained risk-adjusted CABG inpatient mortality index of high clinical performance while keeping inpatient 0.5, meaning there were 50% fewer deaths than costs lower. The typical winning hospital spent about $6,700 less per CABG patient and $2,900 would be expected, given patient severity. With an less per PCI case. index of 0.95, peer (nonwinning) hospitals had only 5% fewer CABG deaths than expected. • Benchmark hospitals also showed stronger performance on measures of total Medicare claims • Notably, in the 2020 CABG patient group we also payment across 30-day episodes of care for AMI saw the most pronounced difference in severity- and HF patients ($1,323 less per AMI episode and and wage-adjusted cost per case, with winners $706 less per HF episode) compared to having an average cost of $35,197, versus peers at nonwinning peers. $41,901 – a difference of over $6,000. 11
Table 1: National performance comparisons (all hospitals in study) Benchmark compared with peer group Benchmark Peer Performance measure How winning benchmark median median Percent Difference hospitals outperform difference nonwinning peer hospitals AMI mortality 0.72 1.01 -0.29 -28.7 Lower mortality HF mortality 0.67 1.01 -0.34 -33.7 Lower mortality Risk-adjusted mortality index CABG mortality 0.50 0.95 -0.45 -47.4 Lower mortality Clinical outcome measuresa PCI mortality 0.68 1.00 -0.32 -32.0 Lower mortality CABG complications 0.68 0.94 -0.26 -27.7 Fewer complications Risk-adjusted complications index PCI complications 0.89 0.95 -0.06 -6.3 Fewer complications Clinical process CABG patients with internal mammary artery (IMA) 97.8 95.9 2.0 n/a Higher IMA use measuresa,c use (%) AMI 30-day mortality (%) 12.2 12.7 -0.5 n/a Lower 30-day mortality HF 30-day mortality (%) 11.4 11.3 0.1 n/a Higher 30-day mortality CABG 30-day mortality (%) 2.7 3.0 -0.3 n/a Lower 30-day mortality Extended outcome measuresb,c AMI 30-day readmission (%) 14.9 15.7 -0.8 n/a Fewer 30-day readmissions HF 30-day readmission (%) 20.8 21.3 -0.5 n/a Fewer 30-day readmissions CABG 30-day readmission (%) 12.0 12.8 -0.8 n/a Fewer 30-day readmissions AMI severity-adjusted average length of stay (ALOS) 3.7 4.1 -0.5 -11.2 Shorter ALOS Process efficiency HF severity-adjusted ALOS 4.3 4.9 -0.6 -11.8 Shorter ALOS CABG severity-adjusted ALOS 8.1 9.2 -1.2 -12.6 Shorter ALOS PCI severity-adjusted ALOS 3.2 3.6 -0.5 -12.5 Shorter ALOS AMI wage- and severity-adjusted average cost per $8,339 $9,974 -$1,635 -16.4 Lower cost per case case HF wage- and severity-adjusted average cost per $8,055 $9,540 -$1,485 -15.6 Lower cost per case case Cost efficiency CABG wage- and severity-adjusted average cost per $35,197 $41,901 -$6,704 -16.0 Lower cost per case case PCI wage- and severity-adjusted average cost per $15,511 $18,432 -$2,921 -15.8 Lower cost per case case AMI 30-day episode payment $23,671 $24,994 -$1,323.50 -5.3 Lower 30-day payment Extended efficiency HF 30-day episdoe payment $17,079 $17,785 -$706.50 -4.0 measuresb Lower 30-day payment a. Medicare Provider Analysis and Review (MEDPAR) 2017 and 2018, combined b. CMS Hospital Compare July 1, 2015 – June 30, 2018 c. We do not calculate percentage difference for measures already expressed as a percent 12
Better performance at benchmark teaching • Unlike last year’s results, winners performed hospitals with cardiovascular residency better than the nonwinning group on all 30-day programs mortality and readmission measures, with the greatest difference in the HF 30-day readmission Teaching hospitals with specialized cardiovascular rate (1.0 percentage point lower, 20.5% versus residency and fellowship programs are generally 21.5%). The difference between winners and believed to treat more complex patients, have a more national peers on the CABG 30-day readmission complex staffing mix, and incur higher costs than measure was similar, at 0.8 percentage points community hospitals and those without specific lower (11.9% versus 12.7%). cardiovascular teaching programs. Evaluating performance among teaching hospitals with • Medicare 30-day episode payment measures cardiovascular programs as a unique group helps to showed AMI patients at winning cardiovascular produce valid quantitative comparisons. (See Table teaching hospitals having the greatest difference 2.) between winner and nonwinner performance among all three comparison groups. At winning • Continuing to set the standard bar at a very high cardiovascular teaching hospitals, 30-day AMI mark, cardiovascular teaching winners’ inpatient payments were 5.9% less than those at nonwinner mortality rates were 54% and 34% lower than peer hospitals ($23,480 versus $24,962). peers for CABG and PCI patients, respectively. • These benchmark hospitals were also leaders for treating PCI patients (6.5% fewer complications than peers). However their superior performance did not extend to CABG patients where nonwinning hospitals outperformed with 2% fewer complications. • Cardiovascular teaching benchmark hospitals were also much more efficient than their peers, with severity-adjusted costs among all patient groups being on average almost 14% lower than costs calculated for peer facilities. The greatest absolute difference in cost was found for CABG patients at $4,196 less per bypass surgery case. In addition, winners had 13% lower cost per case for HF patients and about 17% lower cost for both AMI and PCI inpatients. 13
Table 2: Performance comparisons for teaching hospitals with cardiovascular residency programs Benchmark compared with peer group Benchmark Peer Performance measure How winning benchmark median median Difference Percent difference hospitals outperform nonwinning peer hospitals AMI mortality 0.76 1.01 -0.25 -24.8 Lower mortality Risk-adjusted HF mortality 0.82 0.97 -0.15 -15.5 Lower mortality mortality index CABG mortality 0.44 0.96 -0.52 -54.2 Lower mortality Clinical outcome measuresa PCI mortality 0.68 1.03 -0.35 -34.0 Lower mortality Risk-adjusted CABG complications 0.95 0.93 0.02 2.2 More complications complications index PCI complications 0.87 0.93 -0.06 -6.5 Fewer complications Clinical process CABG patients with internal mammary artery 97.9 96.8 1.1 n/a Higher IMA use measuresa,c (IMA) use (%) AMI 30-day mortality (%) 11.8 12.4 -0.6 n/a Lower 30-day mortality HF 30-day mortality (%) 10.1 10.5 -0.4 n/a Lower 30-day mortality CABG 30-day mortality (%) 2.4 2.8 -0.4 n/a Lower 30-day mortality Extended outcome Fewer 30-day measuresb,c AMI 30-day readmission (%) 15.0 15.7 -0.7 n/a readmissions Fewer 30-day HF 30-day readmission (%) 20.5 21.5 -1.0 n/a readmissions Fewer 30-day CABG 30-day readmission (%) 11.9 12.7 -0.8 n/a readmissions AMI severity-adjusted average length of stay 3.7 4.1 -0.4 -10.5 Shorter ALOS (ALOS) HF severity-adjusted ALOS 4.3 5.0 -0.7 -13.8 Shorter ALOS Process efficiency CABG severity-adjusted ALOS 8.5 9.1 -0.6 -7.0 Shorter ALOS PCI severity-adjusted ALOS 3.1 3.7 -0.6 -15.8 Shorter ALOS AMI wage- and severity-adjusted average cost $8,130 $9,775 -$1,646 -16.8 Lower cost per case per case HF wage- and severity-adjusted average cost $8,302 $9,529 -$1,228 -12.9 Lower cost per case per case Cost efficiency CABG wage- and severity-adjusted average $37,154 $41,350 -$4,196 -10.1 Lower cost per case cost per case PCI wage- and severity-adjusted average cost $15,668 $18,837 -$3,169 -16.8 Lower cost per case per case AMI 30-day episode payment $23,480 $24,962 -$1,482 -5.9 Lower 30-day payment Extended efficiency measuresb HF 30-day episdoe payment $17,104 $17,892 -$788 -4.4 Lower 30-day payment a. Medicare Provider Analysis and Review (MEDPAR) 2017 and 2018, combined b. CMS Hospital Compare July 1, 2015 – June 30, 2018 c. We do not calculate percentage difference for measures already expressed as a percent 14
Better performance at benchmark teaching • The greatest difference between winning and hospitals without cardiovascular teaching nonwinning hospitals in the extended outcome programs measures was found in the 30-day readmission measure for CABG patients where there was Winning teaching hospitals without cardiovascular nearly a full percentage point difference (0.9) with teaching programs were much more efficient than rates of 11.8% versus 12.7%. their peers, with large differences found in a number of measures. (See Table 3.) • On the Medicare 30-day episode payment measures, winning teaching hospitals without • This difference was most notable in the inpatient cardiovascular residency programs outperformed mortality measure across all patient groups, with their peers, with lower median AMI and HF 30-day HF and CABG showing the greatest differences payment values (1.1% and 3.2% lower, between winning and nonwinning hospitals: HF respectively). with 43.6% fewer deaths and CABG with 52% fewer. There were two measures in which nonwinning hospitals outperformed the winning hospitals: PCI • These benchmark hospitals also treated AMI, HF, complications and HF 30-day mortality. Most CABG, and PCI cases at a lower cost, 19.2%, noticeable is the difference found in performance on 28.8%, 20.1% and 14.5% less, respectively, the PCI complications index: Peer hospitals did saving $8,473 per CABG case and $1,967 per AMI better than benchmark hospitals by a margin of 26%, case. with a median index value of 0.94 compared to 1.19 • Most 30-day extended outcome measures were among winners. also better at winning teaching hospitals without cardiovascular teaching programs, with winners having median AMI and CABG 30-day mortality rates 0.4 and 0.5 percentage points lower than those of peers (AMI – 12.5% v. 12.9%, CABG – 2.6% v. 3.1%). 15
