Gaihede, Michael

Hammershøi, Dorte

Hougaard, Dan Dupont

Loquet, Gérard Sylvian Jean Marie

Narayanan, Sreeram Kaithali

Narne, Vijaya Kumar

Piechowiak, Tobias

Schmidt, Jesper Hvass

Storbjerg Houmøller, Sabina

Wolff, Anne

English

The present work is inspired by the thought of having a single index toscale the hearing aid (HA) benefit from self-reported questionnaires. Previous studies have shown that speech understanding in noisy environments is one of the most desired improvements sought by hearing aid users [1, 2].The perceived HA benefit thus can depend on the facilitation of everyday communication in challenging environments by the HA. This shouldalso ideally reflect in self-reported questionnaires responses recorded inthe BEAR project. Single index scale would facilitate the identification ofa sub-population, if there exist, with a low-compensation benefit from theusage of hearing aid.The self-reported questionnaire responses recorded during the follow-upvisit 2 months after the initial fit, show a stronger correlation (Figure 1)of 15D question 3 related to speech understanding, to the 17 questions ofSSQ, and three questions from IOI-HA (Question 3, 5, and 6), which werealso part of the same survey (Figure 2). Further, a composite single valueindex created from speech-related questions (SRQ) that are part of the survey can be a good representation of the perceived hearing aid benefit.The present work is inspired by the thought of having a single index toscale the hearing aid (HA) benefit from self-reported questionnaires. Previous studies have shown that speech understanding in noisy environments is one of the most desired improvements sought by hearing aid users [1, 2].The perceived HA benefit thus can depend on the facilitation of everyday communication in challenging environments by the HA. This shouldalso ideally reflect in self-reported questionnaires responses recorded inthe BEAR project. Single index scale would facilitate the identification ofa sub-population, if there exist, with a low-compensation benefit from theusage of hearing aid.The self-reported questionnaire responses recorded during the follow-upvisit 2 months after the initial fit, show a stronger correlation (Figure 1)of 15D question 3 related to speech understanding, to the 17 questions ofSSQ, and three questions from IOI-HA (Question 3, 5, and 6), which werealso part of the same survey (Figure 2). Further, a composite single valueindex created from speech-related questions (SRQ) that are part of the survey can be a good representation of the perceived hearing aid benefit

