Reflections of parents of children with 22q11.2 Deletion Syndrome on the experience of receiving psychiatric genetic counseling: ‘Awareness to Act’
Bibliographic record
Abstract
Individuals with 22q11.2 deletion syndrome (22qDS) have a 25%-41% risk for a psychotic disorder. Although early intervention for psychiatric conditions leads to the best long-term outcomes, healthcare providers often provide inadequate information about these issues and psychiatric services are underused by this population. We conducted semi-structured interviews with parents of children with 22qDS a month after they received psychiatric genetic counseling (pGC), to evaluate outcomes and perceived value of pGC with respect to parents' needs. Using grounded theory, we generated a theoretical framework of the process of building parental awareness of psychiatric risks associated with 22qDS and protective and management strategies for mental health (MH). Parents described how after their child's diagnosis with 22qDS, a variety of barriers stalled their building awareness of psychiatric risk and protective/management strategies: dealing with the immediate symptoms of 22qDS; child's young age; parental fear and stigma; and missing MH guidance. These barriers led them to carry the burden of worrying over missing emerging psychiatric symptoms and the stress over advocating for their child's MH. Parents indicated pGC was beneficial in that led them to achieve an 'awareness to act,' feeling confident in being alert and equipped to protect and/or manage their child's MH.
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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 | 0.006 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| 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".