Table 3: Performance comparisons for teaching hospitals without cardiovascular residency programs Benchmark compared with peer group Benchmark Peer How winning Performance measure benchmark hospitals median median Difference Percent difference outperform nonwinning peer hospitals AMI mortality 0.73 1.01 -0.28 -27.7 Lower mortality Risk-adjusted HF mortality 0.57 1.01 -0.44 -43.6 Lower mortality mortality index CABG mortality 0.48 1.00 -0.52 -52.0 Lower mortality Clinical outcome measuresa PCI mortality 0.65 0.97 -0.32 -33.0 Lower mortality CABG complications 0.92 0.94 -0.02 -2.1 Fewer complications Risk-adjusted complications index PCI complications 1.19 0.94 0.25 26.6 More complications Clinical process CABG patients with internal mammary artery 97.4 95.8 1.7 n/a Higher IMA use measuresa,c (IMA) use (%) AMI 30-day mortality (%) 12.5 12.9 -0.4 n/a Lower 30-day mortality HF 30-day mortality (%) 11.6 11.5 0.1 n/a Higher 30-day mortality CABG 30-day mortality (%) 2.6 3.1 -0.5 n/a Lower 30-day mortality Extended outcome Fewer 30-day measuresb,c AMI 30-day readmission (%) 14.9 15.5 -0.6 n/a readmissions Fewer 30-day HF 30-day readmission (%) 21.2 21.3 -0.1 n/a readmissions Fewer 30-day CABG 30-day readmission (%) 11.8 12.7 -0.9 n/a readmissions AMI severity-adjusted average length of stay 3.8 4.2 -0.5 -10.7 Shorter ALOS (ALOS) HF severity-adjusted ALOS 4.4 5.0 -0.6 -12.2 Shorter ALOS Process efficiency CABG severity-adjusted ALOS 8.1 9.3 -1.2 -12.4 Shorter ALOS PCI severity-adjusted ALOS 3.1 3.6 -0.5 -13.9 Shorter ALOS AMI wage- and severity-adjusted average cost $8,267 $10,234 -$1,967 -19.2 Lower cost per case per case HF wage- and severity-adjusted average cost $6,998 $9,834 -$2,836 -28.8 Lower cost per case per case Cost efficiency CABG wage- and severity-adjusted average $33,656 $42,129 -$8,473 -20.1 Lower cost per case cost per case PCI wage- and severity-adjusted average cost $15,646 $18,310 -$2,663 -14.5 Lower cost per case per case AMI 30-day episode payment $24,430 $24,691 -$261 -1.1 Lower 30-day payment Extended efficiency HF 30-day episdoe payment $17,137 $17,696 -$559 -3.2 measuresb Lower 30-day payment a. Medicare Provider Analysis and Review (MEDPAR) 2017 and 2018, combined b. CMS Hospital Compare July 1, 2015 – June 30, 2018 c. We do not calculate percentage difference for measures already expressed as a percent 16
Better performance at benchmark community hospitals Benchmark community hospitals again outperformed their peers on the inpatient risk-adjusted mortality measure, with the most observable performance difference being in the CABG patient group. Winning community hospitals had a median risk-adjusted mortality index value of 0.50, compared to the median index value of 0.91 at peer hospitals (a 45.1% gap, with fewer patients dying at hospitals named winners). (See Table 4.) • The winning community hospitals were also much more efficient than their peers. They discharged CABG patients almost a day and a half sooner (1.4), HF patients almost a day sooner (0.9) and AMI patients a half a day sooner (0.5). • Cost-per-case medians in all patient groups were also much lower for benchmark community hospitals, with the largest difference, in both absolute and percentage terms (23% less), being observed for CABG patients, at $9,642 less per case than peer hospitals. • Notably, benchmark community hospitals had the most marked contrast in performance between winning and nonwinning hospitals on the risk- adjusted complications measure for both CABG and PCI patients, with a median observed-to- expected ratio for winners at 0.60, versus 0.99 for nonwinning peers in the CABG patient group (a difference of 39%), and a median observed-to- expected ratio for winners at 0.67, versus 0.98 for nonwinners in the PCI patient group (a difference of 31%). 17
