Journal ofNeurology, Neurosurgery, and Psychiatry 1989;52:430433 Lessons for neurologists from the United Kingdom Third National Morbidity Survey
Bibliographic record
Abstract
SUMMARY The Third National Morbidity Survey lists data about the primary care consultations for more than 300,000 person-years at risk. Data of interest to neurologists have been extracted from the complex tables of the Survey, many of which are on micro-fiche. Assuming that any one subject has only one neurological symptom, 9 5 % of the population will consult their general practitioner about a neurological symptom each year. The five most common groups of disorders for which advice is sought are headache/migraine, dizziness, syndromes related to the cervical or lumbar spine, faints or fits, and symptoms due to cerebrovascular disease. About 7 % of all patients seen with neurological symptoms are referred to hospital clinics for further advice. Family doctors (general practitioners) in the United Kingdom (UK) have collaborated with the Office of Population Censuses and Surveys to produce over the years three surveys of morbidity in the community."'-The Third National Morbidity Survey has recently been published, based upon data collected on over 300 000 person-years at risk. An analysis of some of the complex tables in the survey, which provide information rates about morbidity due to all diseases, may be helpful to neurologists when planning their provision of services. Methods Information was obtained at the time of consultation on the morbidity of 307 803 person years at risk in 48 general practices (143 doctors). The distribution of ages in these practices reflected closely the distribution of age and sex of the total population of the UK. The data were collected in 1981-82, but coding and computing delayed publication until 1986. The data have been published in bulky tables and in micro-fiche, from which the data relevant to neurologists have been selected. Results In one year, 65 % ofall men and 77 % of all women saw their family doctor at least once. The average number
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".