Cancer Prevention in Adults with Intellectual Disabilities: A Systematic Literature Review of Caregiver Perspectives in Institutional and Home Care Settings
Bibliographic record
Abstract
Background: Individuals with intellectual disabilities (IDs) face unique challenges in accessing cancer prevention measures. Caregivers play a crucial role in facilitating these measures, yet their perspectives are under-researched. Methods: This systematic literature review explores caregiver perspectives on cancer prevention for adults with IDs in institutional and home care settings, aiming to understand their roles, knowledge, and challenges. Thirteen articles from the UK, the USA, Canada, and Ireland were analyzed through thematic synthesis. Four overarching themes were identified: breast cancer screening perspectives, caregivers’ knowledge and barriers to cancer prevention, caregivers’ perspectives, and cultural context and decision-making. Results: Caregivers, including healthcare professionals and family members, are essential in facilitating breast cancer screening for individuals with IDs. Challenges include explaining screening procedures, limited awareness, and logistical barriers, highlighting the need for targeted educational interventions. Disparities in access underscore the necessity for comprehensive training programs. Healthcare professionals’ perspectives reveal existing disparities and suggest interventions for improved accessibility and understanding. Cultural context influences decision-making, emphasizing the importance of culturally sensitive care. The role of family caregivers in decision-making necessitates empowering and supporting them through tailored interventions. Conclusions: This review provides insights into the challenges and opportunities in cancer prevention for individuals with IDs, suggesting the need for educational interventions, training programs, and systemic changes to address disparities. It lays the groundwork for future research and the development of holistic and inclusive strategies in this critical healthcare domain.
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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 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.013 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".