Best Practices for Data Visualization: Creating and Evaluating a Report for an Evidence-Based Fall Prevention Program (Preprint)

• DOI: 10.2196/preprints.12801
• Publication Date: 2018-11-17T06:52:26Z
• Authors: Srijesa Khasnabish; Zoe Burns; Madeline Couch; Mary Mullin; Randall Newmark; Patricia C Dykes
• Keywords: Best practice; Bar chart

<sec> <title>BACKGROUND</title> Data visualization experts have identified core principles to follow when creating visual displays of data that facilitate comprehension. Such can be applied effective reports for clinicians display compliance with quality improvement protocols. A basic tenet implementation science is continuous monitoring and feedback. Applying best practices catalyze sustainment new </sec> <title>OBJECTIVE</title> To apply create find clear useful. <title>METHODS</title> First, we conducted a systematic literature review identify visualization. We these findings feedback collected via questionnaire improve the Fall TIPS Monthly Report (FTMR), which shows an evidence-based fall prevention program, (Tailoring Interventions Patient Safety). This was based on requirements suggested by expert Stephen Few. then evaluated usability FTMR using 15-item Health Information Technology Usability Evaluation Scale (Health-ITUES). Items were rated 5-point Likert scale from strongly disagree (1) agree (5). <title>RESULTS</title> The results emphasized ideal maximizes information communicated while minimizing cognitive efforts involved interpretation. Factors consider include selecting correct type (e.g. line vs bar graph) simplistic reports. qualitative quantitative evaluations original final revealed improved perceptions their usability. Themes emerged staff interviews value simplified reports, meaningful data, usefulness clinicians. mean (SD) rating Health-ITUES evaluating 3.86 (0.19) increased 4.29 (0.11) revised (Mann Whitney U Test, z=-12.25, P&lt;0.001). <title>CONCLUSIONS</title> Best through clinician use. lessons learned measuring use in context other projects.