Patient judgments about hypertension control: the role of patient numeracy and graph literacy.


Journal

Journal of the American Medical Informatics Association : JAMIA
ISSN: 1527-974X
Titre abrégé: J Am Med Inform Assoc
Pays: England
ID NLM: 9430800

Informations de publication

Date de publication:
07 10 2022
Historique:
received: 12 05 2022
revised: 27 06 2022
accepted: 19 07 2022
pubmed: 6 8 2022
medline: 13 10 2022
entrez: 5 8 2022
Statut: ppublish

Résumé

To assess the impact of patient health literacy, numeracy, and graph literacy on perceptions of hypertension control using different forms of data visualization. Participants (Internet sample of 1079 patients with hypertension) reviewed 12 brief vignettes describing a fictitious patient; each vignette included a graph of the patient's blood pressure (BP) data. We examined how variations in mean systolic blood pressure, BP standard deviation, and form of visualization (eg, data table, graph with raw values or smoothed values only) affected judgments about hypertension control and need for medication change. We also measured patient's health literacy, subjective and objective numeracy, and graph literacy. Judgments about hypertension data presented as a smoothed graph were significantly more positive (ie, hypertension deemed to be better controlled) then judgments about the same data presented as either a data table or an unsmoothed graph. Hypertension data viewed in tabular form was perceived more positively than graphs of the raw data. Data visualization had the greatest impact on participants with high graph literacy. Data visualization can direct patients to attend to more clinically meaningful information, thereby improving their judgments of hypertension control. However, patients with lower graph literacy may still have difficulty accessing important information from data visualizations. Addressing uncertainty inherent in the variability between BP measurements is an important consideration in visualization design. Well-designed data visualization could help to alleviate clinical uncertainty, one of the key drivers of clinical inertia and uncontrolled hypertension.

Identifiants

pubmed: 35927964
pii: 6655787
doi: 10.1093/jamia/ocac129
pmc: PMC9552283
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

1829-1837

Subventions

Organisme : NIDDK NIH HHS
ID : P30 DK092950
Pays : United States
Organisme : AHRQ HHS
ID : R01 HS023328
Pays : United States

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.

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Auteurs

Victoria A Shaffer (VA)

Department of Psychological Sciences, University of Missouri, Columbia, Missouri, USA.

Pete Wegier (P)

Institute of Health Policy, Management, and Evaluation, Humber River Hospital & University of Toronto, Toronto, Ontario, Canada.

K D Valentine (KD)

Health Decision Sciences Center, Massachusetts General Hospital, Boston, Massachusetts, USA.

Sean Duan (S)

Department of Psychological Sciences, University of Missouri, Columbia, Missouri, USA.

Shannon M Canfield (SM)

Department of Family and Community Medicine, University of Missouri, Columbia, Missouri, USA.

Jeffery L Belden (JL)

Department of Family and Community Medicine, University of Missouri, Columbia, Missouri, USA.

Linsey M Steege (LM)

School of Nursing, University of Wisconsin-Madison, Madison, Wisconsin, USA.

Mihail Popescu (M)

Department of Health Management and Informatics, University of Missouri, Columbia, Missouri, USA.

Richelle J Koopman (RJ)

Department of Family and Community Medicine, University of Missouri, Columbia, Missouri, USA.

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