Looking Forward, Looking Back: Assessing Variations in Hospital Resource Use and Outcomes for Elderly Patients With Heart Failure
Ong et al.
Circ Cardiovasc Qual Outcomes 2009;2:548-557.
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Psychiatric Comorbidity and Mortality After Acute Myocardial Infarction
Abrams et al.
Circ Cardiovasc Qual Outcomes 2009;2:213-220.
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Characteristics and Outcomes of America's Lowest-Performing Hospitals: An Analysis of Acute Myocardial Infarction Hospital Care in the United States
Popescu et al.
Circ Cardiovasc Qual Outcomes 2009;2:221-227.
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Expert Consensus vs Empirical Estimation of Injury Severity: Effect on Quality Measurement in Trauma
Glance et al.
Arch Surg 2009;144:326-332.
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Measuring the quality of hospital care
Wright and Shojania
BMJ 2009;338:b569-b569.
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Evidence of methodological bias in hospital standardised mortality ratios: retrospective database study of English hospitals
Mohammed et al.
BMJ 2009;338:b780-b780.
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Choosing The Best Hospital: The Limitations Of Public Quality Reporting
Rothberg et al.
Health Aff (Millwood) 2008;27:1680-1687.
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Hospital mortality: when failure is not a good measure of success
Shojania and Forster
CMAJ 2008;179:153-157.
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Risk Stratification and Comorbidity
Ferraris et al.
Card Surg Adult 2008;3:199-246.
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Case-mix adjustment in non-randomised observational evaluations: the constant risk fallacy
Nicholl
J. Epidemiol. Community Health 2007;61:1010-1013.
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Comparison of Clinical and Administrative Data Sources for Hospital Coronary Artery Bypass Graft Surgery Report Cards
Shahian et al.
Circulation 2007;115:1518-1527.
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Patient characteristics and hospital quality for colorectal cancer surgery
Zhang et al.
Int J Qual Health Care 2007;19:11-20.
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Risk-adjusted morbidity and mortality models to compare the performance of two units after major lung resections
Brunelli et al.
J. Thorac. Cardiovasc. Surg. 2007;133:88-96.
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Transferring Critically Ill Patients Out of Hospital Improves the Standardized Mortality Ratio: A Simulation Study
Kahn et al.
Chest 2007;131:68-75.
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Adverse outcomes in Belgian acute hospitals: retrospective analysis of the national hospital discharge dataset
Van den Heede et al.
Int J Qual Health Care 2006;18:211-219.
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The predictive accuracy of the new york state coronary artery bypass surgery report-card system.
Jha and Epstein
Health Aff (Millwood) 2006;25:844-855.
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Development of Pediatric Comorbidity Prediction Model
Tai et al.
Arch Pediatr Adolesc Med 2006;160:293-299.
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Standards for Statistical Models Used for Public Reporting of Health Outcomes: An American Heart Association Scientific Statement From the Quality of Care and Outcomes Research Interdisciplinary Writing Group: Cosponsored by the Council on Epidemiology and Prevention and the Stroke Council Endorsed by the American College of Cardiology Foundation
Krumholz et al.
Circulation 2006;113:456-462.
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The Italian CABG Outcome Study: short-term outcomes in patients with coronary artery bypass graft surgery
Seccareccia et al.
Eur. J. Cardiothorac. Surg. 2006;29:56-62.
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The Big Chill: The Deleterious Effects of Public Reporting on Access to Health Care for the Sickest Patients
Turi
J Am Coll Cardiol 2005;45:1766-1768.
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Does reporting of coronary artery bypass grafting from administrative databases accurately reflect actual clinical outcomes?
Mack et al.
J. Thorac. Cardiovasc. Surg. 2005;129:1309-1317.
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Improving the ICU: Part 1
Garland
Chest 2005;127:2151-2164.
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Daily Assessment of Organ Dysfunction and Survival in Intensive Care Unit Cardiac Surgical Patients
Hekmat et al.
Ann. Thorac. Surg. 2005;79:1555-1562.
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On the use of administrative databases to support planning activities: a comment
Aelvoet
Eur J Public Health 2005;15:215-215.
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The Influence of Public Reporting of Outcome Data on Medical Decision Making by Physicians
Narins et al.
Arch Intern Med 2005;165:83-87.
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Cardiac Surgery Risk Models: A Position Article
Shahian et al.
Ann. Thorac. Surg. 2004;78:1868-1877.
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The legacy of Bristol: public disclosure of individual surgeons' results
Keogh et al.
BMJ 2004;329:450-454.
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The RACHS-1 risk categories reflect mortality and length of hospital stay in a large German pediatric cardiac surgery population
Boethig et al.
Eur. J. Cardiothorac. Surg. 2004;26:12-17.
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Prognostic Importance of Comorbidity in a Hospital-Based Cancer Registry
Piccirillo et al.
JAMA 2004;291:2441-2447.
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How to make a silk purse from a sow's ear--a comprehensive review of strategies to optimise data for corrupt managers and incompetent clinicians
Pitches et al.
BMJ 2003;327:1436-1439.
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Defining and classifying clinical indicators for quality improvement
Mainz
Int J Qual Health Care 2003;15:523-530.
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Children With Special Health Care Needs Enrolled in the State Children's Health Insurance Program (SCHIP): Patient Characteristics and Health Care Needs
Szilagyi et al.
Pediatrics 2003;112:e508-520.
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The Quality of Medical Care Provided to Vulnerable Community-Dwelling Older Patients
Wenger et al.
