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Enabling positive practice improvement through data-driven feedback: A model for understanding how data and

Rana Kamhawy1, Teresa M Chan2, Shawn Mondoux2

  • 1Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada.

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|October 30, 2020
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Area of Science:

  • Medical Informatics
  • Healthcare Management
  • Physician Performance

Background:

  • Physician engagement with practice data is crucial for quality improvement.
  • Understanding factors influencing data use is essential for effective feedback systems.

Purpose of the Study:

  • Identify factors influencing physicians' reception and use of practice data.
  • Develop a model of physician interaction with performance feedback.

Main Methods:

  • Qualitative study using semi-structured interviews with 15 physicians.
  • Analysis of interview transcripts using open and axial coding to identify themes.

Main Results:

  • Physician improvement is influenced by enabling and counterproductive attributes.
  • A model was developed showing engagement zones based on practitioner mindset and data system quality.
  • High engagement occurs when leadership fosters a growth mindset and systemic supports are present.

Conclusions:

  • A novel model illustrates how data feedback systems and individual mindsets interact to impact clinical practice improvement.
  • The model offers leaders a framework to assess structures influencing clinician engagement with performance data.