Literature DB >> 25688146

Doing the right things and doing them the right way: association between hospital guideline adherence, dosing safety, and outcomes among patients with acute coronary syndrome.

Rajendra H Mehta1, Anita Y Chen2, Karen P Alexander2, E Magnus Ohman2, Matthew T Roe2, Eric D Peterson2.   

Abstract

BACKGROUND: Performance metrics currently focus on the measurement of the application of guideline-indicated medications without considering the appropriate dosing of these drugs. METHODS AND
RESULTS: We studied 39 291 patients from the Can Rapid Risk Stratification of Unstable Angina Patients Suppress Adverse Outcomes with Early Implementation of the ACC/AHA Guidelines (CRUSADE) registry with non-ST-segment elevation acute coronary syndromes. We evaluated hospital variability in the composite use of American College of Cardiology/American Heart Association guideline-recommended therapies (adherence) and the proportion of treated patients with the recommended dose of heparins or a glycoprotein IIb/IIIa antagonist (safety), and its association with risk-adjusted in-hospital mortality and bleeding. The rates of composite guideline adherence (median, 85%; 25th, 75th percentile, 82, 88) and antithrombotic dosing safety (median, 53%; 25th, 75th percentile, 45%, 60%) varied among hospitals. Correlation between hospital composite adherence and safety metrics was significant but low (r=0.16, P=0.008). Risk-adjusted in-hospital mortality was inversely related to both guideline adherence (odds ratio-10% increment, 0.80; 95% confidence interval, 0.67-0.94) and safety metrics (odds ratio-10% increment, 0.90; 95% confidence interval, 0.83-0.98). Safety was inversely related to major bleeding (adjusted odds ratio-10% increment, 0.93; 95% confidence interval, 0.87-0.98). In comparison with hospitals with low adherence and safety (≤median performance) metrics, those with mixed performance metrics (high adherence and low safety, low adherence and high safety) had intermediate risk-adjusted mortality rates, whereas hospitals with above-average performance on both metrics (>median performance) had a trend for lowest risk adjusted mortality rates (odds ratio 0.83; 95% confidence interval, 0.68-1.01). Hospitals with high safety had lower bleeding rates in comparison to those with low safety.
CONCLUSIONS: Guideline adherence and dosing safety appeared to provide independent and complementary information on hospital bleeding and mortality, supporting the need for broader metrics of quality that should include measures of both guideline-based care and safety.
© 2015 American Heart Association, Inc.

Entities:  

Keywords:  acute coronary syndrome; myocardial infarction; outcome assessment (health care); quality control; safety

Mesh:

Substances:

Year:  2015        PMID: 25688146     DOI: 10.1161/CIRCULATIONAHA.114.013451

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  7 in total

1.  Analysis of Outcomes in Ischemic vs Nonischemic Cardiomyopathy in Patients With Atrial Fibrillation: A Report From the GARFIELD-AF Registry.

Authors:  Ramon Corbalan; Jean-Pierre Bassand; Laura Illingworth; Giuseppe Ambrosio; A John Camm; David A Fitzmaurice; Keith A A Fox; Samuel Z Goldhaber; Shinya Goto; Sylvia Haas; Gloria Kayani; Lorenzo G Mantovani; Frank Misselwitz; Karen S Pieper; Alexander G G Turpie; Freek W A Verheugt; Ajay K Kakkar
Journal:  JAMA Cardiol       Date:  2019-06-01       Impact factor: 14.676

2.  Hospital Variation in Adherence Rates to Secondary Prevention Medications and the Implications on Quality.

Authors:  Robin Mathews; William Wang; Lisa A Kaltenbach; Laine Thomas; Rashmee U Shah; Murtuza Ali; Eric D Peterson; Tracy Y Wang
Journal:  Circulation       Date:  2018-01-31       Impact factor: 29.690

Review 3.  When Payment Models Distort Perceptions and Care Delivery forPatients With Heart Failure.

Authors:  Boback Ziaeian; Gregg C Fonarow
Journal:  J Card Fail       Date:  2019-02-26       Impact factor: 5.712

4.  Prasugrel Versus Ticagrelor in Patients With CYP2C19 Loss-of-Function Genotypes: Results of a Randomized Pharmacodynamic Study in a Feasibility Investigation of Rapid Genetic Testing.

Authors:  Francesco Franchi; Fabiana Rollini; Jose Rivas; Andrea Rivas; Malhar Agarwal; Maryuri Briceno; Mustafa Wali; Ahmed Nawaz; Gabriel Silva; Zubair Shaikh; Naji Maailiki; Latonya Been; Andres M Pineda; Siva Suryadevara; Daniel Soffer; Martin M Zenni; Theodore A Bass; Dominick J Angiolillo
Journal:  JACC Basic Transl Sci       Date:  2020-03-25

5.  Risk factors for death, stroke, and bleeding in 28,628 patients from the GARFIELD-AF registry: Rationale for comprehensive management of atrial fibrillation.

Authors:  Jean-Pierre Bassand; Gabriele Accetta; Wael Al Mahmeed; Ramon Corbalan; John Eikelboom; David A Fitzmaurice; Keith A A Fox; Haiyan Gao; Samuel Z Goldhaber; Shinya Goto; Sylvia Haas; Gloria Kayani; Karen Pieper; Alexander G G Turpie; Martin van Eickels; Freek W A Verheugt; Ajay K Kakkar
Journal:  PLoS One       Date:  2018-01-25       Impact factor: 3.240

6.  Pre- and in-hospital antithrombotic management patterns and in-hospital outcomes in patients with acute coronary syndrome: data from the Turkish arm of the EPICOR study.

Authors:  Fatih Sinan Ertaş; Lale Tokgözoğlu
Journal:  Anatol J Cardiol       Date:  2016-06-29       Impact factor: 1.596

7.  Age Differences in Hospital Mortality for Acute Myocardial Infarction: Implications for Hospital Profiling.

Authors:  Kumar Dharmarajan; Robert L McNamara; Yongfei Wang; Frederick A Masoudi; Joseph S Ross; Erica E Spatz; Nihar R Desai; James A de Lemos; Gregg C Fonarow; Paul A Heidenreich; Deepak L Bhatt; Susannah M Bernheim; Lara E Slattery; Yosef M Khan; Jeptha P Curtis
Journal:  Ann Intern Med       Date:  2017-09-26       Impact factor: 51.598

  7 in total

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