2005
DOI: 10.1081/copd-200050663
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Approaches and Recommendations for Estimating Minimally Important Differences for Health-Related Quality of Life Measures

Abstract: We describe currently available approaches for estimating the minimally important difference (MID) and their associated strengths and weaknesses. Specifically, we show that anchor-based methods should be the primary method of estimating the MID because of the limitations of distribution-based methods. In addition, we provide recommendations for estimating the MID in future research.

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Cited by 206 publications
(208 citation statements)
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“…The impact of a change by .1 point is considered significant on a 5-category scale. 33,34 HRQL data were analyzed for changes in mean HRQL score from pretransplant measurement and performed as an exploratory analysis, given the small sample size. A paired Student t test was used to assess changes from baseline to each posttransplant time point (day 100, 6 months, and 1 year).…”
Section: Discussionmentioning
confidence: 99%
“…The impact of a change by .1 point is considered significant on a 5-category scale. 33,34 HRQL data were analyzed for changes in mean HRQL score from pretransplant measurement and performed as an exploratory analysis, given the small sample size. A paired Student t test was used to assess changes from baseline to each posttransplant time point (day 100, 6 months, and 1 year).…”
Section: Discussionmentioning
confidence: 99%
“…The data source was the combined data analysis of two randomized, double-blind, placebo-controlled trials that assessed the efficacy and safety of an 16 Efficacy assessments used in this analysis included the QEQ (total score, transformed onto a 0 (worst) to 100 (best) scale) and the Erectile Function domain of the IIEF (score range, 1 (worst) to 30 (best)), which can be used to categorize ED by severity category as no ED (score X26), mild ED (22)(23)(24)(25), mild-tomoderate ED (17)(18)(19)(20)(21), moderate ED (11-16) and severe ED (1-10). 5,6 Analyses were based on observed mean (s.e., 95% confidence interval (CI)) QEQ total scores within the entire intent-to-treat population (patients within the active treatment group plus the placebo group who took at least one dose of study medication and who provided sufficient efficacy data for at least one efficacy analysis during that period) at baseline, end of treatment (week 12) and their difference (change scores).…”
Section: Methodsmentioning
confidence: 99%
“…Although anchor-based approaches to estimating MCMI are useful, 11,14,22 the validity of such an estimate depends on the strength of the correlation between the disease-related anchor and the PRO measure. 23 As reported previously for these data, improvement in IIEF Erectile Function domain scores showed moderate-to-high correlations with improvement in QEQ item scores (range, 0.52-0.73; Po0.0001) and with the QEQ total score (0.67; Po0.0001).…”
Section: Quality Of Erection Questionnaire K Hvidsten Et Almentioning
confidence: 99%
“…To further assess divergent validity, domain scores between the teenagers with SB and controls were compared using a t-test. To quantify effect size, we used a previously established method of dividing the mean difference between teenagers with SB and controls by the SD of the control population [28,29]. Several distribution-based approaches were used to determine what minimally important difference could be considered clinically significant.…”
Section: Phase 5 Internal Validationmentioning
confidence: 99%