The therapeutic space and doctor–parent relationship in paediatrics: trainees’ experiences and perspectives
Bibliographic record
Abstract
AIM: To explore paediatric trainees' experiences and perspectives regarding interactions and relationships between physicians and patients' parents. METHODS: Email survey was sent to AAP Section of Pediatric Trainees members. Trainees were asked about 40 interactions with parents as well as perceived benefits/risks and potential influences. Analysis of associations between variables and perspectives/experiences used chi-square and Fisher exact. RESULTS: Three hundred and seventy surveys were completed. Respondents participated in a median of nine interactions (IQR 7-13; range 0-37): 99.7% participated in at least one; 52% in 5-10; 41% in >10. 50% reported refusing to participate in at least one interaction following parental request; 8% refused 5-10; 1% refused >10. Electronic communication/social media domain had highest refusals and most interactions respondents believed should never be allowed. 94% agreed that interactions may be beneficial to providers: 75% identified at least one benefit; 86% one risk. Respondents who are parents or female reported increased interactions. CONCLUSION: A variety of interactions with patient's parents are common amongst paediatric trainees, who identify risks and benefits. Disagreements relative to acceptability of certain interactions points to the need for additional research. A reflective educational approach, rather than a prescriptive one, may help trainees better manage these relationships.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".