Востребованность платных медицинских услуг в Тюменской области
Bibliographic record
Abstract
The article deals with the peculiarities of the Russian health care system in order to determine the level of the demand of the population for paid medical services. On the basis of the representative data for Sociological Research (the volume of the sample is 3054 people aged 18, residing on the territory of Tyumen region) the relation of the population of Tyumen region to public health services and the satisfaction with the provided services are determined, the level of demand in the emerging market of paid medical services in Tyumen region is assessed, the discriminant model, demonstrating the effect of different factors for the choice of paid and free choice of health care services, is built. The analysis revealed that in Russia as a whole and in Tyumen region in particular, there is underfunded public health system, which is characterized by the deficiency and suboptimal structure of medical personnel. Almost two-thirds of the surveyed population of Tyumen region noted the difficulty of access to a doctor, the presence of large queues. Thus, despite the low level of public satisfaction with medical care, less than a quarter of the population actively uses paid health care services according to the survey. The choice of paid or free health care is influenced by infrastructural factors and social status. In general, people prefer to be treated free of charge, referring to paid medical facilities only when necessary.
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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 | 0.011 | 0.005 |
| Meta-epidemiology (narrow) | 0.008 | 0.008 |
| Meta-epidemiology (broad) | 0.011 | 0.005 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.008 | 0.011 |
| Insufficient payload (model declined to judge) | 0.056 | 0.082 |
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; both teacher heads agree on what is shown here.
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".