A Pragmatic Trial of the UCSF Brain Health Assessment for the Detection of Cognitive Impairment in Primary Care
加州大学旧金山分校脑健康评估用于检测初级保健中认知障碍的实用试验
基本信息
- 批准号:10524698
- 负责人:
- 金额:$ 162.41万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-09-15 至 2027-08-31
- 项目状态:未结题
- 来源:
- 关键词:AddressAfrican AmericanAgeAgingAlgorithmsAlzheimer&aposs DiseaseAsian Pacific IslanderBehavioral SymptomsBlack raceCaliforniaCaringClinicCluster randomized trialCognitiveCommunitiesConsultationsDementiaDetectionDiagnosisDiagnosticDisclosureEarly DiagnosisEconomicsElderlyEpidemiologyFamilyFrequenciesFundingFutureGoalsGoldHealthcareHispanicImpaired cognitionImpairmentIntegrated Health Care SystemsLanguageLatinoLimited English ProficiencyMedicalMedicareMemoryNeuropsychologyNursesOutcomePathway interactionsPatientsPenetrationPersonsPopulationPopulation HeterogeneityPrimary Health CareProviderRandomizedResearchResourcesRiskSan FranciscoSpecialistSpecificityStandardizationSurveysTablet ComputerTabletsTestingTimeUniversitiesVisuospatialWorkbasebrain healthcare outcomescognitive testingcohortcomorbiditycomparison groupcostdesigndiagnosis standardeducation resourceseffectiveness evaluationethnic diversityethnic minorityexperiencefollow-upfunctional declinehealth assessmenthealth care disparityhealth disparityhealth disparity populationshealth equityimplementation barriersimplementation scienceimplementation strategyimprovedinformantmedical specialtiesmemberneighborhood disadvantageneurocognitive disordernovelnovel strategiespaymentpragmatic trialprecision medicineprimary outcomeracial and ethnicracial and ethnic disparitiesskillssocial determinantssocial health determinantsstatisticstelehealthtreatment as usualtreatment effectuser-friendly
项目摘要
Efficient and user-friendly paradigms to detect cognitive impairment, including dementia are needed in primary care. The UCSF Brain Health Assessment accurately detects cognitive impairment via an appealing tablet interface with automated scoring and EMR integration. With the first round of funding, we validated the paradigm in English and Spanish speakers, developed regression-based norms that accurately classify patients by their likelihood of impairment, identified racial and ethnic disparities and barriers to brain health care, and at UCSF primary care the paradigm increased diagnosis rates by 40%. The primary goals of the proposed work are to evaluate the effectiveness of the paradigm for improving brain health care via a large pragmatic trial, to address challenges to implementation, and to pioneer precision medicine approaches to reference group adjustments. In Aim 1, we will conduct a pragmatic cluster randomized trial in 26 Kaiser Southern California primary care clinics to determine the effectiveness of the paradigm on detection rates and other brain health outcomes. In Aim 2, we will identify and address challenges to implementation and sustainability. In Aim 3, we will further diversify our well-characterized reference group and refine our detection algorithms to adjust for social determinants of brain health (not race), which is novel and also critical for a paradigm to be appropriate for all members of the increasingly diverse U.S. older adult population. If successful, this work will produce a validated paradigm that is available to address the unmet need to detect cognitive impairment, including dementia, in large and diverse populations seen in primary care, and provide useful information about wide scale implementation of the paradigm to mitigate healthcare disparities and improve brain health care.
