The role of family adaptation in the transition to adulthood for youth with medical complexity: a qualitative case study protocol
Bibliographic record
Abstract
Abstract Background For youth with medical complexity and their families, the transition to adulthood is a stressful and disruptive period that is further complicated by the transfer from relatively integrated and familiar pediatric services to more fragmented and unfamiliar adult services. Previous studies report that families feel abandoned, overwhelmed, and unsupported during transition. In order to provide better support to families, we need to understand how families currently manage transition, what supports they need most, and how key factors influence their experiences. The aim of this study is to understand how families of youth with medical complexity adapt to the youth’s transition to adulthood and transfer to adult health care, social, and education services, and to explain how contextual factors interact to influence this process. Methods Informed by the Life Course Health Development framework, this study will use a qualitative explanatory case study design. The sample will include 10–15 families (1–3 participants per family) of youth with medical complexity (aged 16–30 years) who have lived experience with the youth’s transition to adulthood and transfer to adult services. Data sources will include semi-structured interviews and resources participants identified as supporting the youth’s transition. Reflexive thematic analysis will be used to analyze interview data; directed content analysis will be used for documentary evidence. Discussion While previous studies report that families experience significant challenges and emotional toll during transition, it is not known how they adapt to these challenges. Through this study, we will identify what is currently working for families, what they continue to struggle with, and what their most urgent needs are in relation to transition. The anticipated findings will inform both practice solutions and policy changes to address the needs of these families during transition. This study will contribute to the evidence base needed to develop novel solutions and advance policies that will meaningfully support successful transitions for families of youth with medical complexity.
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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 | 0.006 | 0.001 |
| 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 | 0.001 |
| 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".