Overruling uncertainty about preventative medications: the social organisation of healthcare professionals’ knowledge and practices
Bibliographic record
Abstract
In this article, we draw on an institutional ethnographic (IE) study of cardiovascular disease prevention in general practice, exploring the work of healthcare professionals who introduce a discussion of risk and preventative medications into consultations with patients. Our aim is to explicate, using IE's theoretical ontology and analytical tools, how troubling patient experiences in this clinical context are coordinated institutionally. We focus our attention on the social organisation of healthcare professionals' knowledge and front-line practices, highlighting the textual processes through which they overrule patients' concerns and uncertainties about taking preventative medication, such that some patients feel unable to openly discuss their health needs in preventative consultations. We show how healthcare professionals activate knowledge of 'evidence-based risk reduction' to frame patients' queries as 'barriers' to be overcome. Our analysis points not to deficiencies of healthcare professionals who lack the expertise or inclination to adequately 'share decisions' with patients, but to the ways in which their work is institutionally orientated towards performance measures which will demonstrate to local and national policymakers that they are tackling the 'burden of (cardiovascular) disease'.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".