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Integrating distribution-based and anchor-based techniques to identify minimal important change for the tinnitus functional index (TFI) questionnaire

Barry, Joanna
Abstract
The Tinnitus Functional Index (TFI) was developed to be responsive to small treatment-related changes in the impact of tinnitus. Yet, no studies have integrated anchor-based and distribution-based techniques to produce a single Minimal Important Change (MIC) score. Here, we evaluated the responsiveness and interpretability of the TFI, determining for the first time a robust MIC score in a UK clinical population. Two-hundred and fifty-five patients with tinnitus participated in this prospective longitudinal validation study. Distribution-based estimates (Standard Error of Measurement, Smallest Detectable Change and Effect size) and anchor-based estimates of important change (minimal clinically important difference and Receiver Operator Curve optimal value) were calculated and then integrated using a visual anchor-based MIC distribution plot. A reduction in score of -14 was determined as the MIC estimate that exceeds the measurement error, most of the variability and reliably identifies patients demonstrating true improvement. It is therefore recommended that a reduction of 14 points should be used as a minimum change required when calculating statistical power and sample size in tinnitus intervention studies and assessing patients in clinical practice.
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Date
2022
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Article
Subject
Tinnitus, Prospective study, Surveys and questionnaires
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Fackrell, K., Hall, D.A., Barry, J. and Hoare, D.J. (2022) 'Integrating distribution-based and anchor-based techniques to identify minimal important change for the tinnitus functional index (TFI) questionnaire', Brain Sciences, 12(6). doi: 10.3390/brainsci12060726 https://doi.org/10.3390/brainsci12060726.
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