Kristina Susi Ari, Endarti Dwi, Aditama Hardika
Department of Pharmaceutics, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Malays J Med Sci. 2022 Feb;29(1):138-144. doi: 10.21315/mjms2022.29.1.13. Epub 2022 Feb 23.
Cervical cancer is the second leading cause of death in Indonesia, causing a significant societal burden. This study aims to quantify the burden of cervical cancer in terms of years of life lost (YLL) and productivity cost to support the idea that cervical cancer has substantial economic implications.
Using an epidemiological approach on the prevalence data of 2018, the productivity cost and YLL were estimated by calculating the number of cervical cancer deaths, life expectancy, annual earnings and employment participation rate. Cervical cancer mortality data were obtained from the Global Cancer Observatory (GLOBOCAN) 2018, life expectancy for Indonesia from the WHO Life Tables (2019), and the annual earnings and participation rate of Indonesia were retrieved from the National Statistics Bureau (2018).
In 2018, there were 17,253 deaths due to cervical cancer in Indonesia, resulting in 246,350 YLL with a total productivity cost of Indonesian Rupiah (IDR)23,174 trillion. The age group of 50 years old-64 years old experienced the greatest loss of earnings (IDR12,149 trillion), followed by the 35 years old-49 years old (IDR8,944 trillion) and 20 years old-34 years old (IDR8,944 trillion) age groups.
The productivity impact of loss of earning due to cervical cancer mortality is significant. This information may assist decision makers in allocating scarce resources among competing priorities.
宫颈癌是印度尼西亚第二大致死原因,造成了巨大的社会负担。本研究旨在从寿命损失年数(YLL)和生产力成本方面量化宫颈癌负担,以支持宫颈癌具有重大经济影响这一观点。
采用流行病学方法,基于2018年的患病率数据,通过计算宫颈癌死亡人数、预期寿命、年收益和就业参与率来估计生产力成本和YLL。宫颈癌死亡率数据来自《全球癌症观测站》(GLOBOCAN)2018,印度尼西亚的预期寿命来自世界卫生组织生命表(2019),印度尼西亚的年收益和参与率数据来自国家统计局(2018)。
2018年,印度尼西亚有17253例宫颈癌死亡病例,导致246350个寿命损失年,总生产力成本为23174万亿印尼盾。50岁至64岁年龄组的收入损失最大(12149万亿印尼盾),其次是35岁至49岁年龄组(8944万亿印尼盾)和20岁至34岁年龄组(8944万亿印尼盾)。
宫颈癌死亡导致的收入损失对生产力的影响巨大。这些信息可能有助于决策者在相互竞争的优先事项中分配稀缺资源。