The meaning of'health improvement'
Bibliographic record
Abstract
Objective To explore how those working in and with primary care organisations understand the term 'health improvement'. Design Six qualitative case studies. Setting Primary Care Groups and Trusts and partner organisations. Method Semi-structured interviews with senior personnel from participating organisations. Results Informants offered a wide range of definitions which generally combined more than one meaning. Replies ranged from, on the one hand, an emphasis on National Health Service (NHS) service provision to, on the other, an emphasis on the socioeconomic determinants of population health, or the quality of life of individuals. Some explained the term primarily as a government strategy; some, as a set of activities for the NHS; some, in terms of the overarching purpose of health improvement. Conclusion Our informants offered more detailed definitions of 'health improvement' than are articulated in Department of Health documents. However, they did not include health inequalities in their definition. Recent government announcements about health inequalities targets may help to ensure that all primary care organisations consider the inequalities in the health of their population.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".