Currently submitted to: JMIR Medical Education
Date Submitted: Oct 28, 2023
Open Peer Review Period: Oct 28, 2023 - Dec 23, 2023
Date Accepted: Apr 26, 2024
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
People are different: Exploring anesthesia provider preferences for precision feedback
ABSTRACT
Background:
In health systems, feedback is pervasive and is widely considered to be essential for learning that drives improvement. Clinical quality dashboards are one widely deployed approach to delivering feedback, but engagement with these systems is commonly low, reflecting a limited understanding of how to improve the effectiveness of feedback about health care. When coaches and facilitators deliver feedback for improving performance, they aim to be responsive to the recipient’s motivations, information needs, and preferences. However, such functionality is largely missing from dashboards and feedback reports. Precision feedback is the delivery of high-value, motivating performance information that is prioritized based on its motivational potential for a specific recipient, including their needs and preferences. Anesthesia care offers a clinical domain with high-quality performance data and an abundance of evidence-based quality metrics.
Objective:
The objective of this study is to explore anesthesia provider preferences for precision feedback.
Methods:
We developed a test set of precision feedback messages with balanced characteristics across 4 performance scenarios. We created an experimental design to expose participants to contrasting message versions and elicited their preferences through analysis of the content of preferred messages. Participants rated their perceived benefit of preferred messages to clinical practice on a 5-point Likert scale.
Results:
Preferences were diverse across participants, but largely consistent within participants. Ratings of participants’ perceived benefit to clinical practice for preferred messages were high (M=4.27, SD = 0.77).
Conclusions:
Healthcare professionals exhibited diverse yet internally consistent preferences for precision feedback across a set of performance scenarios, while also giving messages high ratings of perceived benefit. A one-size-fits-most approach to performance feedback delivery would not appear to satisfy these preferences. Precision feedback is a theory-informed approach to prioritizing performance information, based on its motivational potential for a specific recipient. We anticipate that precision feedback systems may hold potential to improve the effectiveness of feedback interventions through the satisfaction of diverse and consistent provider preferences for motivating performance information.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.