Kongnakorn Thitima, Tichy Eszter, Kengkla Kirati, Kanokwanvimol Nuttawan, Suthipinijtham Pichaya, Phuripakathorn Chanyapat, Al Taie Amer
Modeling and Simulation, Evidera, Bangkok, Thailand.
Modeling and Simulation, Evidera, Budapest, Hungary.
Antimicrob Steward Healthc Epidemiol. 2023 Jun 29;3(1):e109. doi: 10.1017/ash.2023.169. eCollection 2023.
To quantify the economic burden of bacterial antimicrobial resistance in Thailand and estimate potential savings from improving the rate of appropriate empiric treatment, where effective coverage is provided within the first days of infection.
Cost-of-illness study.
A cost-calculator, decision-tree model was developed using published data and records from 3 Thai hospitals for patients hospitalized with antimicrobial-resistant infections between 2015 and 2019. Direct and indirect costs of antimicrobial-resistant infections were assessed over a 5-year time horizon, with outcomes derived separately for cases having received appropriate empiric treatment versus inappropriate empiric treatment. In a real-world scenario, outcomes were estimated using actual rates of inappropriate empiric treatment, and in a hypothetical scenario, outcomes were estimated using decreased rates of inappropriate empiric treatment.
Over 5 years, in-hospital antimicrobial-resistant infections produced costs of approximately Thai baht (THB) 66.4 billion (USD 2.1 billion) in the real-world scenario and THB 65.8 billion (USD 2.1 billion) in the hypothetical scenario (0.9% cost savings relative to the real-world scenario). Most costs were attributable to income loss due to in-hospital mortality (real world: THB 53.7 billion [USD 1.7 billion]; 80.9% of costs; hypothetical: THB 53.2 billion [USD 1.7 billion]; 80.8% of costs) and hospitalization (real world: THB 10.3 billion [USD 330.8 million]; 15.5% of costs; hypothetical: THB 10.2 billion [USD 328.9 million]; 15.5% of costs).
In-hospital antimicrobial-resistant infections produced a substantial economic toll in Thailand. This public health burden could be reduced with a strategy aimed at decreasing the rate of patients receiving inappropriate empiric treatment.
量化泰国细菌抗菌药物耐药性的经济负担,并估计通过提高适当经验性治疗率(即在感染后的头几天内提供有效覆盖)可能节省的费用。
疾病成本研究。
利用已发表的数据和泰国3家医院2015年至2019年期间住院的抗菌药物耐药性感染患者的记录,开发了一个成本计算器决策树模型。在5年的时间范围内评估抗菌药物耐药性感染的直接和间接成本,分别得出接受适当经验性治疗与不适当经验性治疗的病例的结果。在实际情景中,使用不适当经验性治疗的实际发生率来估计结果,在假设情景中,使用降低的不适当经验性治疗发生率来估计结果。
在5年期间,在实际情景中,医院内抗菌药物耐药性感染产生的成本约为664亿泰铢(21亿美元),在假设情景中为658亿泰铢(21亿美元)(相对于实际情景节省0.9%的成本)。大多数成本归因于因医院内死亡导致的收入损失(实际情景:537亿泰铢[17亿美元];占成本的80.9%;假设情景:532亿泰铢[17亿美元];占成本的80.8%)和住院费用(实际情景:103亿泰铢[3.308亿美元];占成本的15.5%;假设情景:102亿泰铢[3.289亿美元];占成本的15.5%)。
医院内抗菌药物耐药性感染在泰国造成了巨大的经济损失。通过旨在降低接受不适当经验性治疗患者比例的策略,可以减轻这一公共卫生负担。