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(1996)
coronary artery bypass graft surgery outcome “report cards
P. Austin (2004)
Bootstrap Methods for Developing Predictive Models in Cardiovascular ResearchThe American Statistician, 58
(1994)
California Office of Statewide Health Planning and Development
A. Leyland, F. Boddy (1998)
League tables and acute myocardial infarctionThe Lancet, 351
(1992)
Clinical versus administrative data bases
(1994)
Scottish Office (1995) Clinical Outcome Indicators
D. Malenka, D. Malenka, D. McLerran, N. Roos, E. Fisher, E. Fisher, E. Fisher, J. Wennberg, J. Wennberg (1994)
Using administrative data to describe casemix: a comparison with the medical record.Journal of clinical epidemiology, 47 9
P. Austin, G. Anderson (2005)
Optimal Statistical Decisions for Hospital Report CardsMedical Decision Making, 25
(1993)
Annual Report of the California Hospital Outcomes Project. Sacramento: California Office of Statewide Health Planning and Development
H. Quan, Gerry Parsons, W. Ghali (2002)
Validity of Information on Comorbidity Derived From ICD-9-CCM Administrative DataMedical Care, 40
J. Tu, P. Austin, R. Walld, L. Roos, Jean Agras, K. McDonald (2001)
Development and validation of the Ontario acute myocardial infarction mortality prediction rules.Journal of the American College of Cardiology, 37 4
J. Allison (1996)
Risk adjustment for measuring health care outcomesAnnals of Epidemiology, 6
William Davis (2001)
Design and Analysis of Cluster Randomization Trials in Health ResearchJournal of the American Statistical Association, 96
E. McGlynn (2003)
Introduction and Overview of the Conceptual Framework for a National Quality Measurement and Reporting SystemMedical Care, 41
(2001)
Development and validation of the Ontario acute myocardial mortality prediction rules
(2001)
Clinical Evaluative Sciences
S. Raudenbush, A. Bryk (1992)
Hierarchical Linear Models: Applications and Data Analysis Methods
Shaw Cd (1989)
Clinical outcome indicators.Health trends, 21
Ghali Ghali, Rothwell Rothwell, Quan Quan, Brant Brant, Tu Tu (2000)
A Canadian comparison of data sources for coronary artery bypass graft surgery outcome ‘‘report cards’’Am. Hrt J., 140
W. Ghali, D. Rothwell, H. Quan, R. Brant, J. Tu (2000)
A Canadian comparison of data sources for coronary artery bypass surgery outcome "report cards".American heart journal, 140 3
S. Stearns, M. Drummond (2003)
Grading systems for cost-effectiveness studies: is the whole greater than the sum of the parts?Medical care, 41 1
Hartz Hartz, Kuhn Kuhn (1994)
Comparing hospitals that perform coronary artery bypass graft surgery: the effect of outcome measures and data sourcesAm. J. Publ. Hlth, 84
Hannan Hannan, Racz Racz, Jollis Jollis, Peterson Peterson (1997)
Using Medicare claims data to assess provider quality for CABG surgery: does it work well enough?Hlth Serv. Res., 31
H. Goldstein, D. Spiegelhalter (1996)
League Tables and Their Limitations: Statistical Issues in Comparisons of Institutional PerformanceJournal of The Royal Statistical Society Series A-statistics in Society, 159
R. Butler, C. Fitzgibbon, J. Gardner, A. Macfarlane, M. Smalls, D. Draper, R. Galbraith, A. Eastwood, T. Sheldon, Peter Smith, J. Galbraith, J. Copas, R. Kapadia, Schagen, R. Brand, T. Louis, A. Leyland, S. Gore, G. Goodhardt, S. Senn, I. Langford, D. Bartholomew, N. Longford, F. Steele, Sl Normand, M. Mckee, K. Abrams, Pc Lambert, C. Chatfield, C. Christiansen, R. Ecob, A. Fielding, F. Harrell, S. Kendrick, D. Muxworthy, D. Russell, Russell, T. Snijders, Neil Spencer, W. TarnowMordi (1996)
League tables and their limitations: Statistical issues in comparisons of institutional performance - DiscussionJournal of The Royal Statistical Society Series A-statistics in Society, 159
H. Quan, Gerry Parsons, W. Ghali (2004)
Assessing accuracy of diagnosis-type indicators for flagging complications in administrative data.Journal of clinical epidemiology, 57 4
T. Hofer, R. Hayward (1996)
Identifying poor-quality hospitals. Can hospital mortality rates detect quality problems for medical diagnoses?Medical care, 34 8
A. Epstein (2000)
Public release of performance data: a progress report from the front.JAMA, 283 14
(2004)
Quality of Cardiac Care in Ontario
