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Data driven or data informed? How general practitioners use data to evaluate their own and colleagues' clinical work
Christoffer Bjerre Haase1,2,3, Margaret Bearman2, John Brandt Brodersen3,4,5
1Department of Public Health, Section for Health Services Research, University of Copenhagen, Copenhagen, Denmark.
General practitioners (GPs) in Denmark use data to assess clinical quality. They change practices when data discussions influence their quality perceptions, suggesting a shift from
Area of Science:
- Health Services Research
- Sociology of Health
- Science and Technology Studies
Background:
- Policymakers increasingly advocate for 'data-driven' healthcare to enhance quality.
- A Danish national quality development program mandates general practitioners (GPs) to use clinic-derived data for self-assessment within 'clusters'.
- This program involves comparing clinical quality using benchmarks and averages.
Purpose of the Study:
- To explore how GPs understand and trust data used for quality assurance.
- To investigate the influence of data-driven discussions on GPs' clinical practices and quality perceptions.
- To examine the role of sociological engagement with evidence in daily medical practice.
Main Methods:
- Semi-structured interviews with Danish general practitioners.
- Qualitative analysis informed by Science and Technology Studies.
- Exploration of GPs' trust in and interpretation of clinical quality data.
Main Results:
- GPs' understanding and trust in data are crucial for its impact on practice.
- Discussions around data, rather than data alone, prompt changes in clinical practices.
- The integration of data into quality assurance influences GPs' perceptions of clinical quality.
Conclusions:
- A shift from a 'data-driven' to a 'data-informed' approach is recommended for healthcare.
- Sociological perspectives are vital for understanding evidence use in medical practice.
- Effective data utilization in healthcare requires attention to how evidence is interpreted and trusted by practitioners.
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