Utah Center for Clinical and Translational Science

犹他州临床和转化科学中心

• 批准号: 10363309
• 负责人: WILLARD H. DERE
• 金额: $ 123.11万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-03-30 至 2023-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10363309
• 关键词: Academic Medical Centers; Achievement; Address; Administrative Efficiency; Advocacy; African; African American; Area; Biomedical Research; Cities; Clinical; Clinical Research; Clinical Sciences; Clinical Trials; Collaborations; Colorado; Communities; Community Outreach; Complement; Computer software; Data; Data Collection; Disease; Diverse Workforce; Ecosystem; Education; Ensure; Environment; Ethics; Evaluation; Face; Fostering; Foundations; Funding; Genes; Genetic; Genomics; Goals; Health; Health Care Research; Health Professional; Health system; Healthcare; Healthcare Systems; Idaho; Informatics; Infrastructure; International; Knowledge; Latino; Leadership; Learning; Longevity; Medicare; Methodology; Methods; Mission; Native Americans; Participant; Patients; Positioning Attribute; Principal Investigator; Prize; Process; Public Health; Randomized; Refugees; Reproducibility; Research; Research Infrastructure; Research Methodology; Research Project Grants; Research Training; Resource Sharing; Resources; Rural; Science; Scientific Advances and Accomplishments; Services; Sodium Chloride; Special Population; Statistical Methods; Structure; Surrogate Markers; Time; Training; Training and Infrastructure; Translational Research; Translations; Underrepresented Minority; United States Department of Veterans Affairs; Universities; Utah; Work; Wyoming; base; burden of illness; career; clinical center; community based participatory research; data acquisition; educational atmosphere; experience; frontier; implementation science; improved; innovation; member; multidisciplinary; novel; programs; quality improvement organization; sharing platform; skills; software development; suburb; tool; translational impact; translational pipeline; Academic Medical Centers; Achievement; Address; Administrative Efficiency; Advocacy; African; African American; Area; Biomedical Research; Cities; Clinical; Clinical Research; Clinical Sciences; Clinical Trials; Collaborations; Colorado; Communities; Community Outreach; Complement; Computer software; Data; Data Collection; Disease; Diverse Workforce; Ecosystem; Education; Ensure; Environment; Ethics; Evaluation; Face; Fostering; Foundations; Funding; Genes; Genetic; Genomics; Goals; Health; Health Care Research; Health Professional; Health system; Healthcare; Healthcare Systems; Idaho; Informatics; Infrastructure; International; Knowledge; Latino; Leadership; Learning; Longevity; Medicare; Methodology; Methods; Mission; Native Americans; Participant; Patients; Positioning Attribute; Principal Investigator; Prize; Process; Public Health; Randomized; Refugees; Reproducibility; Research; Research Infrastructure; Research Methodology; Research Project Grants; Research Training; Resource Sharing; Resources; Rural; Science; Scientific Advances and Accomplishments; Services; Sodium Chloride; Special Population; Statistical Methods; Structure; Surrogate Markers; Time; Training; Training and Infrastructure; Translational Research; Translations; Underrepresented Minority; United States Department of Veterans Affairs; Universities; Utah; Work; Wyoming; base; burden of illness; career; clinical center; community based participatory research; data acquisition; educational atmosphere; experience; frontier; implementation science; improved; innovation; member; multidisciplinary; novel; programs; quality improvement organization; sharing platform; skills; software development; suburb; tool; translational impact; translational pipeline

