Vinay Gulati, Ossama Elsaid, Matthew W Parker, Michael Thorns, Thea Ling, Steven Zweibel
{"title":"Effect of an Educational Intervention on the Accuracy of Data Submitted to a National Quality Registry.","authors":"Vinay Gulati, Ossama Elsaid, Matthew W Parker, Michael Thorns, Thea Ling, Steven Zweibel","doi":"","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>We hypothesize that data-entry errors within the National Cardiovascular Data Registry® (NCDR) ICD Registry™ may be an important reason behind labeling many cases as nonevidence-based.</p><p><strong>Objective: </strong>To describethe frequency of data-entry errors in implantable cardioverter-defibrillator (lCD) implant data from our institution and develop a plan for quality improvement using the Deming cycle.</p><p><strong>Methods and results: </strong>We assessed data of patient report forms from2007to 2010 and compared these data with forms submitted from 2011 to 2012 after implementation of a continuous multicomponent staff education and training program. Of 211 ICD implants between 2007 and 2010, 36 (17%) were labeled nonevidence-based. Twenty-four (11.4%) resulted from misclassification due to data entry errors and 12 (5.7%) were actual nonevidence-based. Postintervention, review of 97 submitted patients' data revealed one (1%) data-entry error and three (3.1%) actual nonevidence-based implants.</p><p><strong>Conclusions: </strong>Multicomponent educational intervention was effective in reducing errors in data sub- mitted to the NCDR ICD Registry.</p>","PeriodicalId":35577,"journal":{"name":"Connecticut Medicine","volume":"81 4","pages":"197-202"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Connecticut Medicine","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Background: We hypothesize that data-entry errors within the National Cardiovascular Data Registry® (NCDR) ICD Registry™ may be an important reason behind labeling many cases as nonevidence-based.
Objective: To describethe frequency of data-entry errors in implantable cardioverter-defibrillator (lCD) implant data from our institution and develop a plan for quality improvement using the Deming cycle.
Methods and results: We assessed data of patient report forms from2007to 2010 and compared these data with forms submitted from 2011 to 2012 after implementation of a continuous multicomponent staff education and training program. Of 211 ICD implants between 2007 and 2010, 36 (17%) were labeled nonevidence-based. Twenty-four (11.4%) resulted from misclassification due to data entry errors and 12 (5.7%) were actual nonevidence-based. Postintervention, review of 97 submitted patients' data revealed one (1%) data-entry error and three (3.1%) actual nonevidence-based implants.
Conclusions: Multicomponent educational intervention was effective in reducing errors in data sub- mitted to the NCDR ICD Registry.
期刊介绍:
The Connecticut State Medical Society (CSMS) is a federation of eight component county medical associations, with a total membership exceeding 7,000 physicians. CSMS itself is a constituent state entity of the American Medical Association. Founded by the physician-patriots of the American Revolution, the Society operates from a heritage of democratic principles embodied in its Charter and Bylaws. The base of all authority in CSMS is, of course, the individual physician member. It is the decisions of members in their own county associations that ultimately determine the nature of the Society"s policies and activities.