Examining the Spatial Varying Effects of Sociodemographic Factors on Adult Cochlear Implantation Using Geographically Weighted Poisson Regression.
Journal
Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology
ISSN: 1537-4505
Titre abrégé: Otol Neurotol
Pays: United States
ID NLM: 100961504
Informations de publication
Date de publication:
01 06 2023
01 06 2023
Historique:
medline:
15
5
2023
pubmed:
25
3
2023
entrez:
24
3
2023
Statut:
ppublish
Résumé
To (i) demonstrate the utility of geographically weighted Poisson regression (GWPR) in describing geographical patterns of adult cochlear implant (CI) incidence in relation to sociodemographic factors in a publicly funded healthcare system, and (ii) compare Poisson regression and GWPR to fit the aforementioned relationship. Retrospective study of provincial CI Program database. Academic hospital. Adults 18 years or older who received a CI from 2020 to 2021. Cochlear implant. CI incidence based on income level, education attainment, age at implantation, and distance from center, and spatial autocorrelation across census metropolitan areas. Adult CI incidence varied spatially across Ontario (Moran's I = 0.04, p < 0.05). Poisson regression demonstrated positive associations between implantation and lower income level (coefficient = 0.0284, p < 0.05) and younger age (coefficient = 0.1075, p < 0.01), and a negative association with distance to CI center (coefficient = -0.0060, p < 0.01). Spatial autocorrelation was significant in Poisson model (Moran's I = 0.13, p < 0.05). GWPR accounted for spatial differences (Moran's I = 0.24, p < 0.690), and similar associations to Poisson were observed. GWPR further identified clusters of implantation in South Central census metropolitan areas with higher education attainment. Adult CI incidence demonstrated a nonstationary relationship between implantation and the studied sociodemographic factors. GWPR performed better than Poisson regression in accounting for these local spatial variations. These results support the development of targeted interventions to improve access and utilization to CIs in a publicly funded healthcare system.
Identifiants
pubmed: 36962009
doi: 10.1097/MAO.0000000000003861
pii: 00129492-202306000-00011
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e287-e294Informations de copyright
Copyright © 2023, Otology & Neurotology, Inc.
Déclaration de conflit d'intérêts
Sources of support and disclosure of funding: The work was not supported by any funding source. Authors V.Y.L. and J.M.C. have served on surgical advisory boards for Cochlear, Advanced Bionics, and Med-El in the past without financial or other compensation. The remaining authors have no conflicts of interest to declare.
Références
Laplante-Lévesque A, Hickson L, Worrall L. Factors influencing rehabilitation decisions of adults with acquired hearing impairment. Int J Audiol 2010;49:497–507.
Sorkin DL. Cochlear implantation in the world's largest medical device market: Utilization and awareness of cochlear implants in the United States. Cochlear Implants Int 2013;14(Suppl 1):S4–12.
Bierbaum M, McMahon CM, Hughes S, et al. Barriers and facilitators to cochlear implant uptake in Australia and the United Kingdom. Ear Hear 2019;41:374–85.
Nassiri AM, Holcomb MA, Perkins EL, et al. Catchment profile of large cochlear implant centers in the United States. Otolaryngol Head Neck Surg 2022;167:545–51.
Ebrahimi-Madiseh A, Eikelboom RH, Bennett RJ, et al. What influences decision-making for cochlear implantation in adults? Exploring barriers and drivers from a multistakeholder perspective. Ear Hear 2020;41:1752–63.
Mamo SK, Nieman CL, Lin FR. Prevalence of untreated hearing loss by income among older adults in the United States. J Health Care Poor Underserved 2016;27:1812–8.
Anderson DK, Liang JW. HHS public access. Physiol Behav 2017;176:139–48.
Marinelli JP, Carlson ML. Barriers to access and health care disparities associated with cochlear implantation among adults in the United States. Mayo Clin Proc 2021;96:547–9.
Judge A, Welton NJ, Sandhu J, Ben-Shlomo Y. Equity in access to total joint replacement of the hip and knee in England: Cross sectional study. BMJ 2010;341:1–10.
Anderson GM, Grumbach K, Luft HS, et al. Use of coronary artery bypass surgery in the United States and Canada. Influence of age and income. JAMA 2018;227–39.
Chen I, Wise MR, Dunn S, et al. Social and geographic determinants of hysterectomy in Ontario: A population-based retrospective cross-sectional analysis. J Obstet Gynaecol Can 2017;39:861–9.
Choi M, Lee M, Lee MJ, et al. Physical activity, quality of life and successful ageing among community-dwelling older adults. Int Nurs Rev 2017;64:396–404.
Zheng X, Qin G, Tu D. A generalized partially linear mean-covariance regression model for longitudinal proportional data, with applications to the analysis of quality of life data from cancer clinical trials. Stat Med 2017;36:1884–94.
National Institute of Statistics and Economic Studies. Handbook of Spatial Analysis | Insee. Available at: https://www.insee.fr/en/information/3635545 . Accessed April 22, 2022.
Nakaya T, Fotheringham AS, Brunsdon C, Charlton M. Geographically weighted Poisson regression for disease association mapping. Stat Med 2005;24:2695–717.
Bui LV, Mor Z, Chemtob D, et al. Use of geographically weighted Poisson regression to examine the effect of distance on tuberculosis incidence: A case study in Nam Dinh, Vietnam. PloS One 2018;13:e0207068.
