Evidence map›Paper›PMID 35927964›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2022

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

Victoria A Shaffer, Pete Wegier, K D Valentine, Sean Duan, Shannon M Canfield, Jeffery L Belden, Linsey M Steege, Mihail Popescu, Richelle J Koopman

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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

6 citing papers in PubMed, 9 citations in OpenAlex.

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  6. Meeting the information and communication needs of health disparate populations.Journal of the American Medical Informatics Association : JAMIA · 2022
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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

9 authors at 5 institutions in 2 countries.

Victoria A ShafferDepartment of Psychological Sciences, University of Missouri, Columbia, Missouri, USA.ORCID 0000-0002-2533-7115
Pete WegierInstitute of Health Policy, Management, and Evaluation, Humber River Hospital & University of Toronto, Toronto, Ontario, Canada.
K D ValentineHealth Decision Sciences Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
Sean DuanDepartment of Psychological Sciences, University of Missouri, Columbia, Missouri, USA.
Shannon M CanfieldDepartment of Family and Community Medicine, University of Missouri, Columbia, Missouri, USA.ORCID 0000-0002-6577-8484
Jeffery L BeldenDepartment of Family and Community Medicine, University of Missouri, Columbia, Missouri, USA.
Linsey M SteegeSchool of Nursing, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID 0000-0002-8508-7787
Mihail PopescuDepartment of Health Management and Informatics, University of Missouri, Columbia, Missouri, USA.
Richelle J KoopmanDepartment of Family and Community Medicine, University of Missouri, Columbia, Missouri, USA.
University of Missouri · USMassachusetts General Hospital · USUniversity of Missouri Health System · USUniversity of Toronto · CAUniversity of Wisconsin–Madison · US

Funding

Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
Optimizing Display of Blood Pressure Data to Support Clinical Decision MakingR01HS023328 · AHRQ · UNIVERSITY OF MISSOURI-COLUMBIA · PI KOOPMAN, RICHELLE J · 2015 to 2019
$2.2M
AHRQ HHS R01 HS023328NIDDK NIH HHS P30 DK092950
6 · The paper itself

Abstract

objectiveTo assess the impact of patient health literacy, numeracy, and graph literacy on perceptions of hypertension control using different forms of data visualization. MATERIALS AND

methodsParticipants (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.

resultsJudgments 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. DISCUSSION: 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.

conclusionAddressing 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.

Indexed as

Health LiteracyHypertensionClinical Decision-MakingHumansJudgmentUncertaintydata visualizationhypertensionprimary carerisk perception

Identifiers

PMID35927964
PMCPMC9552283
OpenAlexW4289888731

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.