Patients with microscopic and gross hematuria: practice and referral patterns among primary care physicians in a universal health care system
Bibliographic record
Abstract
BACKGROUND: Hematuria is one of the most common findings on urinalysis in patients encountered by primary care physicians. In many instances it can also be the first presentation of a serious urological problem. As such, we sought to evaluate current practices adopted by primary care physicians in the workup and screening of hematuria. METHODS: Questionnaires were mailed to all registered primary care physicians across Quebec. Questions covered each physician's personal approach to men and postmenopausal women with painless gross hematuria or with asymptomatic microscopic hematuria, as well as screening techniques, general knowledge with regards to urine collection and sampling, and referral patterns. RESULTS: Of the surveys mailed, 599 were returned. Annual routine screening urinalysis on all adult male and female patients was performed by 47% of respondents, regardless of age or risk factors. Of all the respondents, 95% stated microscopic hematuria was associated with bladder cancer. However, in an older male with painless gross hematuria, only 64% of respondents recommended further evaluation by urology. On the other hand, in a postmenopausal woman with 2 consecutive events of significant microscopic hematuria, only 48.6% recommended referral to urology. Findings were not associated with the gender of the respondent, experience or geographic location of practice (urban vs. rural). INTERPRETATION: There seems to be reluctance amongst primary care physicians to refer patients with gross or significant microscopic hematuria to urology for further investigation. A higher level of suspicion and further education should be implemented to detect serious conditions and to offer earlier intervention when possible.
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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 | 0.000 | 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 | 0.000 | 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".