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Using data envelopment analysis for assessing the performance of pediatric emergency department physicians

Author

Listed:
  • Javier Fiallos

    (Elizabeth Bruyere Hospital)

  • Jonathan Patrick

    (University of Ottawa)

  • Wojtek Michalowski

    (University of Ottawa)

  • Ken Farion

    (Children’s Hospital of Eastern Ontario)

Abstract

In attempting to measure the performance of providers in a service industry such as health care, it is crucial that the measurement tool recognize both the efficiency and quality of service provided. We develop a Data Envelopment Analysis (DEA) model to help assess the performance of emergency department (ED) physicians at a partner hospital. The model incorporates efficiency measures as inputs and quality measures as outputs. We demonstrate the importance of a nuanced approach that recognizes the heterogeneity of patients that an ED physician encounters and the important role s/he plays as a mentor for physicians in training. In the study, patients were grouped according to their presenting complaint and ED physicians were assessed on each group separately. Performance variations were evident between physicians within each complaint group as well as between groups. A secondary grouping divided patients based on whether the attending physician was assisted by a trainee. Almost all ED physicians showed better performance scores when not assisted by trainees or ED fellows.

Suggested Citation

  • Javier Fiallos & Jonathan Patrick & Wojtek Michalowski & Ken Farion, 2017. "Using data envelopment analysis for assessing the performance of pediatric emergency department physicians," Health Care Management Science, Springer, vol. 20(1), pages 129-140, March.
    • Handle: RePEc:kap:hcarem:v:20:y:2017:i:1:d:10.1007_s10729-015-9344-0
    DOI: 10.1007/s10729-015-9344-0
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    References listed on IDEAS

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    Cited by:

    1. Onder, O. & Cook, W. & Kristal, M., 2022. "Does quality help the financial viability of hospitals? A data envelopment analysis approach," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    2. İlgün, Gülnur & Sönmez, Seda & Konca, Murat & Yetim, Birol, 2022. "Measuring the efficiency of Turkish maternal and child health hospitals: A two-stage data envelopment analysis," Evaluation and Program Planning, Elsevier, vol. 91(C).
    3. Habib Zare & Madjid Tavana & Abbas Mardani & Sepideh Masoudian & Mahyar Kamali Saraji, 2019. "A hybrid data envelopment analysis and game theory model for performance measurement in healthcare," Health Care Management Science, Springer, vol. 22(3), pages 475-488, September.
    4. Miguel Ortíz-Barrios & Natalia Jaramillo-Rueda & Muhammet Gul & Melih Yucesan & Genett Jiménez-Delgado & Juan-José Alfaro-Saíz, 2023. "A Fuzzy Hybrid MCDM Approach for Assessing the Emergency Department Performance during the COVID-19 Outbreak," IJERPH, MDPI, vol. 20(5), pages 1-39, March.
    5. Margit Sommersguter-Reichmann, 2022. "Health care quality in nonparametric efficiency studies: a review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(1), pages 67-131, March.

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