Information visualizations of symptom information for patients and providers: a systematic review

Lor, Maichou; Koleck, Theresa A.; Bakken, Suzanne

doi:10.1093/jamia/ocy152

Cited by 25 publications

(6 citation statements)

References 74 publications

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“…Past research reviews found that user-preferred features (e.g., visual simplicity and familiarity) often did not result in desired outcomes, certain visual features that highlight certain aspects of risk ratios can inflate perceived risk, and that graphic representations of data did not always outperform text on riskrelated outcomes (Ancker et al, 2006). Another review found that information visualizations aimed at health-care workers were understudied and recommendations for optimizing visualization approaches were unclear given the current evidence base (Lor et al, 2019). Lipkus (2007) provided recommendations about selecting and designing graphical displays of visual information, suggesting that communicators (1) select displays for specific tasks, (2) consider the importance of accurate judgments of risk magnitude, (3) be mindful of information processing heuristics related to height/placement of information, (4) use icon arrays that group cases together, and (5) provide contextual information that explains each graph/display presented to people.…”

Section: Recommendations For Graphical Visual Contentmentioning

confidence: 99%

Advancing Visual Health Communication Research to Improve Infodemic Response

King

Lazard

2020

Health Communication

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During public health crises like the ongoing novel coronavirus pandemic, there is a need to amplify and improve critical health communication messages. This need is due to pandemics producing infodemic conditions, meaning the public information environment is oversaturated with information of questionable accuracy and utility. The strategic use of visuals can be leveraged to improve the quality of health communication during public health crises and lessen the unintended effects of infodemic conditions. In this essay, we review previous visual communication theorizing and research that provide insights for effective and efficient use of graphical (e.g., data visualizations) and illustrative (e.g., photos, illustrations, and content features) visuals. We also discuss and advocate for more systematic research on visual misinformation and visual narratives, as there are significant gaps in the literature about how people interpret, act on, and engage with these visual content types. More systematic research about these areas of visual health communication research will improve public communication during future public health crises.

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Section: Recommendations For Graphical Visual Contentmentioning

confidence: 99%

Advancing Visual Health Communication Research to Improve Infodemic Response

King

Lazard

2020

Health Communication

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“…Succinct data visualizations help individuals review self‐management and clinical data, facilitate communication about self‐management with healthcare providers or family, and inform decisions about self‐management behaviors. A better understanding of how individuals with T2DM perceive and interpret data visualizations may help researchers and designers to improve and optimize the use of mHealth data (Lor, Koleck, & Bakken, 2019).…”

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confidence: 99%

Perceptions of Using Multiple Mobile Health Devices to Support Self‐Management Among Adults With Type 2 Diabetes: A Qualitative Descriptive Study

Lewinski

Vaughn

Diane

et al. 2021

J of Nursing Scholarship

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This study identified facilitators and barriers pertaining to the use of multiple mobile health (mHealth) devices (Fitbit Alta® fitness tracker, iHealth® glucometer, BodyTrace® scale) that support self-management behaviors in individuals with type 2 diabetes mellitus (T2DM). Design: This qualitative descriptive study presents study participants' perceptions of using multiple mobile devices to support T2DM self-management. Additionally, this study assessed whether participants found visualizations, generated from each participant's health data as obtained from the three separate devices, useful and easy to interpret. Methods: Semistructured interviews were completed with a convenience sample of participants (n = 20) from a larger randomized control trial on T2DM self-management. Interview questions focused on participants' use of three devices to support T2DM self-management. A study team member created data visualizations of each interview participant's health data using RStudio. Results: We identified two themes from descriptions of study participants: feasibility and usability. We identified one theme about visualizations created from data obtained from the mobile devices. Despite some challenges, individuals with T2DM found it feasible to use multiple mobile devices to facilitate engagement in T2DM self-management behaviors. Discussion: As mHealth devices become increasingly popular for diabetes self-management and are integrated into care delivery, we must address issues associated with the use of multiple mHealth devices and the use of aggregate data to support T2DM self-management. Clinical Relevance: Real-time patient-generated health data that are easily accessible and readily available can assist T2DM self-management and

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“…Patients need to have the opportunity to participate as true partners in their health care [ 44 ]. Utilizing user-centered participatory approaches allows the evaluation of which elements work best for which populations in which contexts [ 45 ]. Thus, application of human-centered design in health care will exponentially improve the effectiveness of medical care and disease prevention [ 43 ].…”

Section: Discussionmentioning

confidence: 99%

A Novel Method for Digital Pain Assessment Using Abstract Animations: Human-Centered Design Approach

Perdomo¹,

Rao²,

Jonassaint³

2022

JMIR Hum Factors

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Background Patients with chronic pain face several challenges in using clinical tools to help them monitor, understand, and make meaningful decisions about their pain conditions. Our group previously presented data on Painimation, a novel electronic tool for communicating and assessing pain. Objective This paper describes the human-centered design and development approach (inspiration, ideation, and implementation) that led to the creation of Painimation. Methods We planned an iterative and cyclical development process that included stakeholder engagement and feedback from users. Stakeholders included patients with acute and chronic pain, health care providers, and design students. Target users were adults with acute or chronic pain who needed clinical assessment and tracking of the course of their pain over time. Phase I (inspiration) consisted of empathizing with users, understanding how patients experience pain, and identifying the barriers to accurately expressing and assessing pain. This phase involved understanding how patients communicate pain symptoms to providers, as well as defining limitations of current models of clinical pain assessment tools. In Phase II (ideate) we conceptualized and evaluated different approaches to expressing and assessing pain. The most promising concept was developed through an iterative process that involved end users and stakeholders. In Phase III (implementation), based on stakeholder feedback from initial designs and prototypes of abstract pain animations (painimations), we incorporated all concepts to test a minimally viable product, a fully functioning pain assessment app. We then gathered feedback through an agile development process and applied this feedback to finalizing a testable version of the app that could ultimately be used in a pain clinic. Results Engaging intended users and stakeholders in an iterative, human-centered design process identified 5 criteria that a pain assessment tool would need to meet to be effective in the medical setting. These criteria were used as guiding design principles to generate a series of pain assessment concept ideas. This human-centered approach generated 8 highly visual painimations that were found to be acceptable and useable for communicating pain with medical providers, by both patients with general pain and patients with sickle cell disease (SCD). While these initial steps continued refinement of the tool, further data are needed. Agile development will allow us to continue to incorporate precision medicine tools that are validated in the clinical research arena. Conclusions A multiphase, human-centered design approach successfully resulted in the development of an innovation that has potential to improve the quality of medical care, particularly for underserved populations. The use of Painimation may especially benefit the medical care of minority populations with chronic and difficult-to-treat pain, such as adults with SCD. The insights generated from this study can be applied to the development of patient-reported outcomes tools that are more patient-centered, engaging, and effective.

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Information visualizations of symptom information for patients and providers: a systematic review

Cited by 25 publications

References 74 publications

Advancing Visual Health Communication Research to Improve Infodemic Response

Advancing Visual Health Communication Research to Improve Infodemic Response

Perceptions of Using Multiple Mobile Health Devices to Support Self‐Management Among Adults With Type 2 Diabetes: A Qualitative Descriptive Study

A Novel Method for Digital Pain Assessment Using Abstract Animations: Human-Centered Design Approach

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