Methods to incorporate patient preferences into medical decision algorithms and models, and their quantification, balancing, and evaluation: a scoping review protocol.
Objective: The objective of this scoping review is to identify and map methods used to incorporate patient preferences into medical algorithms and models as well as to report on their quantification, balancing, and evaluation in the literature. The review will focus on computational methods for inco...
| Publicado en: | JBI Evidence Synthesis Vol. 22; no. 12; pp. 2593 - 2601 |
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| Autores principales: | , , |
| Formato: | protocol tables/charts Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
Dec2024
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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=181539328&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 181539328 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 26898381 MFQS jtl: JBI Evidence Synthesis issn: 26898381 maglogo: N pubinfo: dt: Dec2024 vid: 22 iid: 12 pid: 433 pub: Lippincott Williams & Wilkins place: Baltimore, Maryland artinfo: ui: 181539328 181539328 181539328 10.11124/JBIES-23-00498 181539328 ppf: 2593 ppct: 8 formats: tig: atl: Methods to incorporate patient preferences into medical decision algorithms and models, and their quantification, balancing, and evaluation: a scoping review protocol. aug: au: Fusiak, Jakub Mansmann, Ulrich Hoffmann, Verena S. affil: Institute for Medical Information Processing, Biometry and Epidemiology – IBE, Faculty of Medicine, LMU Munich, Munich, Germany sug: subj: Patient Preference Algorithms Classification Decision Support Systems, Management Classification Decision Making, Clinical Peer Review Practice Guidelines Research Methodology Software Scoping Review ab: Objective: The objective of this scoping review is to identify and map methods used to incorporate patient preferences into medical algorithms and models as well as to report on their quantification, balancing, and evaluation in the literature. The review will focus on computational methods for incorporating patient preferences into algorithms and models at an individual level as well as the types of medical algorithms and models in which these methods have been applied. Introduction: Medical algorithms and models are increasingly being used to support clinical and shared decision-making; however, their effectiveness, accuracy, acceptance, and comprehension may be limited if patients' preferences are not considered. To address this issue, it is important to explore methods integrating patient preferences. Inclusion criteria: This review will investigate patient preferences and their integration into medical algorithms and models for individual-level clinical decision-making. The scoping review will include diverse sources, such as peer-reviewed articles, clinical practice guidelines, gray literature, government reports, guidelines, and expert opinions for a comprehensive investigation of the subject. Methods: This scoping review will follow JBI methodology. A comprehensive search will be conducted in PubMed, Web of Science, ACM Digital Library, IEEE Xplore, the Cochrane Library, OpenGrey, the National Technical Reports Library, and the first 20 pages of Google Scholar. The search strategy will include keywords related to patient preferences, medical algorithms and models, decision-making, and software tools and frameworks. Data extraction and analysis will be guided by the JBI framework, which includes an explorative and qualitative analysis. Review registration: Open Science Framework https://osf.io/qg3b5 pubtype: Academic Journal doctype: protocol tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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