Exploring Advance Care Planning Among Older Adults Across Racial, Ethnic, and Cognitive Differences Using Data Science
Project Number1K01AG081485-01A1
Former Number1K01AG081485-01
Contact PI/Project LeaderRAHEMI, ZAHRA
Awardee OrganizationCLEMSON UNIVERSITY
Description
Abstract Text
The overall objective of this K01 is to propel the continued upward trajectory of the career development of Dr.
Rahemi as an independent researcher. Her research focus is on decision making for persons with Alzheimer’s
disease and related dementias (ADRD) and their caregivers and the role of advance care planning (ACP), us-
ing large datasets and data science. This K01 will position her to achieve her career goal of supporting ADRD-
related decision making for end-of-life care in racial minority populations. Research: The specific aims are 1) to
identify variation across racial/ethnic groups and cognitive function levels in the relationship between ACP and
healthcare use and 2) to describe predictors of caregivers’ perception of patient care quality. To address these
aims, she will obtain training in data science, including advanced statistics, explainable artificial intelligence
(XAI), and state-of-the-science ADRD and aging. The Health and Retirement Study (HRS), including HRS
post-mortem proxy interviews and HRS-linked Medicare data, will be used. This project will provide evidence
on nuanced interactions between a mix of variables and racial disparities in end-of-life care for minority older
adults with or at risk of ADRD and their caregivers—groups vastly overlooked in end-of-life research. Candi-
date: Dr. Rahemi is an Assistant Professor of Nursing at Clemson University. She has substantial training in
quantitative research using secondary data analytic approaches (e.g., HRS dataset analyses and training) to
investigate ACP and healthcare use among minority and ADRD populations. Building upon her Carolina Center
on Alzheimer’s Disease and Minority Research pilot project using HRS data, this K will allow her to model com-
plex determinants of racial disparities in ACP and end-of-life care. Two training goals will support her success
in becoming an independent researcher: 1) develop expertise in state-of-the-science on aging, ADRD, and
ACP and 2) gain skills in advanced statistics, XAI, and secondary analysis of large datasets in interdisciplinary
aging research. Mentors/Environment: This career development plan includes experiential and hands-on re-
search training on related projects led by Dr.s Demiris and Jarrín. Dr. Rahemi and her mentors have developed
a 3-pronged strategy to address her career goals and training needs: 1) a robust and interdisciplinary team of
mentors and collaborators who will guide her research and career development; 2) an innovative research pro-
ject integrated with her training goals that are scientifically relevant and rigorous; 3) an assembly of course-
work, workshops, and seminars offered by artificial intelligence (AI) programs, the Alzheimer's Association In-
terdisciplinary Summer Research Institute, the National Institute on Aging, and the Hartford Institutes for Geri-
atric Nursing, complemented by professional interactions that build upon existing resources at Clemson Uni-
versity and affiliated institutes. This project will provide training, mentorship, and research experiences founda-
tional to Dr. Rahemi’s career development as an independent investigator improving ACP and eliminating dis-
parities in end-of-life care among racial/ethnic minority older adults living with ADRD and their caregivers.
Public Health Relevance Statement
Compared to non-Hispanic, white older adults, older Black and Hispanic adults experience higher age-adjusted
rates of Alzheimer’s disease and related dementias (ADRD), disparities in healthcare access and utilization,
worse quality of care at the end of life, and lower rates of advance care planning. This project will address a
significant gap in knowledge regarding the complex patterns and interactions of risk factors related to dispari-
ties in end-of-life care across cognition levels and races/ethnicities. The goals of this career development
award are to use advanced statistical and artificial intelligence methods to understand the factors related to
advance care planning and end-of-life care quality among older adults living with ADRD and their caregivers.
NIH Spending Category
No NIH Spending Category available.
Project Terms
AddressAdherenceAdultAdvance Care PlanningAgeAgeismAgingAlgorithmsAlzheimer's DiseaseAlzheimer's disease related dementiaAlzheimer's disease riskArtificial IntelligenceAutopsyBig DataBlack raceCaregiver BurdenCaregiversCaringCategoriesCause of DeathCessation of lifeCognitionCognitiveComplexDataData AnalyticsData ScienceData SetDecision AidDecision MakingDemographic FactorsDevelopment PlansDiscipline of NursingDisparityEducational workshopEmotionalEnvironmentEthnic OriginEthnic PopulationFamilyGeriatric NursingGoalsHealthHealth and Retirement StudyHealthcareHispanicHospice CareHospitalizationHospitalsImpaired cognitionIntensive CareInterviewK-Series Research Career ProgramsKnowledgeLeadLifeLinear RegressionsLinkLogisticsLongitudinal StudiesMachine LearningMedicalMedicareMentorsMentorshipMethodsMinorityMinority Health ResearchModelingNational Institute on AgingNot Hispanic or LatinoNursing HomesOutcomePalliative CareParticipantPatient CarePatient Self-ReportPatientsPatternPerceptionPersonsPilot ProjectsPoliciesPopulationPositioning AttributePreparationProxyQuality of CareRaceResearchResearch InstituteResearch PersonnelResearch Project GrantsResearch TrainingResourcesRespondentRisk FactorsRoleSamplingScienceSexismStatistical MethodsTrainingUniversitiesVariantWorkartificial intelligence methodartificial intelligence modelcareercareer developmentclinical practicecognitive functiondecision-making capacitydesigndisparity eliminationend of lifeend of life careethnic differenceethnic disparityethnic minorityexperienceexplainable artificial intelligenceflexibilityhands on researchhealth care availabilityhealth care disparityhealth care service utilizationhealth determinantshealth disparityhealth equityhospitalization ratesimprovedinnovationlarge datasetsmarginalizationnovelolder adultolder patientpatient home carepredictive modelingpreferenceprofessorprogramsracial determinantracial differenceracial disparityracial minorityracial minority populationracial populationracismresearch and developmentsatisfactionsecondary analysisskillsstatistical and machine learningstatisticssuccesssummer researchsupport tools
No Sub Projects information available for 1K01AG081485-01A1
Publications
Publications are associated with projects, but cannot be identified with any particular year of the project or fiscal year of funding. This is due to the continuous and cumulative nature of knowledge generation across the life of a project and the sometimes long and variable publishing timeline. Similarly, for multi-component projects, publications are associated with the parent core project and not with individual sub-projects.
No Publications available for 1K01AG081485-01A1
Patents
No Patents information available for 1K01AG081485-01A1
Outcomes
The Project Outcomes shown here are displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed are those of the PI and do not necessarily reflect the views of the National Institutes of Health. NIH has not endorsed the content below.
No Outcomes available for 1K01AG081485-01A1
Clinical Studies
No Clinical Studies information available for 1K01AG081485-01A1
News and More
Related News Releases
No news release information available for 1K01AG081485-01A1
History
No Historical information available for 1K01AG081485-01A1
Similar Projects
No Similar Projects information available for 1K01AG081485-01A1