| Data elements |
Existing or future or potential data elements (eg, weight, blood pressure, medication adherence, and symptoms) |
data useful for specific role in cancer care included weight and medications (Figures 1,5, and 6) and the list of symptoms (Figure 10) [MDa1 and RNb2] data less critical for some given job roles included blood glucose measures (Figures 3 and 4) [RN4 and MD4] suggestions for additional data elements or information included additional measures such as heart rate [MD1 and RN4], temperature [RN1 and RN2], body mass index [MD3], lab values [RN1], meal times or what eaten [RN1, RN2, MD3, and MD4], physical activity engagement [RN1], sleep [MD1], swelling [MD2], symptoms that may be particular or specific to certain cancer therapies [MD2, RN2, and MD3] patient-identified symptoms [RN2 and MD3] a legend defining the symptoms [MD1] meaning of the symptom scale ratings [MD1] reasons for missed medications [MD2, MD3, and RN1] values and description of the normal values and ranges for blood glucose and blood pressure [MD2] goals of care [RN1] treatments [RN1] patient-reported reasons for abnormal values [RN2]
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| Supportive elements |
Aspects of the visualization that supported the participant’s understanding of the patient or that they thought were helpful |
the color orange drew attention and helped participants find data points or patterns in the data that might require attention or indicate something abnormal more easily [MD1, MD3, MD4, RN1, RN3, and RN4] icons of different shapes in Figures 5 and 6 helped participants follow the line graph progression [MD1, MD2, MD4, and RN2] gray bands indicating normal ranges (Figures 3-6) helped identify abnormal data points [MD2, MD3, RN1, and RN4] calendar format and line graphs were helpful because clinicians are accustomed to them [MD1, RN1, RN2, and RN4], are used in practice [MD1 and RN1], and help see trends [MD1-MD4 and RN1-RN4] having details on demand was helpful [MD1-MD4 and RN1-RN4] and does not to lead to overpopulation of data within the visualization [MD3] suggestions for additional supportive elements included a pop-up with a numeric scale for normal ranges [MD4] or an indication of how the normal range was derived [MD3]
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| Confusing elements |
Aspects of the visualization that the participant does not understand or finds confusing or unhelpful |
Figure 1: Unsure if blank spaces indicated that measurements were normal or not taken [MD2, MD3, and MD4] Figures 1 and 5: Unclear about how the weight increase was calculated [MD2, MD3, and RN4] Figure 7: Circles confusing or overwhelming [MD2, MD4, RN2, RN3, and RN4] Figure 8: Unsure if the empty rectangles indicated normal readings or no measures taken that day [RN2, RN3, RN4, and MD4] Figure 10: Lack of clarity about the meaning of the numeric scale [RN3 and RN4]; unsure about threshold values for the numeric scores that led to values being highlighted in orange or whether the thresholds were the same across all symptoms [RN1]; miniature line graphs hard to interpret [MD1, MD2, MD4, and RN3]; and hard to understand, compare, and interpret the 2 different ways of quantifying symptoms [RN1, RN2, and RN4]
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| Interpretation |
Information obtained or conclusions drawn about the patient from the visualization |
Figures 1 and 2: Used calendar view to identify issue of missed medications of Thursdays [MD1-MD4, RN2, and RN4] Figures 3 and 4: Dips and peaks in the blood glucose line graph helped identify instances of hypo- or hyperglycemia [MD1 and MD2] or hypothesize if patient had well-controlled blood glucose [MD7 and MD8]; time indications at the top of the graph or pop-up helped hypothesize how meals may relate to dips and peaks [MD2, MD4, and RN1]
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| Use of visualization |
Ways the participant would or could use the visualization |
visualizations could help clinicians gain an understanding of patient outside the clinic [MD1 and MD2], help them prepare specific questions regarding Thursdays [MD1-MD4, and RN4] and the cause of rapid weight gain [MD2], discuss the patient’s symptom experiences or management [RN4 and MD4], make clinic time more efficient [MD1 and MD2] visualizations could help patients remember health experiences [MD2] and empower patients to engage in health management [MD4]. Together clinicians and patients could use visualizations to support personalized cancer care [MD1-MD4, and RN1-RN4], facilitate interactions that focused more on the patient and their specific needs [MD1, MD2, RN2], and better guide conversations between clinicians and patients [RN3, RN4, MD3, and MD4]
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