The Influence of Referral Cognition on Referral Intention Among Outpatient Patients: An Empirical Research

  • Xinli Zhang
  • Lingyun Zhang
  • Zhen Zeng
  • Yeli ChenEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1190)


Two-way referral is essentially a method of medical reform led by the government to optimize and integrate urban medical resources. The low downward referral intention can be attributed to patients’ insufficient understanding of the primary health care service and the low cognition of referral. In this paper, we conducted a questionnaire with 8 items of demographic characteristics, referral cognition and referral intention among outpatients in large hospitals, and adopted the follow-up of two years in 2014 and 2017. Based on the sample data of two years, we set up the logistics regression models for referral cognition and intention respectively to certify that there existed the influence of referral cognition on the referral intention; then constructed an incremental utility index on the basis of referral cognition increments and referral intention increments. We strive to detect the patients’ attribute type causing this influence in the demographic characteristics by using the method of empirical analysis, hence provide access for referral intention intervention for different people.


Cognition-intention utility Classification Incremental utility analysis 



The author gratefully acknowledges Xinli Zhang and Yeli Chen’s efforts on the paper collection and classification, Zhen Zeng and Lingyun Zhang’s efforts on data collation and analysis, and Lingyun Zhang’s efforts on the chart drawing and improving. This work was supported by the research project from Sichuan University (Reference:2018hhs-54).


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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Xinli Zhang
    • 1
  • Lingyun Zhang
    • 1
  • Zhen Zeng
    • 1
  • Yeli Chen
    • 2
    Email author
  1. 1.Business SchoolSichuan UniversityChengduPeople’s Republic of China
  2. 2.West China Hospital of Sichuan UniversityChengduPeople’s Republic of China

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