Sussman Matthew, Sierra Joseph A, Garg Satish, Bode Bruce, Friedman Mark, Gill Max, Kaufman Francine, Vigersky Robert, Menzin Joseph
a Boston Health Economics, Inc. , Waltham , MA , USA.
b Medtronic Diabetes , Northridge , CA , USA.
J Med Econ. 2016 Nov;19(11):1099-1106. doi: 10.1080/13696998.2016.1201090. Epub 2016 Jul 7.
The objective of this study was to assess the cost of hypoglycemic events among insulin-treated patients with diabetes and the potential cost savings to a hypothetical US health plan and employer of reducing hypoglycemic events with a device intervention.
A cost-calculator model was developed to estimate the direct costs of hypoglycemic events, accounting for diabetes type, age, and event severity. Model inputs were derived from published incidence rates of hypoglycemic events and direct medical costs. Assumed intervention efficacy was based on published studies of an emerging technology which yielded 72.2% (LGS Trial; ACTRN12610000024044) and 31.8% (ASPIRE Trial; NCT01497938) reductions in severe and non-severe hypoglycemic events, respectively. Model outcomes-including the number of severe (requiring medical assistance) and non-severe events, and direct/indirect medical costs (excluding intervention costs)-were evaluated over a 1-year period for a hypothetical health plan and employer perspectives.
In a health plan with 10 million enrollees, patients without the intervention would have experienced 0.09 and 14.60 severe and non-severe hypoglycemic events per patient per year (PPPY), respectively (vs 0.02 severe and 9.96 non-severe events with the intervention). This translated into total direct medical cost savings of $45 million ($177 PPPY) for the health plan. For an employer with 100,000 employees, the intervention would have yielded additional savings of $492 PPPY in indirect costs.
Insulin-treated patients experience hypoglycemic events, which are associated with substantial direct and indirect medical costs. The cost savings of reducing hypoglycemic events need to be weighed against the costs of using diabetes device interventions.
本研究的目的是评估糖尿病胰岛素治疗患者低血糖事件的成本,以及假设的美国健康计划和雇主通过设备干预减少低血糖事件可能节省的成本。
开发了一个成本计算器模型,以估计低血糖事件的直接成本,同时考虑糖尿病类型、年龄和事件严重程度。模型输入数据来自已发表的低血糖事件发病率和直接医疗成本。假设的干预效果基于一项新兴技术的已发表研究,该技术分别使严重和非严重低血糖事件减少了72.2%(LGS试验;ACTRN12610000024044)和31.8%(ASPIRE试验;NCT01497938)。从假设的健康计划和雇主角度,在1年期间评估模型结果,包括严重(需要医疗救助)和非严重事件的数量,以及直接/间接医疗成本(不包括干预成本)。
在一个有1000万参保人的健康计划中,未接受干预的患者每年每人将分别经历0.09次严重和14.60次非严重低血糖事件(每人每年)(相比之下,接受干预的患者为0.02次严重和9.96次非严重事件)。这为健康计划带来了总计4500万美元的直接医疗成本节省(每人每年177美元)。对于一个有10万名员工的雇主,该干预措施将在间接成本方面额外节省每人每年492美元。
胰岛素治疗的患者会经历低血糖事件,这与大量的直接和间接医疗成本相关。减少低血糖事件的成本节省需要与使用糖尿病设备干预的成本进行权衡。