Puga, Clara and Schleicher, Miro and Niemann, Uli and Unnikrishnan, Vishnu and Boecking, Benjamin and Brueggemann, Petra and Simoes, Jorge and Langguth, Berthold and Schlee, Winfried and Mazurek, Birgit and Spiliopoulou, Myra (2022) Juxtaposing Medical Centers Using Different Questionnaires Through Score Predictors. FRONTIERS IN NEUROSCIENCE, 16: 818686. ISSN , 1662-453X
Full text not available from this repository. (Request a copy)Abstract
BackgroundChronic tinnitus is a clinically multidimensional phenomenon that entails audiological, psychological and somatosensory components. Previous research has demonstrated age and female gender as potential risk factors, although studies to this regard are heterogeneous. Moreover, whilst recent research has begun to identify clinical "phenotypes," little is known about differences in patient population profiles at geographically separated and specialized treatment centers. Identifying such differences might prevent potential biases in joint randomized controlled trials (RCTs) and allow for population-specific treatment adaptations. MethodTwo German tinnitus treatment centers were compared regarding pre-treatment data distributions of their patient population bases. To identify overlapping as well as center-specific factors, juxtaposition-, similarity-, and meta-data-based methods were applied. ResultsBetween centers, significant differences emerged. One center demonstrated some predictive power of the patients of the other center with regard to questionnaire score after treatment, indicating similarities in treatment response across center populations. Furthermore, adherence to the completion of the questionnaires was found to be an important factor in predicting post-treatment data. DiscussionDifferential age and gender distributions per center should be considered as regards RCT design and individualized treatment planning.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | PERCEIVED STRESS QUESTIONNAIRE; FUNCTIONAL INDEX DEVELOPMENT; TINNITUS; VALIDATION; INVENTORY; tinnitus; networks; similarity; socio-demographics; adherence; predictive modeling |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Psychiatrie und Psychotherapie |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 27 Feb 2024 08:04 |
| Last Modified: | 27 Feb 2024 08:04 |
| URI: | https://pred.uni-regensburg.de/id/eprint/57872 |
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