IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v336y2018icp148-161.html
   My bibliography  Save this article

Exploring diffusion strategies for mHealth promotion using evolutionary game model

Author

Listed:
  • Chen, Yi
  • Ding, Shuai
  • Zheng, Handong
  • Zhang, Youtao
  • Yang, Shanlin

Abstract

Mobile health (mHealth) is an emerging healthcare practice that provides public health information and medical care services using mobile communication devices, such as smartphones and tablet computers. Given the service convenience and the great potential in reducing medical expense, the promotion of mHealth has become an indispensable component of healthcare reform in China. While Chinese government has shown strong support in promoting mHealth, the behaviors of different participants in mHealth have not been well studied, which prevents its fast diffusion in China. In this paper, by analyzing the current status of mHealth in China, we leverage the evolutionary game theory to build a novel model to capture the behaviors of two key participants, e.g., hospitals and patients, in mHealth. We analyze the payoff matrix between hospitals and patients such that a replicator dynamic system can be built. We validate the proposed model with detailed simulations. Our observations benefit not only the mHealth participants but also the government policy makers.

Suggested Citation

  • Chen, Yi & Ding, Shuai & Zheng, Handong & Zhang, Youtao & Yang, Shanlin, 2018. "Exploring diffusion strategies for mHealth promotion using evolutionary game model," Applied Mathematics and Computation, Elsevier, vol. 336(C), pages 148-161.
    • Handle: RePEc:eee:apmaco:v:336:y:2018:i:c:p:148-161
    DOI: 10.1016/j.amc.2018.04.062
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300318303886
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.amc.2018.04.062?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wang, Chengjiang & Wang, Li & Wang, Juan & Sun, Shiwen & Xia, Chengyi, 2017. "Inferring the reputation enhances the cooperation in the public goods game on interdependent lattices," Applied Mathematics and Computation, Elsevier, vol. 293(C), pages 18-29.
    2. Ji, Ping & Ma, Xin & Li, Gang, 2015. "Developing green purchasing relationships for the manufacturing industry: An evolutionary game theory perspective," International Journal of Production Economics, Elsevier, vol. 166(C), pages 155-162.
    3. Li, Chao & Wang, Li & Sun, Shiwen & Xia, Chengyi, 2018. "Identification of influential spreaders based on classified neighbors in real-world complex networks," Applied Mathematics and Computation, Elsevier, vol. 320(C), pages 512-523.
    4. Chowdhury, Md. Maruf Hossan & Quaddus, Mohammed A., 2016. "A multi-phased QFD based optimization approach to sustainable service design," International Journal of Production Economics, Elsevier, vol. 171(P2), pages 165-178.
    5. Sarang Deo & Seyed Iravani & Tingting Jiang & Karen Smilowitz & Stephen Samuelson, 2013. "Improving Health Outcomes Through Better Capacity Allocation in a Community-Based Chronic Care Model," Operations Research, INFORMS, vol. 61(6), pages 1277-1294, December.
    6. Maksimović, Goran & Jović, Srđan & Jovanović, Radomir & Aničić, Obrad, 2017. "Management of health care expenditure by soft computing methodology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 370-373.
    7. Michael J. Boivin & Angelina M. Kakooza & Benjamin C. Warf & Leslie L. Davidson & Elena L. Grigorenko, 2015. "Reducing neurodevelopmental disorders and disability through research and interventions," Nature, Nature, vol. 527(7578), pages 155-160, November.
    8. Linda B. Cottler & Joseph Zunt & Bahr Weiss & Ayeesha Kamran Kamal & Krishna Vaddiparti, 2015. "Building global capacity for brain and nervous system disorders research," Nature, Nature, vol. 527(7578), pages 207-213, November.
    9. Kang, Yuncheol & Sawyer, Amy M. & Griffin, Paul M. & Prabhu, Vittaldas V., 2016. "Modelling adherence behaviour for the treatment of obstructive sleep apnoea," European Journal of Operational Research, Elsevier, vol. 249(3), pages 1005-1013.
    10. E. Lerzan Örmeci & Evrim Didem Güneş & Derya Kunduzcu, 2016. "A Modeling Framework for Control of Preventive Services," Manufacturing & Service Operations Management, INFORMS, vol. 18(2), pages 227-244, May.
