An analysis of survivorship care strategies in national cancer control plans in Africa

Journal of cancer survivorship : research and practice(2023)

引用 1|浏览13
暂无评分
摘要
Purpose In 2017, the World Health Organization urged member states to develop and implement national cancer control plans (NCCPs) and to anticipate and promote cancer survivor follow-up care, which is a critical yet often overlooked component of NCCPs. This study aims to examine the inclusion of cancer survivorship-related strategies and objectives in NCCPs of African countries. Methods Independent reviewers extracted strategies, objectives, and associated indicators related to survivorship care from 21 current or recently expired NCCPs in African countries. Building on a similar analysis of the US state cancer control plans, reviewers categorized these strategies according to an adapted version of the ten recommendations for comprehensive survivorship care detailed in the 2006 National Academy of Medicine report. Results A total of 202 survivorship-related strategies were identified, with all NCCPs including between 1 and 23 references to survivorship. Eighty-three (41%) strategies were linked to measurable indicators, and 128 (63%) of the survivorship-related strategies were explicitly focused on palliative care. The most frequent domains referenced were models of coordinated care (65 strategies), healthcare professional capacity (45), and developing and utilizing evidence-based guidelines (23). The least-referenced domains were survivorship care plans (4) and adequate and affordable health insurance (0). Conclusions The results of this study indicate that survivorship objectives and strategies should extend beyond palliative care to encompass all aspects of survivorship and should include indicators to measure progress. Implications for cancer survivors Stakeholders can use this baseline analysis to identify and address gaps in survivorship care at the national policy level.
更多
查看译文
关键词
Africa,Cancer survivorship,NCCPs,National cancer control plans
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要