To Be a Clinical or Non-Clinical Genetic Counselor, That is the Question
Bibliographic record
Abstract
Many genetic counselors are leaving or considering leaving their clinical positions for non-clinical positions. This comes at a time when there is an increasing need for clinical genetic counselors. A serious concern facing the genetic counseling profession is ensuring that there will be an adequate workforce both in supply and skills needed for existing and emerging roles. The purpose of this study was to determine what types of positions genetic counselors plan to take and what impacts their decisions. Two-hundred seventy-seven current genetic counseling students and 440 individuals who recently graduated from an accredited US or Canadian genetic counseling master’s degree program between 2010 and 2015 completed our anonymous online survey. Overall, both groups consider working in clinical and non-clinical roles. Specifically, 72.6% of graduates (N=408) currently hold or previously held a clinical position, and 95.4% of students (N=263) indicated they will likely pursue a clinical position during their career. Reasons cited for considering or pursuing clinical positions included wanting to provide direct patient care, desiring the job responsibilities and characteristics and seeing a clinical position as a necessary first step to gain experience before moving to a non-clinical position. About 31% of graduates (N=411) reported that they currently work or previously worked in a non-clinical setting. In addition, 52.4% of graduates who have not yet held a non-clinical position (N=227) and 66% of students (N=265) believe they will likely work in a non-clinical setting during their career. The higher salary, flexibility, opportunities for new challenges, professional growth and respect associated with non-clinical positions were the primary reasons for considering or pursuing these roles. It is important for the genetic counseling profession to develop strategic plans to lessen the number of genetic counselors vacating clinical positions and to increase the supply of genetic counselors to meet the increasing demand for both clinical and non-clinical counselors.
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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 | 0.011 | 0.053 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.016 | 0.007 |
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".