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Development and validation of DeciBHAL-US: A novel microsimulation model of hearing loss across the lifespan in the United States

BACKGROUND: Hearing loss affects over 50% of people in the US across their lifespan and there is a lack of decision modeling frameworks to inform optimal hearing healthcare delivery. Our objective was to develop and validate a microsimulation model of hearing loss across the lifespan in the US. METH...

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Autores principales: Borre, Ethan D., Myers, Evan R., Dubno, Judy R., O'Donoghue, Gerard M., Diab, Mohamed M., Emmett, Susan D., Saunders, James E., Der, Carolina, McMahon, Catherine M., Younis, Danah, Francis, Howard W., Tucci, Debara L., Wilson, Blake S., Ogbuoji, Osondu, Schmidler, Gillian D. Sanders
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8762067/
https://www.ncbi.nlm.nih.gov/pubmed/35072020
http://dx.doi.org/10.1016/j.eclinm.2021.101268
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author Borre, Ethan D.
Myers, Evan R.
Dubno, Judy R.
O'Donoghue, Gerard M.
Diab, Mohamed M.
Emmett, Susan D.
Saunders, James E.
Der, Carolina
McMahon, Catherine M.
Younis, Danah
Francis, Howard W.
Tucci, Debara L.
Wilson, Blake S.
Ogbuoji, Osondu
Schmidler, Gillian D. Sanders
author_facet Borre, Ethan D.
Myers, Evan R.
Dubno, Judy R.
O'Donoghue, Gerard M.
Diab, Mohamed M.
Emmett, Susan D.
Saunders, James E.
Der, Carolina
McMahon, Catherine M.
Younis, Danah
Francis, Howard W.
Tucci, Debara L.
Wilson, Blake S.
Ogbuoji, Osondu
Schmidler, Gillian D. Sanders
author_sort Borre, Ethan D.
collection PubMed
description BACKGROUND: Hearing loss affects over 50% of people in the US across their lifespan and there is a lack of decision modeling frameworks to inform optimal hearing healthcare delivery. Our objective was to develop and validate a microsimulation model of hearing loss across the lifespan in the US. METHODS: We collaborated with the Lancet Commission on Hearing Loss to outline model structure, identify input data sources, and calibrate/validate DeciBHAL-US (Decision model of the Burden of Hearing loss Across the Lifespan). We populated the model with literature-based estimates and validated the conceptual model with key informants. We validated key model endpoints to the published literature, including: 1) natural history of sensorineural hearing loss (SNHL), 2) natural history of conductive hearing loss (CHL), and 3) the hearing loss cascade of care. We reported the coefficient of variance root mean square error (CV-RMSE), considering values ≤15% to indicate adequate fit. FINDINGS: For SNHL prevalence, the CV-RMSE for model projected male and female age-specific prevalence compared to sex-adjusted National Health and Nutrition Examination Survey (NHANES) data was 4.9 and 5.7%, respectively. Incorporating literature-based age-related decline in SNHL, we validated mean four-frequency average hearing loss in the better ear (dB) among all persons to longitudinal data (CV-RMSE=11.3%). We validated the age-stratified prevalence of CHL to adjusted NHANES data (CV-RMSE=10.9%). We incorporated age- and severity-stratified time to first hearing aid (HA) use data and HA discontinuation data (adjusted for time-period of use) and validated to NHANES estimates on the prevalence of adult HA use (CV-RMSE=10.3%). INTERPRETATION: Our results indicate adequate model fit to internal and external validation data. Future incorporation of cost and severity-stratified utility data will allow for cost-effectiveness analysis of US hearing healthcare interventions across the lifespan. Further research might expand the modeling framework to international settings. FUNDING: This study was funded by the National Institute on Deafness and Other Communication Disorders and the National Institute on Aging (3UL1-TR002553–03S3 and F30 DC019846).
