Promoting best practices for control of respiratory infections: collaboration between primary care and public health services.
Bibliographic record
Abstract
OBJECTIVE: To determine the effectiveness of a short-term intervention to promote best practices for control of respiratory infections in primary care physicians' offices. DESIGN: Before-after observational study. SETTING: Family physicians' offices in Ottawa, Ont. PARTICIPANTS: General practitioners and office staff. INTERVENTIONS: Four infection-control practices (use of masks, alcohol-based hand gel, and signs, and asking patients to sit at least 1 m apart in the waiting room) were observed, and 2 reported infection-control practices (disinfecting surfaces and use of hand-gel dispensers in examining rooms) were audited before the intervention and 6 weeks after the intervention. MAIN OUTCOME MEASURES: Percentage of patients asked to use masks and alcohol-based hand gel, number of relevant signs, and percentage of patients asked to sit at least 1 m away from other patients. Percentage of surfaces disinfected and percentage of physicians using hand-gel dispensers in examining rooms. RESULTS: Of 242 practices invited, 53 agreed to participate (22% response rate), and within those practices, 143/151 (95%) physicians participated. Signs regarding respiratory infection control measures increased from 15.4% to 81.1% following the intervention (P < .001). At least 1 patient with cough and fever was given a mask in 17% of practices before the intervention; during the observation period after the intervention, at least 1 patient was given a mask in 66.7% of practices (P < .001). Patients were instructed to use alcohol-based hand gel in 24.5% of practices before the intervention and in 79.2% of practices after it (P < .001). Instruction to sit at least 1 m from others in the waiting area was given in 39.6% of practices before the intervention and in 52.8% of practices following the intervention (P < .001). Before the intervention, the percentage of practices using all 4 audited primary prevention measures was 3.8%; after the intervention, 52.8% of practices were using them (P < .001), demonstrating a 49% increase in adoption of best practices. CONCLUSION: A multifaceted intervention by public health nurses successfully promoted best practices for control of respiratory infections in primary care offices. Collaboration between public health services and primary care can promote best practices and warrants further study and development in areas of common interest.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".