User-Centered Design to Reduce Inappropriate Blood Transfusion Orders

Author:

Morse Brad1,Anstett Tyler2,Mistry Neelam2,Porter Samuel2,Pincus Sharon3,Lin Chen-Tan1,Novins-Montague Sylvie3,Ho P. Michael4

Affiliation:

1. Department of Medicine, Division of General Internal Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States

2. Department of Medicine, Division Hospital Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States

3. Adult & Child Center for Outcomes Research & Delivery Science/The NavLab, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States

4. Department of Medicine, Division of Cardiology, University of Colorado School of Medicine, Aurora, Colorado, United States

Abstract

Abstract Background To improve blood transfusion practices, we applied user-centered design (UCD) to evaluate potential changes to blood transfusion orders. Objectives The aim of the study is to build effective transfusion orders with different designs to improve guideline adherence. Methods We developed three different versions of transfusion orders that varied how information was presented to clinicians ordering blood transfusions. We engaged 14 clinicians (residents, advanced practice providers [APPs], and attending physicians) from different specialties. We used the think aloud technique and rapid qualitative analysis to generate themes to incorporate into our modified orders. Results Most end-users who participated in the semi-structured interviews preferred the interruptive alert design plus behavioral nudges (n = 8/14, 57%). The predominant rationale was that the in-line alert was not visually effective in capturing the end-user's attention, while the interruptive alert forced a brief stop in the workflow to consider the guidelines. All users supported the general improvements, though for different reasons, and as a result, the general improvements remained in the designs for the forthcoming trial. Conclusion The user experience uncovered through the think aloud approach produced a clear and rich understanding of potentially confounding factors in the initial design of different intervention versions. Input from end-users guided the creation of all three designs so each was addressing human factors with parity, which ensured that the results of our study reflected differences in interruptive properties of the alerts and not differences in design.

Publisher

Georg Thieme Verlag KG

Subject

Health Information Management,Computer Science Applications,Health Informatics

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