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A learning community approach to identifying interventions in health systems to reduce colorectal cancer screening disparities

机译:一种学习社区方法,用于识别卫生系统中的干预措施以减少结肠直肠癌筛查差异

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Although colorectal cancer (CRC) screening in the United States has been increasing, screening rates are not optimal, and there are persistent disparities in CRC screening and mortality, particularly among minority patients. As most CRC screening takes place in primary care, health systems are well-positioned to address this important population health problem. However, most health systems have not actively engaged in identifying and implementing effective evidence-based intervention strategies that can raise CRC screening rates and reduce disparities. Drawing on the Collective Impact Model and the Interactive Systems Framework for Dissemination and Implementation, our project team applied a learning community strategy to help two health systems in southeastern Pennsylvania identify evidence-based CRC screening interventions for primary care patients. Initially, this approach involved activating a coordinating team, steering committee (health system leadership and stakeholder organizations), and patient and stakeholder advisory committee to identify candidate CRC screening intervention strategies. The coordinating team guided the steering committee through a scoping review to identify seven randomized trials that identified interventions that addressed CRC screening disparities. Subsequently, the coordinating team and steering committee applied a screening intervention classification typology to select an intervention strategy that involved using an outreach strategy to provide minority patients with access to both stool blood test and colonoscopy screening. Finally, the coordinating team and steering committee engaged the health system patient and stakeholder advisory committee in planning for intervention implementation, thus taking up the challenge of reducing and important health disparity in patient populations served by the two health systems.
机译:尽管在美国,大肠癌(CRC)筛查一直在增加,但筛查率并不是最佳的,而且CRC筛查和死亡率存在持续的差异,特别是在少数患者中。由于大多数CRC筛查都是在初级保健中进行的,因此卫生系统处于很好的位置,可以解决这一重要的人口健康问题。但是,大多数卫生系统尚未积极参与确定和实施有效的循证干预策略,这些策略可提高CRC筛查率并减少差异。我们的项目团队利用集体影响模型和传播与实施的交互式系统框架,应用了学习社区策略,以帮助宾夕法尼亚州东南部的两个卫生系统为初级保健患者确定基于证据的CRC筛查干预措施。最初,此方法涉及激活协调团队,指导委员会(卫生系统领导者和利益相关者组织)以及患者和利益相关者咨询委员会,以识别候选CRC筛查干预策略。协调小组指导指导委员会进行了范围界定审查,确定了七项随机试验,这些试验确定了针对CRC筛查差异的干预措施。随后,协调小组和指导委员会应用了筛查干预分类类型,以选择一种干预策略,该策略涉及使用外展策略为少数患者提供粪便血液检查和结肠镜检查的机会。最后,协调团队和指导委员会与卫生系统患者和利益相关方咨询委员会合作,制定干预措施计划,从而应对了减少和降低由两个卫生系统服务的患者人群中重要的健康差异的挑战。

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