Evidence map›Paper›PMID 35671467›Full record

ReviewAmerican journal of audiology2022

Implementation Science: Increasing the Public Health Impact of Audiology Research.

Christina R Studts

Abstract readReview
In one paragraph

Review in American journal of audiology, 2022. 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. Article
  2. Review
  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

1 author.

Christina R StudtsDepartment of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora.ORCID 0000-0002-4856-7255

Funding

COVID-19 effects on children who are deaf or hard of hearing and their families: Rapid and rigorous mixed-methods research to inform careR01DC016957 · NIDCD · UNIVERSITY OF KENTUCKY · PI STUDTS, CHRISTINA RUTH · 2018 to 2022
$3.5M
NIDCD NIH HHS R01 DC016957
6 · The paper itself

Abstract

purposeImplementation science aims to facilitate the use of evidence-based programs, practices, and policies in routine care settings. In audiology, as in other health disciplines, there is a persistent research-to-practice gap. Improving the adoption, reach, implementation, and sustainment of effective interventions in audiology would increase their public health impact, ensuring that all individuals needing hearing health care services could benefit from innovations and evidence-based best practices. This tutorial provides an introductory overview of implementation science relevant to the field of audiology, including Internet-based practices and interventions.

methodMajor concepts and themes of implementation science are presented, including implementation outcomes, implementation science frameworks, implementation strategies, current topics in implementation science, and study design considerations. Recent publications in audiology are highlighted to illustrate implementation science concepts and themes. The relevance of each topic to the use of evidence-based programs, practices, and policies in audiology is highlighted with reference to recent research in the field.

conclusionsChallenges in the widespread delivery of evidence-based audiological practices and interventions limit their public health impact. The application of implementation science principles and methods in audiology research, as demonstrated in other areas of health research, can increase our focus on ensuring that effective practices are widely available, accessible, equitable, and sustainable to improve the lives of those who need them.

Indexed as

AudiologyImplementation ScienceEvidence-Based PracticeHumansPublic Health

Identifiers

PMID35671467
PMCPMC9886166

What OpenQuestion holds

Textmetadata
LicenceCC BY-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.