Angulo-Pueyo Ester, Comendeiro-Maaløe Micaela, Estupiñán-Romero Francisco, Martínez-Lizaga Natalia, Ridao-López Manuel, González-Galindo Javier, Launa-Garcés Ramón, Seral-Rodríguez Miriam, Bernal-Delgado Enrique
Institute for Health Sciences in Aragon (IACS), Aragon, 50009, Zaragoza, Spain.
Res Health Serv Reg. 2022 Jul 20;1(1):5. doi: 10.1007/s43999-022-00005-3.
Since the early 2000's, the Atlas of Variations in Medical Practice in the Spanish National Health System (namely, Atlas VPM) has been analysing and informing unwarranted variations in health care provision and outcomes in the Spanish Health System.Atlas VPM covers a two-fold perspective: a geographic one, where unwarranted variations would reflect the uneven exposure of the population to health care as a consequence of the place of residence; and, a provider-specific approach, where unwarranted variations would reflect differences in utilisation and outcomes that are at provider-level.Building on routine data (hospital and primary care electronic records, administrative data, geographic information, etc.) Atlas VPM has adapted the classical small area methods and has included a large panoply of techniques, such as Bayesian methods, hierarchical modelling or time-series forecasting.Led by the Data Science for Health Services and Policy Research group at the Institute for Health Sciences in Aragon, Atlas VPM implies a linkage and exchange process with the 17 Departments of Health of the Spanish regions where the research agenda is shared and research outcomes are translated into profiling and benchmarking interactive tools meant to facilitate clinical and policy decision-making.
自21世纪初以来，西班牙国家卫生系统医疗实践差异图谱（即图谱VPM）一直在分析并通报西班牙卫生系统中医疗服务提供和结果方面的不必要差异。图谱VPM涵盖两个层面的视角：一个是地理层面，不必要的差异反映出由于居住地点不同，人群获得医疗服务的机会不均等；另一个是针对医疗机构的方法，不必要的差异反映出医疗机构层面在医疗服务利用和结果方面的差异。基于常规数据（医院和初级保健电子记录、行政数据、地理信息等），图谱VPM对经典的小区域方法进行了调整，并纳入了大量技术，如贝叶斯方法、分层建模或时间序列预测。由阿拉贡健康科学研究所卫生服务与政策研究数据科学小组牵头，图谱VPM意味着与西班牙17个地区的卫生部进行联系和交流，共享研究议程，并将研究成果转化为剖析和基准交互式工具，以促进临床和政策决策。
