数据来源简介:COVid疫苗对老年人的影响(COVVAXAGE)

Kaleen Hayes, Daniel Harris, Andrew Zullo, Djeneba Audrey Djibo, Renae L. Smith-Ray, Michael S. Taitel, Tanya G. Singh, Cheryl McMahill-Walraven, Preeti Chachlani, Katherine Wen, Ellen P. McCarthy, Stefan Gravenstein, Sean McCurdy, Kristina E. Baird, Daniel Moran, Derek Fenson, Yalin Deng, Vincent Mor
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The data currently span 01/01/2016 to 08/31/2022. \"Research-ready\" files were created, with weekly indicators for vaccinations, censoring, death, enrollment, demographics, and comorbidities. Data are updated quarterly. ResultsAs of November 2022, records for 27,086,723 CVS Health and 23,510,025 Walgreens unique customer IDs were identified for potential linkage. Approximately 91% of customers were matched to a Medicare beneficiary ID (95% for those aged 65 years or older). In the final linked cohort, there were 38,250,873 unique beneficiaries representing ~60% of the Medicare population. Among those alive and enrolled in Medicare as of January 1, 2020 (n = 33,721,568; average age = 73 years, 74% White, 51% Medicare Fee-for-Service, and 11% dual-eligible for Medicaid), the average follow-up time was 130 weeks. The cohort contains 16,021,055 beneficiaries with evidence a first COVID-19 vaccine dose. Data are stored on the secure Medicare & Medicaid Resource Information Center Health & Aging Data Enclave. Data accessInvestigators with funded or in-progress funding applications to the National Institute on Aging who are interested in learning more about the database should contact Dr Vincent Mor [Vincent_mor@brown.edu] and Dr Kaleen Hayes [kaley_hayes@brown.edu]. A data dictionary can be provided under reasonable request. 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引用次数: 0

摘要

背景:为了更好地评估COVid -19疫苗在老年人和复杂多重疾病患者中的使用、安全性和有效性,通过将CVS Health和Walgreens药房的客户与医疗保险索赔联系起来,建立了COVid -19疫苗对老年人的影响(COVVAXAGE)数据库。方法我们确定地将CVS Health和Walgreens的客户与医疗保险登记和索赔记录联系起来,这些客户由医疗保险支付药房配药/就诊费用。关联数据包括美国医疗保险索赔、医疗保险登记文件和社区药房记录。目前的数据跨度为2016年1月1日至2022年8月31日。创建了“研究就绪”文件,每周都有疫苗接种、审查、死亡、登记、人口统计和合并症的指标。数据每季度更新一次。结果截至2022年11月,已识别出27,086,723 CVS Health和23,510,025 Walgreens唯一客户id的记录,以进行潜在的链接。大约91%的客户与医疗保险受益人身份证相匹配(95%的客户年龄在65岁或以上)。在最后的相关队列中,有38,250,873名独特的受益人,约占医疗保险人口的60%。在截至2020年1月1日活着并参加医疗保险的人中(n = 33,721,568;平均年龄= 73岁,74%白人,51%医疗保险服务收费,11%双重资格医疗补助),平均随访时间为130周。该队列包括16021055名受益人,有证据表明他们首次接种了COVID-19疫苗。数据存储在安全的医疗保险和;医疗补助资源信息中心老化的数据Enclave。数据访问已向国家老龄研究所申请资助或正在申请资助的研究人员,如有兴趣了解更多有关该数据库的信息,请联系Vincent Mor博士[Vincent_mor@brown.edu]和Kaleen Hayes博士[kaley_hayes@brown.edu]。如有合理要求,可提供数据字典。COVVAXAGE队列是一个庞大且多样化的队列,可用于持续评估COVID-19疫苗使用情况以及与Medicare人群相关的其他研究问题。
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Data Resource Profile: COVid VAXines Effects on the Aged (COVVAXAGE)
BackgroundTo improve the assessment of COVID-19 vaccine use, safety, and effectiveness in older adults and persons with complex multimorbidity, the COVid VAXines Effects on the Aged (COVVAXAGE) database was established by linking CVS Health and Walgreens pharmacy customers to Medicare claims. MethodsWe deterministically linked CVS Health and Walgreens customers who had a pharmacy dispensation/encounter paid for by Medicare to Medicare enrollment and claims records. Linked data include U.S. Medicare claims, Medicare enrollment files, and community pharmacy records. The data currently span 01/01/2016 to 08/31/2022. "Research-ready" files were created, with weekly indicators for vaccinations, censoring, death, enrollment, demographics, and comorbidities. Data are updated quarterly. ResultsAs of November 2022, records for 27,086,723 CVS Health and 23,510,025 Walgreens unique customer IDs were identified for potential linkage. Approximately 91% of customers were matched to a Medicare beneficiary ID (95% for those aged 65 years or older). In the final linked cohort, there were 38,250,873 unique beneficiaries representing ~60% of the Medicare population. Among those alive and enrolled in Medicare as of January 1, 2020 (n = 33,721,568; average age = 73 years, 74% White, 51% Medicare Fee-for-Service, and 11% dual-eligible for Medicaid), the average follow-up time was 130 weeks. The cohort contains 16,021,055 beneficiaries with evidence a first COVID-19 vaccine dose. Data are stored on the secure Medicare & Medicaid Resource Information Center Health & Aging Data Enclave. Data accessInvestigators with funded or in-progress funding applications to the National Institute on Aging who are interested in learning more about the database should contact Dr Vincent Mor [Vincent_mor@brown.edu] and Dr Kaleen Hayes [kaley_hayes@brown.edu]. A data dictionary can be provided under reasonable request. ConclusionsThe COVVAXAGE cohort is a large and diverse cohort that can be used for the ongoing evaluation of COVID-19 vaccine use and other research questions relevant to the Medicare population.
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