ANN INTERN MED 2003;139:740-747.
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Using Clinical Outcomes to Identify Expert Physical Therapists
Resnik and Hart
ptjournal 2003;83:990-1002.
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Do hospitals with low mortality rates in coronary artery bypass also perform well in valve replacement?
Goodney et al.
Ann. Thorac. Surg. 2003;76:1131-1137.
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Length of Stay for Common Pediatric Conditions: Teaching Versus Nonteaching Hospitals
Srivastava and Homer
Pediatrics 2003;112:278-281.
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Accepting Critically Ill Transfer Patients: Adverse Effect on a Referral Center's Outcome and Benchmark Measures
Rosenberg et al.
ANN INTERN MED 2003;138:882-890.
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Using routine comparative data to assess the quality of health care: understanding and avoiding common pitfalls
Powell et al.
Qual Saf Health Care 2003;12:122-128.
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Should Volume Standards for Cardiovascular Surgery Focus Only on High-Risk Patients?
Goodney et al.
Circulation 2003;107:384-387.
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Epidemiology and Outcomes of Ventilator-Associated Pneumonia in a Large US Database
Rello et al.
Chest 2002;122:2115-2121.
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Impact of Modifying Risk Adjustment Models on Rankings of Access to Care in the VA Mental Health Report Card
Weissman et al.
Psychiatr. Serv. 2002;53:1153-1158.
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Outcomes of and Resource Consumption by High-Cost Patients in the Intensive Care Unit
Welton et al.
Am J Crit Care 2002;11:467-473.
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Measuring Health Care Quality: Comparing and Contrasting the Medical and the Marketing Approaches
Bowers and Kiefe
American Journal of Medical Quality 2002;17:136-144.
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Health Care Report Cards: Implications for Vulnerable Patient Groups and the Organizations Providing Them Care
Davies et al.
Journal of Health Politics, Policy and Law 2002;27:379-400.
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Lack of Relationship Between the Cleveland Health Quality Choice Project and Decreased Inpatient Mortality in Cleveland
Clough et al.
American Journal of Medical Quality 2002;17:47-55.
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Benchmarking in Critical Care : The Road Ahead
Glance and Szalados
Chest 2002;121:326-328.
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Cardiac surgery report cards: comprehensive review and statistical critique
Shahian et al.
Ann. Thorac. Surg. 2001;72:2155-2168.
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Relationship of hospital size, case volume, and cost for coronary artery bypass surgery: Analysis of 12,774 patients operated on in Massachusetts during fiscal years 1995 and 1996
Shahian et al.
J. Thorac. Cardiovasc. Surg. 2001;122:53-64.
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Public release of performance data and quality improvement: internal responses to external data by US health care providers
Davies
Qual Saf Health Care 2001;10:104-110.
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Challenges in comparing risk-adjusted bypass surgery mortality results: Results from the Cooperative Cardiovascular Project
Peterson et al.
J Am Coll Cardiol 2000;36:2174-2184.
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Results of Report Cards for Patients with Congestive Heart Failure Depend on the Method Used To Adjust for Severity
Poses et al.
ANN INTERN MED 2000;133:10-20.
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The Public Release of Performance Data: What Do We Expect to Gain? A Review of the Evidence
Marshall et al.
JAMA 2000;283:1866-1874.
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Risk stratification in heart surgery: comparison of six score systems
Geissler et al.
Eur. J. Cardiothorac. Surg. 2000;17:400-406.
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Public disclosure of performance data: learning from the US experience
Marshall et al.
Qual Saf Health Care 2000;9:53-57.
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Mental Disorders and Use of Cardiovascular Procedures After Myocardial Infarction
Druss et al.
JAMA 2000;283:506-511.
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ANGIOGRAPHIC QUANTIFICATION OF DIFFUSE CORONARY ARTERY DISEASE: RELIABILITY AND PROGNOSTIC VALUE FOR BYPASS OPERATIONS
Graham et al.
J. Thorac. Cardiovasc. Surg. 1999;118:618-627.
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Enhancing Performance Measurement: NCQA's Road Map for a Health Information Framework
Schneider et al.
JAMA 1999;282:1184-1190.
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Patient Satisfaction and Administrative Measures as Indicators of the Quality of Mental Health Care
Druss et al.
Psychiatr. Serv. 1999;50:1053-1058.
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Outcomes Research in Critical Care . Results of the American Thoracic Society Critical Care Assembly Workshop on Outcomes Research
RUBENFELD et al.
Am. J. Respir. Crit. Care Med. 1999;160:358-367.
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Comparing AMI Mortality Among Hospitals in Patients 65 Years of Age and Older : Evaluating Methods of Risk Adjustment
Krumholz et al.
Circulation 1999;99:2986-2992.
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Explaining differences in English hospital death rates using routinely collected data
Jarman et al.
BMJ 1999;318:1515-1520.
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Health and Economic Outcomes of Antibiotic Resistance in Pseudomonas aeruginosa
Carmeli et al.
Arch Intern Med 1999;159:1127-1132.
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Research Evidence on the Validity of Risk-Adjusted Mortality Rate as a Measure of Hospital Quality of Care
Thomas and Hofer
Med Care Res Rev 1998;55:371-404.
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Atrial Fibrillation: Mortality, Stroke, and Medical Costs
Gross et al.
Arch Intern Med 1998;158:2265-2266.
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Risk Adjustment, Quality Assessment, and Process of Care
Klubert et al.
JAMA 1998;279:910-911.
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