Project-002

国家药物滥用治疗临床试验网络(CTN)寻求扩大其范围，以包括 以初级保健实践为基础的研究网络(PBRN)，提供接触患者群体和临床医生的途径 有兴趣参与研究项目和使用电子健康记录(EHR)进行研究的人。 我们建议建立一个中南初级保健网络节点。这个跨学科的团队由 Pi Wu博士(3项CTN初级保健研究的Duke Pi)和共同Pi Dr.Dolor(Duke初级保健主任 研究联盟，杜克PCRC)。Duke PCRC是一个初级保健临床医生网络，他们在 临床研究，包括在北卡罗来纳州皮埃蒙特地区8个县的30家诊所， 包括城市和农村。自1997年以来，杜克PCRC已经从&gt；100试验中招募了8000名受试者。杜克 PCRC是在卫生保健研究和质量机构(AHRQ)注册的初级保健网络 PBRN。Duke PCRC是NC网络联盟(NC Network Consortium)的成员网络，是由 北卡罗来纳州8个以实践为基础的研究网络(369个实践，&gt；2100个提供者)。我们的合作伙伴包括NNC， 梅克伦堡地区初级保健研究伙伴关系(MAPPR)，北卡罗来纳州大型医疗保健系统 儿童健康研究网络(NC-CHRN)、NC多点青少年健康研究联盟(NCMARCH)、 以及由PCORI支持的中南临床数据研究网络(田纳西州)。杜勒医生也是 Bravewell综合医学研究网络(BraveNet)协调中心的PI-a PBRN 在14个通过初级保健研究评估综合方法的综合医学中心中。这 成瘾和初级保健之间的多学科伙伴关系确保我们成功参与 患者、提供者、诊所管理员和以实践为基础的研究人员实施多站点项目和 支持CTN任务。我们继续利用丰富的资源(包括健康信息学团队 专家)来自我们正在进行的基于初级保健的纵向默多克登记和生物库研究 研究基础设施，以促进招聘和协作。杜克转化医学研究所(DTMI) 了解Cabarrus/Kannapolis(Murdock)疾病重新分类的测量研究是一项 旨在促进向预测性、预防性和个性化医学过渡的大规模研究计划 通过生物标记物的发现，环境因素的阐明，以及对生物标记物的分子重新分类 疾病。Robert Califf-DTMI博士；NIH合作实验室协调默多克研究的PI 和杜克大学CTSA；以及PCORnet协调中心的联席主任-担任实物合作和 科学顾问。共有11个医疗网站与默多克的研究有关，这些网站增强了我们的访问权限 提供给不同的患者和提供者群体。我们使用多学科的团队科学方法来建立一个 通过最大限度地利用成熟的基础设施，建立中南部初级保健网络节点。

The National Drug Abuse Treatment Clinical Trials Network (CTN) seeks to expand its scope to include primary care practice-based research networks (PBRNs) that offer access to patient populations and clinicians who are interested in engaging in research projects and using Electronic Health Records (EHRs) for research. We propose to establish a Mid Southern Primary Care Networks Node. This interdisciplinary team is led by PI Dr. Wu (Duke PI of 3 CTN studies in primary care) and Co-PI Dr. Dolor (Director of Duke Primary Care Research Consortium, Duke PCRC). Duke PCRC is a network of primary care clinicians who collaborate in clinical research studies, including >30 practices in 8 counties of the Piedmont area of North Carolina (NC), including urban and rural areas. Since 1997, Duke PCRC has enrolled >8000 subjects from >100 trials. Duke PCRC is a registered network in the Agency for Healthcare Research and Quality (AHRQ) for primary care PBRNs. Duke PCRC is a member network within NC Network Consortium (NCNC), a meta-network composed of 8 practice-based research networks in NC (369 practices, >2100 providers). Our partners include NCNC, Mecklenburg Area Partnership for Primary Care Research (MAPPR), large Carolinas HealthCare System, NC Child Health Research Network (NC-CHRN), NC Multi-Site Adolescent Research Consortium for Health (NCMARCH), and a PCORI-supported Mid-South Clinical Data Research Network (Tennessee). Dr. Dolor also is PI of the Coordinating Center for the Bravewell Integrative Medicine Research Network (BraveNet) - a PBRN of 14 integrative medicine centers that evaluate integrative approaches through research in primary care. This multidisciplinary partnership between addiction and primary care ensures our successful engagement of patients, providers, clinic administrators, and practice-based researchers to conduct multisite projects and support CTN missions. We continue to leverage a wealth of resources (including a team of health informatics experts) from our primary care based longitudinal MURDOCK Registry and Biorepository Study as our ongoing research infrastructure to facilitate recruitment and collaboration. Duke Translational Medicine Institute (DTMI) Measurement to Understand the Reclassification of Disease of Cabarrus/Kannapolis (MURDOCK) study is a large-scale research initiative designed to foster the transition to predictive, preventive, personalized medicine through biomarker discovery, elucidation of environmental factors, and the molecular reclassification of diseases. Dr. Robert Califf – DTMI Director; PI of the MURDOCK study, the NIH Collaboratory Coordinating Center, and Duke CTSA; and co-Director of the PCORNet Coordinating Center – serve as an in-kind Co-I and Scientific Advisor. A total of 11 medical sites are affiliated with the MURDOCK study that enhance our access to diverse patient and provider populations. We use a multidisciplinary team-science approach to establish a Mid Southern Primary Care Networks Node by maximizing use of well-established infrastructures.