Evidence map›Paper›PMID 27679840›Full record

ArticleAmerican journal of audiology2016

Identifying and Prioritizing Diseases Important for Detection in Adult Hearing Health Care.

Samantha J Kleindienst, Sumitrajit Dhar, Donald W Nielsen, James W Griffith, Larry B Lundy, Colin Driscoll, Brian Neff, Charles Beatty, David Barrs, David A Zapala

Abstract read
In one paragraph

Article in American journal of audiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

10 authors.

Samantha J KleindienstMayo Clinic, Scottsdale, AZ.
Sumitrajit DharThe Roxelyn & Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, ILThe Hugh Knowles Center, Northwestern University, Evanston, IL.
Donald W NielsenThe Roxelyn & Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, ILThe Hugh Knowles Center, Northwestern University, Evanston, IL.
James W GriffithDepartment of Medical Social Sciences, Northwestern University, Evanston, IL.
Larry B LundyDepartment of Otorhinolaryngology, Mayo Clinic, Jacksonville, FL.
Colin DriscollDepartment of Otorhinolaryngology, Mayo Clinic, Rochester, MN.
Brian NeffDepartment of Otorhinolaryngology, Mayo Clinic, Rochester, MN.
Charles BeattyDepartment of Otorhinolaryngology, Mayo Clinic, Rochester, MN.
David BarrsDepartment of Otolaryngology, Mayo Clinic, Phoenix, AZ.
David A ZapalaDepartment of Otorhinolaryngology, Mayo Clinic, Jacksonville, FL.

Funding

Can Consumers and Audiologists Detect Ear Disease Prior to Hearing Aid Use?R33DC013115 · NIDCD · NORTHWESTERN UNIVERSITY · PI DHAR, SUMITRAJIT, ZAPALA, DAVID · 2015 to 2017
$1.8M
Can Consumers and Audiologists Detect Ear Disease Prior to Hearing Aid Use?R21DC013115 · NIDCD · NORTHWESTERN UNIVERSITY · PI DHAR, SUMITRAJIT, ZAPALA, DAVID · 2013 to 2014
$442k
NIDCD NIH HHS R21 DC013115NIDCD NIH HHS R33 DC013115
6 · The paper itself

Abstract

purposeThe purpose of this research note is to identify and prioritize diseases important for detection in adult hearing health care delivery systems.

methodThrough literature review and expert consultation, the authors identified 195 diseases likely to occur in adults complaining of hearing loss. Five neurotologists rated the importance of disease on 3 dimensions related to the necessity of detection prior to adult hearing aid fitting.

resultsRatings of adverse health consequences, diagnostic difficulty, and presence of nonotologic symptoms associated with these diseases resulted in the identification of 104 diseases potentially important for detection prior to adult hearing aid fitting.

conclusionsCurrent and evolving health care delivery systems, including direct-to-consumer sales, involve inconsistent means of disease detection vigilance prior to device fitting. The first steps in determining the safety of these different delivery methods are to identify and prioritize which diseases present the greatest risk for poor health outcomes and, thus, should be detected in hearing health care delivery systems. Here the authors have developed a novel multidimensional rating system to rank disease importance. The rankings can be used to evaluate the effectiveness of alternative detection methods and to inform public health policy. The authors are currently using this information to validate a consumer questionnaire designed to accurately identify when pre- fitting medical evaluations should be required for hearing aid patients.

Indexed as

Central Nervous System NeoplasmsDiagnostic ErrorsEar DiseasesEar NeoplasmsHearing AidsHearing LossHumansIntracranial HemorrhagesNervous System DiseasesProsthesis FittingStroke

Identifiers

PMID27679840
PMCPMC5333525

What OpenQuestion holds

Textmetadata
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.