Literature DB >> 22010200

Comparison of composite measure methodologies for rewarding quality of care: an analysis from the American Heart Association's Get With The Guidelines program.

Zubin J Eapen1, Gregg C Fonarow, David Dai, Sean M O'Brien, Lee H Schwamm, Christopher P Cannon, Paul A Heidenreich, Deepak L Bhatt, Eric D Peterson, Adrian F Hernandez.   

Abstract

BACKGROUND: Composite indices of health care performance are an aggregation of underlying individual performance measures and are increasingly being used to rank hospitals. We sought to conduct an observational analysis to determine the influence of the opportunity-based and all-or-none composite performance measures on hospital rankings. METHODS AND
RESULTS: We examined 194 245 patients hospitalized with acute myocardial infarction between July 2006 and June 2009 from 334 hospitals participating in the Get With The Guidelines--Coronary Artery Disease (GWTG-CAD) quality improvement program. We analyzed hospital opportunity-based and all-or-none composite scores and 30-day risk-standardized all-cause mortality and readmission rates. We found that the median calculated opportunity-based score for these hospitals was 95.5 (interquartile range, 90.4, 98.0). The median all-or-none score was 88.9 (interquartile range, 79.7, 94.4). The 2 scoring methods were significantly correlated with one another (r=0.98, P<0.001). Rankings generated by the two methods were significantly correlated (r=0.93, P<0.001). The two methods had a modest correlation with the 30-day risk-standardized mortality rate (opportunity-based score: r=-0.25, P<0.001; all-or-none score: r=-0.24, P<0.001). Neither composite measure correlated with the 30-day risk-standardized readmission rate. Over time, the number of hospitals new to the top and bottom quintiles of hospital rankings diminished similarly for both composite measures. When including additional performance measures into the composite score, the two methods produced similar changes in hospital rankings.
CONCLUSIONS: The opportunity-based and all-or-none coronary artery disease composite indices are highly correlated and yield similar ranking of the top and bottom quintiles of hospitals. The two methods provide similarly modest correlations with 30-day mortality, but not readmission.

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Year:  2011        PMID: 22010200     DOI: 10.1161/CIRCOUTCOMES.111.961391

Source DB:  PubMed          Journal:  Circ Cardiovasc Qual Outcomes        ISSN: 1941-7713


  10 in total

1.  Composite Measures of Health Care Provider Performance: A Description of Approaches.

Authors:  Michael Shwartz; Joseph D Restuccia; Amy K Rosen
Journal:  Milbank Q       Date:  2015-12       Impact factor: 4.911

2.  Association Between Hospital Process Composite Performance and Patient Outcomes After In-Hospital Cardiac Arrest Care.

Authors:  Monique L Anderson; Graham Nichol; David Dai; Paul S Chan; Laine Thomas; Sana M Al-Khatib; Robert A Berg; Steven M Bradley; Eric D Peterson
Journal:  JAMA Cardiol       Date:  2016-04-01       Impact factor: 14.676

3.  Handling missing data in a composite outcome with partially observed components: simulation study based on clustered paediatric routine data.

Authors:  Susan Gachau; Edmund Njeru Njagi; Nelson Owuor; Paul Mwaniki; Matteo Quartagno; Rachel Sarguta; Mike English; Philip Ayieko
Journal:  J Appl Stat       Date:  2021-03-17       Impact factor: 1.416

4.  Use of Guideline-Based Therapy for Diabetes, Coronary Artery Disease, and Chronic Kidney Disease After Acute Kidney Injury: A Retrospective Observational Study.

Authors:  Sunchit Madan; Patrick A Norman; Ron Wald; Javier A Neyra; Alejandro Meraz-Muñoz; Ziv Harel; Samuel A Silver
Journal:  Can J Kidney Health Dis       Date:  2022-06-14

5.  An assessment of composite measures of hospital performance and associated mortality for patients with acute myocardial infarction. Analysis of individual hospital performance and outcome for the National Institute for Cardiovascular Outcomes Research (NICOR).

Authors:  Alexander D Simms; Paul D Baxter; Brian A Cattle; Phillip D Batin; John I Wilson; Robert M West; Alistair S Hall; Clive F Weston; John E Deanfield; Keith A Fox; Chris P Gale
Journal:  Eur Heart J Acute Cardiovasc Care       Date:  2013-03

6.  Composite measures of quality of health care: Evidence mapping of methodology and reporting.

Authors:  Pinar Kara; Jan Brink Valentin; Jan Mainz; Søren Paaske Johnsen
Journal:  PLoS One       Date:  2022-05-12       Impact factor: 3.240

7.  Geographic variation in the treatment of non-ST-segment myocardial infarction in the English National Health Service: a cohort study.

Authors:  T B Dondo; M Hall; A D Timmis; A T Yan; P D Batin; G Oliver; O A Alabas; P Norman; J E Deanfield; K Bloor; H Hemingway; C P Gale
Journal:  BMJ Open       Date:  2016-07-12       Impact factor: 2.692

Review 8.  Registry-Based Pragmatic Trials in Heart Failure: Current Experience and Future Directions.

Authors:  Lars H Lund; Jonas Oldgren; Stefan James
Journal:  Curr Heart Fail Rep       Date:  2017-04

9.  Rationale and design of the improving Care for Cardiovascular Disease in China (CCC) project: a national registry to improve management of atrial fibrillation.

Authors:  Yongchen Hao; Jing Liu; Sidney C Smith; Yong Huo; Gregg C Fonarow; Junbo Ge; Jun Liu; Kathryn A Taubert; Louise Morgan; Yang Guo; Mengge Zhou; Dong Zhao; Changsheng Ma
Journal:  BMJ Open       Date:  2018-07-05       Impact factor: 2.692

10.  Analysis of Hierarchical Routine Data With Covariate Missingness: Effects of Audit & Feedback on Clinicians' Prescribed Pediatric Pneumonia Care in Kenyan Hospitals.

Authors:  Susan Gachau; Nelson Owuor; Edmund Njeru Njagi; Philip Ayieko; Mike English
Journal:  Front Public Health       Date:  2019-07-16
  10 in total

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