What Does GP Out of Hours Care Cost? an Analysis of Different Models of Out of Hours Care in Scotland
Bibliographic record
Abstract
BACKGROUND: The changes to out of hours care provided by General Practitioners have led to wide variation in the types and costs of out of hours care across the country. AIM: To examine the costs of different models of service delivery for GP out of hours organisations. METHODS: This was a prospective cross-sectional survey of eight GP out of hours organisations and samples of their patients. A deputising service, rotas, and various types of GP co-operative across Scotland were surveyed. Information on the quantities of resources used by each organisation was combined with unit costs. Costs incurred by patients and other NHS costs subsequent to the out of hours contact were also calculated. RESULTS: Annual costs incurred by the GP out of hours organisation per 1,000 population ranged from pounds sterling 2,916 to pounds sterling 12,120. There was no relationship between costs and type and size of organisation. There was a three-fold variation in total costs per out of hours contact (pounds sterling 15 to pounds sterling 51). Costs per phone contact were lowest (pounds sterling 6 to pounds sterling 11), followed by cost per centre contact (pounds sterling 10 to pounds sterling 16) and cost per home contact (pounds sterling 21 to pounds sterling 60). Total costs per episode ranged from pounds sterling 78 to pounds sterling 136 for centre contacts, from pounds sterling 130 to pounds sterling 303 for home contacts, and from pounds sterling 70 to pounds sterling 553 for telephone contacts. Home contacts had the highest average cost per episode (pounds sterling 212), followed by telephone contacts (pounds sterling 117) and centre contacts (pounds sterling 85). CONCLUSIONS: There are wide variations in the costs of operating GP out of hours services, It is likely that the context in which organisations were set up and local geography infuence variations in costs, as well as the level of GP cover.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".