“They go hand in hand”: a patient-oriented, qualitative descriptive study on the interconnectedness between chronic health and mental health conditions in transition-age youth
Bibliographic record
Abstract
Abstract Background Transition-age youth (TAY) with chronic health conditions frequently experience co-occurring mental health conditions. However, little is known about the perspectives of TAY with co-occurring diagnoses preparing to exit pediatric health and mental health services. Research is needed to understand the impact of a mental health condition on transition readiness and self-management in TAY with chronic health conditions. Methods TAY (aged 16–20 years) with co-occurring chronic health and mental health conditions were recruited in Alberta, Canada. Nine semi-structured individual interviews were completed by phone or videoconference, and transcribed verbatim. Guided by qualitative description, we analyzed the data using thematic analysis in partnership with five young adults with lived experience in the health/mental health systems. Results Participants shared their experiences living with simultaneous physical and mental health concerns and preparing for transition to adult care. Our analysis revealed three overarching themes: 1) “they’re intertwined”: connections between chronic health and mental health conditions in TAY, 2) impact of mental health on transition readiness and self-management, and 3) recommendations for service provision from the perspectives of TAY. Conclusions Our findings highlighted the myriad ways in which physical and mental health are connected as TAY prepare for service transitions using specific examples and powerful metaphors. TAY endorsed the importance of providers discussing these connections in routine clinical care. Future research should involve co-designing and evaluating educational material addressing this topic with diverse TAY, caregivers, and service providers.
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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 | 0.010 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".