The impact of medical informatics on the confidence of rural physicians caring for patients with chronic hepatitis C viral infections
Bibliographic record
Abstract
OBJECTIVE: The purpose of the present study was to determine whether CD-based medical informatics enhances rural physicians' confidence in the management of patients with chronic hepatitis C viral infections. METHODS: A total of 385 Canadian rural physicians were mailed a CD-based medical software programme that outlines all aspects of HCV care including diagnosis, counselling, treatment and follow-up. Accompanying the CD was a brief questionnaire that addressed physicians' confidence in the following areas: (i) identifying HCV patients in their practice; (ii) laboratory use and interpretation; (iii) patient counselling; (iv) selection of candidates for treatment; (v) sharing treatment delivery; and (vi) providing follow-up. Three months thereafter, the same questionnaire was repeated. RESULTS: Of the 385 mailings, 59 (15%) physicians returned the initial questionnaire and 57 (15%) the follow-up questionnaire. Twenty-five (44%) respondents indicated they had used the CD. Baseline physician confidence was low in three of the six areas addressed. At follow-up, in addition to now being confident in all areas, CD users were significantly more confident than those who had not used the CD. Increases in physician confidence for CD users were approximately 150-300% in the six areas addressed. The value assigned the CD programme was 8/10. CONCLUSION: The results of this study indicate that: (i) rural physicians are uncomfortable in dealing with many aspects of HCV management; (ii) CD-ROM-based medical informatics can significantly enhance rural physicians' confidence in these areas; (iii) approximately 50% of physicians will employ CD-ROM-based medical informatics in their offices; and (iv) physician level of satisfaction with such programmes is high.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".