Literature DB >> 28772310

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

Samantha J Kleindienst1,2,3, David A Zapala2, Donald W Nielsen4, James W Griffith5, Dania Rishiq2,6, Larry Lundy2, Sumitrajit Dhar7,8.   

Abstract

Importance: The already large population of individuals with age- or noise-related hearing loss in the United States is increasing, yet hearing aids remain largely inaccessible. The recent decision by the US Food and Drug Administration to not enforce the medical examination prior to hearing aid fitting highlights the need to reengineer consumer protections when increasing accessibility. A self-administered tool to estimate ear disease risk would provide disease surveillance without posing an unreasonable barrier to hearing aid procurement. Objective: To develop and validate a consumer questionnaire for the self-assessment of risk for ear diseases associated with hearing loss. Design, Setting, and Participants: The questionnaire was developed using established methods including expert opinion to validate and create questions, and cognitive interviews to ensure that questions were clear to respondents. Exploratory structural equation modeling, logistic regression, and receiver operating characteristic curve analysis were used to determine sensitivity and specificity with blinded neurotologist opinion as the criterion for evaluation. Patients 40 to 80 years old with ear or hearing complaints necessitating a neurotologic examination and a control group of participants with a diagnosis of age- or noise-related hearing loss participated at the Departments of Otorhinolaryngology and Audiology of Mayo Clinic Florida. Main Outcomes and Measures: Sensitivity and specificity of the prototype questionnaire to identify individuals with targeted diseases.
Results: Of 307 participants (mean [SD] age, 62.9 [9.8] years; 148 [48%] female), 75% (n = 231) were enrolled with targeted disease(s) identified on neurotologic assessment and 25% (n = 76) with age- or noise-related hearing loss. Participants were randomly divided into a training sample (80% [n = 246; 185 with disease, 61 controls]) and a test sample (20% [n = 61; 46 with disease, 15 controls]). Using a simple scoring method, a sensitivity of 94% (95% CI, 89%-97%) and specificity of 61% (95% CI, 47%-73%) were established in the training sample. Applying this cutoff to the test sample resulted in 85% (95% CI, 71%-93%) sensitivity and 47% (95% CI, 22%-73%) specificity. Conclusions and Relevance: This is the first self-assessment tool designed to assess an individual's risk for ear disease. Our preliminary results demonstrate a high sensitivity to disease detection. A further validated and refined version of this questionnaire may serve as an efficacious tool for improving access to hearing health care while minimizing the risk for missed ear diseases.

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Mesh:

Year:  2017        PMID: 28772310      PMCID: PMC5710257          DOI: 10.1001/jamaoto.2017.1175

Source DB:  PubMed          Journal:  JAMA Otolaryngol Head Neck Surg        ISSN: 2168-6181            Impact factor:   6.223


  24 in total

1.  Physicians and rural America.

Authors:  R A Rosenblatt; L G Hart
Journal:  West J Med       Date:  2000-11

2.  Relationship of hearing impairment to dementia and cognitive dysfunction in older adults.

Authors:  R F Uhlmann; E B Larson; T S Rees; T D Koepsell; L G Duckert
Journal:  JAMA       Date:  1989-04-07       Impact factor: 56.272

3.  Hearing loss and incident dementia.

Authors:  Frank R Lin; E Jeffrey Metter; Richard J O'Brien; Susan M Resnick; Alan B Zonderman; Luigi Ferrucci
Journal:  Arch Neurol       Date:  2011-02

4.  Association between hearing impairment and the quality of life of elderly individuals.

Authors:  C D Mulrow; C Aguilar; J E Endicott; R Velez; M R Tuley; W S Charlip; J A Hill
Journal:  J Am Geriatr Soc       Date:  1990-01       Impact factor: 5.562

5.  Hearing loss and hearing aid use in Hispanic adults: results from the Hispanic Health and Nutrition Examination Survey.

Authors:  D J Lee; D L Carlson; H M Lee; L A Ray; K S Markides
Journal:  Am J Public Health       Date:  1991-11       Impact factor: 9.308

6.  The impact of hearing loss on quality of life in older adults.

Authors:  Dayna S Dalton; Karen J Cruickshanks; Barbara E K Klein; Ronald Klein; Terry L Wiley; David M Nondahl
Journal:  Gerontologist       Date:  2003-10

Review 7.  Screening and management of adult hearing loss in primary care: scientific review.

Authors:  Bevan Yueh; Nina Shapiro; Catherine H MacLean; Paul G Shekelle
Journal:  JAMA       Date:  2003-04-16       Impact factor: 56.272

8.  Guest editorial: accessible and affordable hearing health care for adults with mild to moderate hearing loss.

Authors:  Amy Donahue; Judy R Dubno; Lucille Beck
Journal:  Ear Hear       Date:  2010-02       Impact factor: 3.570

9.  Central auditory dysfunction, cognitive dysfunction, and dementia in older people.

Authors:  G A Gates; J L Cobb; R T Linn; T Rees; P A Wolf; R B D'Agostino
Journal:  Arch Otolaryngol Head Neck Surg       Date:  1996-02

10.  Hearing Loss is Associated With Risk of Alzheimer's Disease: A Case-Control Study in Older People.

Authors:  Shih-Chang Hung; Kuan-Fu Liao; Chih-Hsin Muo; Shih-Wei Lai; Chia-Wei Chang; Hung-Chang Hung
Journal:  J Epidemiol       Date:  2015-05-16       Impact factor: 3.211

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  6 in total

1.  CEDRA: A Tool to Help Consumers Assess Risk for Ear Disease.

Authors:  Niall A M Klyn; Samantha Kleindienst Robler; Jamie Bogle; Razan Alfakir; Donald W Nielsen; James W Griffith; Deborah L Carlson; Larry Lundy; Sumitrajit Dhar; David A Zapala
Journal:  Ear Hear       Date:  2019 Nov/Dec       Impact factor: 3.570

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

Authors:  Niall A M Klyn; Samantha Kleindienst Robler; Razan Alfakir; Donald W Nielsen; James W Griffith; Deborah L Carlson; Larry Lundy; Sumitrajit Dhar; David A Zapala
Journal:  Ear Hear       Date:  2018 Sep/Oct       Impact factor: 3.570

3.  Errors in Questionnaire Scoring Algorithm.

Authors: 
Journal:  JAMA Otolaryngol Head Neck Surg       Date:  2018-04-01       Impact factor: 6.223

4.  Errors in Items and Algorithm in Questionnaire Used in Validation Study.

Authors:  Samantha J Kleindienst; David A Zapala; Donald W Nielsen; James W Griffith; Dania Rishiq; Larry Lundy; Sumitrajit Dhar
Journal:  JAMA Otolaryngol Head Neck Surg       Date:  2018-05-01       Impact factor: 6.223

Review 5.  Audiologic Assessment.

Authors:  Emily A Benson; Jessica J Messersmith
Journal:  Semin Hear       Date:  2022-07-26

6.  The GoAudio Quantitative Mobile Audiology Test Enhances Access to Clinical Hearing Assessments.

Authors:  Alaa Koleilat; David P Argue; Lisa A Schimmenti; Stephen C Ekker; Gayla L Poling
Journal:  Am J Audiol       Date:  2020-10-20       Impact factor: 1.493

  6 in total

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