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Key factors affecting the hospital performance: a qualitative study using fuzzy logic

Author

Listed:
  • Mohamad-Ali Afsharkazemi
  • Jila Manouchehri
  • Mojtaba Salarifar
  • Amir Nasiripour

Abstract

Identifying the key factors affecting the hospital performance helps better planning for hospital high performance. The purpose of this study is to provide a combination of qualitative and quantitative methods to investigate the hospital performance. In the qualitative section of this study, factors associated with hospital performance were detected using literature review, interviews, and expert panels. The findings analyzed by one sample t test and categorized by framework analysis method. In the quantitative section of this study, both direct and indirect relationships between factors were measured by using fuzzy Decision Making Trial and Evaluation Laboratory technique to detect influencing and influenced factors. Finally the key factors affecting the hospital performance were detected. Copyright Springer Science+Business Media B.V. 2013

Suggested Citation

  • Mohamad-Ali Afsharkazemi & Jila Manouchehri & Mojtaba Salarifar & Amir Nasiripour, 2013. "Key factors affecting the hospital performance: a qualitative study using fuzzy logic," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(6), pages 3559-3573, October.
    • Handle: RePEc:spr:qualqt:v:47:y:2013:i:6:p:3559-3573
    DOI: 10.1007/s11135-012-9739-7
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    References listed on IDEAS

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    Cited by:

    1. A. Azadeh & M. Ameli & N. Alisoltani & S. Motevali Haghighi, 2016. "A unique fuzzy multi-control approach for continuous quality improvement in a radio therapy department," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(6), pages 2469-2493, November.
    2. Fu Chen & Der-Jang Chi, 2015. "Application of a new DEMATEL to explore key factors of China’s corporate social responsibility: evidence from accounting experts," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(1), pages 135-154, January.
    3. Yang Liu & Zhi-Ping Fan & Yan-Ping Jiang, 2018. "Satisfied surgeon–patient matching: a model-based method," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(6), pages 2871-2891, November.

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