The Burden of Comorbid Depression and Type 2 Diabetes: An Empirical Study Using Commercial Insurance Data

合并抑郁症和2型糖尿病的负担:一项基于商业保险数据的实证研究

阅读:2

Abstract

INTRODUCTION: Despite rising rates of depression and diabetes, assessments of depression's burden on diabetes management and its economic burden remain limited. In this study, we evaluate the burden of depression on diabetes management and quantify the financial implications of comorbid depression and diabetes. METHODS: We performed propensity score matching on Texas commercial claims data (2016-2019) to match type 2 diabetes patients with depression (n = 613) to those without (n = 583). Depression flagged in 2016/2017 indicated initial depression, and an A1C level of ≥8% in 2018/2019 indicated follow-up uncontrolled diabetes. Healthcare costs included total, diabetes-related, outpatient, and inpatient costs incurred during 2018/2019. RESULTS: A depression flag in the initial period was linked to a 2.7 percentage point increase (P = .031) in the probability of having an A1C level of ≥8% in the follow-up, compared to individuals without a depression flag. Having both a depression flag and uncontrolled A1C in the initial period was associated with $2,037 higher total medical costs (P = .004), $494 higher diabetes-related costs (P = .020), and $336 higher outpatient costs (P = .008) in the follow-up, compared to the respective averages of $6,900, $474, and $583 for individuals without a depression flag or uncontrolled A1C. CONCLUSIONS: Our findings highlight the detrimental effect of depression on uncontrolled diabetes and the subsequent increase in healthcare costs. Further research is warranted to determine the effectiveness of proactive treatments for depression in managing diabetes, improving glycemic control, and reducing healthcare costs.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。