Next Article in Journal
Creation and Validation of a Linear Index to Measure the Health State of Patients with Depression in Automated Healthcare Databases
Previous Article in Journal
Medico-Economic Study of Pain in an Emergency Department: A Targeted Literature Review
 
 
Journal of Market Access & Health Policy (JMAHP) is published by MDPI from Volume 12 Issue 1 (2024). Previous articles were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence, and they are hosted by MDPI on mdpi.com as a courtesy and upon agreement with Taylor & Francis.
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Economic Burden for Alzheimer’s Disease in China from 2010 to 2050: A Modelling Study

by
Emilie Clay
1,*,†,
Junwen Zhou
2,†,
Zhan-Miao Yi
3,4,5,
Suodi Zhai
3 and
Mondher Toumi
2
1
Health Economics and Outcomes Research Department, Creativ-Ceutical, Paris, France
2
Public Health Department – Research Unit EA 3279, Aix-Marseille University, Marseille, France
3
Department of Pharmacy, Peking University Third Hospital, Beijing, China
4
Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Science, Peking University Health Science Center, Beijing, China
5
Institute for Drug Evaluation, Peking University Health Science Center, Beijing, China
*
Author to whom correspondence should be addressed.
Those authors are both first authors and contributed equally to the paper.
J. Mark. Access Health Policy 2019, 7(1), 1667195; https://doi.org/10.1080/20016689.2019.1667195
Submission received: 6 December 2018 / Revised: 6 September 2019 / Accepted: 9 September 2019 / Published: 26 September 2019

Abstract

Objectives: We aimed to conduct a modelling study to estimate and predict the economic burden of AD to support the healthcare management of AD in China. Methods: The economic burden of AD was estimated with an evaluation of the prevalence of AD patients and a simulation of annual resource use and cost per AD patient in China using a published model. Percentage of AD patients being treated was assumed to be 5% from 2010 to 2050, with three scenarios testing the value of this parameter of 10%, 20% and 40% throughout 2020 to 2050. Results: The costs of AD were estimated to be from around 91 billion RMB in 2010 to 332 billion in 2050. Most of the current burden was related to private caregivers paid by families. With the percentage of patients being treated changing from 5% to 40%, costs were estimated to double. This was related to more hospitalisations and more use of care facilities, while the burden for families would decrease. Conclusion: A high economic burden related to AD is predicted. The burden would be driven mainly by indirect costs related to the social support of the patients. Investment in improving awareness and care of AD patients is needed and worth it.
Keywords: Alzheimer’s disease; economic burden; caregiver burden; economic model; China Alzheimer’s disease; economic burden; caregiver burden; economic model; China

Share and Cite

MDPI and ACS Style

Clay, E.; Zhou, J.; Yi, Z.-M.; Zhai, S.; Toumi, M. Economic Burden for Alzheimer’s Disease in China from 2010 to 2050: A Modelling Study. J. Mark. Access Health Policy 2019, 7, 1667195. https://doi.org/10.1080/20016689.2019.1667195

AMA Style

Clay E, Zhou J, Yi Z-M, Zhai S, Toumi M. Economic Burden for Alzheimer’s Disease in China from 2010 to 2050: A Modelling Study. Journal of Market Access & Health Policy. 2019; 7(1):1667195. https://doi.org/10.1080/20016689.2019.1667195

Chicago/Turabian Style

Clay, Emilie, Junwen Zhou, Zhan-Miao Yi, Suodi Zhai, and Mondher Toumi. 2019. "Economic Burden for Alzheimer’s Disease in China from 2010 to 2050: A Modelling Study" Journal of Market Access & Health Policy 7, no. 1: 1667195. https://doi.org/10.1080/20016689.2019.1667195

APA Style

Clay, E., Zhou, J., Yi, Z. -M., Zhai, S., & Toumi, M. (2019). Economic Burden for Alzheimer’s Disease in China from 2010 to 2050: A Modelling Study. Journal of Market Access & Health Policy, 7(1), 1667195. https://doi.org/10.1080/20016689.2019.1667195

Article Metrics

Back to TopTop