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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Theoretical Medicine...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Theoretical Medicine & Bioethics
Article . 2010 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Choosing a patient-reported outcome measure

Authors: Leah McClimans; John Browne;

Choosing a patient-reported outcome measure

Abstract

There has been much philosophical interest regarding the 'hierarchy of evidence' used to determine which study designs are of most value for reporting on questions of effectiveness, prognosis, and so on. There has been much less philosophical interest in the choice of outcome measures with which the results of, say, an RCT or a cohort study are presented. In this paper, we examine the FDA's recently published guidelines for assessing the psychometric adequacy of patient-reported outcome measures. We focus on their recommendations for demonstrating content validity and also for how researchers should weigh up the sum of psychometric evidence when choosing these measures. We argue that questions regarding judgment and understanding meaning of these measures should play a more central role in determining their adequacy.

Keywords

Clinical Trials as Topic, Evidence-Based Medicine, Psychometrics, United States Food and Drug Administration, Reproducibility of Results, Guidelines as Topic, United Kingdom, United States, Judgment, Patient Satisfaction, Research Design, Outcome Assessment, Health Care, Humans

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    17
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Top 10%
Top 10%
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