PROJECT SUMMARY/ABSTRACT Racial/ethnic minority, low socioeconomic status (SES), and rural populations suffer profound health inequities across a wide variety of diseases and conditions, as well as a disproportionate burden of the negative health consequences of the COVID-19 pandemic. Latinos make up ~14% of the Utah population vs. ~40% of Utah's COVID-19 cases, and the case rate is over 3-fold higher in neighborhoods characterized by high vs. low deprivation. The case rate in Utah per 100,000 is 665 among Whites vs. 3,503 among Latinos, 3,470 among Pacific Islanders, 1,727 among African Americans, and 1,569 among Native Americans. Community Health Centers (CHCs) are optimal settings for addressing the screening and uptake of COVID-19 testing among underserved populations. Twelve Utah CHC systems are participating in SCALE-UP Utah. Their 39 primary care clinics serve over 115,000 unique patients annually (37% Latino, 11% Native American, 61% <100% poverty level, 51% uninsured, and 49% of clinics are in rural/frontier areas). SCALE-UP Utah is a state-wide, pragmatic, multilevel intervention study. The long-term objective is to increase the reach, uptake, and sustainability of COVID-19 screening and testing among underserved populations. The team has existing infrastructure and “shovel ready” clinic and population health management (PHM) interventions ready for implementation. SCALE-UP Utah builds on long standing, funded partnerships, and will implement and evaluate three practical, feasible, scalable multi-level interventions to increase COVID-19 screening and uptake in Utah CHCs. Interventions leverage widely adopted Health Information Technology (HIT) at the point of care, text messaging, and patient navigation. SCALE-UP Utah will coordinate and synergize existing infrastructure and resources across the state, as well as strengthen infrastructure and data networks for rapid deployment of new screening and testing protocols, vaccination programs, etc. The project will employ a rapid cycle research approach in which interventions are tested on a small scale, using short time frames (e.g., <1 month) and cyclical evaluation cycles. A critical aspect of these rapid-research cycles is that change can be quickly tested on a small scale, and then disseminated to other clinics/patients. The interventions will be readily available for adoption by other low-resource healthcare settings; and, the data will advance population health and implementation science. The specific aims are to: 1. Implement and evaluate clinic and PHM interventions for increasing the uptake of COVID-19 testing among CHC patients across Utah. 2. Examine implementation effectiveness outcomes, as well as characteristics of both clinics and patients that may influence intervention effects and implementation outcomes.

项目摘要/摘要 种族/族裔少数民族，低社会经济地位（SES）和农村人口遭受深远的健康状况 多种疾病和疾病的不平等，以及负面的不成比例的燃烧 COVID-19大流行的健康后果。拉丁美洲人占犹他州人口的约14％，约40％ 犹他州的COVID-19案例，案件率在高与低的社区中高3倍以上 剥夺。在白人中，犹他州的案件率为665，在拉丁美洲人中的3,503，3,470在 太平洋岛民，非裔美国人中有1,727名，在美洲原住民中有1,569名。社区健康 中心（CHC）是解决COVID-19测试的最佳设置 服务不足的人群。十二个犹他州CHC系统正在参与犹他州的规模。他们的39个初选 护理诊所每年为115,000多名独特患者服务（拉丁美洲裔37％，美国原住民11％，61％<100％ 贫困水平，未保险的51％和49％的诊所在粗糙/边境地区）。扩大犹他州是全州范围的 务实的多层次干预研究。长期目标是增加覆盖范围，吸收和 在服务不足的人群中筛选和测试的可持续性。团队有现有 基础设施和“铲子就绪”诊所和人口健康管理（PHM）干预措施准备 执行。扩大犹他州的规模建立在长期以来的资助伙伴关系的基础上，并将实施和 评估三种可行的，可行的，可扩展的多层次干预措施，以增加Covid-19筛查和吸收 在犹他州CHC中。干预措施利用广泛采用的健康信息技术（HIT） 护理，文字消息和患者导航。扩大犹他州将协调并协同现有 全州的基础架构和资源，以及快速的强大基础架构和数据网络 部署新的筛查和测试协议，疫苗接种计划等。该项目将迅速采用 循环研究方法，其中使用短时间的干预措施进行了小规模测试（例如，<1 一个月）和周期性评估周期。这些快速研究周期的一个关键方面是，变化可以是 快速进行小规模测试，然后分发到其他诊所/患者。干预将是 容易被其他低资源医疗保健环境采用；而且，数据将提高人口 健康与实施科学。 具体目的是： 1。实施和评估诊所和PHM干预措施，以增加COVID-19测试的吸收 在犹他州的CHC患者中。 2。检查实施有效性结果，以及诊所和患者的特征 可能会影响干预效果和实施结果。