Combining Community-Engaged Research with Group Model Building to Address Racial Disparities in Breast Cancer Mortality and Treatment.

Faustine Williams, Graham A Colditz, Peter Hovmand, Sarah Gehlert
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Abstract

Although patterns of African American and white women breast cancer incidence and mortality in St. Louis, Missouri is consistent with those seen elsewhere in the United States, rates vary greatly across zip codes within the city of St. Louis. North St. Louis, whose neighborhoods are primarily African American, exhibits rates of breast cancer mortality that are among the highest in the city and the state as a whole. Based on information that up to 50% of women in North St. Louis with a suspicious diagnosis of breast cancer never enter treatment, we conducted three 2-hour group model building sessions with 34 community stakeholders (e.g., breast cancer survivors or family members or caregivers and community support members such as navigators) to identify the reasons why African American women do not begin or delay breast cancer treatment. Participant sessions produced a very rich and dynamic causal loop diagram of the system producing disparities in breast cancer mortality in St. Louis. The diagram includes 8 major subsystems, causal links between system factors, and feedback loops, all of which shed light on treatment delays/initiation. Our work suggests that numerous intersecting factors contribute to not seeking treatment, which in turn may contribute to African American and white disparities in mortality.

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结合社区参与的研究与群体模型构建解决乳腺癌死亡率和治疗中的种族差异。
尽管密苏里州圣路易斯市非裔美国人和白人妇女乳腺癌发病率和死亡率的模式与美国其他地方的情况一致,但圣路易斯市内不同邮政编码地区的发病率差异很大。北圣路易斯的社区主要是非裔美国人,其乳腺癌死亡率在该市和整个州都是最高的。根据北圣路易斯多达50%的可疑乳腺癌诊断妇女从未进入治疗的信息,我们与34个社区利益相关者(例如,乳腺癌幸存者或家庭成员或护理人员和社区支持成员,如导航员)进行了三次2小时的小组模型构建会议,以确定非洲裔美国妇女不开始或延迟乳腺癌治疗的原因。与会者的会议产生了一个非常丰富和动态的因果循环图,该系统产生了圣路易斯乳腺癌死亡率的差异。该图包括8个主要子系统、系统因素之间的因果联系和反馈回路,所有这些都阐明了治疗延迟/开始。我们的研究表明,许多相互交叉的因素导致了不寻求治疗,这反过来又可能导致非裔美国人和白人死亡率的差异。
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