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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学科分类号
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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