    11. Zhang, Yihui & Tang, Shaoting & Pei, Sen & Yan, Shu & Jiang, Shijin & Zheng, Zhiming, 2015. "Health behavior spreading with similar diminishing returns effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 425(C), pages 18-26.
    12. Li, Deng-Feng, 2011. "Linear programming approach to solve interval-valued matrix games," Omega, Elsevier, vol. 39(6), pages 655-666, December.
    13. Arvind Venkat & Sunder Kekre & Gajanan G. Hegde & Jennifer Shang & Thomas P. Campbell, 2015. "Strategic Management of Operations in the Emergency Department," Production and Operations Management, Production and Operations Management Society, vol. 24(11), pages 1706-1723, November.
    14. Li, Dandan & Ma, Jing & Tian, Zihao & Zhu, Hengmin, 2015. "An evolutionary game for the diffusion of rumor in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 433(C), pages 51-58.
    15. Jing Wu & He Li & Zhangxi Lin & Khim-Yong Goh, 2017. "How big data and analytics reshape the wearable device market – the context of e-health," International Journal of Production Research, Taylor & Francis Journals, vol. 55(17), pages 5168-5182, September.
    16. Wensing, Michel & Jung, Hans Peter & Mainz, Jan & Olesen, Frede & Grol, Richard, 1998. "A systematic review of the literature on patient priorities for general practice care. Part 1: Description of the research domain," Social Science & Medicine, Elsevier, vol. 47(10), pages 1573-1588, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qiao Peng & Yao Xiao, 2020. "Will Third-Party Treatment Effectively Solve Issues Related to Industrial Pollution in China?," Sustainability, MDPI, vol. 12(18), pages 1-15, September.
    2. Yu, Yanan & He, Yong & Zhao, Xuan, 2021. "Impact of demand information sharing on organic farming adoption: An evolutionary game approach," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    3. Tiaojuan Han & Jianfeng Lu & Hao Zhang & Wentao Gao, 2024. "Evolutionary Game Analysis of Providers’ and Demanders’ Low-Carbon Cooperation in Cloud Manufacturing Mode," Sustainability, MDPI, vol. 16(6), pages 1-18, March.
    4. Zhang, Suyong & Wang, Chuanxu & Yu, Chao, 2019. "The evolutionary game analysis and simulation with system dynamics of manufacturer's emissions abatement behavior under cap-and-trade regulation," Applied Mathematics and Computation, Elsevier, vol. 355(C), pages 343-355.
    5. Yanchao Du & Hengyu Zhou & Yongbo Yuan & Hong Xue, 2019. "Exploring the Moral Hazard Evolutionary Mechanism for BIM Implementation in an Integrated Project Team," Sustainability, MDPI, vol. 11(20), pages 1-28, October.
    6. Yunpeng Yang & Weixin Yang, 2019. "Does Whistleblowing Work for Air Pollution Control in China? A Study Based on Three-party Evolutionary Game Model under Incomplete Information," Sustainability, MDPI, vol. 11(2), pages 1-20, January.
    7. Jiahuan He & Xinggang Luo & Zhongliang Zhang & Yang Yu, 2021. "Strategic Analysis of Participants in the Provision of Elderly Care Services—An Evolutionary Game Perspective," IJERPH, MDPI, vol. 18(16), pages 1-27, August.
    8. Gengjun Gao & Zhen Wu & Shuyun Wang, 2022. "Study on the incentive and coordination mechanism of tumor healthcare alliance based on evolutionary game," Journal of Combinatorial Optimization, Springer, vol. 44(4), pages 2577-2597, November.
    9. Liu, Yajie & Dong, Feng, 2022. "What are the roles of consumers, automobile production enterprises, and the government in the process of banning gasoline vehicles? Evidence from a tripartite evolutionary game model," Energy, Elsevier, vol. 238(PC).
    10. Johari, Maryam & Hosseini-Motlagh, Seyyed-Mahdi, 2022. "Evolutionary behaviors regarding pricing and payment-convenience strategies with uncertain risk," European Journal of Operational Research, Elsevier, vol. 297(2), pages 600-614.
    11. Weiwei Liu & Jianing Yang & Kexin Bi, 2020. "Factors Influencing Private Hospitals’ Participation in the Innovation of Biomedical Engineering Industry: A Perspective of Evolutionary Game Theory," IJERPH, MDPI, vol. 17(20), pages 1-18, October.
    12. Zhao, Dan & Ji, Shou-feng & Wang, He-ping & Jiang, Li-wen, 2021. "How do government subsidies promote new energy vehicle diffusion in the complex network context? A three-stage evolutionary game model," Energy, Elsevier, vol. 230(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Gui-Qing & Baró, Jordi & Cheng, Fang-Yin & Huang, He & Wang, Lin, 2019. "Avalanche dynamics of a generalized earthquake model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1463-1471.
