Data driven or data informed? How general practitioners use data to evaluate their own and colleagues' clinical work in clusters.

Autor: Haase CB; Department of Public Health, Section for Health Services Research, University of Copenhagen, Copenhagen, Denmark.; Centre for Research in Assessment and Digital Learning (CRADLE), Deakin University, Melbourne, Victoria, Australia.; Department of Public Health, Centre of General Practice, University of Copenhagen, Copenhagen, Denmark., Bearman M; Centre for Research in Assessment and Digital Learning (CRADLE), Deakin University, Melbourne, Victoria, Australia., Brodersen JB; Department of Public Health, Centre of General Practice, University of Copenhagen, Copenhagen, Denmark.; Research Unit for General Practice, Region Zealand, Denmark.; Research Unit for General Practice, UiT The Arctic University of Norway, Tromsø, Norway., Risor T; Department of Public Health, Centre of General Practice, University of Copenhagen, Copenhagen, Denmark.; Section for General Practice, Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway., Hoeyer K; Department of Public Health, Section for Health Services Research, University of Copenhagen, Copenhagen, Denmark.
Jazyk: angličtina
Zdroj: Sociology of health & illness [Sociol Health Illn] 2024 Jun; Vol. 46 (5), pp. 948-965. Date of Electronic Publication: 2023 Dec 29.
DOI: 10.1111/1467-9566.13743
Abstrakt: In contemporary policy discourses, data are presented as key assets for improving health-care quality: policymakers want health care to become 'data driven'. In this article, we focus on a particular example of this ambition, namely a new Danish national quality development program for general practitioners (GPs) where doctors are placed in so-called 'clusters'. In these clusters, GPs are obliged to assess their own and colleagues' clinical quality with data derived from their own clinics-using comparisons, averages and benchmarks. Based on semi-structured interviews with Danish GPs and drawing on Science and Technology Studies, we explore how GPs understand these data, and what makes them trust-or question-a data analysis. The GPs describe how they change clinical practices based on these discussions of data. So, when and how do data for quality assurance come to influence their perceptions of quality? By exploring these issues, we carve out a role for a sociological engagement with evidence in everyday medical practices. In conclusion, we suggest a need to move from the aim of being data driven to one of being data informed.
(© 2023 The Authors. Sociology of Health & Illness published by John Wiley & Sons Ltd on behalf of Foundation for the Sociology of Health & Illness.)
Databáze: MEDLINE
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