A new primary health-care system in the Syrian opposition territories: Good effort but far from being perfect
Bibliographic record
Abstract
OBJECTIVES: The primary health-care system in Syria has suffered a great deal of damage over the past 6 years. A large number of physicians and health-care providers have left the country. The objectives of this study are to describe our experience in establishing a primary health-care system in the opposition territories (OTs) in Syria and report the most common treated diseases. METHODS: The administrative databases of ten primary care centers in the OT from January 2014 to December 2015 were reviewed. All patients' encounters, including children and adults, in these centers were included in the study. RESULTS: Within the study period, the ten centers served 46,039 patients encounter per month (and average of 4600 patients encounters per center per month). A high number of communicable diseases were noted. Cutaneous leishmaniasis was the most common communicable disease (1170 cases a month). Tuberculosis was treated in 14 patients a month. Other infectious diseases that were almost eradicated before the crises were seen increasingly (29 mumps cases/month, 6 measles cases/month, and 34 cases of typhoid fever/month). CONCLUSION: The primary health-care system in Syria has been greatly damaged, and tremendous efforts are ongoing to provide access to various basic health-care services including primary care services. Despite these efforts, the current system is very vulnerable and not sustainable. This study summarizes basic health services provided by primary health-care centers in Syrian OTs.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".