Protocol for a systematic review of self-management interventions for older adults living with cancer
Bibliographic record
Abstract
BACKGROUND: Cancer predominates in adults over age 65. Cancer treatments are known to create physical and psychosocial challenges, which may be amplified for older adults with cancer. Learning and applying self-management behaviours and skills during treatment with cancer can help to manage/recover health and improve quality of life. In many other chronic illnesses, self-management interventions are known to improve health outcomes and lower healthcare costs. The purpose of this systematic review is to determine the effectiveness of self-management interventions for older adults with cancer on physical, psychosocial, and health system-related outcomes. METHODS: We are conducting a systematic review of self-management interventions for older adults (65+) diagnosed with cancer (solid tumour or haematological) in the active treatment phase of cancer. This systematic review is guided by the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) statement. Studies are limited to experimental or quasi-experimental methods published in English, French, German, or Dutch. A search strategy was designed with a Health Sciences librarian and performed using the following electronic databases: Ageline, AMED, ASSIA, Cinahl, Cochrane, Embase, Medline, PsychINFO, and Sociological Abstracts. Approximately 14,000 titles and abstracts are being electronically screened by a minimum of 2 reviewers, with relevant studies to be screened for full text. The final sample of included studies will be assessed for quality using the Cochrane Risk of Bias tool and Down and Black for quasi-experimental studies, with data synthesized in a narrative and tabular format. DISCUSSION: This systematic review will expand the knowledge base of interventions supporting self-management for older adults with cancer. This study will inform future intervention development by identifying gaps and strengths in effective self-management interventions targeting the needs of older adults receiving active treatment for cancer. SYSTEMATIC REVIEW REGISTRATION: PROPERO registry ID# CRD42019134113.
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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 | 0.095 | 0.128 |
| Meta-epidemiology (narrow) | 0.008 | 0.008 |
| Meta-epidemiology (broad) | 0.023 | 0.022 |
| Bibliometrics | 0.017 | 0.018 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.007 | 0.007 |
| Research integrity | 0.011 | 0.013 |
| Insufficient payload (model declined to judge) | 0.125 | 0.019 |
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".