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Taiwan quality indicator project and hospital productivity growth

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Author Info

  • Chang, Shyr-Juh
  • Hsiao, Hsing-Chin
  • Huang, Li-Hua
  • Chang, Hsihui
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    Abstract

    The Taiwan Quality Indicator Project (TQIP) is a quality management program that measures and monitors the healthcare quality of hospitals in Taiwan. This paper examines the impact of TQIP participation on hospital productivity growth with the application of the Malmquist productivity change index based on data envelopment analysis (DEA). Analyzing operations data from 31 TQIP regional hospitals over the period 1998-2004, we find that TQIP hospitals improved their productivity in the post-TQIP period. This improvement is attributable to quality change and relative efficiency progress. The simultaneous enhancement in both quality and relative efficiency coincides with the philosophy of total quality management (TQM) spirit, and confirms the efficiency improvement and quality assurance functions of TQIP.

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    Bibliographic Info

    Article provided by Elsevier in its journal Omega.

    Volume (Year): 39 (2011)
    Issue (Month): 1 (January)
    Pages: 14-22

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    Handle: RePEc:eee:jomega:v:39:y:2011:i:1:p:14-22

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    Related research

    Keywords: Taiwan Quality Indicator Project (TQIP) Malmquist productivity change index Data envelopment analysis (DEA);

    References

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    Cited by:
    1. Lin, Rung-Chuan & Sir, Mustafa Y. & Pasupathy, Kalyan S., 2013. "Multi-objective simulation optimization using data envelopment analysis and genetic algorithm: Specific application to determining optimal resource levels in surgical services," Omega, Elsevier, vol. 41(5), pages 881-892.
    2. Grigoroudis, E. & Orfanoudaki, E. & Zopounidis, C., 2012. "Strategic performance measurement in a healthcare organisation: A multiple criteria approach based on balanced scorecard," Omega, Elsevier, vol. 40(1), pages 104-119, January.
    3. Ramón, Nuria & Ruiz, José L. & Sirvent, Inmaculada, 2011. "Reducing differences between profiles of weights: A "peer-restricted" cross-efficiency evaluation," Omega, Elsevier, vol. 39(6), pages 634-641, December.
    4. Maenhout, Broos & Vanhoucke, Mario, 2013. "An integrated nurse staffing and scheduling analysis for longer-term nursing staff allocation problems," Omega, Elsevier, vol. 41(2), pages 485-499.
    5. Robinson, Stewart & Radnor, Zoe J. & Burgess, Nicola & Worthington, Claire, 2012. "SimLean: Utilising simulation in the implementation of lean in healthcare," European Journal of Operational Research, Elsevier, vol. 219(1), pages 188-197.
    6. Dulá, J.H. & López, F.J., 2013. "DEA with streaming data," Omega, Elsevier, vol. 41(1), pages 41-47.
    7. Partovi, Fariborz Y., 2011. "Corporate philanthropic selection using data envelopment analysis," Omega, Elsevier, vol. 39(5), pages 522-527, October.
    8. Kao, Chiang & Liu, Shiang-Tai, 2014. "Multi-period efficiency measurement in data envelopment analysis: The case of Taiwanese commercial banks," Omega, Elsevier, vol. 47(C), pages 90-98.

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