Literature DB >> 32241007

Assessment of Hearing Aid Benefit Using Patient-Reported Outcomes and Audiologic Measures.

James R Dornhoffer1, Ted A Meyer2, Judy R Dubno2, Theodore R McRackan2.   

Abstract

PURPOSE: To determine the contributions to hearing aid benefit of patient-reported outcomes and audiologic measures.
METHODS: Independent review was conducted on audiologic and patient-reported outcomes of hearing aid benefit collected in the course of a middle ear implant FDA clinical trial. Unaided and aided data were extracted from the preoperative profiles of 95 experienced hearing aid users, and the relationships between a patient-reported outcome and audiologic measures were assessed. The following data were extracted: unaided and aided pure-tone or warble-tone thresholds (PTA), word recognition in quiet (NU-6), Speech Perception in Noise (low-/high-context SPIN), and patient-reported benefit (Abbreviated Profile of Hearing Aid Benefit, APHAB). Hearing aid benefit was defined as the difference in thresholds or scores between unaided and aided conditions, as measured in the sound field. Correlations were computed among audiologic measures and global APHAB and subscale scores of hearing aid benefit.
RESULTS: Significant improvements in all audiologic measures and APHAB scores were observed comparing unaided to aided listening (all p < 0.001). However, correlations between audiologic and patient-reported measures of aided performance or hearing aid benefit were low-to-weak or absent. No significant correlations were found between aided audiologic measures (PTA, NU-6, SPIN) and any aided APHAB scores (all p > 0.0125), and significant relationships for hearing aid benefit were absent with only few exceptions. Hearing aid benefit defined by global APHAB using NU-6 and SPIN scores showed significant but weak positive correlations (r = 0.37, p < 0.001; r = 0.28, p = 0.005, respectively) and ease of communication APHAB subscale scores (r = 0.32, p < 0.001; r = 0.33, p = 0.001, respectively).
CONCLUSION: Hearing aid benefit assessed with audiologic measures were poor predictors of patient-reported benefit. Thus, patient-reported outcomes may provide a unique assessment of patient-perceived benefit from hearing aids, which can be used to direct hearing aid programming, training, or recommendations of alternative hearing services.
© 2020 S. Karger AG, Basel.

Entities:  

Keywords:  Abbreviated Profile of Hearing Aid Benefit (APHAB); Audiologic measures; Hearing aid benefit; Patient-reported outcome measure

Mesh:

Year:  2020        PMID: 32241007      PMCID: PMC7371552          DOI: 10.1159/000506666

Source DB:  PubMed          Journal:  Audiol Neurootol        ISSN: 1420-3030            Impact factor:   1.854


  32 in total

1.  Optimal outcome measures, research priorities, and international cooperation.

Authors:  R Cox; M Hyde; S Gatehouse; W Noble; H Dillon; R Bentler; D Stephens; S Arlinger; L Beck; D Wilkerson; S Kramer; P Kricos; J P Gagné; F Bess; L Hallberg
Journal:  Ear Hear       Date:  2000-08       Impact factor: 3.570

Review 2.  Fitting hearing aids using clinical prefitting speech measures: an evidence-based review.

Authors:  Mead C Killion; Gail I Gudmundsen
Journal:  J Am Acad Audiol       Date:  2005 Jul-Aug       Impact factor: 1.664

3.  The value of speech audiometry in hearing-aid rehabilitation.

Authors:  A Parving
Journal:  Scand Audiol       Date:  1991

4.  Tests for selection of hearing aids.

Authors:  R CARHART
Journal:  Laryngoscope       Date:  1946-12       Impact factor: 3.325

5.  Everyday listening questionnaire: correlation between subjective hearing and objective performance.

Authors:  Martina Brendel; Carolin Frohne-Buechner; Anke Lesinski-Schiedat; Thomas Lenarz; Andreas Buechner
Journal:  Cochlear Implants Int       Date:  2013-11-25

6.  Factors in the appreciation of a prosthetic rehabilitation.

Authors:  T S Kapteyn
Journal:  Audiology       Date:  1977 Sep-Oct

Review 7.  Meta-analysis of quality-of-life improvement after cochlear implantation and associations with speech recognition abilities.

Authors:  Theodore R McRackan; Michael Bauschard; Jonathan L Hatch; Emily Franko-Tobin; H Richard Droghini; Shaun A Nguyen; Judy R Dubno
Journal:  Laryngoscope       Date:  2017-07-21       Impact factor: 3.325

8.  The National Acoustic Laboratories' (NAL) new procedure for selecting the gain and frequency response of a hearing aid.

Authors:  D Byrne; H Dillon
Journal:  Ear Hear       Date:  1986-08       Impact factor: 3.570

9.  Factors Affecting Hearing Aid Adoption and Use: A Qualitative Study.

Authors:  Nicola E Gallagher; Jayne V Woodside
Journal:  J Am Acad Audiol       Date:  2018-04       Impact factor: 1.664

10.  Prevalence of hearing aid use among older adults in the United States.

Authors:  Wade Chien; Frank R Lin
Journal:  Arch Intern Med       Date:  2012-02-13
View more
  3 in total

1.  Individual Hearing Aid Benefit in Real Life Evaluated Using Ecological Momentary Assessment.

Authors:  Petra von Gablenz; Ulrik Kowalk; Jörg Bitzer; Markus Meis; Inga Holube
Journal:  Trends Hear       Date:  2021 Jan-Dec       Impact factor: 3.293

2.  Results of Active Middle Ear Implantation in Patients With Mixed Hearing Loss After Middle Ear Surgery: A Prospective Multicenter Study (the ROMEO Study).

Authors:  Chan Il Song; Hyong-Ho Cho; Byung Yoon Choi; Jae Young Choi; Jin Woong Choi; Yun-Hoon Choung; Jong Woo Chung; Won-Ho Chung; Sung Hwa Hong; Yehree Kim; Byung Don Lee; Il-Woo Lee; Jong Dae Lee; Jun Ho Lee; Kyu-Yup Lee; Il Joon Moon; In Seok Moon; Seung-Ha Oh; Hong Ju Park; Shi Nae Park; Ji Won Seo
Journal:  Clin Exp Otorhinolaryngol       Date:  2021-04-09       Impact factor: 3.372

3.  Real-World Effectiveness of Wearable Augmented Reality Device for Patients With Hearing Loss: Prospective Study.

Authors:  Ul Gyu Han; Jung-Yup Lee; Ga-Young Kim; Mini Jo; Jaeseong Lee; Kyoung Ho Bang; Young Sang Cho; Sung Hwa Hong; Il Joon Moon
Journal:  JMIR Mhealth Uhealth       Date:  2022-03-23       Impact factor: 4.773

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.