General practitioners’ views on quality markers for children in UK primary care: a qualitative study
Bibliographic record
Abstract
BACKGROUND: Children make up about 20% of the UK population and caring for them is an important part of a general practitioner's (GP's) workload. However, the UK Quality Outcomes Framework (pay-for-performance system) largely ignores children - less than 3% of the quality markers relate to them. As no previous research has investigated whether GPs would support or oppose the introduction of child-specific quality markers, we sought their views on this important question. METHODS: Qualitative interview study with 20 GPs from four primary care trusts in Thames Valley, England. Semi-structured interviews explored GPs' viewpoints on quality markers and childhood conditions that could be developed into markers in general practice. Interviews were audiotaped and transcribed verbatim. Analysis was thematic and used constant comparative method to look for anticipated and emergent themes as the analysis progressed. RESULTS: All the GPs interviewed supported the development of 'benchmarks' or 'standards' to measure and improve quality of care for children. However no consensus was expressed about the clinical conditions for which quality markers should be developed. Many participants reflected on their concerns about unmet health care needs and felt there may be opportunities to improve proactive care in 'at risk' groups. Some expressed feelings of powerlessness that important child-relevant outcomes such as emergency department visits and emergency admissions were out of their control and more directly related to public health, school and parents/carers. The importance of access was a recurrent theme; access to urgent general practice appointments for children and GP access to specialists when needed. CONCLUSION: The GPs expressed support for the development of quality markers for the care of children in UK general practice. However, they flagged up a number of important challenges which need to be addressed if markers are to be developed that are measureable, targeted and within the direct control of primary care. Easy access to primary and secondary care appointments may be an important benchmark for commissioners of care.
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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 | 0.012 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| 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".