Variations in nursing home residents' depression by level of cognitive impairment
Variations in nursing home residents' depression by level of cognitive impairment
批准号:
9548551
负责人:
Christine Marie Ulbricht
金额:
$20.94万
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-01 至 2020-05-31
关键词:
AddressAdmission activityAdultAffectAgeAggressive behaviorAgingAmericanAntidepressive AgentsBehavioral SymptomsBig DataBig Data to KnowledgeCaringCharacteristicsClinicalClinical TrialsCognitiveComorbidityComplexDataData SetDevelopmentDiabetes MellitusDiagnosisDimensionsDrug PrescriptionsElderlyGoalsHealthHeterogeneityImpaired cognitionImpairmentInterventionKnowledgeLinkLong-Term CareMeasuresMedicalMedical centerMedicare Part AMedicare claimMental DepressionMethodsModelingNational Institute on AgingNerve DegenerationNursing HomesOutcomePainPatientsPersonal SatisfactionPopulationPrecision Medicine InitiativeProcessReportingResearchResearch SupportRoleSeveritiesSubgroupSuicideTestingUnited States National Institutes of HealthVariantWorkage groupage relatedaging brainbasecare systemscognitive functioncostdepressive symptomsexperiencehealth service usehealthy aginghuman old age (65+)improvedindividual patientindividualized medicineinterestlongitudinal datasetmeetingsmultiple chronic conditionsnovelnursing home length of stayperson centeredprecision medicinepreventtooltreatment effecttreatment response
中文摘要
项目总结/文摘
英文摘要
PROJECT SUMMARY/ABSTRACT
Approximately 1.4 million older adults live in nursing homes. The majority of nursing home residents have
moderate or severe cognitive impairment. Cognitive impairment can negatively impact a variety of health
outcomes. The federal Precision Medicine initiative highlights the need to identify specific subgroups that
respond to tailored interventions and ultimately provide clinicians with knowledge and tools necessary to select
treatments that work best for the unique needs of an individual patient. Using a comprehensive longitudinal
dataset, the proposed research will employ a novel analytic approach to evaluate the role of cognitive
impairment on a selected common condition in nursing home residents -- depression. The heterogeneous
symptoms of depression can indeed impair cognitive functioning. Depression treatment has been identified by
the National Institute on Aging as a way to potentially prevent cognitive impairment and promote healthy aging.
We propose using the national federally-mandated Minimum Data Set (MDS) 3.0 linked to Medicare Part A and
D claims data to: 1) identify subgroups of depression among nursing home residents and evaluate if these
subgroups differ by cognitive impairment status; 2) characterize how these subgroups change throughout the
nursing home stay and estimate the extent to which these changes differ by level of cognitive impairment; and
3) estimate the extent to which antidepressant treatment effects vary across identified subgroups of depression
and levels of cognitive impairment. Latent class and latent transition analyses with causal inference methods
will be used. This proposal addresses the National Institute on Aging’s strategic research directions on how to
improve the health and well-being of adults as they age by developing interventions for preventing or reducing
the burden of age-related conditions (Goal C) and increasing knowledge of the aging brain and
neurodegeneration (Goal D). This exploratory research will provide valuable information to inform precision
medicine efforts and improve the processes of care to a population most in need.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1080/13607863.2020.1849021
发表时间:
2021-10
期刊:
Aging & mental health
影响因子:
3.4
作者:
[Yuan Y, Lapane KL, Rothschild AJ, Ulbricht CM]
通讯作者:
Ulbricht CM
DOI:
10.1002/gps.5301
发表时间:
2020-07
期刊:
International journal of geriatric psychiatry
影响因子:
4
作者:
[Yuan Y, Min HS, Lapane KL, Rothschild AJ, Ulbricht CM]
通讯作者:
Ulbricht CM
Variations in nursing home residents' depression by level of cognitive impairment
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批准号:9374466
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项目类别:
-
资助金额:$25.13万
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财政年份:2017
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负责人:Christine Marie Ulbricht
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依托单位: