Study on the development strategy and tactics of the family doctors system in Shanghai city based on the community health management
Bibliographic record
Abstract
Objective: To further understand the cognition and vision of resident in Shanghai for family medical system, to deeply analyze the factors and status of family medical system and bring up the policy suggestion for Shanghai medicine reform. Method: With random sampling and whole sampling and layering sampling, 2082 samples (86.75%) were taken from Xu Hui, Min Hang and Jin Shan districts. Results: 1) The situation of community first diagnosis in Shanghai residents was that 65.40% outpatients chose the community hospital and 20.8% the third class hospital, 57.4% inpatients chose the community hospital as their first diagnosis and 27.8% the third class hospital. 2) Analysis of the factors of community first diagnosis in Shanghai residents: the reasons for choosing community hospital as fist diagnosis were cheaper price and traffic convenience for outpatients, and cheaper price and better service attitude for inpatients. 3) The residents have higher need in health management and family care . 4) The residents have poor cognition to family medical system in Shanghai. Conclusion: The situation of the development of family medical system in Shanghai is better. It is important to establish policy and guarantee the realization of family doctor system in Shanghai. Community health management is also an urgent matter of the moment。
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.
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 | 0.017 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.006 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".