Delaney Jared, James Lonnie, Farris Paige, Greene Kaitlin, Sheppard Brett, Shannon Jackie, Brody Jonathan, First Claymore Kills
School of Medicine, Oregon Health & Science University.
Knight Cancer Institute.
Res Sq. 2025 Jun 23:rs.3.rs-6637554. doi: 10.21203/rs.3.rs-6637554/v1.
In Oregon, the incidence of Pancreatic Cancer is 2-times higher among American Indian and Alaska Native (AIAN) communities than among the rest of the population nationwide. We wanted to know if the previously validated Research in Oregon's Communities Review System (ROCRS) could be adapted to investigate this disparity while upholding tribal sovereignty.
We partnered with The Confederated Tribes of Warm Springs with the goal of adapting the ROCR System to address the pancreatic cancer disparity with a culturally responsive approach. One-on-one interviews with community members were conducted at the annual Pi-Ume-Sha Health Fair in 2023. Cancer-related data was requested from the Northwest Portland Area Indian Health Board. Barriers to healthcare access were identified and categorized using PESTLE analysis. A Tribal liaison combined this analysis with cancer-related data to create a cultural landscape. This was done in accordance with the ROCRS system.
This culturally responsive approach fosters trust and engagement in pancreatic cancer research and creates actionable insights for researchers while maintaining tribal sovereignty.
The success of this model demonstrates the potential of tribally tailored research systems to improve participation and long-term collaborations with this underrepresented population.
在俄勒冈州，美国印第安人和阿拉斯加原住民（AIAN）社区的胰腺癌发病率比全国其他人口高出两倍。我们想了解之前经过验证的俄勒冈州社区研究审查系统（ROCRS）是否可以进行调整，以在维护部落主权的同时调查这种差异。
我们与温泉联合部落合作，目标是调整ROCR系统，以采用具有文化响应性的方法解决胰腺癌差异问题。2023年在年度Pi-Ume-Sha健康博览会上对社区成员进行了一对一访谈。向西北波特兰地区印第安人健康委员会索取了癌症相关数据。使用PESTLE分析确定并分类了获得医疗保健的障碍。部落联络人将这一分析与癌症相关数据相结合，以创建文化景观。这是按照ROCRS系统进行的。
这种具有文化响应性的方法促进了对胰腺癌研究的信任和参与，并为研究人员创造了可采取行动的见解，同时维护了部落主权。
该模型的成功证明了部落定制研究系统在提高与这一代表性不足人群的参与度和长期合作方面的潜力。
