Literature DB >> 27679840

Identifying and Prioritizing Diseases Important for Detection in Adult Hearing Health Care.

Samantha J Kleindienst1, Sumitrajit Dhar2, Donald W Nielsen2, James W Griffith3, Larry B Lundy4, Colin Driscoll5, Brian Neff5, Charles Beatty5, David Barrs6, David A Zapala4.   

Abstract

PURPOSE: The purpose of this research note is to identify and prioritize diseases important for detection in adult hearing health care delivery systems.
METHOD: Through literature review and expert consultation, the authors identified 195 diseases likely to occur in adults complaining of hearing loss. Five neurotologists rated the importance of disease on 3 dimensions related to the necessity of detection prior to adult hearing aid fitting.
RESULTS: Ratings of adverse health consequences, diagnostic difficulty, and presence of nonotologic symptoms associated with these diseases resulted in the identification of 104 diseases potentially important for detection prior to adult hearing aid fitting.
CONCLUSIONS: Current and evolving health care delivery systems, including direct-to-consumer sales, involve inconsistent means of disease detection vigilance prior to device fitting. The first steps in determining the safety of these different delivery methods are to identify and prioritize which diseases present the greatest risk for poor health outcomes and, thus, should be detected in hearing health care delivery systems. Here the authors have developed a novel multidimensional rating system to rank disease importance. The rankings can be used to evaluate the effectiveness of alternative detection methods and to inform public health policy. The authors are currently using this information to validate a consumer questionnaire designed to accurately identify when pre- fitting medical evaluations should be required for hearing aid patients.

Entities:  

Mesh:

Year:  2016        PMID: 27679840      PMCID: PMC5333525          DOI: 10.1044/2016_AJA-15-0079

Source DB:  PubMed          Journal:  Am J Audiol        ISSN: 1059-0889            Impact factor:   1.493


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1.  Development and Initial Validation of a Consumer Questionnaire to Predict the Presence of Ear Disease.

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3.  A Retrospective Estimate of Ear Disease Detection Using the "Red Flags" in a Clinical Sample.

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