Quality and Safety Initiatives in a Pediatric and Congenital Heart Surgery Program in a Low- and Middle-Income Country: The Impact of International Collaboration
Why this work is in the frame
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Bibliographic record
Abstract
INTRODUCTION: This study assessed the impact of a quality and safety (Q&S) improvement program on outcomes in pediatric and congenital heart surgery (PCHS) through an international non-governmental collaboration in a low-and-middle-income country (LMIC). METHODS: Surgical data from two distinct periods, PRE (January 2016 - December 2019) and POST (January 2020 - May 2024) Q&S implementation, were analyzed. Outcomes included 30-day mortality, urgency status, patient age, and procedure complexity using the Risk Adjustment for Congenital Heart Surgery (RACHS) 1 classification. RESULTS: A total of 4,297 surgeries were performed: 2,429 in the PRE and 1,868 in the POST era. Overall, 30-day mortality decreased significantly from 7.5% to 5.1% (P = 0.002), reaching 3.1% in 2024. Urgent surgeries increased from 28% to 44% (P < 0.0001), while mortality in elective and urgent cases dropped from 3.9% to 1.7% (P = 0.0007) and from 16.5% to 9.6% (P < 0.0001), respectively. A shift toward more neonatal and infant cases was observed, with significant reductions in mortality in both groups (P = 0.01). Case mix complexity also increased (RACHS categories 3-6), yet mortality declined across all RACHS strata. CONCLUSION: The introduction of Q&S initiatives led to marked improvements in PCHS outcomes, even amid growing case complexity and acuity. These findings highlight the value of structured protocols and sustained Q&S efforts and underscore the transformative role of international partnerships in strengthening surgical care in LMICs.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| 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 it