Michael T. Rapp

Patterns of Hospital Performance in Acute Myocardial Infarction and Heart Failure 30-Day Mortality and Readmission

Background—In 2009, the Centers for Medicare & Medicaid Services is publicly reporting hospital-level risk-standardized 30-day mortality and readmission rates after acute myocardial infarction (AMI) and heart failure (HF). We provide patterns of hospital performance, based on these measures. Methods and Results—We calculated the 30-day mortality and readmission rates for all Medicare fee-for-service beneficiaries ages 65 years or older with a primary diagnosis of AMI or HF, discharged between July 2005 and June 2008. We compared weighted risk-standardized mortality and readmission rates across Hospital Referral Regions and hospital structural characteristics. The median 30-day mortality rate was 16.6% for AMI (range, 10.9% to 24.9%; 25th to 75th percentile, 15.8% to 17.4%; 10th to 90th percentile, 14.7% to 18.4%) and 11.1% for HF (range, 6.6% to 19.8%; 25th to 75th percentile, 10.3% to 12.0%; 10th to 90th percentile, 9.4% to 13.1%). The median 30-day readmission rate was 19.9% for AMI (range, 15.3% to 29.4%; 25th to 75th percentile, 19.5% to 20.4%; 10th to 90th percentile, 18.8% to 21.1%) and 24.4% for HF (range, 15.9% to 34.4%; 25th to 75th percentile, 23.4% to 25.6%; 10th to 90th percentile, 22.3% to 27.0%). We observed geographic differences in performance across the country. Although there were some differences in average performance by hospital characteristics, there were high and low hospital performers among all types of hospitals. Conclusions—In a recent 3-year period, 30-day risk-standardized mortality rates for AMI and HF varied among hospitals and across the country. The readmission rates were particularly high.

Reduction in Acute Myocardial Infarction Mortality in the United States: Risk-Standardized Mortality Rates From 1995-2006

CONTEXT During the last 2 decades, health care professional, consumer, and payer organizations have sought to improve outcomes for patients hospitalized with acute myocardial infarction (AMI). However, little has been reported about improvements in hospital short-term mortality rates or reductions in between-hospital variation in short-term mortality rates. OBJECTIVE To estimate hospital-level 30-day risk-standardized mortality rates (RSMRs) for patients discharged with AMI. DESIGN, SETTING, AND PATIENTS Observational study using administrative data and a validated risk model to evaluate 3,195,672 discharges in 2,755,370 patients discharged from nonfederal acute care hospitals in the United States between January 1, 1995, and December 31, 2006. Patients were 65 years or older (mean, 78 years) and had at least a 12-month history of fee-for-service enrollment prior to the index hospitalization. Patients discharged alive within 1 day of an admission not against medical advice were excluded, because it is unlikely that these patients had sustained an AMI. MAIN OUTCOME MEASURE Hospital-specific 30-day all-cause RSMR. RESULTS At the patient level, the odds of dying within 30 days of admission if treated at a hospital 1 SD above the national average relative to that if treated at a hospital 1 SD below the national average were 1.63 (95% CI, 1.60-1.65) in 1995 and 1.56 (95% CI, 1.53-1.60) in 2006. In terms of hospital-specific RSMRs, a decrease from 18.8% in 1995 to 15.8% in 2006 was observed (odds ratio, 0.76; 95% CI, 0.75-0.77). A reduction in between-hospital heterogeneity in the RSMRs was also observed: the coefficient of variation decreased from 11.2% in 1995 to 10.8%, the interquartile range from 2.8% to 2.1%, and the between-hospital variance from 4.4% to 2.9%. CONCLUSION Between 1995 and 2006, the risk-standardized hospital mortality rate for Medicare patients discharged with AMI showed a significant decrease, as did between-hospital variation.

An Administrative Claims Measure Suitable for Profiling Hospital Performance Based on 30-Day All-Cause Readmission Rates Among Patients With Acute Myocardial Infarction

Background— National attention has increasingly focused on readmission as a target for quality improvement. We present the development and validation of a model approved by the National Quality Forum and used by the Centers for Medicare & Medicaid Services for hospital-level public reporting of risk-standardized readmission rates for patients discharged from the hospital after an acute myocardial infarction. Methods and Results— We developed a hierarchical logistic regression model to calculate hospital risk-standardized 30-day all-cause readmission rates for patients hospitalized with acute myocardial infarction. The model was derived using Medicare claims data for a 2006 cohort and validated using claims and medical record data. The unadjusted readmission rate was 18.9%. The final model included 31 variables and had discrimination ranging from 8% observed 30-day readmission rate in the lowest predictive decile to 32% in the highest decile and a C statistic of 0.63. The 25th and 75th percentiles of the risk-standardized readmission rates across 3890 hospitals were 18.6% and 19.1%, with fifth and 95th percentiles of 18.0% and 19.9%, respectively. The odds of all-cause readmission for a hospital 1 SD above average were 1.35 times that of a hospital 1 SD below average. Hospital-level adjusted readmission rates developed using the claims model were similar to rates produced for the same cohort using a medical record model (correlation, 0.98; median difference, 0.02 percentage points). Conclusions— This claims-based model of hospital risk-standardized readmission rates for patients with acute myocardial infarction produces estimates that are excellent surrogates for those produced from a medical record model.

