An Assessment of Genetic Counseling Services for Individuals with Multiple Sclerosis
Bibliographic record
Abstract
Multiple sclerosis (MS) affects up to 1/500 Canadians. The University of British Columbia MS Clinic (UBC Clinic) is the only MS clinic in Canada (and likely internationally) that routinely offers genetic counseling to patients and their families. A typical session includes the collection of family history and demographic data, discussion of the inheritance of MS, interpretation of family-specific recurrence risks and psychosocial counseling. The aims of this study were to explore patients': 1) expectations of the genetic counseling session; 2) understanding of the etiology of MS (both pre and post-session); and 3) post-session perceptions of genetic counseling. A two-part questionnaire to assess genetic counseling services was distributed before and after sessions to all consenting patients seen during the period October 1, 2008 to February 28, 2009 inclusive. Sixty-two completed questionnaires were analysed. Genetic counseling was found to significantly increase the number of individuals who were able to correctly identify the etiology of MS (p < 0.001). Patient satisfaction with genetic counseling was high, with an average satisfaction score of 32.4/35 (92.6 %). Of those who provided comments (n = 42/60) regarding the usefulness of the genetic counseling session, 95.2 % reported it useful (n = 40/42). Findings suggest that genetic counseling is effective in increasing patients' knowledge of the etiology of MS and is viewed by patients as a useful service. Based on the high level of positive feedback regarding genetic counseling by the study sample, this study suggests that the services provided by genetic counselors may be beneficial for patients with MS seen in other centers.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".