Literature DB >> 22999725

The National Cardiovascular Data Registry (NCDR) Data Quality Brief: the NCDR Data Quality Program in 2012.

John C Messenger1, Kalon K L Ho, Christopher H Young, Lara E Slattery, Jasmine C Draoui, Jeptha P Curtis, Gregory J Dehmer, Frederick L Grover, Michael J Mirro, Matthew R Reynolds, Ivan C Rokos, John A Spertus, Tracy Y Wang, Stuart A Winston, John S Rumsfeld, Frederick A Masoudi.   

Abstract

OBJECTIVES: The National Cardiovascular Data Registry (NCDR) developed the Data Quality Program to meet the objectives of ensuring the completeness, consistency, and accuracy of data submitted to the observational clinical registries. The Data Quality Program consists of 3 main components: 1) a data quality report; 2) a set of internal quality assurance protocols; and 3) a yearly data audit program.
BACKGROUND: Since its inception in 1997, the NCDR has been the basis for the development of performance and quality metrics, site-level quality improvement programs, and peer-reviewed health outcomes research.
METHODS: Before inclusion in the registry, data are filtered through the registry-specific algorithms that require predetermined levels of completeness and consistency for submitted data fields as part of the data quality report. Internal quality assurance protocols enforce data standards before reporting. Within each registry, 300 to 625 records are audited annually in 25 randomly identified sites (i.e., 12 to 25 records per audited site).
RESULTS: In the 2010 audits, the participant average raw accuracy of data abstraction for the CathPCI Registry, ICD Registry, and ACTION Registry-GWTG were, respectively, 93.1% (range, 89.4% minimum, 97.4% maximum), 91.2% (range, 83.7% minimum, 95.7% maximum), and 89.7.% (range, 85% minimum, 95% maximum).
CONCLUSIONS: The 2010 audits provided evidence that many fields in the NCDR accurately represent the data from the medical charts. The American College of Cardiology Foundation is undertaking a series of initiatives aimed at creating a quality assurance rapid learning system, which, when complete, will monitor, evaluate, and improve data quality.
Copyright © 2012 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 22999725     DOI: 10.1016/j.jacc.2012.07.020

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  118 in total

1.  Evaluating the generalizability of a large streamlined cardiovascular trial: comparing hospitals and patients in the dual antiplatelet therapy study versus the National Cardiovascular Data Registry.

Authors:  Robert W Yeh; Matthew J Czarny; Sharon-Lise T Normand; Dean J Kereiakes; David R Holmes; Ralph G Brindis; W Douglas Weaver; John S Rumsfeld; Matthew T Roe; Sunghee Kim; Priscilla Driscoll-Shempp; Laura Mauri
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2014-11-16

Review 2.  Predictable and SuStainable Implementation of National Cardiovascular Registries (PASSION) infrastructure: A think tank report from Medical Device Epidemiological Network Initiative (MDEpiNet).

Authors:  Emily P Zeitler; Sana M Al-Khatib; Joseph P Drozda; Larry G Kessler; Ajay J Kirtane; David F Kong; John Laschinger; Danica Marinac-Dabic; Marie-Claude Morice; Terrie Reed; Art Sedrakyan; Kenneth M Stein; James Tcheng; Mitchell W Krucoff
Journal:  Am Heart J       Date:  2015-07-30       Impact factor: 4.749

3.  Geriatric Conditions in Patients Undergoing Defibrillator Implantation for Prevention of Sudden Cardiac Death: Prevalence and Impact on Mortality.

Authors:  Ariel R Green; Bruce Leff; Yongfei Wang; Erica S Spatz; Frederick A Masoudi; Pamela N Peterson; Stacie L Daugherty; Daniel D Matlock
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2015-12-29

4.  Patient selection for diagnostic coronary angiography and hospital-level percutaneous coronary intervention appropriateness: insights from the National Cardiovascular Data Registry.

Authors:  Steven M Bradley; John A Spertus; Kevin F Kennedy; Brahmajee K Nallamothu; Paul S Chan; Manesh R Patel; Chris L Bryson; David J Malenka; John S Rumsfeld
Journal:  JAMA Intern Med       Date:  2014-10       Impact factor: 21.873

5.  Acute Kidney Injury Following In-Patient Lower Extremity Vascular Intervention: From the National Cardiovascular Data Registry.

Authors:  David M Safley; Adam C Salisbury; Thomas T Tsai; Eric A Secemsky; Kevin F Kennedy; R Kevin Rogers; Faisal Latif; Nicolas W Shammas; Lawrence Garcia; Matthew A Cavender; Kenneth Rosenfield; Anand Prasad; John A Spertus
Journal:  JACC Cardiovasc Interv       Date:  2021-02-08       Impact factor: 11.195

6.  Contemporary Use and Trends in Unprotected Left Main Coronary Artery Percutaneous Coronary Intervention in the United States: An Analysis of the National Cardiovascular Data Registry Research to Practice Initiative.

Authors:  Javier A Valle; Hector Tamez; J Dawn Abbott; Issam D Moussa; John C Messenger; Stephen W Waldo; Kevin F Kennedy; Frederick A Masoudi; Robert W Yeh
Journal:  JAMA Cardiol       Date:  2019-02-01       Impact factor: 14.676

7.  Can machine learning complement traditional medical device surveillance? A case study of dual-chamber implantable cardioverter-defibrillators.

Authors:  Joseph S Ross; Jonathan Bates; Craig S Parzynski; Joseph G Akar; Jeptha P Curtis; Nihar R Desai; James V Freeman; Ginger M Gamble; Richard Kuntz; Shu-Xia Li; Danica Marinac-Dabic; Frederick A Masoudi; Sharon-Lise T Normand; Isuru Ranasinghe; Richard E Shaw; Harlan M Krumholz
Journal:  Med Devices (Auckl)       Date:  2017-08-16

8.  Association of Physician Certification in Interventional Cardiology With In-Hospital Outcomes of Percutaneous Coronary Intervention.

Authors:  Paul N Fiorilli; Karl E Minges; Jeph Herrin; John C Messenger; Henry H Ting; Brahmajee K Nallamothu; Rebecca S Lipner; Brian J Hess; Eric S Holmboe; Joseph J Brennan; Jeptha P Curtis
Journal:  Circulation       Date:  2015-09-18       Impact factor: 29.690

9.  Association of State Medicaid Expansion With Quality of Care and Outcomes for Low-Income Patients Hospitalized With Acute Myocardial Infarction.

Authors:  Rishi K Wadhera; Deepak L Bhatt; Tracy Y Wang; Di Lu; Joseph Lucas; Jose F Figueroa; Kirk N Garratt; Robert W Yeh; Karen E Joynt Maddox
Journal:  JAMA Cardiol       Date:  2019-02-01       Impact factor: 14.676

10.  Clinical Model to Predict 90-Day Risk of Readmission After Acute Myocardial Infarction.

Authors:  Vinay Kini; Pamela N Peterson; John A Spertus; Kevin F Kennedy; Suzanne V Arnold; Jason H Wasfy; Jeptha P Curtis; Steven M Bradley; Amit P Amin; P Michael Ho; Frederick A Masoudi
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2018-10
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.