Literature DB >> 17136968

The minimally clinically important difference in generic utility-based measures.

Robert M Kaplan1.   

Abstract

PURPOSE: To evaluate the use of utility-based generic quality of life measures for establishing the minimally clinically important difference (MCID).
BACKGROUND: Utility-based quality of life measures place levels of wellness on a continuum anchored by death (0.00) and optimum function (1.00). Preference measurement studies are used to define the meaning of points along the continuum. Health states that differ by less than 0.03 units cannot be discriminated by panels of judges as different from one another. Thus, 0.03 is a reasonable MCID for these measures.
METHOD: Three published studies of patients with Chronic Obstructive Pulmonary Disease (COPD) reported data on the Quality of Well-being Scale (QWB) before and after pulmonary rehabilitation. One of the studies also randomly assigned patients to lung volume reduction surgery or to maximal medical therapy. These patients were followed for an average of 29 months.
RESULTS: All three evaluations of pulmonary rehabilitation showed changes on the QWB in excess of the proposed 0.03 MCID. QWB changes for patients assigned to lung volume reduction surgery were close to the MCID threshold at one year but grew stronger in subsequent years. Using Norman's 0.50 standard deviation method, all three estimates of rehabilitation effectiveness and the outcomes one year following surgery fall below the MCID.
CONCLUSION: Different methods for estimating MCID lead to different conclusions about the meaning of quality of life changes following pulmonary rehabilitation and lung volume reduction surgery. The preference scaling system in generic utility-based quality of life measures provides a metric that is directly interpretable and avoids many of the criticisms of MCID measures. The method is sensitive enough to suggest clinically meaningful benefits of rehabilitation and surgery. Further, quality adjusted life years offer a valuable metric for policy analysis. Utility-based measures of health related quality of life should gain greater use in COPD outcomes research.

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Year:  2005        PMID: 17136968     DOI: 10.1081/copd-200052090

Source DB:  PubMed          Journal:  COPD        ISSN: 1541-2563            Impact factor:   2.409


  37 in total

1.  The effect of weight loss on changes in health-related quality of life among overweight and obese women with urinary incontinence.

Authors:  Angela Marinilli Pinto; Leslee L Subak; Sanae Nakagawa; Eric Vittinghoff; Rena R Wing; John W Kusek; William H Herman; Delia Smith West; Miriam Kuppermann
Journal:  Qual Life Res       Date:  2011-12-10       Impact factor: 4.147

2.  Predictors of patient self-ratings of quality of life in Alzheimer disease: cross-sectional results from the Canadian Alzheimer's Disease Quality of Life Study.

Authors:  Gary Naglie; David B Hogan; Murray Krahn; B Lynn Beattie; Sandra E Black; Chris Macknight; Morris Freedman; Christopher Patterson; Michael Borrie; Howard Bergman; Anna Byszewski; David Streiner; Jane Irvine; Paul Ritvo; Janna Comrie; Matthew Kowgier; George Tomlinson
Journal:  Am J Geriatr Psychiatry       Date:  2011-10       Impact factor: 4.105

3.  Predictors of family caregiver ratings of patient quality of life in Alzheimer disease: cross-sectional results from the Canadian Alzheimer's Disease Quality of Life Study.

Authors:  Gary Naglie; David B Hogan; Murray Krahn; Sandra E Black; B Lynn Beattie; Christopher Patterson; Chris Macknight; Morris Freedman; Michael Borrie; Anna Byszewski; Howard Bergman; David Streiner; Jane Irvine; Paul Ritvo; Janna Comrie; Matthew Kowgier; George Tomlinson
Journal:  Am J Geriatr Psychiatry       Date:  2011-10       Impact factor: 4.105

4.  Race and preference-based health-related quality of life measures in the United States.

Authors:  Claudia C A Pereira; Mari Palta; John Mullahy; Dennis G Fryback
Journal:  Qual Life Res       Date:  2010-12-23       Impact factor: 4.147

5.  Agreement about identifying patients who change over time: cautionary results in cataract and heart failure patients.

Authors:  David Feeny; Karen Spritzer; Ron D Hays; Honghu Liu; Theodore G Ganiats; Robert M Kaplan; Mari Palta; Dennis G Fryback
Journal:  Med Decis Making       Date:  2011-10-18       Impact factor: 2.583

6.  Health-related quality of life in older adults at risk for disability.

Authors:  Erik J Groessl; Robert M Kaplan; W Jack Rejeski; Jeffrey A Katula; Abby C King; Georita Frierson; Nancy W Glynn; Fang-Chi Hsu; Michael Walkup; Marco Pahor
Journal:  Am J Prev Med       Date:  2007-09       Impact factor: 5.043

7.  Poor Outcomes Among Patients With Chronic Obstructive Pulmonary Disease With Higher Risk for Undiagnosed Obstructive Sleep Apnea in the LOTT Cohort.

Authors:  Lucas M Donovan; Laura C Feemster; Edmunds M Udris; Matthew F Griffith; Laura J Spece; Brian N Palen; Ken He; Sairam Parthasarathy; Kingman P Strohl; Vishesh K Kapur; David H Au
Journal:  J Clin Sleep Med       Date:  2019-01-15       Impact factor: 4.062

8.  Physical Activity and Performance Impact Long-term Quality of Life in Older Adults at Risk for Major Mobility Disability.

Authors:  Erik J Groessl; Robert M Kaplan; W Jack Rejeski; Jeffrey A Katula; Nancy W Glynn; Abby C King; Stephen D Anton; Michael Walkup; Ching-Ju Lu; Kieran Reid; Bonnie Spring; Marco Pahor
Journal:  Am J Prev Med       Date:  2019-01       Impact factor: 5.043

9.  Mental health and the relationship between health promotion counseling and health outcomes in chronic conditions: cross-sectional population-based study.

Authors:  Fatima Al Sayah; Calypse Agborsangaya; Markus Lahtinen; Tim Cooke; Jeffrey A Johnson
Journal:  Can Fam Physician       Date:  2014-02       Impact factor: 3.275

10.  Measuring health-related quality of life in population-based studies of coronary heart disease: comparing six generic indexes and a disease-specific proxy score.

Authors:  Noelle C Garster; Mari Palta; Nancy K Sweitzer; Robert M Kaplan; Dennis G Fryback
Journal:  Qual Life Res       Date:  2009-09-16       Impact factor: 4.147

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