Data driven or data informed? How general practitioners use data to evaluate their own and colleagues’ clinical work in clusters
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Data driven or data informed? How general practitioners use data to evaluate their own and colleagues’ clinical work in clusters. / Haase, Christoffer Bjerre; Bearman, Margaret; Brodersen, John Brandt; Risor, Torsten; Hoeyer, Klaus.
I: Sociology of Health and Illness, 2024.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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T1 - Data driven or data informed? How general practitioners use data to evaluate their own and colleagues’ clinical work in clusters
AU - Haase, Christoffer Bjerre
AU - Bearman, Margaret
AU - Brodersen, John Brandt
AU - Risor, Torsten
AU - Hoeyer, Klaus
N1 - Publisher Copyright: © 2023 The Authors. Sociology of Health & Illness published by John Wiley & Sons Ltd on behalf of Foundation for the Sociology of Health & Illness.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - cluster
KW - data
KW - datafication
KW - evaluative judgement
KW - evidential value
KW - general practice
KW - national quality program
KW - quality assessments
U2 - 10.1111/1467-9566.13743
DO - 10.1111/1467-9566.13743
M3 - Journal article
C2 - 38156947
AN - SCOPUS:85181205398
JO - Sociology of Health and Illness
JF - Sociology of Health and Illness
SN - 0141-9889
ER -
ID: 379580563