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        Chapter Value-Based Evaluation of Chinese Provincial Health Insurance Policy Schemes

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        Author(s)
        Hu, Shanlian
        Holtorf, Anke-Peggy
        Wijaya, Kalman
        He, Jiangjiang
        Brixner, Diana
        Language
        English
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        Abstract
        Since 2011, an international group of health policy experts has been working on a value-framework to be used for pharmaceutical policy decisions based on multicriteria decision analysis (MCDA). This tool can be easily adapted to a local decision-making context through a facilitated workshop format. Several workshops have been conducted in emerging markets to test the acceptance and feasibility of using MCDA in local decision-making. In China, national policy goals for expanding health-care coverage pressure the provincial governments to implement more comprehensive coverage schemes. This chapter demonstrates the adaptation of a global value-framework to the local policy environment. In September 2018, nine leaders from provincial health insurance bureaus responsible for the urban employee basic medical insurance (UEBMI) participated in a 1-day workshop to build a consensus on the most important objectives for the health-care reform and to translate these into measurable criteria. The participants ranked the criteria by importance and MCDA methodology was used for weighing the importance of each criterion in the final decision. The model driving this process will be presented and discussed by comparing two policy options for health-care reform.
        URI
        https://library.oapen.org/handle/20.500.12657/49344
        Keywords
        China, multicriteria decision analysis, MCDA, insurance policy, decision-making, stakeholder engagement, medical savings account
        DOI
        10.5772/intechopen.84373
        Publisher
        InTechOpen
        Publisher website
        https://www.intechopen.com/
        Publication date and place
        2020
        Classification
        Health psychology
        Rights
        https://creativecommons.org/licenses/by/3.0/
        • Imported or submitted locally

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        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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