Abstract B045: Addressing pediatric cancer disparities in Ghana, Sub-Saharan Africa: A call to action
Bibliographic record
Abstract
Abstract Objectives: This study aims to explore the disparities in pediatric cancer care in Ghana, Sub-Saharan Africa, identifying the underlying factors contributing to these disparities, and proposing recommendations for reducing the burden and improving outcomes for pediatric cancer patients. Methods: A mixed-methods approach was utilized, combining a comprehensive review of existing literature on pediatric cancer disparities in Ghana and Sub-Saharan Africa, qualitative interviews with healthcare professionals and stakeholders involved in pediatric oncology care, and analysis of available epidemiological data and healthcare infrastructure. Data collection spanned [insert timeframe], incorporating diverse perspectives and experiences related to pediatric cancer disparities in the region. Results: The study uncovered significant disparities in pediatric cancer care in Ghana and Sub-Saharan Africa, stemming from a multitude of factors. Limited access to early diagnosis and specialized pediatric oncology services, financial constraints, inadequate healthcare infrastructure, and cultural beliefs and stigma surrounding cancer emerged as key barriers. These disparities disproportionately affect vulnerable populations, exacerbating the burden of pediatric cancer and contributing to poorer treatment outcomes and higher mortality rates. Urgent action is needed to address these disparities and improve access to timely and quality care for pediatric cancer patients in the region. Recommendations: Based on the findings, several recommendations are proposed to address pediatric cancer disparities in Ghana and Sub-Saharan Africa. These include: (1) Strengthening pediatric oncology services through investment in infrastructure, equipment, and workforce development; (2) Enhancing early detection and diagnosis through community-based education and awareness programs, as well as training for healthcare providers; (3) Implementing financial support mechanisms, such as health insurance coverage and subsidies, to alleviate the financial burden on affected families; (4) Fostering multidisciplinary collaboration and partnerships among stakeholders to improve coordination of care and resource allocation. Conclusion: Pediatric cancer disparages in Ghana and Sub-Saharan Africa represent a significant public health challenge, characterized by barriers to access, inadequate resources, and poor outcomes for affected children and their families. Addressing these disparages requires a concerted effort from policymakers, healthcare providers, and community stakeholders to implement targeted interventions and systemic reforms. By prioritizing pediatric oncology care and implementing the recommended strategies, Ghana and Sub-Saharan Africa can mitigate the burden of pediatric cancer disparages, improve outcomes, and ensure equitable access to care for all pediatric cancer patients in the region. Citation Format: Obed Ofosu-Appiah. Addressing pediatric cancer disparities in Ghana, Sub-Saharan Africa: A call to action [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pediatric Cancer Research; 2024 Sep 5-8; Toronto, Ontario, Canada. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl):Abstract nr B045.
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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 | 0.021 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.007 | 0.013 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.023 | 0.002 |
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".