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spelling pubmed-87620672022-01-20 Development and validation of DeciBHAL-US: A novel microsimulation model of hearing loss across the lifespan in the United States Borre, Ethan D. Myers, Evan R. Dubno, Judy R. O'Donoghue, Gerard M. Diab, Mohamed M. Emmett, Susan D. Saunders, James E. Der, Carolina McMahon, Catherine M. Younis, Danah Francis, Howard W. Tucci, Debara L. Wilson, Blake S. Ogbuoji, Osondu Schmidler, Gillian D. Sanders EClinicalMedicine Articles BACKGROUND: Hearing loss affects over 50% of people in the US across their lifespan and there is a lack of decision modeling frameworks to inform optimal hearing healthcare delivery. Our objective was to develop and validate a microsimulation model of hearing loss across the lifespan in the US. METHODS: We collaborated with the Lancet Commission on Hearing Loss to outline model structure, identify input data sources, and calibrate/validate DeciBHAL-US (Decision model of the Burden of Hearing loss Across the Lifespan). We populated the model with literature-based estimates and validated the conceptual model with key informants. We validated key model endpoints to the published literature, including: 1) natural history of sensorineural hearing loss (SNHL), 2) natural history of conductive hearing loss (CHL), and 3) the hearing loss cascade of care. We reported the coefficient of variance root mean square error (CV-RMSE), considering values ≤15% to indicate adequate fit. FINDINGS: For SNHL prevalence, the CV-RMSE for model projected male and female age-specific prevalence compared to sex-adjusted National Health and Nutrition Examination Survey (NHANES) data was 4.9 and 5.7%, respectively. Incorporating literature-based age-related decline in SNHL, we validated mean four-frequency average hearing loss in the better ear (dB) among all persons to longitudinal data (CV-RMSE=11.3%). We validated the age-stratified prevalence of CHL to adjusted NHANES data (CV-RMSE=10.9%). We incorporated age- and severity-stratified time to first hearing aid (HA) use data and HA discontinuation data (adjusted for time-period of use) and validated to NHANES estimates on the prevalence of adult HA use (CV-RMSE=10.3%). INTERPRETATION: Our results indicate adequate model fit to internal and external validation data. Future incorporation of cost and severity-stratified utility data will allow for cost-effectiveness analysis of US hearing healthcare interventions across the lifespan. Further research might expand the modeling framework to international settings. FUNDING: This study was funded by the National Institute on Deafness and Other Communication Disorders and the National Institute on Aging (3UL1-TR002553–03S3 and F30 DC019846). Elsevier 2022-01-13 /pmc/articles/PMC8762067/ /pubmed/35072020 http://dx.doi.org/10.1016/j.eclinm.2021.101268 Text en © 2021 Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/3.0/igo/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/igo/).
spellingShingle Articles
Borre, Ethan D.
Myers, Evan R.
Dubno, Judy R.
O'Donoghue, Gerard M.
Diab, Mohamed M.
Emmett, Susan D.
Saunders, James E.
Der, Carolina
McMahon, Catherine M.
Younis, Danah
Francis, Howard W.
Tucci, Debara L.
Wilson, Blake S.
Ogbuoji, Osondu
Schmidler, Gillian D. Sanders
Development and validation of DeciBHAL-US: A novel microsimulation model of hearing loss across the lifespan in the United States
title Development and validation of DeciBHAL-US: A novel microsimulation model of hearing loss across the lifespan in the United States
title_full Development and validation of DeciBHAL-US: A novel microsimulation model of hearing loss across the lifespan in the United States
title_fullStr Development and validation of DeciBHAL-US: A novel microsimulation model of hearing loss across the lifespan in the United States
title_full_unstemmed Development and validation of DeciBHAL-US: A novel microsimulation model of hearing loss across the lifespan in the United States
title_short Development and validation of DeciBHAL-US: A novel microsimulation model of hearing loss across the lifespan in the United States
title_sort development and validation of decibhal-us: a novel microsimulation model of hearing loss across the lifespan in the united states
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8762067/
https://www.ncbi.nlm.nih.gov/pubmed/35072020
http://dx.doi.org/10.1016/j.eclinm.2021.101268
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