Primary care interventions to improve transition of youth with chronic health conditions from paediatric to adult healthcare: a systematic review
Bibliographic record
Abstract
OBJECTIVE: To determine effective interventions to improve primary care provider involvement in transitioning youth with chronic conditions from paediatric to adult care. DESIGN: Systematic review. Multiple electronic databases were searched including Ovid MEDLINE, EMBASE and Web of Science (from 1 January 1947 to 5 August 2015). Evidence quality was assessed using a 36-point scoring system for disparate study designs. SETTING: Studies with paediatric-to-adult transition programmes and interventions involving primary care providers or in primary care settings. PARTICIPANTS: Youth aged 16 years and over. OUTCOMES: Relevant outcomes were grouped into 3 main domains based on the Triple Aim Framework: experience of care, population health, cost. RESULTS: A total of 1888 unique citations were identified, yielding 3 studies for inclusion. Overall, primary care provider roles were not well defined. 2 studies used case managers to facilitate referrals to primary care, and the remaining study was the only 1 situated in a primary care setting. None of the studies examined transition in all 3 Triple Aim Framework domains. The most commonly reported outcomes were in the cost domain. CONCLUSIONS: There is limited empiric evidence to guide primary care interventions to improve transition outcomes for youth with chronic conditions. Future research and policy should focus on developing and evaluating coordinated transition interventions to better integrate primary care for high need populations.
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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 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".