Show simple item record

dc.contributor.authorLacson, Ronilda C.
dc.contributor.authorRaja, Ali Shahbaz
dc.contributor.authorIp, Ivan
dc.contributor.authorSchneider, Louise Isabel
dc.contributor.authorBain, Paul A.
dc.contributor.authorMita, Carol Ann
dc.contributor.authorWhelan, Julia
dc.contributor.authorSilveira, Patricia
dc.contributor.authorDement, David
dc.contributor.authorKhorasani, Ramin
dc.contributor.authorOsterbur, David Lee
dc.date.accessioned2018-03-10T16:54:33Z
dc.date.issued2016
dc.identifier.citationLacson, Ronilda, Ali S Raja, David Osterbur, Ivan Ip, Louise Schneider, Paul Bain, Carol Mita, et al. 2016. “Assessing Strength of Evidence of Appropriate Use Criteria for Diagnostic Imaging Examinations.” Journal of the American Medical Informatics Association 23 (3) (January 17): 649–653. doi:10.1093/jamia/ocv194.en_US
dc.identifier.issn1067-5027en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:34908222
dc.description.abstractObjective For health information technology tools to fully inform evidence-based decisions, recommendations must be reliably assessed for quality and strength of evidence. We aimed to create an annotation framework for grading recommendations regarding appropriate use of diagnostic imaging examinations. Methods The annotation framework was created by an expert panel (clinicians in three medical specialties, medical librarians, and biomedical scientists) who developed a process for achieving consensus in assessing recommendations, and evaluated by measuring agreement in grading the strength of evidence for 120 empirically selected recommendations using the Oxford Levels of Evidence. Results Eighty-two percent of recommendations were assigned to Level 5 (expert opinion). Inter-annotator agreement was 0.70 on initial grading (κ = 0.35, 95% CI, 0.23-0.48). After systematic discussion utilizing the annotation framework, agreement increased significantly to 0.97 (κ = 0.88, 95% CI, 0.77-0.99). Conclusions A novel annotation framework was effective for grading the strength of evidence supporting appropriate use criteria for diagnostic imaging exams.en_US
dc.language.isoen_USen_US
dc.publisherOxford University Press (OUP)en_US
dc.relation.isversionofdoi:10.1093/jamia/ocv194en_US
dash.licenseLAA
dc.subjectClinical decision support systemen_US
dc.subjectclinical practice guidelinesen_US
dc.subjectevidence-based practiceen_US
dc.subjectdiagnostic imagingen_US
dc.titleAssessing Strength of Evidence of Appropriate Use Criteria for Diagnostic Imaging Examinationsen_US
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden_US
dc.relation.journalJournal of the American Medical Informatics Associationen_US
dash.depositing.authorOsterbur, David Lee
dc.date.available2018-03-10T16:54:33Z
dc.identifier.doi10.1093/jamia/ocv194*
dash.authorsorderedfalse
dash.contributor.affiliatedSchneider, Louise
dash.contributor.affiliatedMita, Carol
dash.contributor.affiliatedDement, David
dash.contributor.affiliatedWhelan, Julia S
dash.contributor.affiliatedBain, Paul
dash.contributor.affiliatedLacson, Ronilda
dash.contributor.affiliatedOsterbur, David
dash.contributor.affiliatedRaja, Ali
dash.contributor.affiliatedKhorasani, Ramin
dash.contributor.affiliatedIp, Ivan


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record