Table 4: Performance comparisons for community hospitals Benchmark compared with peer group Benchmark Peer How winning Performance measure benchmark hospitals median median Difference Percent difference outperform nonwinning peer hospitals AMI mortality 0.69 0.98 -0.29 -29.6 Lower mortality Risk-adjusted HF mortality 0.66 1.02 -0.36 -35.3 Lower mortality mortality index CABG mortality 0.50 0.91 -0.41 -45.1 Lower mortality Clinical outcome measuresa PCI mortality 0.73 1.00 -0.27 -27.0 Lower mortality CABG complications 0.60 0.99 -0.39 -39.4 Fewer complications Risk-adjusted complications index PCI complications 0.67 0.98 -0.31 -31.6 Fewer complications Clinical process CABG patients with internal mammary artery 98.1 95.5 2.6 n/a Higher IMA use measuresa,c (IMA) use (%) AMI 30-day mortality (%) 12.3 12.7 -0.4 n/a Lower 30-day mortality HF 30-day mortality (%) 11.3 11.6 -0.4 n/a Lower 30-day mortality CABG 30-day mortality (%) 2.8 3.1 -0.4 n/a Lower 30-day mortality Extended outcome measuresb,c AMI 30-day readmission (%) 14.8 15.6 -0.9 n/a Fewer 30-day readmissions HF 30-day readmission (%) 20.4 21.3 -0.9 n/a Fewer 30-day readmissions CABG 30-day readmission (%) 12.4 13.0 -0.6 n/a Fewer 30-day readmissions AMI severity-adjusted average length of stay 3.7 4.1 -0.5 -11.1 Shorter ALOS (ALOS) HF severity-adjusted ALOS 4.2 5.0 -0.9 -17.5 Shorter ALOS Process efficiency CABG severity-adjusted ALOS 7.9 9.3 -1.4 -14.8 Shorter ALOS PCI severity-adjusted ALOS 3.3 3.6 -0.3 -8.9 Shorter ALOS AMI wage- and severity-adjusted average cost $8,392 $10,033 -$1,641 -16.4 Lower cost per case per case HF wage- and severity-adjusted average cost $8,158 $9,574 -$1,415 -14.8 Lower cost per case per case Cost efficiency CABG wage- and severity-adjusted average cost $32,295 $41,937 -$9,642 -23.0 Lower cost per case per case PCI wage- and severity-adjusted average cost $15,291 $18,126 -$2,835 -15.6 Lower cost per case per case AMI 30-day episode payment $23,825 $25,179 -$1,354 -5.4 Lower 30-day payment Extended efficiency HF 30-day episdoe payment $16,913 $17,794 -$881 -5.0 measuresb Lower 30-day payment a. Medicare Provider Analysis and Review (MEDPAR) 2017 and 2018, combined b. CMS Hospital Compare July 1, 2015 – June 30, 2018 c. We do not calculate percentage difference for measures already expressed as a percent 18
Additional measures for informational The measures report the difference (“excess”) purposes between each hospital’s average days in acute care (“predicted days”) and the number of days in acute Every year, we publish new measures that may be of care that each hospital’s patients would have been interest to the leaders of hospitals and health expected to spend if discharged from an average- systems. For this study edition, we continue to performing hospital (“expected days”). publish 30-day excess days in acute care (EDAC) measures for AMI and HF patients. These The measure is reported as excess days per 100 performance measures, along with the existing discharges. ranked extended care measures, 30-day mortality, Comparing benchmark hospitals and peers on this readmission and episode of payment, offer health measure yields interesting results, as shown in Table care leaders an additional insight into the 5 on the following page. performance of hospitals across the continuum of care. If you would like to provide feedback on these • The benchmark median EDAC score for AMI informational measures, please email patients was 9.4 days less than the peer EDAC 100tophospitals@us.ibm.com. score, at -3.7 versus 5.7 for nonwinning hospitals. 30-day excess days in acute care (heart attack [AMI] • The benchmark median EDAC score for HF and heart failure [HF]) patients was 9.8 days less than the peer EDAC score, at -1.5 versus 8.3 for nonwinning hospitals. In this study, we have profiled performance, for information only, on the relatively new Centers for Medicare & Medicaid Services (CMS) excess days in acute care (EDAC) measures: 1. 30-day EDAC for AMI patients 2. 30-day EDAC for HF patients As defined by CMS5, the EDAC measures capture excess days that a hospital’s patients spent in acute care within 30 days after discharge. These measures summarize the number of risk-adjusted days a hospital’s patients spend in an emergency department (ED), a hospital observation unit, or a hospital inpatient unit during 30 days following a hospitalization for AMI or HF. 19
