Integrating Distribution-Based and Anchor-Based Techniques to Identify Minimal Important Change for the Tinnitus Functional Index (TFI) Questionnaire
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 responsiven...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Brain Sciences |
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| Online Access: | https://www.mdpi.com/2076-3425/12/6/726 |
| _version_ | 1797489391368667136 |
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| author | Kathryn Fackrell Deborah Ann Hall Johanna Barry Derek James Hoare |
| author_facet | Kathryn Fackrell Deborah Ann Hall Johanna Barry Derek James Hoare |
| author_sort | Kathryn Fackrell |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T00:16:53Z |
| format | Article |
| id | doaj.art-4eb16b80ad6143e59c3a42e3434d448b |
| institution | Directory Open Access Journal |
| issn | 2076-3425 |
| language | English |
| last_indexed | 2024-03-10T00:16:53Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Brain Sciences |
| spelling | doaj.art-4eb16b80ad6143e59c3a42e3434d448b2023-11-23T15:50:26ZengMDPI AGBrain Sciences2076-34252022-05-0112672610.3390/brainsci12060726Integrating Distribution-Based and Anchor-Based Techniques to Identify Minimal Important Change for the Tinnitus Functional Index (TFI) QuestionnaireKathryn Fackrell0Deborah Ann Hall1Johanna Barry2Derek James Hoare3NIHR Nottingham Biomedical Research Centre, Ropewalk House, 113 The Ropewalk, Nottingham NG1 5DU, UKNIHR Nottingham Biomedical Research Centre, Ropewalk House, 113 The Ropewalk, Nottingham NG1 5DU, UKDepartment of Ear, Nose and Throat (ENT), Queen’s Medical Centre Campus, Nottingham University Hospitals (NHS) Trust, Derby Road, Nottingham NG7 2UH, UKNIHR Nottingham Biomedical Research Centre, Ropewalk House, 113 The Ropewalk, Nottingham NG1 5DU, UKThe 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.https://www.mdpi.com/2076-3425/12/6/726tinnitus-specific health-related quality of lifetinnitus diagnosisoutcome instrumentsresponsivenessminimal important change |
| spellingShingle | Kathryn Fackrell Deborah Ann Hall Johanna Barry Derek James Hoare Integrating Distribution-Based and Anchor-Based Techniques to Identify Minimal Important Change for the Tinnitus Functional Index (TFI) Questionnaire Brain Sciences tinnitus-specific health-related quality of life tinnitus diagnosis outcome instruments responsiveness minimal important change |
| title | Integrating Distribution-Based and Anchor-Based Techniques to Identify Minimal Important Change for the Tinnitus Functional Index (TFI) Questionnaire |
| title_full | Integrating Distribution-Based and Anchor-Based Techniques to Identify Minimal Important Change for the Tinnitus Functional Index (TFI) Questionnaire |
| title_fullStr | Integrating Distribution-Based and Anchor-Based Techniques to Identify Minimal Important Change for the Tinnitus Functional Index (TFI) Questionnaire |
| title_full_unstemmed | Integrating Distribution-Based and Anchor-Based Techniques to Identify Minimal Important Change for the Tinnitus Functional Index (TFI) Questionnaire |
| title_short | Integrating Distribution-Based and Anchor-Based Techniques to Identify Minimal Important Change for the Tinnitus Functional Index (TFI) Questionnaire |
| title_sort | integrating distribution based and anchor based techniques to identify minimal important change for the tinnitus functional index tfi questionnaire |
| topic | tinnitus-specific health-related quality of life tinnitus diagnosis outcome instruments responsiveness minimal important change |
| url | https://www.mdpi.com/2076-3425/12/6/726 |
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