Genetic counselors' response types to prenatal patient deferring or attributing religious/spiritual statements: An exploratory study of <scp>US</scp> genetic counselors
Bibliographic record
Abstract
Research shows religiosity and spirituality (R/S) influence genetic counseling patients' and families' risk perception, decision-making, and coping. No published studies have examined how genetic counselors respond to patient-initiated R/S statements. This exploratory study examined genetic counselors' response types and reasons for their responses to two prenatal patient's R/S statements. Genetic counselors (n = 225) recruited through a National Society of Genetic Counselors eblast completed a survey containing two hypothetical scenarios regarding a prenatal patient's receipt of a trisomy 18 diagnosis. Scenarios were identical except for the last patient statement: "God makes everything possible…we leave things in his hands" (a deferring statement) or "I feel like God is punishing me for something I did" (an attributing statement). Imagining they were the counselor, participants wrote a response to each scenario and provided reasons for their response. Responses were analyzed using the Helping Skills Verbal Response System. MANOVA and chi-square tests, examining differences in response type based on patient statement (deferring or attributing), participant comfort with R/S, and years of experience, yielded a significant multivariate effect for scenario (p < 0.001). Responses to the deferring statement scenario contained a greater proportion of content statements (p < 0.001), closed questions (p < 0.001), and information-giving (p < 0.001). Responses to the attributing statement scenario contained a greater proportion of open questions (p = 0.05), influencing statements (p < 0.001), and affective statements (p = 0.006). Neither comfort with R/S nor genetic counseling experience significantly affected response type. Thematic analysis of reasons for responses yielded nine themes. Most prevalent were exploration (of the patient's statement), validation, correction (of patient's beliefs), and reassurance. The findings reflect stylistic differences in how and why genetic counselors respond to patients.
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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 | 0.005 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".