Table 5: National performance comparisons for excess days in acute care (all hospitals in study) Benchmark compared with peer group Benchma Peer Performance measure rk How benchmark median Differenc median Percent difference hospitals differ from e peer hospitals AMI 30-day excess days in acute -3.4 6.0 -9.4 n/a Fewer days in acute care carec a,b Extended efficiency measures HF 30-day excess days in acute -1.5 8.3 -9.8 n/a Fewer days in acute care carec a. CMS Hospital Compare July 1, 2015 − June 30, 2018 b. We do not calculate percentage difference for measures already expressed as a percent c. Reported as excess days per 100 discharges Trends in cardiovascular care • A healthy proportion of hospitals significantly improved their 30-day readmission rates for AMI Again in this edition of the 50 Top Cardiovascular and CABG (38.2% and 49.9 %, respectively). Hospitals study, we are presenting new findings on trends in cardiovascular care delivered in the nation’s • 34.5% of all hospitals significantly improved on teaching and community hospitals. Our intent is to the AMI 30-day mortality measure, between provide healthcare leaders with new insights by 2014-2018. showing the direction and magnitude of change in • In 32.2% of all hospitals, heart failure cost per key cardiovascular care performance indicators, case statistically decreased, between 2014- 2018. between 2014 and 2018. However, there were a few notable declines in All measures are being trended using five (5) years of performance over time that should also be pointed data, with data periods ending in 2014, 2015, 2016, out. (See the right gray column in Table 6): 2017, and 2018. • PCI cost per case statistically increased in 15.3% of all hospitals. Performance improvement over time: All hospitals • AMI and HF 30-day episode of payment By studying the direction of performance change of statistically worsened, or increased, in 50.8% and all hospitals eligible for our study (winners and 52.2%, respectively, of all in-study hospitals. nonwinners), we can see that US hospitals have not been able to significantly improve performance across the entire 50 Top Cardiovascular Hospitals balanced scorecard: In the majority of measures (17 of 23), 71% or more of all in-study hospitals saw no statistically significant change on any of the scorecard measures. (See Table 6.) However, over the years we studied there were a few notable performance improvements for specific measures, especially those extending beyond the acute inpatient stay. (See the green left column in Table 6.) 20
Table 6: Direction of performance change for all cardiovascular hospitals in study, 2014 - 2018 Significantly improving No statistically significant Significantly declining performance change in performance performance Performance measure Count of Percent of Count of Percent of Count of Percent of hospitals1 hospitals2 hospitals1 hospitals2 hospitals1 hospitals2 AMI mortality 10 1.0% 899 94.2% 45 4.7% HF mortality 10 1.0% 901 94.4% 43 4.5% Risk-adjusted mortality index CABG mortality 19 2.0% 923 96.8% 12 1.3% PCI mortality 16 1.7% 905 94.9% 33 3.5% CABG complications 30 3.1% 895 93.8% 29 3.0% Risk-adjusted complications index PCI complications 15 1.6% 896 93.9% 43 4.5% CABG patients with internal mammary artery (IMA) use 143 15.0% 730 76.8% 78 8.2% AMI 30-day mortality 329 34.5% 607 63.6% 18 1.9% HF 30-day mortality 139 14.6% 745 78.1% 70 7.3% CABG 30-day mortality 129 13.5% 753 79.0% 71 7.5% AMI 30-day readmission 364 38.2% 567 59.4% 23 2.4% HF 30-day readmission 178 18.7% 684 71.7% 92 9.6% CABG 30-day readmission 476 49.9% 472 49.5% 6 0.6% AMI severity-adjusted average length of stay (ALOS) 47 4.9% 871 91.3% 36 3.8% HF severity-adjusted ALOS 136 14.3% 780 81.8% 38 4.0% CABG severity-adjusted ALOS 44 4.6% 857 89.8% 53 5.6% PCI severity-adjusted ALOS 156 16.4% 794 83.2% 4 0.4% AMI wage- and severity-adjusted average cost per case 122 12.8% 818 86.0% 11 1.2% HF wage- and severity-adjusted average cost per case 306 32.2% 637 67.1% 7 0.7% CABG wage- and severity-adjusted average cost per case 85 9.0% 800 84.3% 64 6.7% PCI wage- and severity-adjusted average cost per case 10 1.1% 795 83.7% 145 15.3% AMI 30-day episode of payment 8 0.8% 461 48.3% 485 50.8% HF 30-day episode of payment 11 1.2% 445 46.6% 498 52.2% 1. Count refers to the number of in-study hospitals whose performance fell into the highlighted categor for the measure. 2. Percent is calculated by dividing the 'count' by the total in-study hospitals cacross all comparison groups. Note: Total number of hospitals included in the analysis can vary by measure due to exclusion of IQR outlier data points, causing some in-study hospitals to have too few remaining data points to calculate trend. This affects the Cost per Case measures. 21
