2000
DOI: 10.1016/s0895-4356(99)00140-7
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Identification of clinically important changes in health status using receiver operating characteristic curves

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Cited by 37 publications
(27 citation statements)
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“…The area under the curve (AUC) and 95% confidence interval (CI) were calcu- 43 If the lower limit of the AUC 95% CI was Ͼ0.5, the relationship between change in CGS and mRS was considered sufficient to estimate the MCID for CGS. Identifying a sufficient relationship between the 2 variables was the primary purpose of the ROC curve.…”
Section: Estimation Of Mcidmentioning
confidence: 99%
“…The area under the curve (AUC) and 95% confidence interval (CI) were calcu- 43 If the lower limit of the AUC 95% CI was Ͼ0.5, the relationship between change in CGS and mRS was considered sufficient to estimate the MCID for CGS. Identifying a sufficient relationship between the 2 variables was the primary purpose of the ROC curve.…”
Section: Estimation Of Mcidmentioning
confidence: 99%
“…The first is measured through self-report and aligns itself to measuring what counts, that is, at what ICF level of activity does this person attain community ambulation and with what assistance? Although there is empirical evidence to support the advantages of self-reported measures mostly because of their superior content validity (eg, the Patient Generated Index 39 the Patient-Specific Measure 40 ), this approach may be limited because of the difficulties in determining criteria for clinically important change in a heterogenous group of patients, the judgments of whom regarding change are neither necessarily congruent nor consistent over time 41 Comparisons of outcomes across studies, therefore, can become problematic. 42 Perhaps more importantly, outcome comparisons do not help the tester identify which aspects of the task the person finds difficult to master and identify those people who may attain community ambulation; the comparisons, therefore, are less able to inform the rehabilitation process.…”
Section: What Might a Relevant Measure For Community Ambulation Look mentioning
confidence: 99%
“…The optimal cut point on the target measure is the one with the least number of misclassifications compared with the anchor measure. Misclassifications are false-positives (respondents mistakenly classified as experiencing a change) and false-negatives (respondents mistakenly classified as not experiencing a change) [50,53]. Changes in scores on instruments measuring dyspnea, fatigue, and emotional function in patients with chronic heart and lung disease calibrated against patient global ratings of change have found that a mean score change of 0.5 on a 7-point Likert scale corresponds to the MCID [46].…”
Section: Interpretability Of Rating Scalesmentioning
confidence: 99%