Racial/Ethnic Disparities in Health Care and Challenges in Insurance Plan Choices among Older People with Alzheimer’s Disease and Related Dementia: A Mixed Methods Study of Medicare Options
Racial/Ethnic Disparities in Health Care and Challenges in Insurance Plan Choices among Older People with Alzheimer’s Disease and Related Dementia: A Mixed Methods Study of Medicare Options
批准号:
10723148
负责人:
Elham Mahmoudi
金额:
$72.68万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-08-01 至 2028-04-30
关键词:
AcademyAdverse eventAdvisory CommitteesAlzheimer&aposs disease related dementiaBackBlack raceCaregiversCaringCharacteristicsCommunitiesComplexContinuity of Patient CareCountyDataData AnalysesDecision MakingDisadvantagedDisparityElderlyEligibility DeterminationEnrollmentEquitable healthcareEquityEthnic OriginEventFee-for-Service PlansGoalsGrowthHealthHealth InsuranceHealth PolicyHealthcareHispanicHospital CostsHospitalizationInpatientsInterviewLeadLength of StayMapsMeasuresMedicareMedicare claimMedicineMethodsModelingPoliciesPositioning AttributePreventive carePreventive serviceProspective Payment SystemQualifyingQuality of CareRaceReportingResearchRiskSamplingSelection BiasStructureVariantbeneficiarycare coordinationdesigndisparity reductioneconometricseligible participantethnic disparityethnic health disparityethnic minorityexperiencehealth care disparityhealth planhigh riskhospital readmissioninnovationinsurance planmortalitymultidisciplinarypatient populationpaymentracial disparityracial health disparityracial minoritysocioeconomic disadvantagetheoriestreatment effect
中文摘要
项目总结/文摘
英文摘要
Project Summary/Abstract
Medicare is the primary health insurance for older adults (65+) living in the U.S. Eligible beneficiaries must
choose between two different plan types: traditional Medicare (TM) and Medicare Advantage (MA). MA
enrollment has doubled in the last decade, currently covering about 45% of all Medicare beneficiaries. This
growth has been driven, in part, by an increasing proportion of Black and Hispanic MA enrollees. While
evidence suggests that some MA patient populations receive better-quality care and experience fewer
racial/ethnic health disparities, it is unknown whether this is true for socioeconomically disadvantaged Black
and Hispanic Medicare beneficiaries, who are at substantially greater risk of incident Alzheimer’s disease and
related dementia (ADRD). Because they have more complex healthcare needs but receive less coordinated
care and fewer preventive services, they are at significantly higher risk of potentially preventable
hospitalization, 30-day hospital readmission, and other adverse health events than their White counterparts.
Further, there is considerable variation in the quality of MA plans. Many MA plans in Black- and Hispanic-
populated counties have low quality ratings, which may contribute to racial/ethnic health disparities. Moreover,
beneficiaries’ health plan decision-making is complex, potentially exacerbating racial/ethnic health disparities
among ADRD beneficiaries. Finally, racial/ethnic health care disparity research has been mainly observational
and descriptive, thus limiting its usefulness in informing policy. The specific aims of this mixed methods study
are to use innovative econometric causal methods to (1) examine and explain racial/ethnic disparities in 16
measures of care continuity, receipt of preventive services, and quality of care in MA vs. TM; (2)
examine racial/ethnic disparities within and between MA plans in 16 measures of care continuity,
receipt of preventive services, and quality of care; and (3) explore health plan decision-making
challenges among beneficiaries with ADRD and/or their caregivers. Our multidisciplinary team, with
decades of experience in ADRD research, racial/ethnic healthcare disparity analysis, claims data and
econometrics, qualitative and mixed methods, and health policy is uniquely qualified to conduct this innovative
research. This study will inform Medicare policies to promote more equitable health care and facilitate easier
health plan decision-making for socioeconomically disadvantaged Black and Hispanic Medicare beneficiaries
with ADRD. With our national Policy Advisory Committee of stakeholders, including a beneficiary with ADRD
and/or a caregiver, we are well-positioned to disseminate findings and promote quality and equitable health
care for racial/ethnic minority Medicare beneficiaries with ADRD.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Using Machine Learning to Improve Readmission Prediction in Alzheimer's Disease and Related Dementia
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批准号:10408863
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项目类别:
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资助金额:$13.01万
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财政年份:2020
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负责人:Elham Mahmoudi
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依托单位:
Using Machine Learning to Improve Readmission Prediction in Alzheimer's Disease and Related Dementia
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批准号:10672377
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项目类别:
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资助金额:$13.01万
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财政年份:2020
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负责人:Elham Mahmoudi
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依托单位:
Using Machine Learning to Improve Readmission Prediction in Alzheimer's Disease and Related Dementia
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批准号:10263307
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项目类别:
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资助金额:$13.01万
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财政年份:2020
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负责人:Elham Mahmoudi
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依托单位:
Using Machine Learning to Improve Readmission Prediction in Alzheimer's Disease and Related Dementia
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批准号:10039692
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项目类别:
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资助金额:$13.01万
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财政年份:2020
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负责人:Elham Mahmoudi
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依托单位:
海外基金