Evidence map›Paper›PMID 38833256›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2024

Design of patient-facing immunization visualizations affects task performance: an experimental comparison of 4 electronic visualizations.

Jenna Marquard, Robin Austin, Sripriya Rajamani

Abstract readComparative Study
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Reflections on interactive visualization of electronic health records: past, present, future.Journal of the American Medical Informatics Association : JAMIA · 2024
    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

3 authors.

Jenna MarquardSchool of Nursing, University of Minnesota, Minneapolis, MN 55455, United States.
Robin AustinSchool of Nursing, University of Minnesota, Minneapolis, MN 55455, United States.ORCID 0000-0003-1993-4623
Sripriya RajamaniSchool of Nursing, University of Minnesota, Minneapolis, MN 55455, United States.ORCID 0000-0002-5941-7500

Funding

University of MinnesotaUniversity of Minnesota School of Nursing Cora Meidl Siehl Endowed Chair in Nursing Research for Improved Patient Care
6 · The paper itself

Abstract

objectiveThis study experimentally evaluated how well lay individuals could interpret and use 4 types of electronic health record (EHR) patient-facing immunization visualizations. MATERIALS AND

methodsParticipants (n = 69) completed the study using a secure online survey platform. Participants viewed the same immunization information in 1 of 4 EHR-based immunization visualizations: 2 different patient portals (Epic MyChart and eClinicWorks), a downloadable EHR record, and a clinic-generated electronic letter (eLetter). Participants completed a common task, created a standard vaccine schedule form, and answered questions about their perceived workload, subjective numeracy and health literacy, demographic variables, and familiarity with the task.

resultsThe design of the immunization visualization significantly affected both task performance measures (time taken to complete the task and number of correct dates). In particular, those using Epic MyChart took significantly longer to complete the task than those using eLetter or eClinicWorks. Those using Epic MyChart entered fewer correct dates than those using the eLetter or eClinicWorks. There were no systematic statistically significant differences in task performance measures based on the numeracy, health literacy, demographic, and experience-related questions we asked. DISCUSSION: The 4 immunization visualizations had unique design elements that likely contributed to these performance differences.

conclusionBased on our findings, we provide practical guidance for the design of immunization visualizations, and future studies. Future research should focus on understanding the contexts of use and design elements that make tables an effective type of health data visualization.

Indexed as

Electronic Health RecordsHealth LiteracyUser-Computer InterfaceAdolescentAdultFemaleHumansImmunizationMaleMiddle AgedPatient PortalsTask Performance and AnalysisYoung Adultchilddata visualizationhealth recordspatient portalspersonalvaccination

Identifiers

PMID38833256
PMCPMC11491626

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.