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Performance of hospital services in Ontario: DEA with truncated regression approach

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  • Chowdhury, Hedayet
  • Zelenyuk, Valentin

Abstract

In this work, we analyze production performance of hospital services in Ontario (Canada), by investigating its key determinants. Using data for the years 2003 and 2006, we follow the two-stage approach of Simar and Wilson (2007) [76]. Specifically, we use Data Envelopment Analysis (DEA) at the first stage to estimate efficiency scores and then use truncated regression estimation with double-bootstrap to test the significance of explanatory variables. We also examine distributions of efficiency across geographic locations, size and teaching status. We find that several organizational factors such as occupancy rate, rate of unit-producing personnel, outpatient–inpatient ratio, case-mix index, geographic locations, size and teaching status are significant determinants of efficiency.

Suggested Citation

  • Chowdhury, Hedayet & Zelenyuk, Valentin, 2016. "Performance of hospital services in Ontario: DEA with truncated regression approach," Omega, Elsevier, vol. 63(C), pages 111-122.
  • Handle: RePEc:eee:jomega:v:63:y:2016:i:c:p:111-122
    DOI: 10.1016/j.omega.2015.10.007
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    Cited by:

    1. Richard Gearhart & Nyakundi Michieka, 2020. "A non-parametric investigation of supply side factors and healthcare efficiency in the U.S," Journal of Productivity Analysis, Springer, vol. 54(1), pages 59-74, August.
    2. Sebastian Kohl & Jan Schoenfelder & Andreas Fügener & Jens O. Brunner, 2019. "The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals," Health Care Management Science, Springer, vol. 22(2), pages 245-286, June.
    3. Cayir Ervural, Beyzanur & Zaim, Selim & Delen, Dursun, 2018. "A two-stage analytical approach to assess sustainable energy efficiency," Energy, Elsevier, vol. 164(C), pages 822-836.
    4. Nan Jiang & Antony Andrews, 2020. "Efficiency of New Zealand’s District Health Boards at Providing Hospital Services: A stochastic frontier analysis," Journal of Productivity Analysis, Springer, vol. 53(1), pages 53-68, February.
    5. Wu, Yunna & Ke, Yiming & Zhang, Ting & Liu, Fangtong & Wang, Jing, 2018. "Performance efficiency assessment of photovoltaic poverty alleviation projects in China: A three-phase data envelopment analysis model," Energy, Elsevier, vol. 159(C), pages 599-610.
    6. Mustafa Jahangoshai Rezaee & Abuzar Karimdadi & Hamidreza Izadbakhsh, 2019. "Road map for progress and attractiveness of Iranian hospitals by integrating self-organizing map and context-dependent DEA," Health Care Management Science, Springer, vol. 22(3), pages 410-436, September.
    7. Ferreira, D.C. & Marques, R.C. & Nunes, A.M., 2018. "Economies of scope in the health sector: The case of Portuguese hospitals," European Journal of Operational Research, Elsevier, vol. 266(2), pages 716-735.
    8. Diogo Cunha Ferreira & Alexandre Morais Nunes & Rui Cunha Marques, 2020. "Operational efficiency vs clinical safety, care appropriateness, timeliness, and access to health care," Journal of Productivity Analysis, Springer, vol. 53(3), pages 355-375, June.
    9. Ferreira, D.C. & Marques, R.C., 2019. "Do quality and access to hospital services impact on their technical efficiency?," Omega, Elsevier, vol. 86(C), pages 218-236.
    10. Akkan, Can & Karadayi, Melis Almula & Ekinci, Yeliz & Ülengin, Füsun & Uray, Nimet & Karaosmanoğlu, Elif, 2020. "Efficiency analysis of emergency departments in metropolitan areas," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    11. Jiang, Bowen & Tang, Jiafu & Yan, Chongjun, 2019. "A stochastic programming model for outpatient appointment scheduling considering unpunctuality," Omega, Elsevier, vol. 82(C), pages 70-82.
    12. Alessandro Manello & Maurizio Cisi & Francesco Devicienti & Davide Vannoni, 2020. "Networking: a business for women," Small Business Economics, Springer, vol. 55(2), pages 329-348, August.
    13. Robin C. Sickles & Wonho Song & Valentin Zelenyuk, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," CEPA Working Papers Series WP082018, School of Economics, University of Queensland, Australia.
    14. Camilla Mastromarco & Lenka Stastna & Jana Votapkova, 2019. "Efficiency of hospitals in the Czech Republic: Conditional efficiency approach," Journal of Productivity Analysis, Springer, vol. 51(1), pages 73-89, February.
    15. Bayram Şahin & Gülnur İlgün, 2019. "Assessment of the impact of public hospital associations (PHAs) on the efficiency of hospitals under the ministry of health in Turkey with data envelopment analysis," Health Care Management Science, Springer, vol. 22(3), pages 437-446, September.
    16. Ramanathan, Ramakrishnan & Ramanathan, Usha & Bentley, Yongmei, 2018. "The debate on flexibility of environmental regulations, innovation capabilities and financial performance – A novel use of DEA," Omega, Elsevier, vol. 75(C), pages 131-138.

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