Sociodemographic predictors of healthcare utilization and adverse outcomes in Medicare beneficiaries with glaucoma
Sociodemographic predictors of healthcare utilization and adverse outcomes in Medicare beneficiaries with glaucoma
批准号:
10288961
负责人:
Nazlee Zebardast
金额:
$28.75万
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:
已结题
起止时间:
2021-09-30 至 2023-07-31
关键词:
AccidentsAddressAdmission activityAdverse eventAffectAfrican AmericanAgeAgingAreaBlindnessCOVID-19 pandemicCaringCharacteristicsChronicCodeCommunitiesComplexCurrent Procedural Terminology CodesDataDiagnosisElderlyEyeFemoral FracturesGenderGlaucomaHealthHealth Care CostsHealth PolicyHigh PrevalenceHispanicsHome Health AidesHospitalizationIndividualInpatientsInternational Classification of DiseasesInterventionLengthMeasuresMedicareMedicineMental DepressionMinorityModelingMorbidity - disease rateNursing HomesOperative Surgical ProceduresOphthalmic examination and evaluationOutcomePatientsPersonal SatisfactionPhysiologicalPopulationPrevalencePublic HealthQuality of lifeRaceResearchResearch PersonnelRiskRisk FactorsRuralSamplingSeveritiesSocioeconomic FactorsSocioeconomic StatusStructureSystemTestingTimeUnited StatesVisionVisual impairmentVulnerable PopulationsWorkadverse outcomebasebeneficiaryblack patientburden of illnesscare coordinationcare outcomescare providerscare systemscohortcomorbiditydensitydisabilityexperiencefall injuryfallsfollow-upfrailtyhealth care service utilizationhealth differenceimprovedimproved outcomeindexinglow socioeconomic statusmortalitypopulation basedracial disparityracial minorityrisk stratificationrural residencesexsocial deprivationsociodemographic predictorssociodemographicssocioeconomic disparitysocioeconomics
中文摘要
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英文摘要
PROJECT SUMMARY/ ABSTRACT
Patients with glaucoma experience an increased risk of adverse health-related outcomes, including falls, injuries,
femur fractures, and depression. In the United States, racial and socioeconomic (SES) disparities exist in
glaucoma prevalence, visual impairment, and eye-care utilization. However, we do not know if these disparities
result in differences in vision- and health-related outcomes between different groups. Furthermore, while it is
known that frailty among older adults has implications for morbidity, mortality, and healthcare costs, the
relationship between frailty and healthcare utilization and outcomes in older adults with glaucoma has not been
explored. We hypothesize that there are detectable differences on the use of eye care services and subsequently
in vision- and health-related outcomes among older adults with glaucoma based on race and SES. We further
hypothesize that older adults with a higher frailty score and more comorbidities will be less likely to use eye care
services and will have worse vision- and health-related outcomes from glaucoma. To address these hypotheses,
we will analyze the existing data from a 5% sample of Medicare beneficiaries from 2014-2016. We will assemble
a cohort of glaucoma patients as well as a matched control cohort. Our analyses are aimed at answering 3
specific aims: 1) are there differences in eyecare utilization among older glaucoma patients based on race, SES
and frailty and is there an interplay between sociodemographic characteristics and frailty? 2) Are glaucoma
patients belonging to vulnerable populations based on race, SES and frailty more likely to experience adverse
vision related outcomes? And finally 3) are there differences in health utilization and adverse outcomes among
glaucoma patients based on their race and SES? We hypothesize that the impact of glaucoma on overall
morbidity and function is unevenly distributed, with vulnerable populations carrying a greater risk or poor health
outcomes. The research outlined here will improve our understanding of the complex interplay of factors
contributing to disparities in glaucoma care and outcomes. This study will enable us to identify gaps in care
among vulnerable populations and identify possible areas for intervention.
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Sociodemographic predictors of healthcare utilization and adverse outcomes in Medicare beneficiaries with glaucoma
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批准号:10487442
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项目类别:
-
资助金额:$20.53万
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财政年份:2021
-
负责人:Nazlee Zebardast
-
依托单位:
Glaucoma Risk Prediction Using Machine Learning Integration of Image-Based Phenotypes and Genetic Associations
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批准号:10430101
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项目类别:
-
资助金额:$26.31万
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财政年份:2021
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负责人:Nazlee Zebardast
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依托单位:
Glaucoma Risk Prediction Using Machine Learning Integration of Image-Based Phenotypes and Genetic Associations
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批准号:10643937
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项目类别:
-
资助金额:$24.79万
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财政年份:2021
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负责人:Nazlee Zebardast
-
依托单位:
Glaucoma Risk Prediction Using Machine Learning Integration of Image-Based Phenotypes and Genetic Associations
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批准号:10191922
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项目类别:
-
资助金额:$26.31万
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财政年份:2021
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负责人:Nazlee Zebardast
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依托单位:
海外基金