Attitudes on data reuse among internal medicine residents.


Journal

Journal of the Medical Library Association : JMLA
ISSN: 1558-9439
Titre abrégé: J Med Libr Assoc
Pays: United States
ID NLM: 101132728

Informations de publication

Date de publication:
01 Apr 2024
Historique:
medline: 9 8 2024
pubmed: 9 8 2024
entrez: 9 8 2024
Statut: ppublish

Résumé

NYU Langone Health offers a collaborative research block for PGY3 Primary Care residents that employs a secondary data analysis methodology. As discussions of data reuse and secondary data analysis have grown in the data library literature, we sought to understand what attitudes internal medicine residents at a large urban academic medical center had around secondary data analysis. This case report describes a novel survey on resident attitudes around data sharing. We surveyed internal medicine residents in three tracks: Primary Care (PC), Categorical, and Clinician-Investigator (CI) tracks as part of a larger pilot study on implementation of a research block. All three tracks are in our institution's internal medicine program. In discussions with residency directors and the chief resident, the term "secondary data analysis" was chosen over "data reuse" due to this being more familiar to clinicians, but examples were given to define the concept. We surveyed a population of 162 residents, and 67 residents responded, representing a 41.36% response rate. Strong majorities of residents exhibited positive views of secondary data analysis. Moreover, in our sample, those with exposure to secondary data analysis research opined that secondary data analysis takes less time and is less difficult to conduct compared to the other residents without curricular exposure to secondary analysis. The survey reflects that residents believe secondary data analysis is worthwhile and this highlights opportunities for data librarians. As current residents matriculate into professional roles as clinicians, educators, and researchers, libraries have an opportunity to bolster support for data curation and education.

Sections du résumé

Background UNASSIGNED
NYU Langone Health offers a collaborative research block for PGY3 Primary Care residents that employs a secondary data analysis methodology. As discussions of data reuse and secondary data analysis have grown in the data library literature, we sought to understand what attitudes internal medicine residents at a large urban academic medical center had around secondary data analysis. This case report describes a novel survey on resident attitudes around data sharing.
Methods UNASSIGNED
We surveyed internal medicine residents in three tracks: Primary Care (PC), Categorical, and Clinician-Investigator (CI) tracks as part of a larger pilot study on implementation of a research block. All three tracks are in our institution's internal medicine program. In discussions with residency directors and the chief resident, the term "secondary data analysis" was chosen over "data reuse" due to this being more familiar to clinicians, but examples were given to define the concept.
Results UNASSIGNED
We surveyed a population of 162 residents, and 67 residents responded, representing a 41.36% response rate. Strong majorities of residents exhibited positive views of secondary data analysis. Moreover, in our sample, those with exposure to secondary data analysis research opined that secondary data analysis takes less time and is less difficult to conduct compared to the other residents without curricular exposure to secondary analysis.
Discussion UNASSIGNED
The survey reflects that residents believe secondary data analysis is worthwhile and this highlights opportunities for data librarians. As current residents matriculate into professional roles as clinicians, educators, and researchers, libraries have an opportunity to bolster support for data curation and education.

Identifiants

pubmed: 39119170
doi: 10.5195/jmla.2024.1772
pii: jmla.2024.1772
pmc: PMC11305464
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

81-87

Informations de copyright

Copyright © 2024 Fred Willie Zametkin LaPolla, Genevieve Milliken, Colleen Gillespie.

Auteurs

Fred Willie Zametkin LaPolla (FWZ)

fred.lapolla@nyulangone.org, Research and Data Librarian, Head of Data Services, NYU Health Sciences Library, NYU Langone Health, New York City, NY.

Genevieve Milliken (G)

Genevieve.Milliken@nyulangone.org, Data Services Librarian, NYU Health Sciences Library, NYU Langone Health, New York City, NY.

Colleen Gillespie (C)

colleen.gillespie@nyulangone.org, Institute for Innovations in Medical Education, New York University Grossman School of Medicine, NYU Langone Health, New York City, NY.

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