A comparison of clinical registry versus administrative claims data for reporting of 30-day surgical complications.

Objectives:To compare the recording of 30-day postoperative complications between a national clinical registry and Medicare inpatient claims data and to determine whether the addition of outpatient claims data improves concordance with the clinical registry. Background:Policymakers are increasingly discussing use of postoperative complication rates for value-based purchasing. There is debate regarding the optimal data source for such measures. Methods:Patient records (2005–2008) from the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) were linked to Medicare inpatient and outpatient claims data sets. We assessed the ability of (1) Medicare inpatient claims and (2) Medicare inpatient and outpatient claims to detect a core set of ACS-NSQIP 30-day postoperative complications: superficial surgical site infection (SSI), deep/organ-space SSI, any SSI (superficial and/or deep/organ-space), urinary tract infection, pneumonia, sepsis, deep venous thrombosis (DVT), pulmonary embolism, venous thromboembolism (DVT and/or pulmonary embolism), and myocardial infarction. Agreement of patient-level complications by ACS-NSQIP versus Medicare was assessed by &kgr; statistics. Results:A total of 117,752 patients from more than 200 hospitals were studied. The sensitivity of inpatient claims data for detecting ACS-NSQIP complications ranged from 0.27 to 0.78; the percentage of false-positives ranged from 48% to 84%. Addition of outpatient claims data improved sensitivity slightly but also greatly increased the percentage of false-positives. Agreement was routinely poor between clinical and claims data for patient-level complications. Conclusions:This analysis demonstrates important differences between ACS-NSQIP and Medicare claims data sets for measuring surgical complications. Poor accuracy potentially makes claims data suboptimal for evaluating surgical complications. These findings have meaningful implications for performance measures currently being considered.

Improvements in Door-to-Balloon Time in the United States, 2005 to 2010

Background Registry studies have suggested improvements in door-to-balloon times, but a national assessment of the trends in door-to-balloon times is lacking. Moreover, we do not know if improvements in door-to-balloon times were shared equally among patient and hospital groups.Background— Registry studies have suggested improvements in door-to-balloon times, but a national assessment of the trends in door-to-balloon times is lacking. Moreover, we do not know whether improvements in door-to-balloon times were shared equally among patient and hospital groups. Methods and Results— This analysis includes all patients reported by hospitals to the Centers for Medicare & Medicaid Services for inclusion in the time to percutaneous coronary intervention (acute myocardial infarction-8) inpatient measure from January 1, 2005, through September 30, 2010. For each calendar year, we summarized the characteristics of patients reported for the measure, including the number and percentage in each group, the median time to primary percutaneous coronary intervention, and the percentage with time to primary percutaneous coronary intervention within 75 minutes and within 90 minutes. Door-to-balloon time declined from a median of 96 minutes in the year ending December 31, 2005, to a median of 64 minutes in the 3 quarters ending September 30, 2010. There were corresponding increases in the percentage of patients who had times <90 minutes (44.2% to 91.4%) and <75 minutes (27.3% to 70.4%). The declines in median times were greatest among groups that had the highest median times during the first period: patients >75 years of age (median decline, 38 minutes), women (35 minutes), and blacks (42 minutes). Conclusion— National progress has been achieved in the timeliness of treatment of patients with ST-segment–elevation myocardial infarction who undergo primary percutaneous coronary intervention.

Association between occurrence of a postoperative complication and readmission: implications for quality improvement and cost savings.

