Study of Psychological Satisfaction of Population with Services of the Primary Health Care Integrated into Public Health
Bibliographic record
Abstract
The article aims to examine public opinion to achieve a synergistic effect and thereby integrate primary patient feedback in the organization of the promotion of primary care and public health. The leading method to the study of this problem is the questionnaire survey that has afforded revealing issues of regulation of primary and public health care, and in particular, the state of the psychological attitude of patients to primary health care integrated into the public health system of the Republic of Kazakhstan. In order to study the organization of the Primary Health Care System integrated into Public Health Service, 400 healthcare workers were questioned. The authors also analyzed socio-psychological factors that affect the quality of the provision of qualified primary health care. The practical novelty of the study is that the organization of the synergic system of primary health care and public health is implemented based on the public administration system and local systems of public health evaluation. It was concluded that it is more expedient to build a system of integration of primary health care and public health based on feedback from the people and a formation of a spatially distributed network of public medical organizations, which will reduce the burden on, particularly busy areas.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".