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Public satisfaction with the healthcare system performance in South Korea: Universal healthcare system

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  • Park, Kisoo
  • Park, Jumin
  • Kwon, Young Dae
  • Kang, Yoonjeong
  • Noh, Jin-Won

Abstract

An awareness of the public's level of satisfaction with health professionals is becoming more important as steps are being taken to improve quality, reduce costs, and implement reform. The purpose of this study is to assess public satisfaction with the healthcare system and to examine the relationship between satisfaction and socio-demographic factors in the context of the health care environment in the Republic of Korea.

Suggested Citation

  • Park, Kisoo & Park, Jumin & Kwon, Young Dae & Kang, Yoonjeong & Noh, Jin-Won, 2016. "Public satisfaction with the healthcare system performance in South Korea: Universal healthcare system," Health Policy, Elsevier, vol. 120(6), pages 621-629.
    • Handle: RePEc:eee:hepoli:v:120:y:2016:i:6:p:621-629
    DOI: 10.1016/j.healthpol.2016.01.017
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    References listed on IDEAS

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    Cited by:

    1. Yuan, Yaqi, 2021. "Public satisfaction with health care system in 30 countries: The effects of individual characteristics and social contexts," Health Policy, Elsevier, vol. 125(10), pages 1359-1366.
    2. Ángel Fernández-Pérez & Ángeles Sánchez, 2019. "Improving People’s Self-Reported Experience with the Health Services: The Role of Non-Clinical Factors," IJERPH, MDPI, vol. 17(1), pages 1-12, December.
    3. García-Corchero, Juan David & Jiménez-Rubio, Dolores, 2022. "How do policy levers shape the quality of a national health system?," Journal of Policy Modeling, Elsevier, vol. 44(1), pages 203-221.
    4. Schneider, Simone M. & Popic, Tamara, 2018. "Cognitive determinants of healthcare evaluations – A comparison of Eastern and Western European countries," Health Policy, Elsevier, vol. 122(3), pages 269-278.
    5. Rajak, Manindra & Shaw, Krishnendu, 2019. "Evaluation and selection of mobile health (mHealth) applications using AHP and fuzzy TOPSIS," Technology in Society, Elsevier, vol. 59(C).
    6. Hyeram Seo & Imjin Ahn & Hansle Gwon & Hee Jun Kang & Yunha Kim & Ha Na Cho & Heejung Choi & Minkyoung Kim & Jiye Han & Gaeun Kee & Seohyun Park & Dong-Woo Seo & Tae Joon Jun & Young-Hak Kim, 2024. "Prediction of hospitalization and waiting time within 24 hours of emergency department patients with unstructured text data," Health Care Management Science, Springer, vol. 27(1), pages 114-129, March.

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