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Factors That Influence Patient Hospitals Choices: Evidence From Taiwan

Author

Listed:
  • Hsiang-Tsai Chiang
  • Tung-Yang Huang

Abstract

This study conducted an in-depth discussion on factors that influence patient hospitals choices in Taiwan. The paper conducted an electronic questionnaire survey based on the perspective of those who have been to hospitals or who care for patients to assess satisfaction with past medical treatment. Some 250 questionnaires were sent out and we effectively collected 211 questionnaires. Descriptive statists shows that the recommendation of relatives and friends have the greatest influence on decision-making factors of people's medical treatment, accounting at 56%, followed by the distance to medical treatment accounting at 15%. Chi-square analysis revealed that age, marriage and occupation were significant in whether they were willing to recommend relatives and friends to hospital. The study found that unmarried men aged 18-24 years and students were least likely to recommend relatives and friends to seek medical treatment in a hospital. Regression analysis revealed the presence of famous doctors and perfect referral services had a significant effect on people's medical treatment decision-making. People are willing to choose hospital for medical treatment when there are famous doctors stationed in hospitals and perfect referral services.

Suggested Citation

  • Hsiang-Tsai Chiang & Tung-Yang Huang, 2022. "Factors That Influence Patient Hospitals Choices: Evidence From Taiwan," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 16(1), pages 113-121.
    • Handle: RePEc:ibf:gjbres:v:16:y:2022:i:1:p:113-121
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    More about this item

    Keywords

    Hospital; Famous Doctor; Referral Services;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • L52 - Industrial Organization - - Regulation and Industrial Policy - - - Industrial Policy; Sectoral Planning Methods

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