Prevalence of Surgical site Infection among Adult Patients at a Rural District Hospital in Southern Province, Rwanda
Bibliographic record
Abstract
Background: Globally, postoperative surgical site infection (SSI) is among the top causes of morbidity and mortality in patients undergoing surgery. Objectives: This study aimed to determine the prevalence of SSI among adult patients that underwent surgery at a hospital in the Southern Province, Rwanda. Method: The study design was cross-sectional and used structured questionnaires, interviews and reviewed patients' file records. Data were collected on 122 participants selected using the convenient sampling strategy. Statistical Package for Social Sciences version 2020 was used to analyze the data. Results: Most (86.1%) of the participants were females, the majority (48.4%) were aged 28-37 years. The prevalence of SSI was 8.2%, and most (90%) of the infected patients had undergone Caesarean section. Being HIV positive increased the risk for developing SSI. (X2: 9.604, df:1, CI: 1.7053; 19.8652; p value=0.014). Conclusion: The prevalence of SSI was 8.2%. Therefore, there is a need for enhancing preventive measures, early detection and treatment that will reduce the comorbidities of infected patients. HIV patients would need further attention.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 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".