Table 3.

Characteristics of interview participants.

ID	Gender	Age (years)	Ethnicity	Occupation	Technology proficiency level	Health literacy level
Patient 1	Female	50-64	White	Unemployed	4	5
Patient 2	Male	50-64	African American	Retired	5	4
Patient 3	Female	50-64	White	Retired	5	5
Patient 4	Male	50-64	White	Technical analyst	5	5
Patient 5	Male	26-49	White	IT clerk	5	3
Patient 6	Male	26-49	White	Dog trainer	4	3
Patient 7	Female	50-64	White	Landscaper	3	4
Patient 8	Female	50-64	White	Executive assistant	5	5
Patient 9	Male	18-25	Asian	Medical assistant	4	4
Patient 10	Male	26-49	Asian	Visual artist	5	5
Patient 11	Female	26-49	White	Office assistant	2	4
Patient 12	Female	26-49	White	Sales	5	5
Patient 13	Female	26-49	White	Unemployed	4	4