Evidence map›Paper›PMID 36367737›Full record

ArticleJAMA health forum2022

Estimated Monetary Value of Future Research Clarifying Uncertainties Around the Optimal Adult Hearing Screening Schedule.

Ethan D Borre, Evan R Myers, Judy R Dubno, Susan D Emmett, Juliessa M Pavon, Howard W Francis, Osondu Ogbuoji, Gillian D Sanders Schmidler

Open access · goldAbstract read
In one paragraph

Article in JAMA health forum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 87% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 3 institutions in 1 country.

Ethan D BorreDepartment of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina.
Evan R MyersDivision of Women's Community and Population Health, Department of Obstetrics & Gynecology, Duke University School of Medicine, Durham, North Carolina.
Judy R DubnoDepartment of Otolaryngology-Head and Neck Surgery, Medical University of South Carolina, Charleston, South Carolina.
Susan D EmmettDepartment of Head and Neck Surgery and Communication Sciences, Duke University School of Medicine, Durham, North Carolina.
Juliessa M PavonDivision of Geriatrics, Department of Medicine, Duke University School of Medicine, Durham, North Carolina.
Howard W FrancisDepartment of Head and Neck Surgery and Communication Sciences, Duke University School of Medicine, Durham, North Carolina.
Osondu OgbuojiDuke Global Health Institute, Duke University, Durham, North Carolina.
Gillian D Sanders SchmidlerDepartment of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina.
Duke University · USDuke Institute for Health Innovation · USMedical University of South Carolina · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007171 · NIGMS · DUKE UNIVERSITY · PI KONTOS, CHRISTOPHER D · 1985 to 2021
$31.2M
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
NIDCD NIH HHS F30 DC019846NIGMS NIH HHS T32 GM007171NIGMS NIH HHS T32 GM145449
6 · The paper itself

Abstract

Importance: Adult hearing screening is not routinely performed, and most individuals with hearing loss (HL) have never had their hearing tested as adults. Objective: To project the monetary value of future research clarifying uncertainties around the optimal adult hearing screening schedule. Design, Setting, and Participants: In this economic evaluation, a validated decision model of HL (DeciBHAL-US: Decision model of the Burden of Hearing loss Across the Lifespan) was used to simulate current detection and treatment of HL vs hearing screening schedules. Key model inputs included HL incidence (0.06%-10.42%/y), hearing aid uptake (0.54%-8.14%/y), screening effectiveness (1.62 × hearing aid uptake), utility benefits of hearing aids (+0.11), and hearing aid device costs ($3690). Distributions to model parameters for probabilistic uncertainty analysis were assigned. The expected value of perfect information (EVPI) and expected value of partial perfect information (EVPPI) using a willingness to pay of $100 000 per quality-adjusted life-year (QALY) was estimated. The EVPI and EVPPI estimate the upper bound of the dollar value of future research. This study was based on 40-year-old persons over their remaining lifetimes in a US primary care setting. Exposures: Screening schedules beginning at ages 45, 55, 65, and 75 years, and frequencies of every 1 or 5 years. Main Outcomes and Measures: The main outcomes were QALYs and costs (2020 US dollars) from a health system perspective. Results: The average incremental cost-effectiveness ratio for yearly screening beginning at ages 55 to 75 years ranged from $39 200 to $80 200/QALY. Yearly screening beginning at age 55 years was the optimal screening schedule in 38% of probabilistic uncertainty analysis simulations. The population EVPI, or value of reducing all uncertainty, was $8.2 to $12.6 billion varying with willingness to pay and the EVPPI, or value of reducing all screening effectiveness uncertainty, was $2.4 billion. Conclusions and Relevance: In this economic evaluation of US adult hearing screening, large uncertainty around the optimal adult hearing screening schedule was identified. Future research on hearing screening has a high potential value so is likely justified.

Indexed as

DeafnessHearing LossAdultCost-Benefit AnalysisHearingHumansMiddle AgedQuality-Adjusted Life YearsUncertainty

Identifiers

PMID36367737
PMCPMC9652748
OpenAlexW4308806534

What OpenQuestion holds

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LicenceCC BY
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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.