Health State Utility Values of Type 2 Diabetes Mellitus and Related Complications: A Systematic Review and Meta-Regresstion
Speaker(s)
ABSTRACT WITHDRAWN
OBJECTIVES:
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 the selection of appropriate HSUV estimates.METHODS: We conducted a systematic review to extract HSUVs for T2DM and its complications, encompassing a range of influencing factors. Relevant literature was sourced from PubMed, Embase, and the Web of Science (up to March 2024), supplemented by reviews spanning 2000-2023. Multivariate meta-regression was performed to evaluate the impact of measurement tools, tariffs, health status, and clinical as well as 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 significant effects of instrument and tariff choice on HSUVs. Complication-related utility decrement, especially in cerebrovascular disease, was quantified. Age <70 linked to increased HSUVs, while longer illness duration, hypertension, overweight and obesity correlated with reduced HSUVs.
CONCLUSIONS: 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.
Code
EE679
Topic
Economic Evaluation
Topic Subcategory
Cost-comparison, Effectiveness, Utility, Benefit Analysis
Disease
Diabetes/Endocrine/Metabolic Disorders (including obesity)