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Featured researches published by Angela Merrill.


Circulation-cardiovascular Quality and Outcomes | 2009

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

Harlan M. Krumholz; Angela Merrill; Eric M. Schone; Geoffrey C. Schreiner; Jersey Chen; Elizabeth H. Bradley; Yun Wang; Yongfei Wang; Zhenqiu Lin; Barry M. Straube; Michael T. Rapp; Sharon-Lise T. Normand; Elizabeth E. Drye

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.


Circulation-cardiovascular Quality and Outcomes | 2010

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

Susannah M. Bernheim; Jacqueline N. Grady; Zhenqiu Lin; Yun Wang; Yongfei Wang; Shantal V. Savage; Kanchana R. Bhat; Joseph S. Ross; Mayur M. Desai; Angela Merrill; Lein F. Han; Michael T. Rapp; Elizabeth E. Drye; Sharon-Lise T. Normand; Harlan M. Krumholz

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.


Journal of Hospital Medicine | 2010

The performance of US hospitals as reflected in risk-standardized 30-day mortality and readmission rates for medicare beneficiaries with pneumonia†‡

Peter K. Lindenauer; Susannah M. Bernheim; Jacqueline N. Grady; Zhenqiu Lin; Yun Wang; Yongfei Wang; Angela Merrill; Lein F. Han; Michael T. Rapp; Elizabeth E. Drye; Sharon-Lise T. Normand; Harlan M. Krumholz

BACKGROUND Pneumonia is a leading cause of hospitalization and death in the elderly, and remains the subject of both local and national quality improvement efforts. OBJECTIVE To describe patterns of hospital and regional performance in the outcomes of elderly patients with pneumonia. DESIGN Cross-sectional study using hospital and outpatient Medicare claims between 2006 and 2009. SETTING A total of 4,813 nonfederal acute care hospitals in the United States and its organized territories. PATIENTS Hospitalized fee-for-service Medicare beneficiaries age 65 years and older who received a principal diagnosis of pneumonia. INTERVENTION None. MEASUREMENTS Hospital and regional level risk-standardized 30-day mortality and readmission rates. RESULTS Of the 1,118,583 patients included in the mortality analysis 129,444 (11.6%) died within 30 days of hospital admission. The median (Q1, Q3) hospital 30-day risk-standardized mortality rate for patients with pneumonia was 11.1% (10.0%, 12.3%), and despite controlling for differences in case mix, ranged from 6.7% to 20.9%. Among the 1,161,817 patients included in the readmission analysis 212,638 (18.3%) were readmitted within 30 days of hospital discharge. The median (Q1, Q3) 30-day risk-standardized readmission rate was 18.2% (17.2%, 19.2%) and ranged from 13.6% to 26.7%. Risk-standardized mortality rates varied across hospital referral regions from a high of 14.9% to a low of 8.7%. Risk-standardized readmission rates varied across hospital referral regions from a high of 22.2% to a low of 15%. CONCLUSIONS Risk-standardized 30-day mortality and, to a lesser extent, readmission rates for patients with pneumonia vary substantially across hospitals and regions and may present opportunities for quality improvement, especially at low performing institutions and areas.


American Journal of Preventive Medicine | 2010

Racial disparities in hospitalizations for ambulatory care-sensitive conditions.

Sasigant S. O'Neil; Timothy K. Lake; Angela Merrill; Ander Wilson; David A. Mann; Linda M. Bartnyska

BACKGROUND Variation in the quality of ambulatory care may be a key factor in explaining disparities in health, and these disparities have large cost implications. PURPOSE This study identified differences in hospitalization rates for elderly African-American and white Marylanders for eight ambulatory care-sensitive conditions (ACSCs). It assessed the relative contribution of race to disparities in preventable hospitalizations after controlling for demographic and socioeconomic factors as well as underlying prevalence. It also estimated the excess cost associated with these disparities. METHODS Using prevention quality indicator specifications from the Agency for Healthcare and Research Quality applied to 2006 Medicare claims data, eight ACSC hospitalization measures were developed for 569,896 Maryland Medicare beneficiaries. The analysis was conducted in 2008. A Poisson regression model identified race, age, gender, and income as factors associated with differences in ACSC hospitalization rates. Excess costs were estimated from excess hospitalizations of African Americans and the median cost per admission. RESULTS African Americans had significantly higher rates of ACSC hospitalizations than whites for five of eight conditions after controlling for demographic, socioeconomic, and geographic factors. Excess costs from disparities in quality ranged from


Journal of General Internal Medicine | 2014

National Patterns of Risk-Standardized Mortality and Readmission After Hospitalization for Acute Myocardial Infarction, Heart Failure, and Pneumonia: Update on Publicly Reported Outcomes Measures Based on the 2013 Release

