Healthcare Cost Transparency: Helpful or Confusing for Patients
UX/UI · CASE STUDY · COST TRANSPARENCY
Pictured LEFT A PHOTOGRAPH OF ME BETWEEN ONE OF THE CARD SORTING SESSION, I FACILITATED FOUR and OBSERVED ON TWO SESSIONS. Pictured RIGHT TOP A PARTICIPANT SORTING PROCEDURES INTO CATEGORIES Pictured RIGHT BOTTOM A PHOTOGRAPH OF A FINISHED CARD SORT
Project overview
Projectname Parallon Price Transparency Tool My role lead UX researcher Date August 2019 - June 2020 What did this study involve? We conducted a card sorting exercise for the Parallon Price Transparency Tool to investigate how users categorize the treatments/services/procedures. 8 were recruited based on the screening criteria (Appendix A) to perform this hour-long session hosted at the Nexient MDC in Ann Arbor. Why did we do this? The results from this study were collected to organize the treatments/services/procedures to improve taxonomy, findability and comprehensibility which will in turn increase the intuitiveness of the tool. This report will also describe the methodology, findings and observations of the study.
Screening Critieria
Participants were first asked to file a profile questionnaire (Appendix B) to capture essential demographic information.
1. Must be 18 years and older 2. Not belonging to healthcare related occupation 3. Have average to high technology skills (computer and internet usage) 4. Have either low healthcare (0-4 physician/hospital visits in the last 12 months) or Participants who have high healthcare (4+ physician/hospital visits in the last 12 months)A health visit is anytime your friend or family member has visited doctor, hospital, ER or Urgent Care 5. The participants are not required to provide any details of the medical conditions or reason for their visits.
Participants
Pictured ABOVE TABLE SHOWING Our users were from diverse backgrounds and close to our initial user personas of more female to male ratio and varied age range.
How did we conduct this study?
The participants were shown a small demo to illicit their understanding of what they needed to do. Participants were asked to group 70 index cards with treatment/services/procedures into as many categories and sub-categories they felt necessary and provide titles for each. Participants were also encouraged to suggest label changes and talk aloud.
Each session lasted approximately 1 hour long and at the end of session, all the cards with the group names were collected.
Data Analysis
Pictured ABOVE The following is a screenshot of the procedures with participate-made categories, this spreadsheet allowed us to find commonalities/patterns.
