The organizational aspects of health care of students of institutions of higher professional education
Bibliographic record
Abstract
In recent decades, both in the Russian Federation and in the Sverdlovsk oblast decreasing of population size of adolescents and deterioration of their physical development and health status were established. In Russia, the organization of medical care of college students is insufficiently organized and requires additional improvements. The selective assessment of activities of medical offices in six colleges in Yekaterinburg was implemented. The sociological surveys were organized on the basis of the international HBSC questionnaire to study opinions of the minors about organization of medical care in colleges (653 students interviewed) and prevalence of health risk factors among students (1142 students were interviewed). In the Sverdlovsk region in 2018, only 53.6% of colleges were licensed for carrying out medical activities. According to the study, medical care in colleges was provided by medical assistant of medical office. This condition resulted in that not all the students underwent preventive examinations or underwent them not in required fullness. The medical personnel of colleges provided no analysis of health status of adolescents and health education is insufficient. The analysis of the data of sociological surveys established high prevalence of behavioral risk factors among underage students. Almost half of respondents noted the presence of harmful habits and only quarter of respondents paid attention to healthy diet. The percentage of respondents claimed that they tasted and consumed "spices" and "surfactants" was high against the background of low awareness of dangers of these habits. To amend this situation, it is necessary to organize auditing of quality of medical care of students in colleges, to analyze quality of preventive examinations, to develop a set of preventive measures of promoting health of students of colleges, based on their motivation and psychological characteristics, involving students themselves in the process, applying interactive forms.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".