Microsimulation modeling to support behavioral interventions in AD/ADRD for patients and their caregivers
Microsimulation modeling to support behavioral interventions in AD/ADRD for patients and their caregivers
批准号:
10288415
负责人:
JASON N. DOCTOR
金额:
$41.25万
依托单位国家:
美国
项目类别:
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-09-30 至 2024-05-31
关键词:
AgingAlzheimer&aposs disease related dementiaAreaBehavior TherapyBehavioralBehavioral ModelCaregiver supportCaregiversCaringCharacteristicsCognitiveDementiaDevelopmentEconomicsElderlyFundingFutureHourInterventionMedicalModelingPatientsPoliciesPolicy MakerPopulationPsychologyQuality of lifeQuality-of-Life AssessmentStagingSymptomsTranslatingbehavioral economicseffective therapygroup interventionimprovedinsightmodels and simulationpopulation healththerapy development
中文摘要
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英文摘要
ABSTRACT
The overall purpose of the Roybal Center for Behavioral Interventions in Aging is to strengthen
the ability of clinicians everywhere to recommend the safest and most effective treatments for
their patients through behavioral economic interventions. The specific aims of the Center are to:
(1) Conduct behavioral intervention development and implementation to encourage appropriate
medical treatment decisions through the use of behavioral insights from psychology and
economics; (2) Inform the selection of these interventions with the greatest potential to impact
population health through the use of simulation models, and (3) Translate these findings for policy
makers who influence aging policy. The proposed supplemental funding will support leveraging
and extending the Future Elderly Model's capabilities for modeling the impact of Alzheimer's
disease and related dementias for both patients and their caregivers, in order to identify areas of
greatest potential impact. This, in turn, could influence the development and implementation of
targeted behavioral interventions. The proposed modeling expansion extends the modeling of
behavioral, cognitive, and functional domains, incorporates staging of dementia, and improves
the approach to quality of life assessment. Caregiver modeling is enhanced to better reflect care
hours and quality of life impacts. This modeling framework then allows for the identification of
high-value areas for intervention, be they nudging towards following best practices for prescribing,
managing particular patient symptoms, targeting particular populations facing the highest quality-
of-life burden, or improving support for caregivers.
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