Health state utility values of type 2 diabetes mellitus and related complications: a systematic review and meta-regression.

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Yubo Wang, Yueru Xu, Huiting Shan, Huimin Pan, Ji Chen, Jianhua Yang
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Abstract

Background: This study aimed to synthesize and quantitatively examine Health State Utility Values (HSUVs) for Type 2 Diabetes Mellitus (T2DM) and its complications, providing a robust meta-regression framework for selecting appropriate HSUV estimates.

Method: We conducted a systematic review to extract HSUVs for T2DM and its complications, encompassing various influencing factors. Relevant literature was sourced from a review spanning 2000-2020, supplemented by literature from PubMed, Embase, and the Web of Science (up to March 2024). Multivariate meta-regression was performed to evaluate the impact of measurement tools, tariffs, health status, and clinical and demographic variables on HSUVs.

Results: Our search yielded 118 studies, contributing 1044 HSUVs. The HSUVs for T2DM with complications varied, from 0.65 for cerebrovascular disease to 0.77 for neuropathy. The EQ-5D-3L emerged as the most frequently employed valuation method. HSUV differences across instruments were observed; 15-D had the highest (0.89), while HUI-3 had the lowest (0.70) values. Regression analysis elucidated the significant effects of instrument and tariff choice on HSUVs. Complication-related utility decrement, especially in diabetic foot, was quantified. Age <70 was linked to increased HSUVs, while longer illness duration, hypertension, overweight and obesity correlated with reduced HSUVs.

Conclusion: Accurate HSUVs are vital for the optimization of T2DM management strategies. This study provided a comprehensive data pool for HSUVs selection, and quantified the influence of various factors on HSUVs, informing analysts and policymakers in understanding the utility variations associated with T2DM and its complications.

2 型糖尿病及相关并发症的健康状态效用值:系统回顾与元回归。
背景:本研究旨在综合并定量研究 2 型糖尿病(T2DM)及其并发症的健康状态效用值(HSUV),为选择合适的 HSUV 估计值提供一个稳健的元回归框架:我们对 T2DM 及其并发症的 HSUV 进行了系统回顾,其中包括各种影响因素。相关文献来源于 2000-2020 年的综述,并以 PubMed、Embase 和 Web of Science(截至 2024 年 3 月)中的文献作为补充。我们进行了多变量元回归,以评估测量工具、关税、健康状况以及临床和人口统计学变量对 HSUVs 的影响:结果:我们的搜索共获得 118 项研究,贡献了 1044 个 HSUVs。T2DM 并发症的 HSUVs 各不相同,从脑血管疾病的 0.65 到神经病变的 0.77。EQ-5D-3L 是最常用的评估方法。不同工具的 HSUV 值存在差异;15-D 的 HSUV 值最高(0.89),而 HUI-3 的 HSUV 值最低(0.70)。回归分析阐明了工具和关税选择对 HSUV 的显著影响。与并发症相关的效用下降也得到了量化,尤其是在糖尿病足方面。年龄 结论:准确的 HSUV 对 T2DM 管理策略的优化至关重要。本研究为 HSUVs 的选择提供了一个全面的数据池,并量化了各种因素对 HSUVs 的影响,为分析人员和政策制定者了解 T2DM 及其并发症相关的效用变化提供了信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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