Evidence map›Paper›PMID 38950171›Full record

ReviewAmerican journal of audiology2024

Implementing Ecological Momentary Assessment in Audiological Research: Opportunities and Challenges.

Nadja Schinkel-Bielefeld, Louise Burke, Inga Holube, Maria Iankilevitch, Lorienne M Jenstad, Dina Lelic, Graham Naylor, Gurjit Singh, Karolina Smeds, Petra von Gablenz and 2 more

Abstract readReview
In one paragraph

Review in American journal of audiology, 2024. 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. Trial
  2. Observational
  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

12 authors.

Nadja Schinkel-BielefeldWS Audiology, Erlangen, Germany.ORCID 0000-0003-1273-176X
Louise BurkeSchool of Medicine, University of Nottingham, United Kingdom.
Inga HolubeInstitute of Hearing Technology and Audiology, Jade University of Applied Sciences, Oldenburg, Germany.
Maria IankilevitchDepartment of Psychology, University of Victoria, British Columbia, Canada.
Lorienne M JenstadSchool of Audiology and Speech Sciences, The University of British Columbia, Vancouver, Canada.
Dina LelicWS Audiology, Lynge, Denmark.ORCID 0000-0001-5818-2191
Graham NaylorSchool of Medicine, University of Nottingham, United Kingdom.
Gurjit SinghSonova Canada, Kitchener, Ontario, Canada.
Karolina SmedsORCA Europe, WS Audiology, Stockholm, Sweden.
Petra von GablenzInstitute of Hearing Technology and Audiology, Jade University of Applied Sciences, Oldenburg, Germany.
Florian WoltersORCA Europe, WS Audiology, Stockholm, Sweden.
Yu-Hsiang WuDepartment of Communication Sciences and Disorders, The University of Iowa, Iowa City.ORCID 0000-0002-8319-583X

Funding

Cost-effective hearing aid delivery models: Outcomes, value, and candidacyR01DC015997 · NIDCD · UNIVERSITY OF IOWA · PI Yu-Hsiang Wu · 2018 to 2026
$3.9M
NIDCD NIH HHS R01 DC015997
6 · The paper itself

Abstract

Ecological momentary assessment (EMA) is a way to evaluate experiences in everyday life. It is a powerful research tool but can be complex and challenging for beginners. Application of EMA in audiological research brings with it opportunities and challenges that differ from other research disciplines. This tutorial discusses important considerations when conducting EMA studies in hearing care. While more research is needed to develop specific guidelines for the various potential applications of EMA in hearing research, we hope this article can alert hearing researchers new to EMA to pitfalls when using EMA and help strengthen their study design. The current article elaborates study design details, such as choice of participants, representativeness of the study period for participants' lives, and balancing participant burden with data requirements. Mobile devices and sensors to collect objective data on the acoustic situation are reviewed alongside different possibilities for EMA setups ranging from online questionnaires paired with a timer to proprietary apps that also have access to parameters of a hearing device. In addition to considerations for survey design, a list of questionnaire items from previous studies is provided. For each item, an example and a list of references are given. EMA typically provides data sets that are rich but also challenging in that they are noisy, and there is often unequal amount of data between participants. After recommendations on how to check the data for compliance, reactivity, and careless responses, methods for statistical analysis on the individual level and on the group level are discussed including special methods for direct comparison of hearing device programs.

Indexed as

AudiologyEcological Momentary AssessmentResearch DesignBiomedical ResearchHumansSurveys and Questionnaires

Identifiers

PMID38950171
PMCPMC11427935

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.