What small rural emergency departments do: A systematic review of observational studies
Bibliographic record
Abstract
OBJECTIVE: Small rural emergency facilities are an important part of emergency care in many countries. We performed a systematic review of observational studies to determine what is known about the patients these small rural emergency facilities treat, what types of interventions they undertake and how well they perform. METHODS: Pubmed/Medline and Embase databases were systematically reviewed between 1980 and the present. Studies were included if they described hospital-affiliated emergency care facilities which were open 24-hours every day, and described themselves as rural, non-urban or non-metropolitan. Studies were excluded if facilities saw more than 15,000 patients annually. Study quality was assessed using 12 previously described indicators. Key activity and performance data were reported for individual studies but not numerically combined between studies. RESULTS: The search strategy found 19 studies that included quantitative data on activity and performance. Nine studies were from Canada, six were from Australia and four from the United States. The settings and scales used varied widely. Few studies adhered to methodological recommendations. The most common presentation was for injury or poisoning (30-53%). The number of patients requiring attention within 15 min was small (2.5-2.8%). Nurses treated many patients without physician input. CONCLUSIONS: There is only enough evidence in the literature to make the most basic inferences about what small rural emergency departments do. To allow evidence-based improvement, descriptive studies must employ measures and methods validated in the wider emergency medicine literature, and other research techniques should be considered.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.008 | 0.002 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".