Relationship between Outpatients’ Visit Time and Physicians’ Prescription Quality in Teaching Hospitals of Ahvaz: 2015
Bibliographic record
Abstract
BACKGROUND: Examination time is a key factor determining the relative value of clinical physicians’ examination and care quality. Whereas commitment to standard prescription principles by physicians increases the likelihood of proper treatment, its effectiveness and patients’ improvement. This study aimed to determine the relationship between outpatients’ examination time and physicians prescribing quality in teaching hospitals of Ahvaz. METHODS: This cross-sectional study was conducted in 550 outpatients who visited teaching hospitals of Ahvaz in 2015. The quality of the prescriptions was assessed by WHO checklist. Each prescription was scored with a score range from 0 to 21, they were divided into four equal score categories including low (0–5.25), low intermediate (5.26–10.5), high intermediate (10.5–15.75) and good (15.76–21) and using correlation and regression was analyzed. RESULTS: The total mean of examination time and commitment to prescription principles was 4.88±0.12 min and 15.92±1.14, respectively. Correlation coefficients between outpatients’ examination time and dimensions of “legibility”, “pharmaceutical form” and “medical orders”, and the total quality of prescription were significant (p˂0.005). The relationship between examination time and prescription quality confirmed with the fitting linear regression model. Increase per minute in patient’s examination by a physician, which is about 0.33 points, was added to the basic quality scores of prescription. CONCLUSION: There was a relationship between Examination time and dimensions of legibility, pharmaceutical form, and medical order. Considering commitment to standard prescription principles, examination time, which was declared by the Health Sector Evolution Guideline, improve physicians’ prescription quality and quality of provided services of hospitals. Therefore, providing an internet schedule for examination will be extremely helpful in organizing physicians’ examination.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".