国家卫生服务提供的医疗保健的真实世界评估:区域海狸研究平台的网络

Q3 Nursing
F. Rea, Pietro Pugni, D. Pescini, L. Palmieri, S. Giampaoli, F. Carle, G. Corrao
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引用次数: 0

摘要

真实世界的证据可以提供关于医疗保健利用和适当性、上市后药物安全性和比较有效性以及医疗保健途径的成本效益概况的答案。医疗保健利用数据库可能与药物和疾病登记、电子医疗记录、调查和队列数据(即真实世界的数据)相结合,可以追踪国民保健服务受益者留下的医疗保健“足迹”。Beaver是一个可按需提供给意大利地区的研究平台,我们开发了该平台,用于计算医疗保健利用和临床结果指标,以及生成有效性和成本效益概况的证据。可以采用两种不同的解决方案。首先,所谓的Beaver Light前端允许自动计算遵守官方指导方针的健康指标。第二,所谓的Beaver Full前端包括一个完全由研究方案驱动的八步程序。为了执行欧洲议会和理事会以及意大利当局最近发布的关于保护个人数据的指令,该平台位于每个区域的基础设施中,从而限制了电子卫生数据的自由流动。事实上,地区当局应负责数据安全和允许数据可访问性。使用标准化和经过验证的算法可以获得区域估计,这些估计是通过使用包含以标准化程序提取的数据的区域平台获得的,可以通过使用常见的元分析技术进行比较和可能的总结。总之,Beaver区域平台是一个有前途的工具,可能有助于刺激意大利的医疗保健研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-world assessment of healthcare provided by the National Health Service: The network of regional Beaver research platforms
Real-world evidence can provide answers on healthcare utilization and appropriateness, post-marketing drugs safety and comparative effectiveness, and cost-effectiveness profiles of healthcare pathways. Healthcare utilization databases, possibly integrated with drug and disease registries, electronic medical records, survey and cohort data (i.e. real-world data), allow to trace healthcare ‘footprints’ left from beneficiaries of National Health Service. Beaver is a research platform available on demand to Italian regions which we developed for computing indicators of healthcare utilization and clinical outcomes, as well as for generating evidence on effectiveness and cost-effectiveness profile. Two distinct solutions may be adopted. One, the so-called Beaver Light front-end allows to automatically compute health indicators of adherence to official guidelines. Two, the so-called Beaver Full front-end involves an eight-step procedure entirely driven by the study protocol. In order to fulfil the directives recently issued by the European Parliament and Council and the Italian Authority for the protection of individual data, the platform resides in each region’s infrastructure, so limiting the free movement of electronic health data. Indeed, regional authorities should be responsible for data safety and for allowing data accessibility. The use of standardized and validated algorithms enables to obtain regional estimates that, being obtained by employing regional platforms containing data extracted with standardized procedure, may be compared and possibly summarized by using common meta-analytic techniques. In conclusion, the Beaver regional platform is a promising tool which may contribute to stimulate healthcare research in Italy.
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来源期刊
Epidemiology Biostatistics and Public Health
Epidemiology Biostatistics and Public Health PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
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期刊介绍: Epidemiology, Biostatistics, and Public Health (EBPH) is a multidisciplinary journal that has two broad aims: -To support the international public health community with publications on health service research, health care management, health policy, and health economics. -To strengthen the evidences on effective preventive interventions. -To advance public health methods, including biostatistics and epidemiology. EBPH welcomes submissions on all public health issues (including topics like eHealth, big data, personalized prevention, epidemiology and risk factors of chronic and infectious diseases); on basic and applied research in epidemiology; and in biostatistics methodology. Primary studies, systematic reviews, and meta-analyses are all welcome, as are research protocols for observational and experimental studies. EBPH aims to be a cross-discipline, international forum for scientific integration and evidence-based policymaking, combining the methodological aspects of epidemiology, biostatistics, and public health research with their practical applications.
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