The Pediatric AIDS Corps: A 5-Year Evaluation
Bibliographic record
Abstract
BACKGROUND: The Baylor College of Medicine International Pediatric AIDS Initiative at Texas Children's Hospital created a global health corps named the Pediatric AIDS Corps (PAC) in June 2005. This report provides descriptive details and outputs for PAC over its first 5 years. METHODS: Demographic data were gathered about PAC physicians employed from July 2006 to June 2011. A 21-question survey was used to query PAC physicians about their experiences in the program. Data concerning clinical experiences and educational programs also were reviewed. RESULTS: A total of 128 physicians were employed with PAC. The median duration served was 22.7 months. Eighty-seven percent indicated that experience affected their future career choice, with half continuing to work with children and families living in resource-limited areas after they left PAC. Patient care was identified as the most rewarding part of their work (73%), whereas deaths (27%) were the most difficult. Baylor College of Medicine International Pediatric AIDS Initiative enrollment of HIV-infected children and adolescents into care and treatment increased from 6107 to 103 731 with the addition of PAC physicians. Approximately 500 local health care professionals per quarter benefited from HIV clinical attachments that were not available before PAC arrival. PAC physicians visited outreach sites providing in-depth HIV mentoring of local health care professionals, leading to 37% of the sites becoming self-sufficient. CONCLUSIONS: The positive evaluation by the PAC and the scale-up of clinical and educational programs support the recent calls for the development of a national global health corps program.
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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 | 0.013 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".