Literature DB >> 21792659

Interpretability, validity, and the minimum important difference.

Leah McClimans1.   

Abstract

Patient-reported outcomes are increasingly used as dependent variables in studies regarding the effectiveness of clinical interventions. But patient-reported outcome measures (PROMs) do not provide intuitively meaningful data. For instance, it is not clear what a five point increase or decrease on a particular scale signifies. Establishing 'interpretability' involves making changes in outcomes meaningful. Attempts to interpret PROMs have led to the development of methods for identifying a minimum important difference (MID). In this paper, however, I draw on Charles Taylor's distinction between weak and strong evaluations to suggest that identifying a MID, specifically, a MID that uses a patient-reported reference group, may not provide an adequate interpretation of these measures. Moreover, I argue that the difficulty with interpreting these measures is tied to a larger problem concerning their validity. If researchers wish to interpret PROMs, they may first need to know more about the constructs they attempt to measure, namely, quality of life.

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Year:  2011        PMID: 21792659     DOI: 10.1007/s11017-011-9186-9

Source DB:  PubMed          Journal:  Theor Med Bioeth        ISSN: 1386-7415


  19 in total

1.  Commentary--goodbye M(C)ID! Hello MID, where do you come from?

Authors:  Holger J Schünemann; Gordon H Guyatt
Journal:  Health Serv Res       Date:  2005-04       Impact factor: 3.402

2.  Denouement: a patient-reported observation.

Authors:  Cynthia Chauhan
Journal:  Value Health       Date:  2007 Nov-Dec       Impact factor: 5.725

Review 3.  Rating scales as outcome measures for clinical trials in neurology: problems, solutions, and recommendations.

Authors:  Jeremy C Hobart; Stefan J Cano; John P Zajicek; Alan J Thompson
Journal:  Lancet Neurol       Date:  2007-12       Impact factor: 44.182

Review 4.  Recommended methods for determining responsiveness and minimally important differences for patient-reported outcomes.

Authors:  Dennis Revicki; Ron D Hays; David Cella; Jeff Sloan
Journal:  J Clin Epidemiol       Date:  2007-08-03       Impact factor: 6.437

5.  Opening the black box of cancer patients' quality-of-life change assessments: a think-aloud study examining the cognitive processes underlying responses to transition items.

Authors:  Elsbeth F Taminiau-Bloem; Florence J Van Zuuren; Mechteld R M Visser; Carol Tishelman; Carolyn E Schwartz; Margot A Koeneman; Caro C E Koning; Mirjam A G Sprangers
Journal:  Psychol Health       Date:  2011-07-08

6.  Measurement of health status. Ascertaining the minimal clinically important difference.

Authors:  R Jaeschke; J Singer; G H Guyatt
Journal:  Control Clin Trials       Date:  1989-12

7.  Understanding global transition assessments.

Authors:  Kathleen W Wyrwich; Vicki M Tardino
Journal:  Qual Life Res       Date:  2006-08       Impact factor: 4.147

8.  Patient expectations of benefit from phase I clinical trials: linguistic considerations in diagnosing a therapeutic misconception.

Authors:  K P Weinfurt; D P Sulmasy; K A Schulman; N J Meropol
Journal:  Theor Med Bioeth       Date:  2003

9.  How a well-grounded minimal important difference can enhance transparency of labelling claims and improve interpretation of a patient reported outcome measure.

Authors:  Jan L Brozek; Gordon H Guyatt; Holger J Schünemann
Journal:  Health Qual Life Outcomes       Date:  2006-09-27       Impact factor: 3.186

10.  Listen to their answers! Response behaviour in the measurement of physical and role functioning.

Authors:  Marjan J Westerman; Tony Hak; Mirjam A G Sprangers; Harry J M Groen; Gerrit van der Wal; Anne-Mei The
Journal:  Qual Life Res       Date:  2008-05       Impact factor: 4.147

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  6 in total

1.  Felicitometric hermeneutics: interpreting quality of life measurements.

Authors:  Charles J Kowalski; Jan L Bernheim; Nancy Adair Birk; Peter Theuns
Journal:  Theor Med Bioeth       Date:  2012-06

2.  Philosophical perspectives on response shift.

Authors:  Leah McClimans; Jerome Bickenbach; Marjan Westerman; Licia Carlson; David Wasserman; Carolyn Schwartz
Journal:  Qual Life Res       Date:  2012-10-28       Impact factor: 4.147

3.  Estimating the minimum important change in the 15D scores.

Authors:  Soili Alanne; Risto P Roine; Pirjo Räsänen; Tarja Vainiola; Harri Sintonen
Journal:  Qual Life Res       Date:  2014-08-22       Impact factor: 4.147

4.  Using feedback tools to enhance the quality and experience of care.

Authors:  Jan R Boehnke; Claudia Rutherford
Journal:  Qual Life Res       Date:  2021-11       Impact factor: 4.147

5.  Interpretation and use of patient-reported outcome measures through a philosophical lens.

Authors:  Jae Yung Kwon; Sally Thorne; Richard Sawatzky
Journal:  Qual Life Res       Date:  2018-11-19       Impact factor: 4.147

Review 6.  Questionnaire validation practice within a theoretical framework: a systematic descriptive literature review of health literacy assessments.

Authors:  Melanie Hawkins; Gerald R Elsworth; Elizabeth Hoban; Richard H Osborne
Journal:  BMJ Open       Date:  2020-06-01       Impact factor: 2.692

  6 in total

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