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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
患有青光眼的医疗保险受益人的医疗保健利用和不良后果的社会人口学预测因素
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

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中文摘要
翻译
项目总结/摘要 青光眼患者发生不良健康相关结局的风险增加,包括福尔斯、损伤, 股骨骨折和抑郁症在美国,种族和社会经济(SES)差异存在于 青光眼患病率、视力损害和眼部护理利用。然而,我们不知道这些差异是否 导致不同群体之间视力和健康相关结果的差异。此外,虽然 众所周知,老年人的虚弱会影响发病率、死亡率和医疗费用, 在老年青光眼患者中,虚弱与医疗保健利用和结果之间的关系尚未得到证实。 探讨了我们假设,在使用眼科护理服务方面存在可检测的差异, 基于种族和社会经济地位的老年青光眼患者的视力和健康相关结果。我们进一步 假设虚弱评分较高和合并症较多的老年人不太可能使用眼部护理 青光眼患者的视力和健康相关结果会更差。为了解决这些假设, 我们将分析2014-2016年5%的医疗保险受益人样本的现有数据。我们将集合 一组青光眼患者以及一组匹配的对照组。我们的分析旨在回答3 具体目标:1)老年青光眼患者的眼部护理利用是否存在种族、SES 社会人口特征和脆弱之间是否存在相互作用?2)青光眼 根据种族、SES和虚弱程度,属于弱势人群的患者更有可能发生不良反应, 视力相关的结果?最后,3)在健康利用和不良后果方面, 青光眼患者根据他们的种族和社会经济地位?我们假设青光眼对整体的影响 发病率和功能分布不均,弱势群体面临更大风险或健康状况不佳 结果。这里概述的研究将提高我们对因素复杂相互作用的理解 导致青光眼护理和结果的差异。这项研究将使我们能够确定护理方面的差距 并确定可能的干预领域。
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
Glaucoma Risk Prediction Using Machine Learning Integration of Image-Based Phenotypes and Genetic Associations
Glaucoma Risk Prediction Using Machine Learning Integration of Image-Based Phenotypes and Genetic Associations
Glaucoma Risk Prediction Using Machine Learning Integration of Image-Based Phenotypes and Genetic Associations
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