A. Hartz, E. Kuhn (1994)
Comparing hospitals that perform coronary artery bypass surgery: the effect of outcome measures and data sources.American journal of public health, 84 10
P. Austin, J. Tu, D. Alter, C. Naylor (2005)
The Impact of Under Coding of Cardiac Severity and Comorbid Diseases on the Accuracy of Hospital Report CardsMedical Care, 43
(1996)
Focus on Heart Attack in Pennsylvania: Research Methods and Results. Harrisburg: Pennsylvania Health Care Cost Containment Council
(1999)
Acute myocardial infarction outcomes
(1999)
Acute myocardial infarction outcomes in Ontario
G. Hawker, P. Coyte, P. Coyte, J. Wright, J. Paul, C. Bombardier (1997)
Accuracy of administrative data for assessing outcomes after knee replacement surgery.Journal of clinical epidemiology, 50 3
P. Austin, D. Alter, J. Tu (2003)
The Use of Fixed-and Random-Effects Models for Classifying Hospitals as Mortality Outliers: A Monte Carlo AssessmentMedical Decision Making, 23
W. Shen, T. Louis (1998)
Triple‐goal estimates in two‐stage hierarchical modelsJournal of the Royal Statistical Society: Series B (Statistical Methodology), 60
E. Hannan, Michael Racz, J. Jollis, E. Peterson (1997)
Using Medicare claims data to assess provider quality for CABG surgery: does it work well enough?Health services research, 31 6
J. Fleiss (1973)
Statistical methods for rates and proportions
M. Marshall, P. Shekelle, S. Leatherman, R. Brook (2000)
The public release of performance data: what do we expect to gain? A review of the evidence.JAMA, 283 14
P. Austin, J. Tu (2004)
Bootstrap Methods for Developing Predictive ModelsThe American Statistician, 58
W. Best, S. Khuri, M. Phelan, K. Hur, W. Henderson, J. Demakis, J. Daley (2002)
Identifying patient preoperative risk factors and postoperative adverse events in administrative databases: results from the Department of Veterans Affairs National Surgical Quality Improvement Program.Journal of the American College of Surgeons, 194 3
E. DeLong, E. Peterson, D. DeLong, L. Muhlbaier, Suzanne Hackett, D. Mark (1998)
Comparing risk-adjustment methods for provider profiling.Statistics in medicine, 16 23
H. Powell, L. Lim, R. Heller (2001)
Accuracy of administrative data to assess comorbidity in patients with heart disease. an Australian perspective.Journal of clinical epidemiology, 54 7
(1996)
assessing outcomes after knee replacement surgery
P. Austin, M. Mamdani, T. Stukel, G. Anderson, J. Tu (2005)
The use of the propensity score for estimating treatment effects: administrative versus clinical dataStatistics in Medicine, 24
J. Green, N. Wintfeld (1995)
Report cards on cardiac surgeons. Assessing New York State's approach.The New England journal of medicine, 332 18
B. Landon, L. Iezzoni, A. Ash, M. Shwartz, J. Daley, J. Hughes, Y. Mackiernan (1996)
Judging hospitals by severity-adjusted mortality rates: the case of CABG surgery.Inquiry : a journal of medical care organization, provision and financing, 33 2
E. Hannan, H. Kilburn, Michael Lindsey, R. Lewis (1992)
Clinical Versus Administrative Data Bases for CABG Surgery: Does it MatterMedical Care, 30
(2002)
disease: an Australian perspective
SummaryWe compared measures of hospital performance by using both administrative and clinical data sources. Hospital-specific mortality outcomes on 10086 patients who had been admitted to 102 hospitals with a diagnosis of acute myocardial infarction in Ontario, Canada, were used as a test-case. Four and six hospitals were identified as having mortality that was statistically significantly higher than expected by using administrative and clinical data respectively, when model-based indirect standardization was used. When using random-effects models, zero and two hospitals were identified as having significantly higher mortality by using administrative and clinical data respectively. Approximately one in four hospitals changed at least two decile rankings when clinical data were used compared with when administrative data were used.
Journal of the Royal Statistical Society Series A (Statistics in Society) – Oxford University Press
Published: Aug 31, 2005
Keywords: Administrative data; Health services research; Hospital report cards; League tables; Provider profiling
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