    2. Li, Jie & Wang, Juan & Sun, Shiwen & Xia, Chengyi, 2018. "Cascading crashes induced by the individual heterogeneity in complex networks," Applied Mathematics and Computation, Elsevier, vol. 323(C), pages 182-192.
    3. Shi, Yingying & Wei, Zixiang & Shahbaz, Muhammad & Zeng, Yongchao, 2021. "Exploring the dynamics of low-carbon technology diffusion among enterprises: An evolutionary game model on a two-level heterogeneous social network," Energy Economics, Elsevier, vol. 101(C).
    4. Li, Ya & Chen, Shanxiong & Niu, Ben, 2018. "Reward depending on public funds stimulates cooperation in spatial prisoner’s dilemma games," Chaos, Solitons & Fractals, Elsevier, vol. 114(C), pages 38-45.
    5. Li, Dandan & Ma, Jing, 2017. "How the government’s punishment and individual’s sensitivity affect the rumor spreading in online social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 284-292.
    6. Yuqian Xu & Lingjiong Zhu & Michael Pinedo, 2020. "Operational Risk Management: A Stochastic Control Framework with Preventive and Corrective Controls," Operations Research, INFORMS, vol. 68(6), pages 1804-1825, November.
    7. Xue Yang & Zhiliang Zhu & Hai Yu & Yuli Zhao & Li Guo, 2019. "Evolutionary Game Dynamics of the Competitive Information Propagation on Social Networks," Complexity, Hindawi, vol. 2019, pages 1-11, December.
    8. Xingwei Li & Jingru Li & Yicheng Huang & Jinrong He & Xiang Liu & Jiachi Dai & Qiong Shen, 2022. "Construction enterprises’ adoption of green development behaviors: an agent-based modeling approach," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
    9. Hua Pan & Huimin Zhu & Minmin Teng, 2023. "Low-Carbon Transformation Strategy for Blockchain-Based Power Supply Chain," Sustainability, MDPI, vol. 15(16), pages 1-22, August.
    10. Donghui Yang & Yan Wang & Shue Mei, 2021. "How to balance online healthcare platforms and offline systems? A supply chain management perspective," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(2), pages 502-515, March.
    11. Yunsheng Deng & Jihui Zhang, 2022. "The choice-decision based on memory and payoff favors cooperation in stag hunt game on interdependent networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 95(2), pages 1-13, February.
    12. Daozhi Zhao & Jiaqin Hao & Cejun Cao & Hongshuai Han, 2019. "Evolutionary Game Analysis of Three-Player for Low-Carbon Production Capacity Sharing," Sustainability, MDPI, vol. 11(11), pages 1-20, May.
    13. Yang, Han-Xin & Chen, Xiaojie, 2018. "Promoting cooperation by punishing minority," Applied Mathematics and Computation, Elsevier, vol. 316(C), pages 460-466.
    14. Jiang, Lincheng & Zhao, Xiang & Ge, Bin & Xiao, Weidong & Ruan, Yirun, 2019. "An efficient algorithm for mining a set of influential spreaders in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 58-65.
    15. Yu, Yanan & He, Yong & Zhao, Xuan, 2021. "Impact of demand information sharing on organic farming adoption: An evolutionary game approach," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    16. Ziyi Chen & Kaiyan Dai & Xing Jin & Liqin Hu & Yongheng Wang, 2023. "Aspiration-Based Learning in k -Hop Best-Shot Binary Networked Public Goods Games," Mathematics, MDPI, vol. 11(14), pages 1-19, July.
    17. Saddam A. Hazaea & Ebrahim Mohammed Al-Matari & Khaled Zedan & Saleh F. A. Khatib & Jinyu Zhu & Hamzeh Al Amosh, 2022. "Green Purchasing: Past, Present and Future," Sustainability, MDPI, vol. 14(9), pages 1-28, April.
    18. Zhi Li & Guanghao Jin & Shen Duan, 2018. "Evolutionary Game Dynamics for Financial Risk Decision-Making in Global Supply Chain," Complexity, Hindawi, vol. 2018, pages 1-10, October.
    19. Kabir, K.M. Ariful & Kuga, Kazuki & Tanimoto, Jun, 2019. "Effect of information spreading to suppress the disease contagion on the epidemic vaccination game," Chaos, Solitons & Fractals, Elsevier, vol. 119(C), pages 180-187.
    20. Chen, Wei & Hou, Xiaoli & Jiang, Manrui & Jiang, Cheng, 2022. "Identifying systemically important financial institutions in complex network: A case study of Chinese stock market," Emerging Markets Review, Elsevier, vol. 50(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:apmaco:v:336:y:2018:i:c:p:148-161. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.