Lisa G. Suter; Shu-Xia Li; Jacqueline N. Grady; Zhenqiu Lin; Yongfei Wang; Kanchana R. Bhat; Dima Turkmani; Steven B. Spivack; Peter K. Lindenauer; Angela Merrill; Elizabeth E. Drye; Harlan M. Krumholz; Susannah M. Bernheim

8 million (heart failure) to


Journal of Econometrics | 2003

Healthy, wealthy, and wise? Tests for direct causal paths between health and socioeconomic status

Peter Adams; Michael D. Hurd; Daniel McFadden; Angela Merrill; Tiago C. Ribeiro

38,000 (urinary tract infection). CONCLUSIONS Race may be a key predictor of preventable hospitalizations for some ACSCs. Racial disparities in these hospitalizations represent excess costs to Medicare. Because ACSC admissions are potentially preventable with optimal ambulatory care, improving care for minority populations may reduce disparities and lower hospital costs.


National Bureau of Economic Research | 1999

Predictors of Mortality Among the Elderly

Michael D. Hurd; Daniel McFadden; Angela Merrill

ABSTRACTBACKGROUNDThe Centers for Medicare & Medicaid Services publicly reports risk-standardized mortality rates (RSMRs) within 30-days of admission and, in 2013, risk-standardized unplanned readmission rates (RSRRs) within 30-days of discharge for patients hospitalized with acute myocardial infarction (AMI), heart failure (HF), and pneumonia. Current publicly reported data do not focus on variation in national results or annual changes.OBJECTIVEDescribe U.S. hospital performance on AMI, HF, and pneumonia mortality and updated readmission measures to provide perspective on national performance variation.DESIGNTo identify recent changes and variation in national hospital-level mortality and readmission for AMI, HF, and pneumonia, we performed cross-sectional panel analyses of national hospital performance on publicly reported measures.PARTICIPANTSFee-for-service Medicare and Veterans Health Administration beneficiaries, 65 years or older, hospitalized with principal discharge diagnoses of AMI, HF, or pneumonia between July 2009 and June 2012. RSMRs/RSRRs were calculated using hierarchical logistic models risk-adjusted for age, sex, comorbidities, and patients’ clustering among hospitals.ResultsMedian (range) RSMRs for AMI, HF, and pneumonia were 15.1% (9.4–21.0%), 11.3% (6.4–17.9%), and 11.4% (6.5–24.5%), respectively. Median (range) RSRRs for AMI, HF, and pneumonia were 18.2% (14.4–24.3%), 22.9% (17.1–30.7%), and 17.5% (13.6–24.0%), respectively. Median RSMRs declined for AMI (15.5% in 2009–2010, 15.4% in 2010–2011, 14.7% in 2011–2012) and remained similar for HF (11.5% in 2009–2010, 11.9% in 2010–2011, 11.7% in 2011–2012) and pneumonia (11.8% in 2009–2010, 11.9% in 2010–2011, 11.6% in 2011–2012). Median hospital-level RSRRs declined: AMI (18.5% in 2009–2010, 18.5% in 2010–2011, 17.7% in 2011–2012), HF (23.3% in 2009–2010, 23.1% in 2010–2011, 22.5% in 2011–2012), and pneumonia (17.7% in 2009–2010, 17.6% in 2010–2011, 17.3% in 2011–2012).ConclusionsWe report the first national unplanned readmission results demonstrating declining rates for all three conditions between 2009–2012. Simultaneously, AMI mortality continued to decline, pneumonia mortality was stable, and HF mortality experienced a small increase.


Mathematica Policy Research Reports | 2010

National Patterns of Risk-Standardized Mortality and Readmission for Acute Myocardial Infarction and Heart Failure

Susannah M. Bernheim; Jacqueline N. Grady; Zhenqiu Lin; Yun Wang; Yongfei Wang; Shantal V. Savage; Kanchana R. Bhat; Joseph S. Ross; Mayur M. Desai; Angela Merrill; Lein Han; Michael T. Rapp; Elizabeth E. Drye; Sharon-Lise T. Normand; Harlan M. Krumholz


Mathematica Policy Research Reports | 2007

National Evaluation of the State Childrens Health Insurance Program A Decade of Expanding Coverage and Improving Access

Margo L. Rosenbach; Carol V. Irvin; Angela Merrill; Shanna Shulman; John L. Czajka; Christopher Trenholm; Susan Rebstock Williams; So Sasigant Limpa-Amara; Anna Katz


Mathematica Policy Research Reports | 2006

SCHIP and Medicaid Working Together to Keep LowIncome Children Insured

Angela Merrill; Margo L. Rosenbach

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Timothy K. Lake

Mathematica Policy Research

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Margo L. Rosenbach

Mathematica Policy Research

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Marilyn Ellwood

Mathematica Policy Research

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Michael T. Rapp

George Washington University

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