Increase in emergency admissions to hospital for children aged under 15 in England, 1999-2010: national database analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To investigate a reported rise in the emergency hospital admission of children in England for conditions usually managed in the community. SETTING AND DESIGN: Population-based study of hospital admission rates for children aged under 15, based on analysis of Hospital Episode Statistics and population estimates for England, 1999-2010. MAIN OUTCOME: Trends in rates of emergency admission to hospital. RESULTS: The emergency admission rate for children aged under 15 in England has increased by 28% in the past decade, from 63 per 1000 population in 1999 to 81 per 1000 in 2010. A persistent year-on-year increase is apparent from 2003 onwards. A small decline in the rates of admissions lasting 1 day or more has been offset by a twofold increase in short-term admissions of <1 day. Considering the specific conditions where high emergency admission rates are thought to be inversely related to primary care quality, admission rates for upper respiratory tract infections rose by 22%, lower respiratory tract infections by 40%, urinary tract infections by 43% and gastroenteritis by 31%, while admission rates for chronic conditions fell by 5.6%. CONCLUSIONS: The continuing increase in very-short-term admission of children with common infections suggests a systematic failure, both in primary care (by general practice, out-of-hours care and National Health Service Direct) and in hospital (by emergency departments and paediatricians), in the assessment of children with acute illness that could be managed in the community. Solving the problem is likely to require restructuring of the way acute paediatric care is delivered.
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.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it