Proceedings of the 8th International Conference on Modern Approaches in Humanities and Social Sciences
Year: 2024
DOI:
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Cost-Effectiveness Analysis of Diabetes Mellitus Screening among Individuals with Hepatitis B Virus
Jinzhao Xie, Hanting Liu1, Xu Wang, Jinghua Li, Yuantao Hao, Yusheng Jie5, Jing Gu
ABSTRACT:
Untreated type 2 diabetes mellitus (T2DM) can accelerate the progression of liver disease in individuals with hepatitis B virus (HBV), whereas the diagnosis rate for T2DM remains low. We evaluated the cost-effectiveness of implementing T2DM screening among HBV-infected adults using a decision-analytic Markov model. Individuals with HBV and uncontrolled T2DM experience more rapid HBV-related disease progression than those with HBV alone. We simulated 50 screening strategies, encompassing a combination of 10 age groups ranging from 30 to 70 years and 5 screening frequencies, and compared them to the no screening strategy (status quo). We calculated the incremental cost-effectiveness ratio (ICER) between the different screening strategies. We conducted probabilistic sensitivity analyses to assess the robustness of the model’s findings. Compared with status quo, various screening strategies would result in an additional cost of US$4.155–79.296 million and gain 233–4,736 quality-adjusted life-years (QALYs) in a designated cohort of 100,000 adults aged 30–70 years over a lifetime. With a willingness-to-pay threshold of three times the Chinese gross domestic product (GDP) per capita, the annual screening strategy for the 30–70 age group was the most cost-effective strategy (ICER $30,503 per QALY) compared with the lower-cost non-dominated strategy, and the probability of it being cost-effective (87%) outperformed other strategies. When the willingness-to-pay threshold was reduced to two times GDP per capita, the screening strategy for the 30–70 age group every three years was the most cost-effective. Our findings offer crucial evidence to inform health policies for managing T2DM among HBV-infected individuals.
keywords: economic evaluation, health policy, modelling study, public health, quality-adjusted life-years