Evidence map›Paper›PMID 35072020›Full record

ArticleEClinicalMedicine2022

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

Ethan D Borre, Evan R Myers, Judy R Dubno, Gerard M O'Donoghue, Mohamed M Diab, Susan D Emmett, James E Saunders, Carolina Der, Catherine M McMahon, Danah Younis and 5 more

Abstract read
In one paragraph

Article in EClinicalMedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. The impact of hearing loss on annual incident age-associated dementia cases and quality of life in the United States.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Ethan D BorreDepartment of Population Health Sciences, Duke University School of Medicine, Durham, NC, United States of America.
Evan R MyersDivision of Women's Community and Population Health, Department of Obstetrics & Gynecology, Duke University School of Medicine, Durham, NC, United States of America.
Judy R DubnoDepartment of Otolaryngology-Head and Neck Surgery, Medical University of South Carolina, Charleston, SC, United States of America.
Gerard M O'DonoghueDepartment of Otolaryngology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom.
Mohamed M DiabDuke Global Health Institute, Duke University, Durham, NC, United States of America.
Susan D EmmettDuke Global Health Institute, Duke University, Durham, NC, United States of America.
James E SaundersDepartment of Surgery, Geisel School of Medicine, Dartmouth University, Lebanon, NH, United States of America.
Carolina DerFacultad de Medicina Universidad del Desarrollo, Clínica Alemana de Santiago, Santiago, Chile.
Catherine M McMahonHEAR Centre, Macquarie University, Sydney, Australia.
Danah YounisDuke-Margolis Center for Health Policy, Duke University, Durham, NC, United States of America.
Howard W FrancisDepartment of Head and Neck Surgery and Communication Sciences, Duke University School of Medicine, Durham, NC, United States of America.
Debara L TucciNational Institute on Deafness and Other Communication Disorders, National Institutes of Health, Bethesda, MD, United States of America.
Blake S WilsonDuke Global Health Institute, Duke University, Durham, NC, United States of America.
Osondu OgbuojiDuke-Margolis Center for Health Policy, Duke University, Durham, NC, United States of America.
Gillian D Sanders SchmidlerDepartment of Population Health Sciences, Duke University School of Medicine, Durham, NC, United States of America.

Funding

Support for QA/QC for Prior Approval ProcessUL1TR002553 · NCATS · DUKE UNIVERSITY · PI LI, JENNIFER S, MCNAMARA, JAMES O. · 2018 to 2023
$58.5M
Medical Scientist Training Program Training GrantT32GM145449 · NIGMS · DUKE UNIVERSITY · PI Christopher D Kontos · 2022 to 2026
$6.6M
Economic Evaluation and Research Prioritization of Adult Hearing Screening in the USF30DC019846 · NIDCD · DUKE UNIVERSITY · PI BORRE, ETHAN D · 2021 to 2022
$88k
NCATS NIH HHS UL1 TR002553NIDCD NIH HHS F30 DC019846NIGMS NIH HHS T32 GM145449
6 · The paper itself

Abstract

backgroundHearing 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.

methodsWe 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.

findingsFor 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%).

interpretationOur 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.

fundingThis 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).

Identifiers

PMID35072020
PMCPMC8762067

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.