MétaCan
Menu
Back to cohort
Record W4283763546 · doi:10.3399/bjgp22x720149

Primary care in Ukraine: an international fellowship perspective

2022· article· en· W4283763546 on OpenAlex
Orest Mulka, Philip Evans

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBritish Journal of General Practice · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Issues in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsPrimary careMedicinePerspective (graphical)Primary health careData scienceMedical educationFamily medicineComputer scienceEnvironmental healthArtificial intelligence

Abstract

fetched live from OpenAlex

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

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.922
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.022
GPT teacher head0.269
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it