Practice size and quality attainment under the new GMS contract: a cross-sectional analysis.
Bibliographic record
Abstract
BACKGROUND: The Quality and Outcomes Framework (QOF) of the new General Medical Services contract, for the first time, incentivises certain areas of general practice workload over others. The ability of practices to deliver high quality care may be related to the size of the practice itself. AIM: To explore the relationship between practice size and points attained in the QOF. DESIGN OF STUDY: Cross-sectional analyses of routinely available data. SETTING: Urban general practice in mainland Scotland. METHOD: QOF points and disease prevalence were obtained for all urban general practices in Scotland (n = 638) and linked to data on the practice, GP and patient population. The relationship between QOF point attainment, disease prevalence and practice size was examined using univariate statistical analyses. RESULTS: Smaller practices were more likely to be located in areas of socioeconomic deprivation; had patients with poorer health; and were less likely to participate in voluntary practice-based quality schemes. Overall, smaller practices received fewer QOF points compared to larger practices (P = 0.003), due to lower point attainment in the organisational domain (P = 0.002). There were no differences across practice size in the other domains of the QOF, including clinical care. Smaller practices reported higher levels of chronic obstructive pulmonary disease (COPD) and mental health conditions and lower levels of asthma, epilepsy and hypothyroidism. There was no difference in the reported prevalence of hypertension or coronary heart disease (CHD) across practices, in contrast to CHD mortality for patients aged under 70 years, where the mortality rate was 40% greater for single-handed practices compared with large practices. CONCLUSIONS: Although smaller practices obtained fewer points than larger practices under the QOF, this was due to lower scores in the organisational domain of the contract rather than to lower scores for clinical care. Single-handed practices, in common with larger practices serving more deprived populations, reported lower than expected CHD prevalence in their practice populations. Our results suggest that smaller practices continue to provide clinical care of comparable quality to larger practices but that they may need increased resources or support, particularly in the organisational domain, to address unmet need or more demanding QOF criteria.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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".