Schnell Oliver, Erbach Michael
Forschergruppe Diabetes eV, Helmholtz Center Munich, Munich-Neuherberg, Germany
Sciarc Institute, Baierbrunn, Germany.
J Diabetes Sci Technol. 2014 May;8(3):479-82. doi: 10.1177/1932296813516206. Epub 2014 Feb 5.
Modeling approaches demonstrate that improvement in the accuracy of blood glucose (BG) meters may lead to cost savings. An improvement of accuracy of BG meters on the basis of a reduction in error range from 20% to 5% has been reported to be associated with substantial cost savings in Germany. The aim of this study is to analyze potential cost savings related to a reduction in error range from 20% to 15% and 10% of glucose meters in Germany. The health economic analysis included the number of type 1 diabetic and the number of insulin-treated patients in Germany, the costs for glucose monitoring, a model on the effects of the improvement of accuracy on the impact of severe hypoglycemic episodes, HbA1c, and subsequently myocardial infarctions and the costs of diabetes-related complications in Germany. In the model, a reduction of 1% and 3.5% reduction in severe hypoglycemic episodes, and a 0.14% and 0.28% reduction in HbA1c was included. In type 1 diabetes the savings could be equal to a reduction in health care expenditures of more than €1.0 million (20% vs 15% error range) and €3.4 million (20% vs 10% error range). Respectively, potential savings of more than €6.0 million and €20.1 million were calculated for the group of insulin-treated patients. The model demonstrates that a reduction of error range of BG meters from 20% to 15% and 10% may translate into substantial savings for the German health care system.
建模方法表明,血糖仪准确性的提高可能会带来成本节约。据报道,在德国,血糖仪误差范围从20%降至5%,其准确性的提高与大幅成本节约相关。本研究的目的是分析德国血糖仪误差范围从20%降至15%和10%所带来的潜在成本节约。健康经济分析包括德国1型糖尿病患者数量和胰岛素治疗患者数量、血糖监测成本、准确性提高对严重低血糖事件、糖化血红蛋白(HbA1c)影响的模型,以及随后心肌梗死和德国糖尿病相关并发症的成本。在该模型中,严重低血糖事件减少了1%和3.5%,HbA1c降低了0.14%和0.28%。在1型糖尿病中,节约的成本相当于医疗保健支出减少超过100万欧元(误差范围20%对15%)和340万欧元(误差范围20%对10%)。对于胰岛素治疗患者组,分别计算出潜在节约超过600万欧元和2010万欧元。该模型表明,血糖仪误差范围从20%降至15%和10%可能为德国医疗保健系统带来可观的节约。