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Prognosis Tool Based on a Modified Children's Implant Profile for Use in Pediatric Cochlear Implant Candidacy Evaluation.
- Source :
-
Annals of Otology, Rhinology & Laryngology . Feb2012, Vol. 121 Issue 2, p73-84. 12p. 1 Black and White Photograph, 2 Diagrams, 5 Charts. - Publication Year :
- 2012
-
Abstract
- Objectives: We developed a prediction tool to assist in evaluation of pediatric candidates for cochlear implantation (CI) and to help plan for preoperative and postoperative support. Methods: Between 1995 and 2005,277 patients underwent CI at Children's Hospital Boston. Of these 277 patients, 250 had at least 2 years of post-CI follow-up and adequate pre-CI information for rating by our prediction tool. Of the 250, 106 were randomly selected for inclusion. The patients were divided into group A (auditory/oral communicator); group B (auditory/oral communicator with visual assistance), group C (visual/manual communicator with auditory/oral skills assistance), and group D (will not derive communicative benefit from implant). Predictions were performed with clinical assessment and two statistical techniques: regression modeling and classification and regression tree (CART) analysis. Results: Among patients who became auditory/oral communicators (group A), clinical assessment predicted that outcome accurately 65% of the time, CART analysis had intermediate sensitivity (79%), and regression modeling was the most sensitive (95%). Groups B through D were predicted 45% of the time by regression modeling, 90% of the time by clinical assessment, and 100% of the time by CART analysis. Conclusions: A combination of speech-language, medical, and educational constructs can provide a reliable prediction of the communication outcome. Our goal for the prognosis tool is to make it part of the overall candidacy process in supporting decision-making about CI and planning for post-CI therapy. [ABSTRACT FROM AUTHOR]
- Subjects :
- *PROGNOSIS
*COMMUNICATION methodology
*DEAFNESS
*EAR surgery
*PATIENT selection
*ACADEMIC medical centers
*COCHLEAR implants
*STATISTICAL correlation
*DECISION making
*EXPERIMENTAL design
*HEALTH care teams
*LONGITUDINAL method
*RESEARCH methodology
*HEALTH outcome assessment
*REGRESSION analysis
*STATISTICAL sampling
*SPEECH evaluation
*STATISTICS
*LOGISTIC regression analysis
*RETROSPECTIVE studies
*RESEARCH methodology evaluation
*DATA analysis software
*DESCRIPTIVE statistics
Subjects
Details
- Language :
- English
- ISSN :
- 00034894
- Volume :
- 121
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Annals of Otology, Rhinology & Laryngology
- Publication Type :
- Academic Journal
- Accession number :
- 72059474
- Full Text :
- https://doi.org/10.1177/000348941212100201