Optimal follow-up policies for monitoring chronic diseases based on virtual age

作     者：Li, Mei Liu, Zixian Liu, Yiliu Li, Xiaopeng Lv, Ling 

作者机构：Tianjin Univ Coll Management & Econ Tianjin Peoples R China Norwegian Univ Sci & Technol Dept Mech & Ind Engn Trondheim Norway Nanjing Univ Finance & Econ Sch Management & Engn Nanjing Peoples R China Tianjin Childrens Hosp Dept Endocrinol 238 Longyan St Tianjin 300134 Peoples R China 

出 版 物：《INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH》 (国际生产研究杂志)

年 卷 期：2022年第60卷第15期

页      面：4712-4726页

核心收录：

学科分类：12[管理学] 120202[管理学-企业管理（含：财务管理、市场营销、人力资源管理）] 0202[经济学-应用经济学] 02[经济学] 1202[管理学-工商管理] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0802[工学-机械工程] 

基　　金：National Natural Science Foundation of China [71871158, 91746205] Norwegian DIKU project UTF-2017-four-year 

主　　题：Follow-up policy disease monitoring stochastic programming virtual age patient heterogeneity 

摘      要：Follow-up policies following treatment are indispensable and effective in reducing the number of complications of chronic diseases, and hence the cost of treating complications, but bring additional follow-up cost inevitably. This paper introduces the virtual age method to measure the effect of follow-up on the patient s risk of developing a complication, and further proposes a mixed integer nonlinear programming model to develop the optimal periodic follow-up policies from a cost perspective. By means of the proposed model, the optimal timing and type of follow-up checkups for heterogeneous patients can be derived, achieving a tradeoff between costs of treating complications and follow-up. A case study of pediatric type 1 diabetes mellitus patients is presented to illustrate the applicability of the proposed method and analyse the impacts of significant input parameters on the optimal model solutions. The findings form the basis to design flexible and effective follow-up policies for monitoring patients with chronic diseases.