    Aalborg UniversitetSpeech Related Hearing Aid Benefit Index Derived from Standardized Self-ReportedQuestionnaire DataNarayanan, Sreeram Kaithali; Piechowiak, Tobias; Wolff, Anne; Storbjerg Houmøller, Sabina;Narne, Vijaya Kumar; Loquet, Gérard Sylvian Jean Marie; Hougaard, Dan Dupont; Gaihede,Michael; Schmidt, Jesper Hvass; Hammershøi, DortePublication date:2019Document VersionPublisher's PDF, also known as Version of recordLink to publication from Aalborg UniversityCitation for published version (APA):Narayanan, S. K., Piechowiak, T., Wolff, A., Storbjerg Houmøller, S., Narne, V. K., Loquet, G. S. J. M.,Hougaard, D. D., Gaihede, M., Schmidt, J. H., & Hammershøi, D. (2019). Speech Related Hearing Aid BenefitIndex Derived from Standardized Self-Reported Questionnaire Data. Poster presented at InternationalSymposium on Auditory and Audiological Research, Nyborg, Denmark.General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright ownersand it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.            ? Users may download and print one copy of any publication from the public portal for the purpose of private study or research.            ? You may not further distribute the material or use it for any profit-making activity or commercial gain            ? You may freely distribute the URL identifying the publication in the public portal ?Take down policyIf you believe that this document breaches copyright please contact us at vbn@aub.aau.dk providing details, and we will remove access tothe work immediately and investigate your claim.Downloaded from vbn.aau.dk on: November 25, 2020Speech Related Hearing Aid Benefit Index Derived fromStandardized Self-Reported Questionnaire DataSreeram Kaithali Narayanan1, Tobias Piechowiak2, Anne Wolff3, Sabina S Houmøller4, Vijaya Kumar Narne5, Gérard Loquet6, Dan Dupont Hougaard3,Michael Gaihede3, Jesper Hvass Schmidt4, & Dorte Hammershøi11Department of Electronic Systems, Signals and Information Processing, Aalborg University, Aalborg, Denmark.2GN Resound A/S, Ballerup, Denmark. 3Department ofOtolaryngology, Head and Neck Surgery and Audiology, Aalborg University Hospital, Aalborg, Denmark. 4Department of Oto-rhino-laryngology, Odense UniversityHospital, Odense, Denmark. 5Institute of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark. 6Department of ClinicalMedicine, Aalborg University, Aalborg, Denmark.IntroductionThe present work is inspired by the thought of having a single index toscale the hearing aid (HA) benefit from self-reported questionnaires. Pre-vious studies have shown that speech understanding in noisy environmentsis one of the most desired improvements sought by hearing aid users [1, 2].The perceived HA benefit thus can depend on the facilitation of every-day communication in challenging environments by the HA. This shouldalso ideally reflect in self-reported questionnaires responses recorded inthe BEAR project. Single index scale would facilitate the identification ofa sub-population, if there exist, with a low-compensation benefit from theusage of hearing aid.The self-reported questionnaire responses recorded during the follow-upvisit 2 months after the initial fit, show a stronger correlation (Figure 1)of 15D question 3 related to speech understanding, to the 17 questions ofSSQ, and three questions from IOI-HA (Question 3, 5, and 6), which werealso part of the same survey (Figure 2). Further, a composite single valueindex created from speech-related questions (SRQ) that are part of the sur-vey can be a good representation of the perceived hearing aid benefit.Figure 1. Correlation matrix for 15D, SSQ (17 questions) and IOI-HArecorded during the follow-up visit 2 months after the initial fitting of thehearing aid.MethodsThe principal component analysis is used as the basis to form a com-posite index related to speech understanding from the self-reported ques-tionnaires. This approach is well established in constructing a compositesocio-economic status index [3, 4].Three sets of questions were selected for the study are:• Speech Related Questions -Set 1: 15D-Question 3, IOI-HA (Ques-tion 3, 5, and 6), and SSQ Speech domain questions (Question 1,4, 10, 11, and 12)• Speech Related Questions -Set 2: 15D-Question 3, SSQ Speech do-main questions (Question 1, 4, 10, 11, 12, and 14), SSQ Qualitydomain (Questions 14, 15, 16, 17)• All questions of all three questionnaires (total 39 questions).Only responses recorded from the follow-up visit (after 2 months of initialfit) were considered for the study.Figure 2. The data was sorted and weights for 15D were applied beforeperforming PCA, and calculation of composite single value index.ResultsFigure 3. The table shows PCA results for the three sets of questionnaires. The percentage contribution of each principal component (PC) is indicated inthe second row of the header. The values in the fields below each PC are the percentage contribution of each question to that respective PC. From analysisof all questions, it can be seen 1) PC1 is clearly linked to speech understanding (SSQ answers), 2) PC2 is related to mental well-being (stress, discomfort,depression), 3) PC3 is most strongly related to hearing benefit (IOI-HA), whereas 4) PC4 may represent spatial dimensions of the hearing experience.Figure 4. Top: The plot shows the histogram of the derived index fromall three sets of questions. Bottom: The box plot with the median of thederived index and error bars showing the 95% confidence intervals. It canbe seen that the median in all cases is close to the same level. An ANOVAshowed no significant difference between the three sets of questions.Figure 5. Top: The index derived from SRQSet1 plotted against theindex derived using all 39 questions. The plot shows negative covariance(covariance coefficient: -1.31). Bottom: The index derived from SRQSet2plotted against the index derived using all 39 questions. The plot showspositive covariance (covariance coefficient: 1.92).DiscussionThe results establish the relation of speech in the perceived benefit. Thepositive covariance of the index derived from speech specific questions toall questions supports this hypothesis.The derived composite index can thus be used to define the sub-populationwith low compensation benefit from a speech-related function point ofview. A negative index can be an indication of low aided benefit.Further, the index can be regressed with other outcomes like aided speechintelligibility, compression parameters, word-recognition scores, and hear-ing aid usage time for having a stronger understanding of underlying fac-tors defining low compensation benefit.ConclusionThe results suggest that the composite single value speech-related benefitindex using PCA can indicate the perceived benefit of hearing aid use.The speech-related questions, the SRQ-set2, can be representative of over-all benefit with a positive covariance to the index based on all questionsincluded in the present study.This approach can be extended using other powerful multivariate statisticaltools like partial least square (PLS) method can open up more possibilitiesin predicting aided benefit using only audiometric and demographic vari-ables.References[1] R. M. Cox and G. C. Alexander, “Maturation of hearing aid benefit: Objective and subjective measurements,” Ear and Hearing, vol. 13, no. 3, pp.131–141, 1992.[2] S. Kochkin, “Marketrak VI: Consumers rate improvements sought in hearing instruments,” The Hearing Review, vol. 9, no. 11, pp. 18–22, 2002.[3] L. D. Howe, J. R. Hargreaves, and S. R. A. Huttly, “Issues in the construction of wealth indices for the measurement of socio-economic position inlow-income countries,” Emerging Themes in Epidemiology, vol. 5, no. 1, pp. 3, 3, 2008.[4] Y.-s. Chao and C.-j. Wu, “Principal component-based weighted indices and a framework to evaluate indices : Results from the Medical ExpenditurePanel Survey 1996 to 2011,” 2017.Presented at the International Symposium On Auditory And Audiological Research 2019AcknowledgementCollaboration and support by Innovation Fund Denmark (Grand Solutions5164-00011B), Oticon, GN Resound, Widex and other partners (Univer-sity of Southern Denmark, Aalborg University, the Technical University ofDenmark, Force, and Aalborg, Odense and Copenhagen University Hos-pitals) is sincerely acknowledged. The authors would also like to thankPalle Rye and Michal Fereczkowski for their valuable inputs and criticalcomments.

Speech Related Hearing Aid Benefit Index Derived from Standardized Self-Reported Questionnaire Data

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Speech Related Hearing Aid Benefit Index Derived from Standardized Self-Reported Questionnaire Data

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