Department of Obstetrics and Gynecology, Preventive Medicine and Medical Social Sciences, Northwestern University Feinberg School of Medicine, 633 N St Clair, Suite 1800, Chicago, IL, 60611, USA.
Office of Community Engaged Research and Implementation Science (OCERIS), University of Illinois Cancer Center, Chicago, IL, 60612, USA.
J Cancer Educ. 2020 Jun;35(3):530-537. doi: 10.1007/s13187-019-01492-8.
Helping Her Live (HHL) is a community health worker-led outreach model that navigates women from vulnerable communities to mammography screening and diagnostic follow-up. The objective of this study was to evaluate HHL implementation on the southwest side of Chicago. HHL has been implemented on the west side of Chicago since 2008, where it has increased mammogram completion and diagnostic follow-up rates among Black and Hispanic women from resource poor communities. In 2014, HHL was translated to the southwest side of Chicago; implementation success was evaluated by comparing outreach, navigation request, and mammogram completion metrics with the west side. During January 2014-December 2015, outreach was less extensive in the southwest setting (SW) compared to the benchmark west setting (W); however, the proportion of women who completed mammograms in SW was 50%, which compared favorably to the proportion observed in the benchmark setting W (42%). The distribution of insurance status and the racial and ethnic makeup of individuals met on outreach in the W and SW were significantly different (p < 0.0005). This successful expansion of HHL in terms of both geographic and demographic reach justifies further studies leveraging these results and tailoring HHL to additional underserved communities.
“帮助她活下来”(HHL)是一种社区卫生工作者主导的外展模式,它可以引导来自弱势社区的女性接受乳房 X 光筛查和诊断性随访。本研究的目的是评估 HHL 在芝加哥西南部的实施情况。自 2008 年以来,HHL 一直在芝加哥西部实施,它提高了来自资源匮乏社区的黑人和西班牙裔女性的乳房 X 光检查完成率和诊断性随访率。2014 年,HHL 被推广到芝加哥西南部;通过比较西部和西南部的外展、导航请求和乳房 X 光检查完成情况,评估了实施的成功情况。在 2014 年 1 月至 2015 年 12 月期间,西南部的外展范围比西部基准点小(SW);然而,在 SW 完成乳房 X 光检查的女性比例为 50%,这与在基准点 W 观察到的比例(42%)相当。在 W 和 SW 外展中遇到的保险状况和个人种族和民族构成分布差异显著(p < 0.0005)。HHL 在地理和人口覆盖范围上的成功扩展证明了进一步研究利用这些结果并将 HHL 定制为更多服务不足的社区是合理的。