Framework for the impact analysis and implementation of Clinical Prediction Rules (CPRs)

被引:0
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作者
Emma Wallace
Susan M Smith
Rafael Perera-Salazar
Paul Vaucher
Colin McCowan
Gary Collins
Jan Verbakel
Monica Lakhanpaul
Tom Fahey
机构
[1] Department of General Practice,
[2] Royal College of Surgeons in Ireland,undefined
[3] Department of Primary Health Care,undefined
[4] University of Oxford,undefined
[5] Department of Community Medicine and Primary Care,undefined
[6] University of Geneva,undefined
[7] School of Medicine,undefined
[8] University of Dundee,undefined
[9] Centre for Statistics in Medicine,undefined
[10] University of Oxford,undefined
[11] Department of General Practice,undefined
[12] Katholieke University,undefined
[13] Department of Medical and Social Care Education,undefined
[14] University of Leicester,undefined
关键词
Impact Analysis; Clinical Decision Support System; Guideline Implementation; Clinical Prediction Rule; Physical Component Summary Scale;
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摘要
Clinical Prediction Rules (CPRs) are tools that quantify the contribution of symptoms, clinical signs and available diagnostic tests, and in doing so stratify patients according to the probability of having a target outcome or need for a specified treatment. Most focus on the derivation stage with only a minority progressing to validation and very few undergoing impact analysis. Impact analysis studies remain the most efficient way of assessing whether incorporating CPRs into a decision making process improves patient care. However there is a lack of clear methodology for the design of high quality impact analysis studies.
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