A Systematic Review of Internet-based Self-Management Interventions for Youth with Health Conditions
Bibliographic record
Abstract
OBJECTIVE: Critically appraise research evidence on effectiveness of internet self-management interventions on health outcomes in youth with health conditions. METHODS: Published studies of internet interventions in youth with health conditions were evaluated. Electronic searches were conducted in EBM Reviews-Cochrane Central Register of Controlled Trials, Medline, EMBASE, CINAHL and PsychINFO. Two reviewers independently selected articles for review and assessed methodological quality. Of 29 published articles on internet interventions; only nine met the inclusion criteria and were included in analysis. RESULTS: While outcomes varied greatly between studies, symptoms improved in internet interventions compared to control conditions in seven of nine studies. There was conflicting evidence regarding disease-specific knowledge and quality of life, and evidence was limited regarding decreases in health care utilization. CONCLUSIONS: There are the beginnings of an evidence base that self-management interventions delivered via the internet improve selected outcomes in certain childhood illnesses.
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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 | 0.012 | 0.049 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.005 |
| Bibliometrics | 0.011 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 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".