Literature DB >> 31735055

Identifying Disadvantaged Groups for Cochlear Implantation: Demographics from a Large Cochlear Implant Program.

Anthony M Tolisano1, Natalie Schauwecker2, Bethany Baumgart1, Johanna Whitson1, Joe Walter Kutz1, Brandon Isaacson1, Jacob B Hunter1.   

Abstract

OBJECTIVE: To identify demographic predictors of patients undergoing cochlear implantation evaluation and surgery.
METHODS: Consecutive adult patients between 2009 and 2018 who underwent cochlear implantation evaluation at a university cochlear implantation program were retrospectively identified to determine (1) cochlear implantation qualification rate and (2) pursuit of surgery rate with respect to age, gender, race, primary spoken language, marital status, insurance type, and distance to the cochlear implantation center.
RESULTS: A total of 823 cochlear implantation evaluations were analyzed. Overall, 76.3% of patients qualified for cochlear implantation and 61.5% of these patients pursued surgery. Age was the only independent predictor for cochlear implantation qualification, such that, for each year younger, the odds of qualifying for cochlear implantation increased by 2.5% (OR 0.98; 95% CI: 0.96-0.99). Age, race, marital status, and insurance type were each independent predictors of the decision to pursue surgery. The odds of pursuing surgery increased by 2.8% for each year younger (OR 1.03; 95% CI: 1.01-1.05). Compared to White patients, non-Whites were half as likely to pursue surgery (OR 0.47; 95% CI: 0.25-0.88). Single (OR 0.49; 95% CI: 0.26-0.94) and widowed patients (OR 0.46; 95% CI: 0.23-0.95) were about half as likely to pursue surgery as compared to married patients. Patients with military insurance were 13 times more likely to pursue surgery as compared to patients with Medicare (OR 13.0; 95% CI: 1.67-101.4).
CONCLUSION: Younger age is an independent predictor for a higher cochlear implantation qualification rate, suggesting the possibility for delayed candidacy referral. Rate of surgical pursuit in qualified cochlear implantation candidates is lower for racial minorities, single and widowed patients, and older patients.

Entities:  

Keywords:  cochlear implantation; demographics; hearing loss

Mesh:

Year:  2019        PMID: 31735055     DOI: 10.1177/0003489419888232

Source DB:  PubMed          Journal:  Ann Otol Rhinol Laryngol        ISSN: 0003-4894            Impact factor:   1.547


  7 in total

1.  Size Matters: Rethinking of the Sizing Classification of Pituitary Adenomas Based on the Rates of Surgery: A Multi-institutional Retrospective Study of 29,651 Patients.

Authors:  Abhiraj D Bhimani; Alexander J Schupper; Gregory D Arnone; Deeksha Chada; Anisse N Chaker; Nicki Mohammadi; Costas G Hadjipanayis; Ankit I Mehta
Journal:  J Neurol Surg B Skull Base       Date:  2020-09-10

Review 2.  Evaluating Equity Through the Social Determinants of Hearing Health.

Authors:  Marissa R Schuh; Matthew L Bush
Journal:  Ear Hear       Date:  2020-06-13       Impact factor: 3.562

Review 3.  Conversations in Cochlear Implantation: The Inner Ear Therapy of Today.

Authors:  Grant Rauterkus; Anne K Maxwell; Jacob B Kahane; Jennifer J Lentz; Moises A Arriaga
Journal:  Biomolecules       Date:  2022-04-29

4.  Does Frailty or Age Increase the Risk of Postoperative Complications Following Cochlear Implantation?

Authors:  Steven A Gordon; Alana Aylward; Neil S Patel; Christian Bowers; Angela P Presson; Ken R Smith; Norman L Foster; Richard K Gurgel
Journal:  OTO Open       Date:  2021-09-24

Review 5.  Defining Disparities in Cochlear Implantation through the Social Determinants of Health.

Authors:  Marissa Schuh; Matthew L Bush
Journal:  Semin Hear       Date:  2021-12-09

Review 6.  Barriers to Adult Cochlear Implant Care in the United States: An Analysis of Health Care Delivery.

Authors:  Ashley M Nassiri; John P Marinelli; Donna L Sorkin; Matthew L Carlson
Journal:  Semin Hear       Date:  2021-12-09

7.  Hearing Health Perceptions and Literacy Among Primary Healthcare Providers in the United States: A National Cross-Sectional Survey.

Authors:  Sarah A Sydlowski; John P Marinelli; Christine M Lohse; Matthew L Carlson
Journal:  Otol Neurotol       Date:  2022-07-28       Impact factor: 2.619

  7 in total

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