Enabling Positive Practice Improvement through Data-Driven Growth: A
model for understanding how data and self-perception lead to practice
change
Abstract
Purpose This paper aims to elucidate the factors that play into
physicians’ experience of receiving practice data and to subsequently
develop a model that describes how individuals may interact with the
data they receive. Methods In a prior study, we conducted a needs
analysis of 105 physicians in the Hamilton-Niagara area in order to
understand which data metrics were most valuable to physicians. Using
these results, we designed an interview guide to study physicians’
perspectives on audit and feedback. By intentional sampling, we
recruited 15 physicians amongst gender groups, types of practice
(academic vs community), and duration of practice. The interviews were
conducted by a single author and transcribed without identifiers. We
then began with an open coding analysis for all of the transcripts, and
thereafter conducted axial coding to group the data into larger themes.
Results Several environmental and personal attributes were identified as
either enabling or counterproductive attributes for participant
improvement. The final proposed model identifies different zones of
engagement on the basis of both the individual practitioner’s growth
mindset and the quality of the existing data system. In the highest
engagement zone, the mindset of the collective leadership is one of
growth. Systemic supports are in place which potentiates learning that
may come from an individual motivated to use their own data. Conclusion
Our model shows how data feedback systems and individual growth-oriented
mindsets interact to augment or hinder clinical practice improvement.
This model provides important guidance to academic and administrative
structures looking to develop appropriate performance feedback systems
with clinicians.