Zhang H, Liu Y, Chen F, et al. The effect of sociodemographic factors on COVID-19 incidence of 342 cities in China: A geographically weighted regression model analysis. BMC Infect Dis 2021;21:428.
Poliart A, Kirakoya-Samadoulougou F, Ouédraogo M, et al. Using geographically weighted Poisson regression to examine the association between socioeconomic factors and hysterectomy incidence in Wallonia, Belgium. BMC Womens Health 2021;21:373.
Focus on Geography Series, 2016 Census—Province of Ontario. Available at: https://www12.statcan.gc.ca/census-recensement/2016/as-sa/fogs-spg/Facts-pr-eng.cfm?Lang=Eng&GK=PR&GC=35&TOPIC=1 . Accessed April 22, 2022.
Illustrated Glossary—Census metropolitan area (CMA) and census agglomeration (CA). Available at: https://www150.statcan.gc.ca/n1/pub/92-195-x/2021001/geo/cma-rmr/cma-rmr-eng.htm . Accessed April 22, 2022.
SimplyAnalytics—Powerful analytics, data visualization, and mapping app | Analytics for Everyone. Available at: https://simplyanalytics.com/ . Accessed April 22, 2022.
Keen KJ, Zucchini W, Macdonald IL, et al. Statistical methods for disease clustering by TANGO, T. Biometrics 2011;67:1181–2.
Sorkin DL, Buchman CA. Cochlear implant access in six developed countries. Otol Neurotol 2016;37:e161–4.
Barnett M, Hixon B, Okwiri N, et al. Factors involved in access and utilization of adult hearing healthcare: A systematic review. Laryngoscope 2017;127:1187–94.
Sorkin DL. Impact of Medicaid on cochlear implant access. Otol Neurotol 2019;40:E336–41.
Prevalence of hearing loss among Canadians aged 20 to 79: Audiometric results from the 2012/2013 Canadian Health Measures Survey—ARCHIVED. Available at: https://www150.statcan.gc.ca/n1/pub/82-003-x/2015007/article/14206-eng.pdf . Accessed April 15, 2022.
Fitzpatrick EM. Adult cochlear implantation in Canada: Results of a survey implantation [cochléaire chez les adultes au Canada: Résultats d'une enquête]. Rev Can Orthophonie Augiol 2014;34:290–6.
Pink-Harper SA. Educational attainment: An examination of its impact on regional economic growth. Econ Dev Q 2015;29:167–79.
Drewes T. Postsecondary education and the labour market in Ontario. Available at: https://heqco.ca/pub/postsecondary-education-and-the-labour-market-in-ontario/ . Accessed April 22, 2022.
2016 Census backgrounder: Education, labour, journey to work, language and mobility and migration. Available at: https://www.toronto.ca/wp-content/uploads/2017/12/94ce-2016-Census-Backgrounder-Education-Labour-Journey-to-work-Language-Mobility-Migration.pdf . Accessed April 22, 2022.
Focus on Geography Series, 2016 Census—Census metropolitan area of Toronto. Available at: https://www12.statcan.gc.ca/census-recensement/2016/as-sa/fogs-spg/Facts-cma-eng.cfm?LANG=Eng&GK=CMA&GC=535&TOPIC=10 . Accessed April 23, 2022.
Levy H, Janke A. Health literacy and access to care. J Health Commun 2016;21:43–50.
Tolisano AM, Fang LB, Isaacson B, Kutz JW, Hunter JB. Can you hear me now? The impact of hearing loss on patient health literacy. Otol Neurotol 2020;41:1027–32.
Tran ED, Vaisbuch Y, Qian ZJ, Fitzgerald MB, Megwalu UC. Health literacy and hearing healthcare use. Laryngoscope 2021;131:E1688–94.
Gilbert GH, Minaker KL. Principles of surgical risk assessment of the elderly patient. J Oral Maxillofac Surg 1990;48:972–9.
Mahncke HW, Bronstone A, Merzenich MM. Brain plasticity and functional losses in the aged: Scientific bases for a novel intervention. Prog Brain Res 2006;157:81–109.
Gonzalez K, Trigo S, Miller C, Urajnik D. Rescheduling of cancelled elective surgical procedures among older adults post–COVID-19. Can Geriatr J 2021;24:73–6.
Samson B. The difficult clearance of the elective surgical backlog caused by the cancellation of cases due to the COVID-19 pandemic. Can J Anesth 2021;68:932–3.
Wang J, Vahid S, Eberg M, et al. Clearing the surgical backlog caused by COVID-19 in Ontario: A time series modelling study. CMAJ 2020;192:E1347–56.
Yang Z, Cosetti M. Safety and outcomes of cochlear implantation in the elderly: A review of recent literature. J Otol 2016;11:1–6.
Livingston G, Sommerlad A, Orgeta V, et al. Dementia prevention, intervention, and care. Lancet 2017;390:2673–734.
Brems C, Johnson ME, Warner TD, Weiss RL. Barriers to healthcare as reported by rural and urban interprofessional providers. J Interprof Care 2006;20:105–18.
Shayman CS, Ha YM, Raz Y, Hullar TE. Geographic disparities in US veterans' access to cochlear implant care within the Veterans Health Administration system. JAMA Otolaryngol Head Neck Surg 2019;145:889–96.