Entrustment decision‐making in genetic counseling supervision: Exploring supervisor and student perspectives to enhance training practices
Bibliographic record
Abstract
Entrustment decisions are an essential part of genetic counseling supervision and have the potential to influence a student's progression toward autonomy. However, there is often uncertainty among supervisors regarding how and when to make these decisions and very few studies have examined the impact of these decisions on students. This study utilized a mixed methods approach including surveys of genetic counseling supervisors (n = 76) and students (n = 86) as well as qualitative interviews with genetic counseling supervisors (n = 20) and students (n = 20) that explored factors that influence the entrustment decisions of genetic counseling supervisors and their effect on genetic counseling students. Genetic counseling supervisors and students were recruited from various organizations across the United States and Canada and represented a range of geographic regions, hospital systems, and genetic counseling programs. A hybrid process of deductive and inductive coding and thematic analysis was used to evaluate and interpret transcripts from the supervisor and student interviews. All participants identified advantages of increased autonomy during training. However, many supervisors reported low entrustment, seldom allowing students to complete unsupervised sessions or supervised cases without interruption. Entrustment decisions were heavily influenced by student ability and confidence, as well as patient feedback. Students emphasized the negative impact of decreased entrustment on their confidence and described clear benefits to increased autonomy before, during, and after the genetic counseling appointment. Supervisors identified various barriers to entrustment pertaining to the student, clinical setting, and the patient, whereas students more often emphasized barriers pertaining to themselves. Our results highlight a tension between the clear advantages of increased entrustment and autonomy and various barriers to the provision of these opportunities. Additionally, our data suggest several ways to enhance the supervisor-student relationship and promote additional learning opportunities to support student-centered supervision.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".