Primary care in Ukraine: an international fellowship perspective
Bibliographic record
Abstract
In the early 1990s after the fall of the Berlin Wall many Central and Eastern European countries, including Russia, sought to review the funding and organisation of health care.Given the appetite for reform, they turned to many different sources for advice; the World Health Organization, other countries in Europe, the US, and Canada.There was a particular interest in reforming primary health care.Ukraine became independent of the old Soviet Union in 1991.At that time its primary healthcare system was based on that of the USSR.Primary care practitioners worked in large polyclinics, based in cities.Their training was limited and their work very circumscribed.They were poorly paid and could be disciplined for failing to refer patients to a specialist at the same polyclinic if there had been an unfavourable outcome from the GP's management.They were not able to treat patients with paediatric or gynaecological problems and, as a whole, the system was very bureaucratic with little personal responsibility for individual patients.This encouraged a high referral rate, which reduced the risks of mistakes and minimised the workload, providing more time for second jobs.These problems had been recognised in Ukraine before independence.In Lviv, Western Ukraine, starting in 1988, progress was made by setting up training schemes for GPs/family doctors -due more to the skill and interest of forward-thinking individuals than any central organisation.In 1990, Ukraine had a low and falling life-expectancy rate (65.6 years for males) and high levels of preventable conditions such as infectious diseases -indicating an inadequate healthcare system.Between 1990 and 1993 the British/ Ukraine Medical Association developed a series of contacts with the Ukrainian Ministry of Health and individual doctors in the country.As a result, help was sought from the Royal College of General Practitioners (RCGP) to move to a system of family doctor-based care, with similarities to the UK system.It was ironic that some
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".