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Measuring improved patient choice
Author(s) -
HolmesRovner Margaret,
R. Rovner David
Publication year - 2000
Publication title -
journal of evaluation in clinical practice
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.737
H-Index - 73
eISSN - 1365-2753
pISSN - 1356-1294
DOI - 10.1046/j.1365-2753.2000.00258.x
Subject(s) - consistency (knowledge bases) , decision aids , decision support system , decision analysis , outcome (game theory) , clinical decision support system , presentation (obstetrics) , medicine , measure (data warehouse) , expected utility hypothesis , patient satisfaction , population , computer science , data mining , nursing , artificial intelligence , statistics , alternative medicine , mathematics , pathology , mathematical economics , environmental health , radiology
Patient decision support (PDS) tools or decision aids have been developed as adjuncts to the clinical encounter. Their aim is to support evidence‐based patient choice. Clinical trials of PDS tools have used an array of outcome measures to determine efficacy, including knowledge, satisfaction, health status and consistency between patient choice and values. This paper proposes that the correlation between ‘subjective expected utility’ (SEU) and decision may be the best primary endpoint for trials. SEU is a measure usually used in behavioural decision theory. The paper first describes how decision support tools may use decision analysis to structure the presentation of evidence and guide patient decision‐making. Uses of expected utility (EU) are suggested for evaluating PDS tools when improving population health status is the objective. SEU is the theoretically better measure when internal consistency of patient choices is the objective.