Health risk appraisal for older people 4: case finding for hypertension, hyperlipidaemia and diabetes mellitus in older people in English general practice before the introduction of the Quality and Outcomes Framework
Bibliographic record
Abstract
BACKGROUND: Early intervention can help to reduce the burden of disability in the older population, but many do not access preventive care. There is uncertainty over what factors influence case finding in older patients in general practice. AIM: To explore factors associated with case finding for hypertension, hyperlipidaemia and diabetes mellitus in older patients. METHOD: Two thousand four hundred and ninety-one patients aged 65 years and above were recruited from three large practices in suburban London before the introduction of the Quality and Outcomes Framework (QOF) completed a questionnaire on health, functional status, health behaviours and preventive care. FINDINGS: Those not reporting heart disease, diabetes or hypertension were included in a secondary data analysis to explore factors influencing uptake of preventive care measures. Approximately one-third denied having had a blood pressure check in the previous year. They were more likely to have had little contact with doctors and to have an unhealthy lifestyle (smoking and a high-fat diet). One-third reported a cholesterol test in the previous five years. Cholesterol measurement was reported more often by men and those with a high body mass index. Those with unhealthy lifestyles (smoking and high-fat diet), those who had only received the state pension and those who limited their activities because of a fear of falling were less likely to report cholesterol measurement. About 10% reported a fasting blood glucose measurement and were more likely to consult more often and have more medications, but they were less likely to have a high-fat diet. Preventive care uptake was associated with frequent contacts with doctors, but overall the uptake of preventive care was low. Older people with healthier lifestyles were more likely to have primary preventative care interventions. These findings provide a baseline against which the effect of the QOF on the care of older people can be measured in future studies.
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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 | 0.023 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".