A Systematic Review of Studies Evaluating Diffusion and Dissemination of Selected Cancer Control Interventions.
Bibliographic record
Abstract
With this review, the authors sought to determine what strategies have been evaluated (including the outcomes assessed) to disseminate cancer control interventions that promote the uptake of behavior change. Five topic areas along the cancer care continuum (smoking cessation, healthy diet, mammography, cervical cancer screening, and control of cancer pain) were selected to be representative. A systematic review was conducted of primary studies evaluating dissemination of a cancer control intervention. Thirty-one studies were identified that evaluated dissemination strategies in the 5 topic areas. No strong evidence currently exists to recommend any one dissemination strategy as effective in promoting the uptake of cancer control interventions. The authors conclude that there is a strong need for more research into dissemination of cancer control interventions. Future research should consider methodological issues such as the most appropriate study design and outcomes to be evaluated.
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 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 | 0.025 | 0.122 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.010 | 0.007 |
| Bibliometrics | 0.019 | 0.021 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".