Psychosocial care for cancer survivors: A global review of national cancer control plans
Bibliographic record
Abstract
OBJECTIVE: National Cancer Control Plans (NCCPs) are high-level policy documents that prioritise actions to be taken to improve cancer control activities. As the number of cancer survivors grows globally, there is an urgent need to assess whether and how psychosocial care across the cancer care continuum is included in NCCPs. This review aimed to ascertain the extent to which NCCPs referenced psycho-oncology care for cancer survivors in the post-treatment phase. METHODS: NCCPs were obtained from the International Cancer Control Partnership (ICCP) portal (in November 2021) and reviewed in two phases. In Phase 1, all available NCCPs were screened to determine whether they mentioned psycho-oncology or survivorship. In Phase 2, reviewers extracted data from the NCCPs identified in Phase 1 on the degree that each plan articulated objectives/goals to improve psychosocial care in the post-treatment survivorship phase. RESULTS: We screened 237 NCCPs. Of these, initial potential reference to psycho-oncology and survivorship content were identified in 97 plans (41%). In Phase 1, 57/97 (59%) had reference to psycho-oncology or survivorship content within defined criteria. In Phase 2, 27/97 (28%) had little mention of psycho-oncology specifically in survivorship, 47/97 (48%) had some (general or brief) mention, and the remaining 23/97 (24%) had substantial content/specific sections and clearly articulated goals and/or objectives. Common goals for improving psychosocial care in the post-treatment period included building capacity of healthcare professionals, implementing rehabilitation models, and increasing the utilisation of community services. CONCLUSIONS: Most NCCPs did not reference psycho-oncology and only one-quarter contained clear objectives specifically in the post-treatment survivorship phase.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".