Insights Into Conducting Audiological Research With Clinical Databases.


Journal

American journal of audiology
ISSN: 1558-9137
Titre abrégé: Am J Audiol
Pays: United States
ID NLM: 9114917

Informations de publication

Date de publication:
18 Sep 2020
Historique:
entrez: 18 9 2020
pubmed: 19 9 2020
medline: 25 8 2021
Statut: ppublish

Résumé

Purpose The clinical data stored in electronic health records (EHRs) provide unique opportunities for audiological clinical research. In this article, we share insights from our experience of working with a large clinical database of over 730,000 cases. Method Under a framework outlining the process from patient care to researcher data use, we describe issues that can arise in each step of this process and how we overcame specific issues in our data set. Results Correct interpretation of findings depends on an understanding of the data source and structure, and efforts to establish confidence in the data through the processes are discussed under the framework. Conclusion We conclude that EHRs have considerable utility in audiological research, though researchers must exhibit caution and consideration when working with EHRs.

Identifiants

pubmed: 32946255
doi: 10.1044/2020_AJA-19-00067
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

676-681

Subventions

Organisme : Medical Research Council
ID : MR/S003576/1
Pays : United Kingdom

Auteurs

Lauren K Dillard (LK)

School of Medicine and Public Health, University of Wisconsin-Madison.
VA Rehabilitation Research and Development, National Center for Rehabilitative Auditory Research, Portland, OR.

Gabrielle H Saunders (GH)

VA Rehabilitation Research and Development, National Center for Rehabilitative Auditory Research, Portland, OR.
Manchester Centre for Audiology and Deafness, School of Health Sciences, University of Manchester, United Kingdom.

Oliver Zobay (O)

VA Rehabilitation Research and Development, National Center for Rehabilitative Auditory Research, Portland, OR.
School of Medicine, University of Nottingham, United Kingdom.

Graham Naylor (G)

School of Medicine, University of Nottingham, United Kingdom.

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Classifications MeSH