在初级保健中需要有效且用户友好的范例来检测认知障碍,包括痴呆症。 UCSF大脑健康评估通过具有自动评分和EMR集成的吸引力的平板电脑界面准确地检测出认知障碍。在第一轮资金的情况下,我们验证了英语和西班牙语者的范式,开发了基于回归的规范,这些规范可以通过障碍的可能性准确地对患者进行分类,确定的种族和种族差异以及对大脑保健的障碍,在UCSF初级保健中,范式将范例提高了40%。拟议工作的主要目标是通过大型务实试验评估范式改善脑保健的有效性,以应对实施挑战,并为参考小组调整提供先驱精密医学方法。在AIM 1中,我们将在26个KAISER南加州初级保健诊所进行务实的聚类随机试验,以确定范式对检测率和其他大脑健康结果的有效性。在AIM 2中,我们将确定并应对实施和可持续性的挑战。在AIM 3中,我们将进一步多样化我们的特征良好的参考小组,并完善我们的检测算法,以适应大脑健康的社会决定因素(不是种族),这对于范式来说是新颖的,对于范式来说,适合美国日益多样化的美国老年人的所有成员。如果成功的话,这项工作将产生经过验证的范式,可用于解决在初级保健中看到的大量和多样性人群中检测认知障碍(包括痴呆症)的未满足需求,并提供有关缓解范式实施大规模实施的有用信息,以减轻医疗保健差异并改善大脑保健。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
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Katherine Laurel Possin其他文献
Katherine Laurel Possin的其他文献
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{{ truncateString('Katherine Laurel Possin', 18)}}的其他基金
The Care Ecosystem Response to COVID-19: Accelerating Research on Dementia Care that Meets the Needs of Caregivers and Persons with Dementia during COVID-19
护理生态系统对 COVID-19 的响应:加速痴呆症护理研究,满足 COVID-19 期间护理人员和痴呆症患者的需求
- 批准号:
10324344 - 财政年份:2022
- 资助金额:
$ 162.41万 - 项目类别:
The Care Ecosystem Response to COVID-19: Accelerating Research on Dementia Care that Meets the Needs of Caregivers and Persons with Dementia during COVID-19
护理生态系统对 COVID-19 的响应:加速痴呆症护理研究,满足 COVID-19 期间护理人员和痴呆症患者的需求
- 批准号:
10634511 - 财政年份:2022
- 资助金额:
$ 162.41万 - 项目类别:
A Pragmatic Trial of the UCSF Brain Health Assessment for the Detection of Cognitive Impairment in Primary Care
加州大学旧金山分校脑健康评估用于检测初级保健中认知障碍的实用试验
- 批准号:
10705314 - 财政年份:2022
- 资助金额:
$ 162.41万 - 项目类别:
PossinK, NIH, R01 Supplement P0568851 4/4/2023
PossinK,NIH,R01 补充 P0568851 4/4/2023
- 批准号:
10820892 - 财政年份:2022
- 资助金额:
$ 162.41万 - 项目类别:
Reimagining Precision Medicine Approaches to AD Diagnosis
重新构想 AD 诊断的精准医学方法
- 批准号:
10604257 - 财政年份:2021
- 资助金额:
$ 162.41万 - 项目类别:
Reimagining Precision Medicine Approaches to AD Diagnosis
重新构想 AD 诊断的精准医学方法
- 批准号:
10382435 - 财政年份:2021
- 资助金额:
$ 162.41万 - 项目类别:
Reimagining Precision Medicine Approaches to AD Diagnosis
重新构想 AD 诊断的精准医学方法
- 批准号:
10211331 - 财政年份:2021
- 资助金额:
$ 162.41万 - 项目类别:
The UCSF Brain Health Assessment for the Detection of Cognitive Impairment Among Diverse Populations in Primary Care
加州大学旧金山分校大脑健康评估,用于检测初级保健中不同人群的认知障碍
- 批准号:
10100827 - 财政年份:2020
- 资助金额:
$ 162.41万 - 项目类别:
The UCSF Brain Health Assessment for the Detection of Cognitive Impairment Among Diverse Populations in Primary Care
加州大学旧金山分校大脑健康评估,用于检测初级保健中不同人群的认知障碍
- 批准号:
10260511 - 财政年份:2017
- 资助金额:
$ 162.41万 - 项目类别:
The UCSF Brain Health Assessment for the Detection of Cognitive Impairment Among Diverse Populations in Primary Care
加州大学旧金山分校大脑健康评估,用于检测初级保健中不同人群的认知障碍
- 批准号:
9766416 - 财政年份:2017
- 资助金额:
$ 162.41万 - 项目类别:
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