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Screening for Cognitive Impairment Following Critical Illness: Designing and Testing an Implementation Program to Support High Risk Older Adults

Screening for Cognitive Impairment Following Critical Illness: Designing and Testing an Implementation Program to Support High Risk Older Adults
筛查危重疾病后的认知障碍:设计和测试支持高危老年人的实施计划
批准号:
10282543
负责人:
Jessica Ann Palakshappa
金额:
$17.71万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-09-01 至 2026-08-31
关键词:
Active LearningAddressAdmission activityAdoptedAdultAffectAgeAgingAlzheimer&aposs DiseaseAlzheimer&aposs disease related dementiaAreaCaregiver BurdenCaregiversCaringClinical TrialsCognitionCognitiveCommunicationComplicationConsolidated Framework for Implementation ResearchContinuity of Patient CareCritical CareCritical IllnessDataDementiaDevelopmentDisciplineEarly InterventionEducationElderlyElectronic Health RecordEnvironmentEpidemiologyFamilyFocus GroupsGoalsHealth systemHigh PrevalenceImpaired cognitionImpairmentIndividualIntensive CareIntensive Care UnitsInterventionInterviewK-Series Research Career ProgramsKnowledgeLeadLearningLinkMedicareMedicare claimMentorsMentorshipMethodologyMethodsModelingNational Institute on AgingNursing HomesParticipantPatientsPhysiciansPopulationPublic HealthRecommendationResearchResearch InfrastructureResearch PersonnelResearch PriorityResourcesRetrospective cohort studyRiskRisk FactorsScientistScreening procedureSeveritiesSiteStructureTelephoneTestingTrainingUnited StatesUnited States National Institutes of HealthWorkbeneficiarycare providerscareercognitive testingdesigneffectiveness implementation studyevidence baseevidence based guidelinesexperiencefollow-upforesthealth beliefhigh riskhigh risk populationimplementation designimplementation scienceimplementation trialimprovedinnovationmedical schoolsmild cognitive impairmentmodifiable riskmortalitypatient oriented researchpredictive modelingpreventprogramsscreeningscreening guidelinesskillstooltreatment as usual

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中文摘要
翻译
帕拉克沙帕 1K23AG073529-01 在许多老年人中,危重疾病会导致轻度认知障碍(MCI)或阿尔茨海默病及相关痴呆(ADRD)。在美国,每年大约有250万老年人被送入重症监护病房(ICU);其中,四分之一的老年人在入住ICU 12个月后,其严重程度类似于轻度ADRD。识别危重疾病后的MCI或ADRD对于将患者和他们的照顾者与支持联系起来,提供已知可以减少MCI发展为阿尔茨海默病(AD)的护理建议,并最终提高我们对导致这种并发症的可改变的风险因素的理解至关重要。因此,各学科的专家建议在高危患者的危重疾病后筛查MCI或AD;然而,这并未被广泛采用。该指导职业发展奖的总体目标是获得认知评估和实施科学方面的额外培训,并使用混合方法开发和试行实施计划,以支持对老年人危重疾病后的事件MCI或ADRD进行筛查。目标1将使用联邦医疗保险索赔数据开发和测试危重疾病后事件MCI或AD的预测模型,然后重新校准该模型以用于电子健康记录(EHR),在将预测建模与EHR数据集成方面提供经验学习。在目标2中,我将学习使用定性数据,通过确定特别是在ICU后人群中实施认知筛查的促进者和障碍,来为实施提供信息。在目标3中,我将获得设计和实施试点实施试验的经验,并确定预测痴呆症和提供治疗(Adapt)的可行性和潜在影响,这是一个实施计划,旨在支持在我们的医疗系统中对危重疾病后的MCI或ADRD进行筛查。我将利用维克森林医学院出色的研究环境,以及非常合格的导师团队(威廉姆森博士、休斯顿博士、汉查特博士、伯肯博士、菲尔斯博士、迈耶博士)的支持和指导。通过授课、专职指导和实践经验,我将在预测建模与EHR数据的集成、使用定性数据为实施提供信息以及设计和实施试点实施试验方面获得必要的培训。我还将继续接受认知评估方法和老年学原理方面的额外培训,建立一个将危重疾病、衰老和认知以及实施科学联系起来的专业领域。这项以患者为导向的指导研究K23将增进我们对如何最好地识别和支持危重疾病后患有MCI或ADRD的老年人的理解,它将帮助我实现我的长期目标,即成为一名独立的内科科学家,致力于改善我们在危重疾病期间和之后为老年人提供的护理。
英文摘要
Palakshappa 1K23AG073529-01 Critical illness leads to incident mild cognitive impairment (MCI) or Alzheimer’s disease and related dementias (ADRD) in many older adults. Roughly 2.5 million older adults are admitted to intensive care units (ICUs) annually in the United States; of those, 1 in 4 have a degree of impairment similar in severity to mild ADRD 12 months after their ICU stay. Recognizing MCI or ADRD following critical illness is crucial for connecting patients and their caregivers with support, providing care recommendations known to decrease the progression of MCI to Alzheimer’s disease (AD), and ultimately improving our understanding of modifiable risk factors that lead to this complication. As such, experts across disciplines recommend screening for MCI or AD following critical illness in high-risk patients; however, this has not been widely adopted. The overall objective of this mentored career development award is to obtain additional training in cognitive assessment and implementation science and use a mixed-methods approach to develop and pilot-test an implementation program to support screening for incident MCI or ADRD following critical illness in older adults. Aim 1 will develop and test a prediction model for incident MCI or AD following critical illness using Medicare claims data and then re-calibrate that model for use in the electronic health record (EHR), providing experiential learning in integrating prediction modeling with EHR data. In Aim 2, I will learn to use qualitative data to inform implementation by identifying facilitators and barriers to implementing cognitive screening specifically in the post-ICU population. In Aim 3, I will gain experience with the design and conduct of a pilot implementation trial and determine the feasibility and potential impact of Anticipating Dementia and Providing Therapy (ADAPT), an implementation program designed to support screening for MCI or ADRD following critical illness in our health system. I will capitalize on the outstanding research environment at Wake Forest School of Medicine as well as the support and guidance of an exceptionally qualified mentorship team (Drs. Williamson, Houston, Hanchate, Birken, Files, Meyer). Through didactic coursework, dedicated mentorship, and hands-on experience, I will obtain the necessary training in the integration of prediction modeling with EHR data, the use of qualitative data to inform implementation, and the design and conduct of a pilot implementation trial. I will also pursue additional training in cognitive assessment methods and geriatric principles, establishing an area of expertise linking critical illness, aging and cognition, and implementation science. This Mentored Patient-Oriented Research K23 will advance our understanding of how best to identify and support older adults with MCI or ADRD after critical illness and it will help me to achieve my long-term goal of becoming an independent physician-scientist dedicated to improving the care we deliver to older adults during and after critical illness.
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Screening for Cognitive Impairment Following Critical Illness: Designing and Testing an Implementation Program to Support High Risk Older Adults
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