Implementing and evaluating visual key information pages compared to text-based key information: protocol for a stepped-wedge cluster randomized trial

Authors

Jessica Mozersky (ORCID: https://orcid.org/0000-0002-4942-4571)
Jingxia Liu (ORCID: https://orcid.org/0000-0002-9434-7907)
Kimberly A. Kaphingst (ORCID: https://orcid.org/0000-0003-2668-9080)
Mary C. Politi (ORCID: https://orcid.org/0000-0001-9103-6495)
Shuang Wu (ORCID: https://orcid.org/0000-0001-7236-6819)
Clara N. Lee (ORCID: https://orcid.org/0000-0003-0514-9448)
Krista Cooksey (ORCID: https://orcid.org/0000-0001-7236-0089)
Molly Volkmar
Eliana C Goldstein
Victor Catalan-Gallegos

Institutions

University of North Carolina at Chapel Hill (US)
Washington University in St. Louis (US)
University of Utah (US)
Huntsman Cancer Institute (US)

Publication Details

Journal: BMC Medical Ethics
Published: 2025-11-29
DOI: https://doi.org/10.1186/s12910-025-01341-y
Primary Topic: Biomedical Text Mining and Ontologies
Type: article
Field-Weighted Citation Impact: 0.00

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article

Implementing and evaluating visual key information pages compared to text-based key information: protocol for a stepped-wedge cluster randomized trial

Jessica Mozersky, Jingxia Liu, Kimberly A. Kaphingst, Mary C. Politi et al.

Nov 29, 2025

BMC Medical Ethics

Biomedical Text Mining and Ontologies

article

Implementing and evaluating visual key information pages compared to text-based key information: protocol for a stepped-wedge cluster randomized trial

Jessica Mozersky, Jingxia Liu, Kimberly A. Kaphingst, Mary C. Politi, Shuang Wu, Clara N. Lee, Krista Cooksey, Molly Volkmar, Eliana C Goldstein, Victor Catalan-Gallegos

November 29, 2025article en

Abstract

No abstract available for this paper.

BMC Medical EthicsVol. 27(1)

University of North Carolina at Chapel Hill (US), Washington University in St. Louis (US), University of Utah (US), Huntsman Cancer Institute (US)

Openalex Percentile: Top 66%

Biomedical Text Mining and Ontologies

DOI Open Access PDF OpenAlex

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