Menditto Enrica, Bolufer De Gea Angela, Cahir Caitriona, Marengoni Alessandra, Riegler Salvatore, Fico Giuseppe, Costa Elisio, Monaco Alessandro, Pecorelli Sergio, Pani Luca, Prados-Torres Alexandra
School of Pharmacy, CIRFF/Center of Pharmacoeconomics, University of Naples Federico II, Naples, Italy.
Directorate-General for Health and Food Safety, European Commission, Brussels, Belgium.
Clinicoecon Outcomes Res. 2016 Jun 13;8:253-65. doi: 10.2147/CEOR.S97548. eCollection 2016.
Computerized health care databases have been widely described as an excellent opportunity for research. The availability of "big data" has brought about a wave of innovation in projects when conducting health services research. Most of the available secondary data sources are restricted to the geographical scope of a given country and present heterogeneous structure and content. Under the umbrella of the European Innovation Partnership on Active and Healthy Ageing, collaborative work conducted by the partners of the group on "adherence to prescription and medical plans" identified the use of observational and large-population databases to monitor medication-taking behavior in the elderly. This article describes the methodology used to gather the information from available databases among the Adherence Action Group partners with the aim of improving data sharing on a European level. A total of six databases belonging to three different European countries (Spain, Republic of Ireland, and Italy) were included in the analysis. Preliminary results suggest that there are some similarities. However, these results should be applied in different contexts and European countries, supporting the idea that large European studies should be designed in order to get the most of already available databases.
计算机化医疗保健数据库已被广泛描述为开展研究的绝佳机会。“大数据”的可用性在进行卫生服务研究时引发了一波项目创新浪潮。大多数现有的二手数据源仅限于特定国家的地理范围,且结构和内容各异。在欧洲积极和健康老龄化创新伙伴关系的框架下,“坚持处方和医疗计划”小组的合作伙伴开展的合作工作确定了利用观察性和大规模人群数据库来监测老年人的用药行为。本文介绍了在坚持行动小组合作伙伴中从现有数据库收集信息所采用的方法,目的是改善欧洲层面的数据共享。分析共纳入了来自三个不同欧洲国家(西班牙、爱尔兰共和国和意大利)的六个数据库。初步结果表明存在一些相似之处。然而,这些结果应在不同背景和欧洲国家应用,这支持了应设计大型欧洲研究以便充分利用现有数据库这一观点。