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Development and initial evaluation of a treatment decision dashboard.
James G Dolan1, Peter J Veazie, Ann J Russ
1Department of Public Health Sciences, University of Rochester School of Medicine & Dentistry, 265 Crittenden Blvd, CU420644, Rochester, NY 14642, USA. james_dolan@urmc.rochester.edu.
BMC Medical Informatics and Decision Making
|April 23, 2013
Summary
Interactive decision dashboards can help patients make informed healthcare choices. This study adapted management decision dashboards for clinical use, showing potential for improved patient decision-making and patient-centered care.
Area of Science:
- Health Informatics
- Decision Science
- Patient-Centered Care
Background:
- Healthcare decisions often involve complex choices with multiple alternatives, hindering informed decision-making.
- Interactive decision dashboards, successful in management, use data visualization and self-directed information flow to simplify complex choices.
- Adapting these dashboards for clinical settings may enhance patient understanding and engagement.
Purpose of the Study:
- To determine if interactive decision dashboards can be adapted for clinical use as a patient decision aid.
- To create a clinically realistic prototype patient decision aid for evaluation.
Main Methods:
- Developed a computerized, interactive clinical decision dashboard for knee osteoarthritis analgesics.
- Conducted a pilot test assessing clinical feasibility and acceptability using multi-method analysis.
- Evaluated usability, acceptability, decisional conflict, and participant interaction through observations and questionnaires.
Main Results:
- 25 volunteers (average age 51) participated, interacting with the dashboard for a mean of 4.6 minutes.
- High scores were reported for mechanical and cognitive ease of use (6.1, 6.2), decision-aiding effectiveness (5.9), clarification of values (6.5), and information provision (6.0).
- Low emotional difficulty (2.7) and reduction in decisional uncertainty (6.1) were also noted, with positive qualitative findings.
Conclusions:
- Interactive decision dashboards are adaptable for clinical applications.
- These dashboards show potential for fostering informed patient decision-making and supporting patient-centered care.
- Further research is needed to rigorously evaluate their effectiveness and efficiency.
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