Transition from pediatric to adult follow-up care in childhood cancer survivors—a systematic review
Bibliographic record
Abstract
PURPOSE: The successful transition of childhood cancer survivors from pediatric- to adult-focused long-term follow-up care is crucial and can be a critical period. Knowledge of current transition practices, especially regarding barriers and facilitators perceived by survivors and health care professionals, is important to develop sustainable transition processes and implement them into daily clinical practice. We performed a systematic review with the aim of assessing transition practices, readiness tools, and barriers and facilitators. METHODS: We searched three databases (PubMed, Embase/Ovid, CINAHL) and included studies published between January 2000 and January 2020. We performed this review according to the PRISMA guidelines and registered the study protocol on PROSPERO; two reviewers independently extracted the content of the included studies. RESULTS: We included 26 studies: six studies described current transition practices, six assessed transition readiness tools, and 15 assessed barriers and facilitators to transition. CONCLUSION: The current literature describing transition practices is limited and overlooks adherence to follow-up care as a surrogate marker of transition success. However, the literature provides deep insight into barriers and facilitators to transition and theoretical considerations for the assessment of transition readiness. We showed that knowledge and education are key facilitators to transition that should be integrated into transition practices tailored to the individual needs of each survivor and the possibilities and limitations of each country's health care system. IMPLICATIONS FOR CANCER SURVIVORS: The current knowledge on barriers and facilitators on transition should be implemented in clinical practice to support sustainable transition processes.
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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 | 0.059 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".