Conversion of STOPP/START version 2 into coded algorithms for software implementation: A multidisciplinary consensus procedure.
Background: The rapid digitalization of medical practice has attracted growing interest in developing software applications for clinical guidelines and explicit screening tools to detect potentially inappropriate prescribing, such as STOPP/START criteria. The aim of the current study was to develop...
| Publicado en: | International Journal of Medical Informatics Vol. 125; pp. 110 - 118 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Elsevier B.V.
May2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=135514949&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 135514949 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13865056 JR4 jtl: International Journal of Medical Informatics issn: 13865056 maglogo: N pubinfo: dt: May2019 vid: 125 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 135514949 135514949 NLM30914175 10.1016/j.ijmedinf.2018.12.010 NLM30914175 135514949 ppf: 110 ppct: 8 formats: tig: atl: Conversion of STOPP/START version 2 into coded algorithms for software implementation: A multidisciplinary consensus procedure. aug: au: Huibers, Corlina J.A. Sallevelt, Bastiaan T.G.M. de Groot, Dominique A. Boer, Maarten J. van Campen, Jos P.C.M. Davids, Cathelijn J. Hugtenburg, Jacqueline G. Vermeulen Windsant-Van den Tweel, Annemieke M.A. van Hout, Hein P.J. van Marum, Rob J. Meulendijk, Michiel C. affil: Department of Geriatric Medicine, University Medical Center Utrecht, Utrecht, the Netherlands sug: subj: Consensus Software Inappropriate Prescribing Algorithms Female Male Resource Databases Aged Scales Aged: 65+ years Female Male ab: Background: The rapid digitalization of medical practice has attracted growing interest in developing software applications for clinical guidelines and explicit screening tools to detect potentially inappropriate prescribing, such as STOPP/START criteria. The aim of the current study was to develop and provide logically unambiguous algorithms of STOPP/START criteria version 2, encoded with international disease and medication classification codes, to facilitate the development of software applications for multiple purposes.Methods: A four round multidisciplinary consensus and validation procedure was conducted to develop implementable coded algorithms for software applications of STOPP/START criteria version 2, based on ICD, ICPC, LOINC and ATC classification databases.Results: Consensus was reached for all 34 START criteria and 76 out of 80 STOPP criteria. The resulting 110 algorithms, modeled as inference rules in decision tables, are provided as supplementary data.Conclusion: This is the first study providing implementable algorithms for software applications based on STOPP/START version 2, validated in a computer decision support system. These algorithms could serve as a template for applying STOPP/START criteria version 2 to any software application, allowing for adaptations of the included ICD, ICPC and ATC codes and changing the cut-off levels for laboratory measurements to match local guidelines or clinical expertise. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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