Changing health care with, for, or against the public: an empirical investigation into the place of the public in health service reconfiguration
Bibliographic record
Abstract
Objectives This study sought to understand the different approaches taken to involving the public in service reconfiguration in the four United Kingdom health systems. Methods This was a multi-method study involving policy document analysis and qualitative semi-structured interviews in England, Northern Ireland, Scotland and Wales. Results Despite the diversity of local situations, interview participants tended to use three frames within which they understood the politics of service reconfigurations: an adversarial approach which assumed conflict over scarce resources (change against the public); a communications approach which defined the problem as educating the public on the desirability of change (change for the public); and a collaborative approach which attempted to integrate the public early into discussions about the shape and nature of desirable services (change with the public). These three framings involved different levels of managerial time, energy, and resources and called on different skill sets, most notably marketing and communications for the communications approach and community engagement for the collaborative approach. Conclusions We argue that these framings of public involvement co-exist within organisations. Health system leaders, in framing service reconfiguration as adversarial, communicative or collaborative, are deciding between conceptions of the relationship between health care organisations and their publics in ways that shape the nature of the debates that follow. Understanding the reasons why organisations adopt these frames would be a fruitful way to advance both theory and practice.
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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 | 0.029 | 0.063 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.015 | 0.029 |
| Scholarly communication | 0.013 | 0.012 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".