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

Author:

Shaffer Victoria A1ORCID,Wegier Pete2,Valentine K D3,Duan Sean1,Canfield Shannon M4ORCID,Belden Jeffery L4,Steege Linsey M5ORCID,Popescu Mihail6,Koopman Richelle J4

Affiliation:

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

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

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

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

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

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

Abstract

Abstract Objective To assess the impact of patient health literacy, numeracy, and graph literacy on perceptions of hypertension control using different forms of data visualization. Materials and Methods 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. Results 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. 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. Conclusion 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.

Funder

Agency for Healthcare Research and Quality

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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