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Methodology Building the database of hospitals The Watson Health™ 50 Top Cardiovascular Hospitals study is based on quantitative research that uses a Like all Watson Health 100 Top Hospitals® studies, the 50 Top Cardiovascular Hospitals study uses only balanced scorecard approach, based on publicly publicly available data. The data come from: available data, to identify the top cardiovascular hospitals in the US. This study focuses on short-term, • Medicare Provider Analysis and Review (MEDPAR) acute care, nonfederal US hospitals that treat a broad data set spectrum of cardiology patients. It includes patients requiring medical management, as well as those who • Centers for Medicare & Medicaid Services (CMS) receive invasive or surgical procedures. Because Hospital Compare data set multiple measures are used, a hospital must provide • Medicare Cost Reports all forms of cardiovascular care, including open heart surgery, to be included in the study. We use MEDPAR patient-level record information to calculate inpatient mortality, complications, and length of stay (LOS). MEDPAR is also used for patient- Overview level charge data in estimating average cost per case. This data set contains information on approximately The main steps used in the selection of the 50 Top 15 million Medicare patients who are discharged Cardiovascular Hospitals study winners are: from the nation’s acute care hospitals annually. • Building the database of hospitals, including Six years of MEDPAR data are used to develop the special selection and exclusion criteria study trend database The two most recent years of MEDPAR data available are used to identify current • Classifying hospitals into comparison groups performance and to select the winning hospitals. To • Scoring hospitals on a set of weighted be included in the study, a hospital must have both performance measures years of data available, with valid present-on- admission (POA) coding. • Determining the 50 hospitals with the best overall performance by ranking relative to like We use Medicare Cost Reports to create our comparison groups proprietary database, which contains hospital- specific demographic information and hospital- The following section is intended to be an overview of specific, all-payer cost and charge data. The hospital these steps. To request more detailed information on cost-to-charge ratios are applied to MEDPAR patient- any of the study concepts outlined here, please email level claims data to estimate cost for the study’s cost us at 100tophospitals@us.ibm.com or call 800-525- measures. This is done at the cost-center and 9083. charge-code levels for each patient record 23
The Medicare Cost Report is filed annually by every We reference residency and fellowship program US hospital that participates in the Medicare information from the Accreditation Council for program. Hospitals are required to submit cost Graduate Medical Education (ACGME) and the reports to receive reimbursement from Medicare. It American Osteopathic Association (AOA) to classify should be noted, however, that cost report data teaching hospitals. Participation in a cardiovascular includes services for all patients, not just Medicare fellowship program is identified and confirmed using beneficiaries. the sources listed below. • Electronic Residency Application Services (ERAS), The 100 Top Hospitals program and many others in a program of the Association of American Medical the healthcare industry have used the MEDPAR and Colleges (AAMC) Medicare Cost Report databases for years. We • ACGME website believe they are accurate and reliable sources for the • AOA Office of Graduate Medical Education (OGME) types of analyses performed in this study. Medicare website data is highly representative of the cardiovascular • Medical college websites patients included in this study. In fact, Medicare • Hospital websites inpatients usually represent about two-thirds of all patients undergoing medical treatment for acute myocardial infarction (AMI) or experiencing heart Time periods of data failure (HF), and about half of all patients undergoing percutaneous coronary intervention (PCI) or coronary The following table identifies the years used in this artery bypass grafting (CABG), as found in the study for both the current and trend profiles. Watson Health Projected Inpatient Database (PIDB)*. References made to ‘current’ year, ‘most current’ year and ‘trend’ years throughout this overview are We use the CMS Hospital Compare data set for 30- defined below: day mortality and 30-day readmission rate performance measures, as well as the 30-day Table 7. Time Periods episode-of-care payment measures for AMI and HF References in text Time Periods patients. CMS publishes these rates as three-year Federal fiscal years (FFY) Oct - Sept combined data values. Five data points are used to Study Year 2020 develop the study trend database for these extended Current data year (MEDPAR) FFY 2018 care measures. We label these data points based on Current data year (Medicare Cost Reports) Year ending in 2018 the end year of each data set. For example, July 1, Two most current/recent years of data 2015-June 30, 2018 is named “2018.” We used the (MEDPAR / Medicare Cost Reports) 2017 and 2018 current year (most recent data set available) to Trend data years (MEDPAR) FFY 2013 - 2018 identify current performance and to select the Years ending in 2014 - winning hospitals. Trend data years (Medicare Cost Reports) 2018 PIDB data used in risk model development FFY 2015 * The Watson Health Projected Inpatient Database (PIDB) is one of the largest US inpatient, all-payer databases of its kind, containing more than 23 million all-payer discharges annually. This data is obtained from approximately 5,000 hospitals, representing over 65% of all discharges from short- term, general, nonfederal hospitals in the US. 24
Present-on-admission data The effect of present-on- admission data on risk and Our risk-adjustment models for inpatient mortality severity adjustment and complications, and severity-adjustment models • Since 2008, CMS regulations for LOS and cost per case included POA data reported have required all Inpatient in the MEDPAR data sets. Under the Deficit Reduction Prospective Payment System Act of 2005, as of federal fiscal year (FFY) 2008, hospitals to document whether a hospitals receive a reduced payment for cases with patient has certain conditions certain conditions (such as falls, surgical-site when admitted; these are coded infections, and pressure ulcers) that were not present as POA. on the patient’s admission but occurred during hospitalization. As a result, CMS now requires all • Our complication rate Inpatient Prospective Payment System hospitals to methodology uses this POA data. document whether a patient has these conditions Consequently, the complication when admitted6. rates exclude “false-positive” complications and are more Present-on-admission coding adjustments accurate. In addition, our Since 2010 we have observed a significant rise in the mortality, complications, LOS, number of principal diagnosis (PDX) and secondary and cost-per-case risk- and diagnosis (SDX) codes that do not have a valid POA severity- adjustment models indicator code in the MEDPAR data files. Since 2011, develop expected values based an invalid code of “0” has been appearing. This only on conditions that were phenomenon has led to an artificial rise in the present on admission. number of complications that appear to be occurring during the hospital stay. See the Appendix for details. To correct for this bias, we adjust MEDPAR record processing through our inpatient mortality and complications risk models, and LOS and cost- per- case severity-adjustment models, as follows: • We treat all principal diagnoses as present on admission • We treat all diagnosis codes on the CMS exempt list as “exempt,” regardless of POA coding • We treat secondary diagnoses where POA indicator codes “Y” or “W” appeared more than 50% of the time in the all-payer database as present on admission 25
Hospitals and patient groups included Hospitals excluded The focus of the study is on hospitals that offer both After building the database of cardiovascular hospitals, medical and surgical treatment options for patients we exclude hospitals that reasonably might be with two of the most common cardiovascular expected to include a different patient population or conditions: AMI and HF. To build such a database, we population distribution, or whose data is not included all hospitals that had, in the two most recent sufficient for analysis. data years combined, at least 30 unique cases7 in Excluded from the study were: each of the four patient groups described below. • Hospitals with fewer than 30 unique patient • AMI patients – restricted to nonsurgical patients records in each patient group (AMI, HF, CABG, • HF patients – restricted to