Health and Care Staff:Cost of Living Review: Staff and their Lived Experiences
Bibliographic record
Abstract
The Buckinghamshire, Oxfordshire & Berkshire West (BOB) and the Frimley Health and Care Integrated Care Systems (ICS) were formally established in 2022. The ICS comprise health and care organisations situated within the catchment area who work together to plan and deliver joined up health and care services for the local population. Figure 1.0 represents the geographical location of BOB (area 30) and Frimley (area 31) Health and Care ICS. Both sit within the South East of England NHS region and borders the North West of London. This research was therefore commissioned to investigate and provide an independent evaluation to enable the BOB and Frimley Health and Care system leads to determine actionable counters to identify and help reduce the potential stresses for staff to reduce leavers and enhance the attractiveness of working in both ICS. This paper presents stage two of the research project designed to create a robust evidence base to test the attrition assumptions and understand the economic case that may drive attrition of health and care staff within the BOB and Frimley Health and Care ICS. This complete project comprised three stages undertaken in partnership with researchers from the University of Huddersfield and Sheffield Hallam University which includes: Stage one, the Economic Analysis (Prof E Ferrari, Sheffield Hallam University), this report, which is stage two, the Lived Experiences (Prof J Garside, University of Huddersfield) and stage three, Solution Scenarios (Prof P Brown, University of Huddersfield).
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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 | 0.021 | 0.093 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.011 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".