Exponent Inc, Menlo Park, CA, USA; Department of Health Services, Policy, and Practice, School of Public Health, Brown University, Providence, RI, USA.
Research Department, American Health Care Association and the National Center for Assisted Living, Washington, DC, USA.
J Am Med Dir Assoc. 2022 Dec;23(12):2031-2033. doi: 10.1016/j.jamda.2022.09.006. Epub 2022 Oct 6.
Despite important advances in the linkage of residents' Medicare claims and Minimum Data Set (MDS) information, the data infrastructure for long-term care remains inadequate for public health surveillance and clinical research. It is widely known that the evidence base supporting treatment decisions for older nursing home residents is scant as residents are systematically excluded from clinical trials. Electronic health records (EHRs) hold the promise to improve this population's representation in clinical research, especially with the more timely and detailed clinical information available in EHRs that are lacking in claims and MDS. The COVID-19 pandemic shined a spotlight on the data gap in nursing homes. To address this need, the National Institute on Aging funded the Long-Term Care (LTC) Data Cooperative, a collaboration among providers and stakeholders in academia, government, and the private sector. The LTC Data Cooperative assembles residents' EHRs from major specialty vendors and facilitates linkage of these data with Medicare claims to create a comprehensive, longitudinal patient record. These data serve 4 key purposes: (1) health care operations and population health analytics; (2) public health surveillance; (3) observational, comparative effectiveness research; and (4) clinical research studies, including provider and patient recruitment into Phase 3 and Phase 4 randomized trials. Federally funded researchers wanting to conduct pragmatic trials can now enroll their partnering sites in this Cooperative to more easily access the clinical data needed to close the evidence gaps in LTC. Linkage to Medicare data facilitates tracking patients' long-term outcomes after being discharged back to the community. As of August 2022, nearly 1000 nursing homes have joined, feedback reports to facilities are being piloted, algorithms for identifying infections are being tested, and proposals for use of the data have been reviewed and approved. This emerging EHR system is a substantial innovation in the richness and timeliness of the data infrastructure of the nursing home population.
尽管在将居民的医疗保险索赔和最低数据集 (MDS) 信息联系起来方面取得了重要进展,但长期护理的数据基础设施仍不足以进行公共卫生监测和临床研究。众所周知,支持老年疗养院居民治疗决策的证据基础很少,因为居民被系统地排除在临床试验之外。电子健康记录 (EHR) 有望改善这一人群在临床研究中的代表性,尤其是在 EHR 中提供了更及时和详细的临床信息,而这些信息在索赔和 MDS 中是缺乏的。COVID-19 大流行凸显了疗养院的数据差距。为了满足这一需求,美国国家老龄化研究所资助了长期护理 (LTC) 数据合作组织,这是学术界、政府和私营部门的提供者和利益相关者之间的合作。LTC 数据合作组织从主要的专业供应商那里收集居民的 EHR,并促进这些数据与医疗保险索赔的链接,以创建一个全面的、纵向的患者记录。这些数据有 4 个主要用途:(1) 医疗保健运营和人口健康分析;(2) 公共卫生监测;(3) 观察性、比较有效性研究;(4) 临床研究,包括为第 3 阶段和第 4 阶段随机试验招募提供者和患者。希望进行实用试验的联邦资助研究人员现在可以让他们的合作机构加入这个合作组织,以便更方便地获取开展研究所需的临床数据,从而填补长期护理方面的证据空白。与医疗保险数据的链接便于跟踪患者出院后回到社区的长期结果。截至 2022 年 8 月,近 1000 家疗养院已经加入,正在试点向设施提供反馈报告,正在测试识别感染的算法,并审查和批准了使用这些数据的提案。这个新兴的 EHR 系统是疗养院人群数据基础设施丰富性和及时性方面的重大创新。