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

Simple item page
dc.contributor.authorBorre, Ethan
dc.contributor.authorMyers, Evan
dc.contributor.authorDubno, Judy
dc.contributor.authorO’Donoghue, Gerard
dc.contributor.authorDiab, Mohamed
dc.contributor.authorEmmett, Susan
dc.contributor.authorSaunders, James
dc.contributor.authorDer, Carolina
dc.contributor.authorMcMahon, Catherine
dc.contributor.authorYounis, Danah
dc.contributor.authorFrancis, Howard
dc.contributor.authorTucci, Debara
dc.contributor.authorWilson, Blake
dc.contributor.authorOgbuoji, Osondu
dc.contributor.authorSanders, Gillian
dc.date.accessioned2023-04-25T17:05:49Z
dc.date.available2023-04-25T17:05:49Z
dc.date.issued2022
dc.description.abstractBackground: 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.
dc.description.versionVersión Publicada
dc.identifier.citationBorre ED, Myers ER, Dubno JR, O'Donoghue GM, Diab MM, Emmett SD, Saunders JE, Der C, McMahon CM, Younis D, Francis HW, Tucci DL, Wilson BS, Ogbuoji O, Schmidler GDS. Development and validation of DeciBHAL-US: A novel microsimulation model of hearing loss across the lifespan in the United States. EClinicalMedicine. 2022 Jan 13;44:101268. doi: 10.1016/j.eclinm.2021.101268
dc.identifier.doihttps://doi.org/10.1016/j.eclinm.2021.101268
dc.identifier.urihttps://repositorio.udd.cl/handle/11447/7376
dc.language.isoen
dc.subjectHearing loss across
dc.subjectUnited States
dc.titleDevelopment and validation of DeciBHAL-US: A novel microsimulation model of hearing loss across the lifespan in the United States
dc.typeArticle
dcterms.accessRightsAcceso Abierto
dcterms.sourceEClinicalMedicine
dspace.entity.typePublication

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
2. Development and validation of DeciBHAL-US.pdf
Size:
572.53 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Artículos Medicina y Ciencias de la Salud

Implementado por OpenGeek Services