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Making the Best Match: Selecting Outcome Measures for Clinical Trials and Outcome Studies
Author(s) -
Wendy J. Coster
Publication year - 2013
Publication title -
american journal of occupational therapy
Language(s) - English
Resource type - Journals
eISSN - 1943-7676
pISSN - 0272-9490
DOI - 10.5014/ajot.2013.006015
Subject(s) - outcome (game theory) , clinical trial , psychology , population , selection (genetic algorithm) , computer science , management science , medicine , artificial intelligence , engineering , mathematics , environmental health , mathematical economics , pathology
Selecting an appropriate outcome measure is a critical step in designing valid and useful clinical trials and outcome studies. This selection process needs to extend beyond examining basic psychometric properties to consider additional features of instruments that may affect their validity and utility for the study's purpose. This article discusses these additional factors and their potential impact on outcome measurement. Guidelines are proposed to help clinical researchers and consumers of clinical research literature evaluate the match between the study purpose, population, and instrument.

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