Maintaining Clinical Freedom Whilst Achieving Value in Biologics Prescribing: An Integrated Cross-Specialty Consensus of UK Dermatologists, Rheumatologists and Gastroenterologists
Bibliographic record
Abstract
BACKGROUND: Biologics are now key drugs in the management of immune-mediated inflammatory diseases. However, the increasingly complex biologics environment and growing cost pressures in the UK have led to variability in drug commissioning and inequity of patient access across regions. OBJECTIVES: Our objectives were to provide consensus recommendations for enhancing the current situation in biologic prescribing in the UK by balancing clinical freedom with equitable distribution of biologics given the limited availability of resources. METHODS: A modified Delphi approach was used to reach integrated, cross-specialty consensus among dermatologists, rheumatologists and gastroenterologists practising within the English National Health Service (NHS). RESULTS: We describe the concepts of clinical freedom and clinical judgement and demonstrate how, together with patient choice, they can be exercised in the context of biologic prescribing in the NHS. We highlight that in England, local variations occur that are at odds with National Institute for Health and Care Excellence (NICE) guidance; these variably limit the degree to which clinicians can exercise clinical freedom and impact on equity of patient access to treatments. We define factors encompassing a drug's value and identify challenges to the measurement and interpretation of this concept, which can raise barriers to the freedom of clinical choice and appropriate prescribing decisions allowing practices of holistic and personalised medicine. Cross-specialty consensus recommendations on ensuring equitable access to biologics in the NHS while protecting appropriate and individualised drug selection for patients are provided. We have also provided strategies for improving physician-commissioner communication to harmonise equity of patient access to biologics across England and improve patient outcomes. Commentary from patient advisory groups indicates that they welcome our exploration that value does not equal cost and agree that there should be an emphasis on shared decision making, which requires the clinician to practice clinical freedom by aligning the patient's needs and preferences with available treatment choices. CONCLUSIONS: This consensus highlights the need to strike a balance between clinical freedom and short-term cost restrictions to support equitable resource distribution within the English NHS. Consideration of these recommendations may help to harmonise local, regional and national services and balance equity of patient access to biologic treatments with excellence in the NHS.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.110 | 0.131 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.003 | 0.018 |
| Research integrity | 0.008 | 0.010 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".