A Landscape Analysis of Pediatric and Congenital Heart Disease Services in Africa
Bibliographic record
Abstract
BACKGROUND: There is geographic disparity in the provision of Pediatric and Congenital Heart Disease (PCHD) services; Africa accounts for only 1% of global cardiothoracic surgical capacity. Methods: We conducted a survey of PCHD services in Africa, to investigate institution and national-level resources for pediatric cardiology and cardiothoracic surgery. Results were compared with international guidelines for PCHD services and institutions were ranked by a composite score for low- and middle-income PCHD services. Results: There were 124 respondents from 96 institutions in 45 countries. Eighteen (40%) countries provided a full PCHD service including interventional cardiology and cardiopulmonary bypass (CPB) cardiac surgery. Ten countries (22%) provided cardiac surgery services but no interventional cardiology service, 4 of which did not have CPB facilities. One provided interventional cardiology services but no cardiac surgery service. Ten countries (22%) had no PCHD service. There were 0.04 (interquartile range [IQR]: 0.00-0.13) pediatric cardiothoracic surgeons and 0.17 (IQR: 0.02-0.35) pediatric cardiologists per million population. No institution met all criteria for level 5 PCHD national referral centers, and 8/87 (9.2%) met the criteria for level 4 regional referral centers. Thirteen (29%) countries report both pediatric cardiology and cardiothoracic surgery fellowship training programs. Conclusions: Only 18 (40%) countries provided full PCHD services. The number of pediatric cardiologists and cardiothoracic surgeons is below international recommendations. Only Libya and Mauritius have the recommended 2 pediatric cardiologists per million population, and no country meets the recommended 1.25 cardiothoracic surgeons per million. There is a significant shortage of fellowship training programs which must be addressed if PCHD capacity is to be increased.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".