Health Information Preference among Youth and Caregivers related to Second-Generation Antipsychotic Treatment.
Bibliographic record
Abstract
OBJECTIVE: To determine the health information-seeking preferences of youth with mental health challenges and their caregivers, focusing on health literacy needs related to second-generation antipsychotics (SGAs). METHODS: One hundred fifty two youth and 158 caregivers attending outpatient psychiatry clinics at BC Children's Hospital between February 2009 and December 2010 completed a SGA health literacy survey. RESULTS: Youth and caregivers placed emphasis on understanding the benefits and side effects of SGA-treatment, along with strategies to prevent potential side effects. While psychiatrists were viewed as a crucial source of information by both groups, pharmacists were an under-utilized resource by youth. Both youth and caregivers preferred brochures from healthcare providers, websites, and support groups to access health information; however, preferences diverged among other activities. Specifically, youth favoured practical, "hands-on" programs such as cooking and exercise classes, whereas caregivers showed greater interest in didactic presentations and conferences. Sex differences were observed in receptiveness towards certain programs and resources. CONCLUSIONS: The findings from this study support the inclusion of caregivers and youth of both sexes with mental health conditions in the future development of educational resources related to medications such as SGAs. Health literacy strategies need to be multi-faceted, and utilize mixed methods to ensure broad reach and applicability.
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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 | 0.001 | 0.005 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".