nonsurgical patients and PCI) for the two most current MEDPAR years • CABG patients – includes all ICD-9-CM and ICD- combined 10-CM procedure codes, principal or secondary • Specialty hospitals, other than cardiac hospitals in MS-DRGs 231 - 236 (critical access hospitals, children’s, women’s, • PCI patients – excludes patients with open chest psychiatric, substance abuse, rehabilitation, and coronary artery angioplasty long-term acute care hospitals) Each patient group is mutually exclusive, by design. • Federally owned hospitals To define patient diagnoses, older years of MEDPAR • Non-continental US hospitals (such as those in data files in the trend profile utilize ICD-9-CM and the Puerto Rico, Guam, and the Virgin Islands) more current data files utilize ICD-10-CM. See the • Hospitals with Medicare average LOS (ALOS) Appendix for patient group definitions and the code- longer than 30 days level detail. • Hospitals with no reported deaths Patient records excluded • Hospitals that did not have Medicare claims for the two most current years of data The AMI and HF groups explicitly exclude patients • Hospitals missing data for calculation of one or who also had a PCI and/or CABG procedure. This more performance measures helps ensure we have exclusively medical patients in these groups. • Hospitals for which a Medicare Cost Report was not available for the two most current years of Also excluded: data • Patients who were discharged to another short- • Hospitals that did not code POA indicators on term facility (to avoid double-counting) the two most current years of MEDPAR data • Patients who were not at least 65 years old 26
Classifying hospitals into comparison groups Participation in a fellowship program was identified and confirmed using the following sources: Bed size, teaching status, and residency/fellowship • ERAS (AAMC program) program involvement have a significant effect on the types of patients a hospital treats and the scope of • ACGME website services it provides. When analyzing the performance • OGME website of an individual hospital, it is crucial to evaluate it • Medical college websites against similar hospitals. To address this, we assign • Hospital websites each hospital to one of three comparison groups according to its teaching and residency program Teaching hospitals without cardiovascular residency status. programs Our formula for defining the cardiovascular hospital Hospitals in this category have no involvement in a comparison groups includes each hospital’s bed size, cardiovascular residency program. There are two residents-to-beds ratio, and involvement in graduate ways to qualify as a teaching hospital: medical education (GME) programs accredited by Meet two of the following three criteria: either the ACGME8 or the AOA9. We define the groups as follows. • 200 or more acute care beds in service • An intern/resident-per-bed ratio of at least 0.03 Teaching hospitals with cardiovascular residency • Involvement in at least 3 accredited GME programs programs overall Hospitals in this category must meet the definition of Or: have an intern/ resident-per-bed ratio of 0.25 or teaching (see teaching hospitals without greater, regardless of bed size or AHA survey data. cardiovascular residency programs definition) and be involved in a cardiovascular residency program Community hospitals accredited by the ACGME or the AOA. Cardiovascular Hospital must meet both of the following criteria: residency programs include any of the following: • 25 or more acute care beds in service • Cardiology • Not classified as a teaching hospital per definitions above • Cardiovascular disease Bed size and number of interns/residents (full- time • Cardiovascular medicine equivalents) are taken from each hospital’s most • Cardiothoracic surgery current Medicare Cost Report available. • Interventional cardiology Cardiovascular study groups • Clinical cardiac electrophysiology The final study group counts, after exclusions, are • Thoracic surgery listed in Table 8: • Thoracic surgery – integrated Table 8. Cardiovascular hospital comparison groups • Advanced heart failure and transplant Comparison group Total cardiology Teaching hospitals with cardiovascular residency programs 275 • Adult congenital heart disease Teaching hospitals without cardiovascular residency programs 291 Community hospitals 423 Note: Cardiovascular radiology residency programs Total in-study hospitals 989 are not included. 27
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