Bott Oliver J, Hoffmann Ina, Bergmann Joachim, Kosche Patrick, von Ahn Christian, Mattfeld Dirk C, Schnell Oliver, Pretschner Dietrich P
Institute for Medical Informatics, Technical University of Braunschweig, Germany.
Stud Health Technol Inform. 2006;124:435-40.
INCA (Intelligent Control Assistant for Diabetes) is a project funded by the EU with the objective to improve diabetes therapy by creating a personal closed loop system interacting with telemedical remote control. Cost-benefit analyses of such systems are needed to decide on the introduction of telemedical systems such as the INCA system to routine care.
To identify and apply suitable methods for a cost-benefit analysis from the perspective of the payor for health services (i.e. a health insurance company).
For the cost analysis MOSAIK-M was used, a method and tool that supports health information systems analysis and design. Two MOSAIK-M models were created during the INCA project. Both, the "As is"-model of conventional insulin pump based diabetes care, and the "To be"-model of the INCA system were parameterised with cost values. With both models a period of one year was simulated to determine the yearly costs of diabetes management and treatment for a patient who does not suffer from diabetes related complications yet. The HbA1c-value was chosen as effectiveness parameter for diabetes therapy. To determine the probability of developing complications and their probable duration the Archimedes-Model was used. It was parameterised with selected HbA1c-values anticipating the effect of INCA. The simulation results in form of years of disease within a 30-years time frame were multiplied with corresponding treatment costs from the KoDiM study.
The yearly costs of conventional insulin pump treatment for a 19 year old diabetes type 1 patient with no complications are 5,907 euro (German health care system). Using the INCA system would raise the yearly costs by 7,348 euro. Almost all (98.53%) of the additional costs are generated by the continuous blood glucose measurement device. HbA1c-decreases from 7% (conventional treatment) to 6.5%, 6%, and 5.8 % would produce yearly savings (benefit) concerning the treatment of complications of 100.50 euro, 189.20 euro and 221.82 euro.
The selected approach produces an estimation of a lower bound for cost savings. Further work is needed to improve the approximation and to include indirect and intangible costs. The INCA approach would be cost efficient from the chosen perspective, only if the costs of system operation were notably lowered.
INCA(糖尿病智能控制助手)是一个由欧盟资助的项目,目标是通过创建一个与远程医疗遥控交互的个人闭环系统来改善糖尿病治疗。需要对这类系统进行成本效益分析,以便决定是否将诸如INCA系统之类的远程医疗系统引入常规护理。
从卫生服务支付方(即健康保险公司)的角度确定并应用适合成本效益分析的方法。
成本分析使用了MOSAIK-M,这是一种支持健康信息系统分析与设计的方法和工具。在INCA项目期间创建了两个MOSAIK-M模型。基于传统胰岛素泵的糖尿病护理的“现状”模型和INCA系统的“未来”模型都用成本值进行了参数化。使用这两个模型模拟了一年时间,以确定一名尚未患有糖尿病相关并发症的患者糖尿病管理和治疗的年度成本。选择糖化血红蛋白(HbA1c)值作为糖尿病治疗的有效性参数。为了确定发生并发症的概率及其可能持续时间,使用了阿基米德模型。该模型用选定的HbA1c值进行参数化,预期INCA的效果。在30年时间框架内以疾病年数形式呈现的模拟结果与来自KoDiM研究的相应治疗成本相乘。
对于一名无并发症的19岁1型糖尿病患者,传统胰岛素泵治疗的年度成本为5907欧元(德国医疗保健系统)。使用INCA系统将使年度成本增加7348欧元。几乎所有(98.53%)的额外成本由连续血糖测量设备产生。糖化血红蛋白从7%(传统治疗)降至6.5%、6%和5.8%,将分别在并发症治疗方面产生每年100.50欧元、189.20欧元和221.82欧元的节省(效益)。
所选方法得出了成本节省下限的估计值。需要进一步开展工作以改进近似度并纳入间接和无形的成本。仅当系统运行成本显著降低时,从所选角度来看INCA方法才具有成本效益。