Psychiatrists' Percepitions of and Reactions to a Simulated Psychiatric Genetic Counseling Session
Bibliographic record
Abstract
Psychiatric genetic counseling (pGC) is a small specialty within genetic counseling which aims to help people with psychiatric illnesses and their families by addressing misconceptions, promoting help-seeking behaviors and improving a patients’ perceived sense of control over their illness. Genetic testing is offered among most other specialities of genetic counseling, but it is not yet clinically available to diagnose or recognize predispositions to psychiatric conditions. Little research has evaluated psychiatrists practice of discussing genetics with patients and their understanding of pGC. After viewing a recorded pGC simulated session, 12 psychiatrists who practice in Ontario, Canada were interviewed for this study. Interpretive description was used as an inductive approach to data analysis which allowed for the creation of two theoretical models. The first model described the decision-making pathway psychiatrists follow when determining when to talk about genetics and referral practices. Within this model, three scalable concepts were determined to be crucial influencers in how psychiatrists discuss genetics with patients. These include psychiatrists’ perceived value of discussing genetics and their understanding, available time and awareness of the genetic counseling profession. Before watching the video, psychiatrists did not recognize the psychosocial skillset of genetic counselors and further advocacy for the profession is needed to facilitate the growth of pGC. Barriers to referral to genetic counseling were identified to be lack of access, perceived patient vulnerability and perceived patient disinterest. Facilitators of referral were identified to be trust, available funding and outcome data. An additional theoretical model described future directions for pGC within Ontario, as proposed by psychiatrists. Psychiatrists identified genetic counselors focusing on psychiatry to have utility in primary care, public health interventions and specialty psychiatric centers. Increased awareness of the profession and the skillset that genetic counselors bring is essential to future growth of the profession. This study identifies future directions for growing pGC within the Ontario healthcare context.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.018 |
| 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 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.002 |
| 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".