国家健康老龄化中心数据平台:建立电子健康记录衍生的关联地理队列。

IF 1.6 Q3 HEALTH CARE SCIENCES & SERVICES International Journal of Population Data Science Pub Date : 2022-08-25 DOI:10.23889/ijpds.v7i3.1949
Nadine E. Andrew, R. Beare, Tanya Ravipati, E. Parker, T. Collyer, David Ung, V. Srikanth
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引用次数: 1

摘要

目的电子健康记录(EHR)数据为研究创造了独特的机会。然而,这些数据没有经过管理、孤立且整合不良。我们描述了来自整个卫生服务的电子病历数据与政府数据集的联系,以在澳大利亚国家健康老龄化中心(NCHA)内建立一个联系的地理队列。方法:从半岛健康中心(NCHA合作伙伴)的数据系统中根据已发表的研究、可用性和质量确定适合的电子病历项目。项目通过最终用户德尔菲过程来确定核心研究项目(共识=70%)。获得澳大利亚卫生和福利研究所(AIHW)的批准,通过AIHW的脊柱与医疗保险、药物分配、老年护理和死亡登记数据建立联系,使用医疗保险消费者目录(MCD)的标识符创建;以及从维多利亚数据链接中心获得与全州医院数据的链接。年龄≥60岁参加半岛健康中心的当地居民的标识符被提交进行概率数据链接。结果德尔菲调查对象包括来自8个领域/科室的10名研究人员和来自11个临床领域的13名临床医生。迄今为止,已审查了11个数据集中的7个。N=107个潜在合适的数据项被确定,96个获得共识,纳入核心数据集。在提交链接的49,767名卫生服务用户(集:2010年1月至2021年12月至5月)中,98.4%成功链接到MCD(中位年龄72.2岁,52.2%为女性,1.8%为地区居民)。在MCD中确定了生活在该地理区域但未包含在电子病历数据集中的另外172290个人,以便与政府数据集联系。链接准确性受到不准确/不完整的地址字段(约30%)和缺乏遵守EHR数据中的命名约定的影响。结论与EHR数据的链接是复杂的。建立EHR研究数据集将提高数据链接的可行性和未来在NCHA内扩展链接的潜力。一旦合并,这些数据将用于支持与衰老和痴呆症相关的一系列研究活动。
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The National Centre for Healthy Ageing data platform: establishing an Electronic Health Record derived linked geographic cohort.
ObjectivesElectronic Health Record (EHR) data have created unique opportunities for research. However, these data are: not curated, siloed and poorly integrated. We describe linkage of EHR data from an entire health service with government datasets to establish a linked geographic cohort within the Australian National Centre for Healthy Ageing (NCHA). ApproachResearch suitable EHR items were identified from Peninsula Health (NCHA partner) data systems based on: published research, availability and quality. Items underwent end-user Delphi processes to identify core research items (consensus=70%). Approvals were obtained from the Australian Institute of Health and Welfare (AIHW) for linkage with: Medicare, medication dispensings, Aged Care and death registry data through the AIHW spine, created using identifiers from the Medicare Consumer Directory (MCD); and from the Centre for Victorian Data Linkage for linkage to state-wide hospital data. Identifiers for local residents aged ≥60 years who attended Peninsula Health were submitted for probabilistic data linkage. ResultsDelphi participants included 10 researchers from 8 fields/departments and 13 clinicians from 11 clinical areas. To date 7 of the 11 datasets have been reviewed. N=107 potentially suitable data items were identified and 96 gained consensus for inclusion in the core dataset. Of the 49,767 Health Service users (episodes: Jan 2010-Dec May 2021) submitted for linkage, 98.4% were successfully linked to the MCD (Median age 72.2 years, 52.2% female, 1.8% regional residence). An additional 172,290 individuals living within the geographic region but not contained within the EHR dataset were identified in the MCD for linkage to the government datasets. Linkage accuracy was impacted by inaccurate/incomplete address fields (~30%) and lack of adherence to naming conventions within the EHR data. ConclusionLinking with EHR data is complex. Having an established EHR research dataset will improve the feasibility of data linkage and potential for future expansion of linkages within the NCHA. Once merged, the data will be used to underpin a range of research activities related to ageing and dementia.
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