Understanding Women's Cardiovascular Health Using MyStrengths+MyHealth: A Patient-Generated Data Visualization Study...

Area of Science:

• Health Informatics
• Data Visualization
• Patient-Reported Outcomes

Background:

• Patient-generated health data (PGHD) offers valuable insights into individual health experiences.
• Understanding the whole-person health of women, including strengths, challenges, and needs, is crucial for effective care.
• Previous research has not fully leveraged data visualization techniques to analyze complex PGHD patterns.

Purpose of the Study:

• To identify patterns in PGHD for women with and without circulation signs or symptoms using data visualization.
• To visualize and interpret relationships among strengths, challenges, and needs in these groups.
• To generate and test hypotheses based on observed PGHD patterns.

Main Methods:

• Retrospective, observational, case-controlled, and exploratory design.
• Utilized de-identified PGHD from the MyStrengths+MyHealth mobile application (N=383).
• Matched women with (n=80) and without circulation symptoms; analyzed data using visualization, descriptive, and inferential statistics.

Main Results:

• Generated nine hypotheses, with four supported by the data.
• Women without circulation symptoms reported more strengths, challenges, and needs compared to those with symptoms.
• Specific differences included strengths in connecting, challenges in emotions/vision/healthcare, and needs for information/guidance.

Conclusions:

• Data visualization of whole-person health data effectively identified and tested new health patterns.
• Patient perspectives captured through PGHD are essential and should be valued in research and clinical practice.
• Standardization of PGHD can facilitate clinically relevant research and improve clinical interactions and health policies.