Genetic counselors’ attitudes toward and practice related to psychiatric genetic counseling
Bibliographic record
Abstract
Despite the high demand for psychiatric genetic counseling among people with psychiatric conditions (>90%), surveys show that genetic counselors rarely receive primary referrals for psychiatric cases. The purpose of this study was to further investigate potential barriers to the provision of psychiatric genetic counseling services, focusing specifically on the prevalence and impact of psychiatric stigmatization among genetic counselors. Board-certified, practicing genetic counselors were invited to participate in an anonymous survey via the National Society of Genetic Counselors. Survey measures included a validated psychiatric stigmatization scale (OMS-HC) and questions assaying genetic counselors' experiences with and opinions of psychiatric genetic counseling. Associations between psychiatric stigmatization and attitudes toward and practice related to psychiatric genetic counseling were computed using Pearson's correlation. The majority of respondents believed that psychiatric genetic counseling is of value to families (94%) and that it is indicated if there is a relevant personal or family history (90.3%), but only 44.6% reported providing this service. On average, respondents scored neutrally on psychiatric stigma scales; however, higher stigma levels were associated with less frequent psychiatric discussions (p = .05), less counselor comfort and perceived qualification (p = .003) and perceptions of having insufficient psychiatric genetic data (p < .02), resources (p < .02) and time (p < .03). This study suggests that the limits of psychiatric genetics research and unavailability of genetic testing lead many genetic counselors to doubt the utility of psychiatric genetic counseling. Should this mindset persist, without the intervention of psychiatric education and training, the field of genetic counseling risks continuing to inadequately serve a historically underserved population.
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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 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".