2型糖尿病患者强化疾病管理系统的经济评价

David R Lairson, Seok-Jun Yoon, Patrick M Carter, Anthony J Greisinger, Krishna C Talluri, Manish Aggarwal, Oscar Wehmanen
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引用次数: 18

摘要

我们评估了疾病管理(DM)项目对2型糖尿病患者遵守推荐的实验室检查、健康结果和医疗保健支出的影响。该研究是在初级保健环境中进行的自然实验,其中对一组进行干预,然后与匹配的对照组的经验进行比较。在12个月的干预期后,采用单因素分析和差异中的差异分析来检验两组之间是否存在显著差异。一个付款人的观点是用来估计基于医院和医生利用医疗保险价格加权的医疗保健成本后果。结果在0.10水平上不显著,除了符合推荐的测试,在单变量分析中显示显著结果。干预提高了HbA1c、微量蛋白尿和脂质检测的依从性,降低了HbA1c值和HbA1c >或=9.5%的患者百分比。点估计显示,医疗保健费用略有下降;只有办公室访问费用的减少在0.10的水平上是显著的。我们的结论是,虽然依从性测试有改善的迹象,但低有效性可能归因于该初级保健机构现有的糖尿病管理活动,研究开始时测试的高依从率,以及这种复杂的基于信息技术的糖尿病系统的陡峭学习曲线。该研究提出了关于复杂系统方法对DM的增量收益的问题,并说明了在“现实世界”条件下评估DM计划的严格方法,并控制了可能的选择偏差。
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Economic evaluation of an intensified disease management system for patients with type 2 diabetes.

We evaluated the effect of a disease management (DM) program on adherence with recommended laboratory tests, health outcomes, and health care expenditures for patients with type 2 diabetes. The study was a natural experiment in a primary care setting in which the intervention was available to 1 group and then compared to the experience of a matched control group. Univariate analysis and difference in differences analysis were used to test for any significant differences between the 2 groups following a 12-month intervention period. A payer perspective was used to estimate the health care cost consequences based on hospital and physician utilization weighted by Medicare prices. The results were nonsignificant at the .10 level, except for compliance with recommended tests, which showed significant results in the univariate analysis. The intervention increased compliance with testing for HbA1c, microalbuminuria, and lipids, and decreased HbA1c value and the percent of patients with HbA1c >or=9.5%. The point estimates showed small reductions in health care cost; only reductions in costs for office visits were significant at the .10 level. We concluded that while there were signs of improvement in adherence to testing, the low effectiveness may be attributed to existing diabetes management activities in this primary care setting, high compliance rates for testing at the beginning of the study, and a steep learning curve for this complex, information-technology-based DM system. The study raises questions about the incremental gains from complex systems approaches to DM and illustrates a rigorous method to assess DM programs under "real-world" conditions, with control for possible selection bias.

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