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Utilization of routinely collected administrative data in monitoring the incidence of aging dependent hip fracture

机译:利用常规收集的管理数据监测衰老性髋部骨折的发生率

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摘要

Societies are facing challenges as the public health burden increases in tandem with population aging. Local information systems are needed that would allow a continuous monitoring of the incidence and effectiveness of treatments. This study investigates the possibilities of routinely collected administrative data as a data source for hip fracture incidence monitoring in Finland.The study demonstrates that a straightforward use of register data results in biased estimates for the numbers of hip fractures. An interpretation of hip fractures from the population aging point of view offers an alternative perspective for hip fracture incidence calculation. This enables development of a generalizable method for probabilistic detection of starting points of hip fracture care episodes. Several risk factor and risk population extraction techniques required in register-based data analyses are also demonstrated. Finally, it is shown that empirical evidence suggests that hip fracture incidence is proportional to population level disability prevalence.In conclusion, Finnish administrative data makes it possible to derive data for rather detailed population level risk factor stratification. Certain limitations of register-based data can be partly avoided by synthesizing data-sensitive methodological solutions during the analysis process.
机译:随着公共卫生负担随着人口老龄化而增加,社会正面临挑战。需要地方信息系统,以便能够连续监测治疗的发生率和有效性。这项研究调查了常规收集的行政管理数据作为芬兰髋部骨折发病率监测数据源的可能性。该研究表明,直接使用注册数据会导致髋部骨折数量的估计偏差。从人口老龄化角度解释髋部骨折为髋部骨折发生率的计算提供了另一种视角。这使得能够开发用于概率性检测髋部骨折护理发作起点的通用方法。还展示了基于寄存器的数据分析中所需的几种风险因素和风险人群提取技术。最后,研究表明,经验证据表明髋部骨折的发生率与人群中的残疾患病率成正比。总之,芬兰的行政管理数据可以为人群中详细的人群危险因素分层提供数据。通过在分析过程中综合数据敏感的方法解决方案,可以部分避免基于寄存器的数据的某些局限性。

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