Self-management for youth and young adults with special health needs: protocol for a scoping review of health care transition planning literature
Bibliographic record
Abstract
OBJECTIVE: The purpose of this scoping review is to explore the extent to which self-management of youth and young adults with special health care needs is reported in the health care transition literature. INTRODUCTION: It is essential for youth and young adults with special health care needs to learn the self-management skills, to the extent possible, that are essential in maintaining the stability of their chronic condition to seamlessly transfer to adult care and live independently. Acquisition of self-management competencies for chronic care management is an essential component of health care transition preparation. INCLUSION CRITERIA: The inclusion criteria will be based upon age and condition designation. The age range of participants will include youth and young adults, aged nine to 35 years, who have special health care needs. Inclusion criteria consists of both non-categorical and diagnostic specific terminology for youth and young adults with a childhood acquired chronic condition. Non-categorical terms used include "long-term chronic condition," "special health care needs," "medical complex condition," "complex care needs," "developmental disability," "intellectual disability," "mental health condition," "emotional disabilities," "physical disabilities," "chronic illness," and "chronic condition." METHODS: The following databases will be accessed for this health care transition scoping review: CINAHL, Cochrane CENTRAL, Embase, Ovid MEDLINE, PsycINFO, and Web of Science. Relevant gray literature will be accessed as well. The Covidence software platform will be used to review citations and full-text articles. Two reviewers will independently review abstracts and full texts of studies, and extract data using the data extraction tool. Any conflicts will be resolved with a third reviewer. Review findings will be presented in tabular format and narrative synthesis based upon the scoping review objective.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".