Department of Pharmacy, 1/F, Science and Technology Building, The First Affiliated Hospital of Xinjiang Medical University, No.137 Liyushan Road, Xinshi District, Urumqi, Xinjiang Uygur Autonomous Region, China.
Xinjiang Key Laboratory of Clinical Drug Research, No.137 Liyushan Road, Xinshi District, Urumqi, Xinjiang Uygur Autonomous Region, China.
Health Qual Life Outcomes. 2024 Sep 7;22(1):74. doi: 10.1186/s12955-024-02288-1.
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.
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.
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.
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.
本研究旨在综合并定量评估 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 估计值提供稳健的元回归框架。
我们进行了一项系统评价，以提取 T2DM 及其并发症的 HSUV，涵盖了各种影响因素。相关文献来源于 2000 年至 2020 年的综述，补充了来自 PubMed、Embase 和 Web of Science 的文献（截至 2024 年 3 月）。采用多变量元回归评估了测量工具、关税、健康状况以及临床和人口统计学变量对 HSUV 的影响。
我们的搜索共产生了 118 项研究，提供了 1044 个 HSUV。伴有并发症的 T2DM 的 HSUV 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。不同工具之间的 HSUV 差异明显；15-D 的 HSUV 最高（0.89），而 HUI-3 的 HSUV 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。评估了并发症相关的效用下降，尤其是在糖尿病足方面。年龄<70 与 HSUV 增加有关，而较长的疾病持续时间、高血压、超重和肥胖与 HSUV 降低有关。
准确的 HSUV 对于优化 T2DM 管理策略至关重要。本研究为 HSUV 选择提供了一个全面的数据池，并量化了各种因素对 HSUV 的影响，为分析师和决策者提供了有关 T2DM 及其并发症相关效用变化的信息。
