Delay of emergency surgical interventions in Ethiopia: Patient and health system factors
Bibliographic record
Abstract
Background: The objectives of this study were to evaluate outcomes among patients with acute abdomen and abdominal trauma who presented at either of 2 referral hospitals in Addis Ababa, Ethiopia, and to determine the factors associated with delay as well as the effects of prehospital and in-hospital delay on outcome. Methods: We conducted a 1-year prospective cross-sectional study, which included all cases of surgically treated acute abdomen and abdominal trauma admitted to St Paul General Specialized Hospital, Addis Ababa, Ethiopia and Gondar University Hospital, Gondar, Ethiopia. Standardized data collection forms were completed for all cases from 1 May 2008 to 30 April 2009. Data were analyzed using Epi Info version 6 and SPSS version 13. Results: A total of 504 patients were studied. Diagnoses were: intestinal obstruction (34.6 %), appendicitis (33 %), and perforated peptic ulcer (3.6 %). Sixty-six percent of patients over 45 years of age, 60% of females, and 61% of intestinal obstruction cases were operated on within 3 days of illness onset. The 35% of patients who were operated on more than 3 days after the development of symptoms had a mortality of 67%. Fifty-four percent of the cases with a total prehospital and in-hospital time of more than 3 days had initially visited other health institutions. Conclusions: Delay of surgical intervention of more than 3 days for acute abdomen or abdominal trauma adversely affected outcomes. Women, patients older than 45 years of age, patients with intestinal obstruction, and those who were referred from other health facilities were delayed and had adverse outcomes. Keywords: delay in surgery; acute abdomen; abdominal trauma; surgical systems improvement
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.
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 | 0.001 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".