When physicians forego the doctor–patient relationship, should they elect to self-prescribe or curbside? An empirical and ethical analysis
Bibliographic record
Abstract
BACKGROUND: The American Medical Association, the British Medical Association and the Canadian Medical Association have guidelines that specifically discourage physicians from self-prescribing or prescribing to family members, but only the BMA addresses informal prescription requests between colleagues. OBJECTIVE: To examine the practices of paediatric providers regarding self-prescribing, curbsiding colleagues, and prescribing and refusing to prescribe to friends and family. METHODS: 1086 paediatricians listed from the American Academy of Paediatrics 2007 web-based directory were surveyed. RESULTS: 44% (430/982) of eligible survey respondents returned usable surveys. Almost half (198/407) of respondents had prescribed for themselves. An equal number (198/411) had informally requested a prescription from a colleague. Three-quarters (325/429) stated they had been asked to prescribe a prescription drug for a first-degree or second-degree relative, and 51% (186/363) had been asked by their spouse. Eighty-six per cent (343/397) stated that they had refused to write a prescription on at least one occasion for a friend or family member. The following reasons "strongly influenced" their decision to refuse a prescription request: (1) outside of provider's expertise (88%); (2) patient's need for his or her own physician (70%); (3) not medically indicated (69%); (4) need for a physical examination (65%). CONCLUSION: These data confirm that most physicians have engaged in self-prescribing or curbside requests for prescriptions. It can be argued that curbsiding is more morally problematic than self-prescribing because it implicates a third party, and should be discouraged regardless of whether the requester is a colleague, family member or friend.
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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 | 0.013 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.004 | 0.030 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".