Based on a Markov model, cost-effectiveness analysis of influenza vaccination among people aged 60 years and older in Shenzhen
10.3760/cma.j.cn112338-20211221-01005
- VernacularTitle:基于马尔科夫模型的深圳市60岁及以上人群接种流感疫苗的成本效果分析
- Author:
Xiaoliang WU
1
;
Zhaojia YE
;
Xu XIE
;
Fang HUANG
;
Dongfeng KONG
;
Tiejian FENG
;
Shunxiang ZHANG
;
Yawen JIANG
Author Information
1. 深圳市疾病预防控制中心，深圳 518073
- Keywords:
Influenza vaccine;
Cost-effectiveness analysis;
Markov state transition model
- From:
Chinese Journal of Epidemiology
2022;43(7):1140-1146
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To assess the cost-effectiveness of influenza vaccination among people aged 60 years and older in Shenzhen.Methods:A Markov state transition model was constructed to evaluate the cost-effectiveness of annual influenza vaccination for preventing influenza infection compared with no vaccination among the elderly from the social perspective. Allowing seasonal variation of influenza activity, the model followed a five-year cohort using weekly cycles. We employed once the Chinese gross domestic product (GDP) per capita in 2019 (70 892 yuan) as the willingness-to-pay (WTP) threshold and calculated the net monetary benefit (NMB) with costs and quality-adjusted life-years (QALYs) discounted at 5% annually. The impact of parameter uncertainty on the results was examined using one-way and probabilistic sensitivity analyses (PSA).Results:The base case amounted to approximately 35 yuan of cost-saving and a net gain of 0.007 QALYs. Correspondingly, the NMB was 529 yuan per vaccinated person. One-way sensitivity analyses showed that the NMB was relatively sensitive to changes in the attack rate of influenza and vaccine effectiveness. Based on the results of PSA with 1 000 Monte Carlo simulations, influenza vaccination had a probability of being cost-effective in 100% of the repetitions.Conclusions:The present study provides evidence that influenza vaccination is a cost-saving disease prevention strategy for people aged 60 years and older in Shenzhen.
