Information visualizations of symptom information for patients and providers: a systematic review.
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ABSTRACT: Objective:To systematically synthesize the literature on information visualizations of symptoms included as National Institute of Nursing Research common data elements and designed for use by patients and/or healthcare providers. Methods:We searched CINAHL, Engineering Village, PsycINFO, PubMed, ACM Digital Library, and IEEE Explore Digital Library to identify peer-reviewed studies published between 2007 and 2017. We evaluated the studies using the Mixed Methods Appraisal Tool (MMAT) and a visualization quality score, and organized evaluation findings according to the Health Information Technology Usability Evaluation Model. Results:Eighteen studies met inclusion criteria. Ten of these addressed all MMAT items; 13 addressed all visualization quality items. Symptom visualizations focused on pain, fatigue, and sleep and were represented as graphs (n?=?14), icons (n?=?4), and virtual body maps (n?=?2). Studies evaluated perceived ease of use (n?=?13), perceived usefulness (n?=?12), efficiency (n?=?9), effectiveness (n?=?5), preference (n?=?6), and intent to use (n?=?3). Few studies reported race/ethnicity or education level. Conclusion:The small number of studies for each type of information visualization limit generalizable conclusions about optimal visualization approaches. User-centered participatory approaches for information visualization design and more sophisticated evaluation designs are needed to assess which visualization elements work best for which populations in which contexts.
SUBMITTER: Lor M
PROVIDER: S-EPMC6657383 | biostudies-literature | 2019 Feb
REPOSITORIES: biostudies-literature
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