Decision threshold models in medical decision making: a scoping literature review.

Autor: Scarffe A; Telfer School of Management, University of Ottawa, Ottawa, ON, Canada. ascar083@uottawa.ca.; Ottawa Hospital Research Institute, The Ottawa Hospital, Ottawa, ON, Canada. ascar083@uottawa.ca.; Bob Gaglardi School of Business and Economics, Thompson Rivers University, Kamloops, BC, Canada. ascar083@uottawa.ca., Coates A; Telfer School of Management, University of Ottawa, Ottawa, ON, Canada., Brand K; Telfer School of Management, University of Ottawa, Ottawa, ON, Canada., Michalowski W; Telfer School of Management, University of Ottawa, Ottawa, ON, Canada.
Jazyk: angličtina
Zdroj: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2024 Sep 27; Vol. 24 (1), pp. 273. Date of Electronic Publication: 2024 Sep 27.
DOI: 10.1186/s12911-024-02681-2
Abstrakt: Background: Decision thresholds play important role in medical decision-making. Individual decision-making differences may be attributable to differences in subjective judgments or cognitive processes that are captured through the decision thresholds. This systematic scoping review sought to characterize the literature on non-expected utility decision thresholds in medical decision-making by identifying commonly used theoretical paradigms and contextual and subjective factors that inform decision thresholds.
Methods: A structured search designed around three concepts-individual decision-maker, decision threshold, and medical decision-was conducted in MEDLINE (Ovid) and Scopus databases from inception to July 2023. ProQuest (Dissertations and Theses) database was searched to August 2023. The protocol, developed a priori, was registered on Open Science Framework and PRISMA-ScR guidelines were followed for reporting on this study. Titles and abstracts of 1,618 articles and the full texts for the 228 included articles were reviewed by two independent reviewers. 95 articles were included in the analysis. A single reviewer used a pilot-tested data collection tool to extract study and author characteristics, article type, objectives, theoretical paradigm, contextual or subjective factors, decision-maker, and type of medical decision.
Results: Of the 95 included articles, 68 identified a theoretical paradigm in their approach to decision thresholds. The most common paradigms included regret theory, hybrid theory, and dual processing theory. Contextual and subjective factors that influence decision thresholds were identified in 44 articles.
Conclusions: Our scoping review is the first to systematically characterizes the available literature on decision thresholds within medical decision-making. This study offers an important characterization of the literature through the identification of the theoretical paradigms for non-expected utility decision thresholds. Moreover, this study provides insight into the various contextual and subjective factors that have been documented within the literature to influence decision thresholds, as well as these factors juxtapose theoretical paradigms.
(© 2024. The Author(s).)
Databáze: MEDLINE
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