Microscopic modelling of international (re-)hospitalisation effects in the CEPHOS-LINK setting

G. Zauner, C. Urach, M. Bicher, N. Popper, F. Endel
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Abstract

Re-hospitalisation rates have become popular as a quality indicator among healthcare researchers, and politicians for cost containment and quality improvement. Within the EU-FP7 project CEPHOS-LINK an agent-based model (ABM) is integrated for Austria, Slovenia, and Veneto region of Italy for answering questions regarding long time planning effects for psychiatric (re)-hospitalisation under special constraints using national routine databases combined by data pooling processes. The simulation framework is based on a modular concept with the core module GEPOC (generic population concept), developed within the DEXHELPP consortia project in Austria, parameterised for regional forecast. Demographic changes, their simulated effects on (re)-hospitalisation, changes in distance to service and the effect of changes in the diabetes mellitus prevalence are calculated as forecast for Austria, Slovenia, and Veneto region. Results are gathered on a personal level, depicted and described on age/gender groups. Furthermore the (re)-hospitalisations in each country are mapped to costs, based on purchasing power parity.
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国际(再)住院效应的微观模型在CEPHOS-LINK设置
再住院率作为一项质量指标,在医疗保健研究人员和政界人士中很受欢迎,用于控制成本和提高质量。在欧盟- fp7 CEPHOS-LINK项目中,为奥地利、斯洛文尼亚和意大利威尼托地区集成了一个基于主体的模型(ABM),用于使用国家常规数据库结合数据池过程回答有关在特殊限制下精神病(再)住院的长期规划效果的问题。模拟框架基于模块化概念,核心模块GEPOC(一般人口概念)是在奥地利DEXHELPP联盟项目中开发的,参数化用于区域预测。根据奥地利、斯洛文尼亚和威尼托地区的预测,计算人口变化及其对(再)住院的模拟影响、服务距离的变化和糖尿病患病率变化的影响。结果在个人层面上收集,并根据年龄/性别群体进行描述和描述。此外,根据购买力平价,每个国家的(再)住院费用被映射到成本上。
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