Prediction of Productivity Costs Related to Cervical Cancer Mortality in Indonesia 2018

• Main Authors: Kristina, Susi Ari, Endarti, Dwi, Aditama, Hardika
• Format: Article PeerReviewed
• Language: English
• Published: Penerbit Universiti Sains Malaysia 2022
• Subjects: Pharmaceutical Sciences
• Online Access: https://repository.ugm.ac.id/283685/1/Prediction%20of%20Productivity%20Costs%20Related%20to%20Cervical%20Cancer%20Mortality%20in%20Indonesia%202018.pdf; https://repository.ugm.ac.id/283685/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127088315&doi=10.21315%2fmjms2022.29.1.13&partnerID=40&md5=0904e33158605d64561d1b31fe052cc6
• Institution: Universitas Gadjah Mada

Background: 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. Methods: 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). Results: 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. Conclusion: 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. © 2022, Penerbit Universiti Sains Malaysia. All rights reserved.