Objective:To estimate the effect of preventing postoperative complications on readmission rates and costs. Background:Policymakers are targeting readmission for quality improvement and cost savings. Little is known regarding mutable factors associated with postoperative readmissions. Methods:Patient records (2005–2008) from the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) were linked to Medicare inpatient claims. Risk factors, procedure, and 30-day postoperative complications were determined from ACS-NSQIP. The 30-day postoperative readmission and costs were determined from Medicare. Occurrence of a postoperative complication included surgical site infections and cardiac, pulmonary, neurologic, and renal complications. Multivariate regression models predicted the effect of reducing complication rates on risk-adjusted readmission rates and costs by procedure. Results:The 30-day postoperative readmission rate was 12.8%. Complication rates for readmitted and nonreadmitted patients were 53% and 16% (P < 0.001). Patients with a postoperative complication had higher predicted probability of readmission and cost of readmission than patients without a complication. For the 20 procedures accounting for the greatest number of readmissions, reducing ACS-NSQIP complication rates by a relative 5% could result in prevention of 2092 readmissions per year and a savings to Medicare of

National Patterns of Risk-Standardized Mortality and Readmission for Acute Myocardial Infarction and Heart Failure: Update on Publicly Reported Outcomes Measures Based on the 2010 Release

31.0 million per year. Preventing all ACS-NSQIP complications for these procedures could result in prevention of 41,846 readmissions per year and a savings of

A study of the workforce in emergency medicine: 1999

620.3 million per year. Conclusions:This study provides substantial evidence that efforts to reduce postoperative readmissions should begin by focusing on postoperative complications that can be reliably and validly measured. Such an approach will not eliminate all postoperative readmissions but will likely have a major effect on readmission rates.

Comparison of hospital risk-standardized mortality rates calculated by using in-hospital and 30-day models: an observational study with implications for hospital profiling.

Background—Patient outcomes provide a critical perspective on quality of care. The Centers for Medicare and Medicaid Services (CMS) is publicly reporting hospital 30-day risk-standardized mortality rates (RSMRs) and risk-standardized readmission rates (RSRRs) for patients hospitalized with acute myocardial infarction (AMI) and heart failure (HF). We provide a national perspective on hospital performance for the 2010 release of these measures. Methods and Results—The hospital RSMRs and RSRRs are calculated from Medicare claims data for fee-for-service Medicare beneficiaries, 65 years or older, hospitalized with AMI or HF between July 1, 2006, and June 30, 2009. The rates are calculated using hierarchical logistic modeling to account for patient clustering, and are risk-adjusted for age, sex, and patient comorbidities. The median RSMR for AMI was 16.0% and for HF was 10.8%. Both measures had a wide range of hospital performance with an absolute 5.2% difference between hospitals in the 5th versus 95th percentile for AMI and 5.0% for HF. The median RSRR for AMI was 19.9% and for HF was 24.5% (3.9% range for 5th to 95th percentile for AMI, 6.7% for HF). Distinct regional patterns were evident for both measures and both conditions. Conclusions—High RSRRs persist for AMI and HF and clinically meaningful variation exists for RSMRs and RSRRs for both conditions. Our results suggest continued opportunities for improvement in patient outcomes for HF and AMI.

An Administrative Claims Model for Profiling Hospital 30-Day Mortality Rates for Pneumonia Patients

STUDY OBJECTIVE We estimate the total number of physicians practicing clinical emergency medicine during a specified period, describe certain characteristics of those individuals to estimate the total number of full-time equivalents (FTEs) and the total number of individuals needed to staff those FTEs, and compare the data collected with those data collected in 1997. METHODS Data were gathered from a survey of a random sample of 2,153 hospitals drawn from a population of 5,329 hospitals reported by the American Hospital Association as having, or potentially having, an emergency department. The survey instrument addressed items such as descriptive data on the institution, enumeration of physicians in the ED, and the total number of physicians working during the period from June 6 to June 9, 1999. Demographic data on the individuals were also collected. RESULTS A total of 940 hospitals responded (a 44% return rate). These hospitals reported that a total of 6,719 physicians were working during the specified period, or an average of 7.85 persons scheduled per institution. The physicians were scheduled for a total of 347,702 hours. The average standard for FTE was 40 clinical hours per week. This equates to 4,346 FTEs or 5.29 FTEs per institution. The ratio of persons to FTEs was 1.48:1. With regard to demographics, 83% of the physicians were men, and 82% were white. Their average age was 42.6 years. As for professional credentials, 42% were emergency medicine residency trained, and 58% were board certified in emergency medicine; 50% were certified by the American Board of Emergency Medicine. CONCLUSION Given that there are 5,064 hospitals with EDs and given that the data indicate that there are 5.35 FTEs per ED, the total number of FTEs is projected to be 27,067 (SE=500). Given further that the data indicate a physician/FTE ratio of 1.47:1, we conclude that there are 39,746 persons (SE=806) needed to staff those FTEs. When adjusted for persons working at more than one ED, that number is reduced to 31,797. When the 1999 data are compared with those collected in 1997, we note a statistically significant decline in the number of hospital EDs, from 5,126 in 1997 to 5,064 in 1999 (P =.02). The total number of emergency physicians remained the same over the 2-year period, whereas the number of FTEs per institution increased from 5.11 to 5.35. The physician/FTE ratio remained unchanged.