Factors Associated With Hearing Aid Outcomes Including Social Networks, Self-Reported Mental Health, and Service Delivery Models.
Purpose: This study aims to identify and describe factors that influence hearing aid outcomes including social networks, self-reported mental health, and service delivery models. Method: A prospective cross-sectional online survey was sent to hearing aid users recruited through an online platform (h...
| Publicado en: | American Journal of Audiology Vol. 32; no. 4; pp. 823 - 832 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
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American Speech-Language-Hearing Association
Dec2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=173998885&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 173998885 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10590889 5KS jtl: American Journal of Audiology issn: 10590889 maglogo: N pubinfo: dt: Dec2023 vid: 32 iid: 4 pid: 42 pub: American Speech-Language-Hearing Association place: Rockville, Maryland artinfo: ui: 173998885 173998885 173998885 10.1044/2023_AJA-22-00206 173998885 ppf: 823 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Factors Associated With Hearing Aid Outcomes Including Social Networks, Self-Reported Mental Health, and Service Delivery Models. aug: au: Mothemela, Bopane Manchaiah, Vinaya Mahomed-Asmail, Faheema Graham, Marien Swanepoel, De Wet affil: Department of Speech-Language Pathology and Audiology, University of Pretoria, South Africa sug: subj: Hearing Aids Social Networks Mental Health Health Care Delivery Patient-Reported Outcomes Psychosocial Factors Human Persons with Disabilities Psychosocial Factors Male Female Middle Age Aged Prospective Studies Cross Sectional Studies Questionnaires Confidence Intervals Work Quality of Life Attitude to Disability Personal Satisfaction Treatment Outcomes Psychosocial Factors Data Analysis Software Regression Descriptive Statistics Chi Square Test Middle Aged: 45-64 years Aged: 65+ years Male Female ab: Purpose: This study aims to identify and describe factors that influence hearing aid outcomes including social networks, self-reported mental health, and service delivery models. Method: A prospective cross-sectional online survey was sent to hearing aid users recruited through an online platform (http://www.hearingtracker.com) between October and November 2021. The survey contained questions on patient demographics, audiological variables, general health and social factors, and self-reported hearing aid outcomes using the International Outcome Inventory for Hearing Aids (IOI-HA). Regression models evaluated potential contributing factors of hearing aid outcomes on the IOI-HA. Results: Three hundred ninety-eight hearing aid users completed the survey with an average age of 66.6 (SD = 13.0) years, of which 59.3% were male. Positive contributing factors of hearing aid outcomes (IOI-HA total score) were social network of people with hearing loss with hearing aids (p < .010; Exp[B] = 0.03, 95% CI [0.01, 0.1]), self-reported mental health (p < .05; Exp[B] = 0.6, 95% CI [0.01, 1.2]), work situation (p < .001; Exp[B] = 1.9, 95% CI [0.7, 2.8]), quality of life (p < .005; Exp[B] = 1.2, 95% CI [0.3, 1.1]), and self-reported hearing difficulty (p < .02; Exp[B] = 0.8, 95% CI [0.2, 1.5]). Negative contributing factors of hearing aid outcomes included social networks of people with hearing loss without hearing aids (p < .001; Exp[B] = -0.1, 95% CI [-0.2, -0.2]) and service delivery model of private or university clinic compared to big-box retailers (p < .001; Exp[B] = -1.6, 95% CI [-2.7, -0.7]). Conclusions: Novel factors including social network of persons with hearing loss who use hearing aids, self-reported mental health, service delivery model, and work situation are significant contributors to hearing aid outcomes. These newly identified factors can inform public hearing health promotion and individualized audiological care to optimize hearing aid outcomes. Supplemental Material: https://doi.org/10.23641/asha.24060486 pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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