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Integrated Analysis of Healthcare Efficiency: A Systematic Review

  • Systems-Level Quality Improvement
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Abstract

Data Envelopment Analysis (DEA) has been used as a performance measurement tool in efficiency assessment of healthcare systems. However, over the years, researchers and health practitioners presented the theoretical and methodological limitations of DEA that limits the full view of healthcare efficiency. To address these limitations, a commonly used strategy is to integrate other statistical methods and techniques with DEA to provide better efficiency evaluation. This paper reviews 57 studies with DEA applications in the healthcare industry to illustrate the integrated analysis of healthcare efficiency. With DEA as the central method, regression models in conjunction with statistical tests are commonly used. Input-oriented radial DEA models using predominantly capacity-related inputs and activity-related outputs and following either constant return to scale or variable return to scale assumptions are mostly applied to measure healthcare efficiency.

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  1. Industrial Systems Engineering and Management, National University of Singapore, Singapore, Singapore

    Victor John M. Cantor & Kim Leng Poh

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  1. Victor John M. Cantor
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  2. Kim Leng Poh
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Correspondence to Victor John M. Cantor.

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This article is part of the Topical Collection on Systems-Level Quality Improvement

Appendices

Appendix 1

Table 4 Description of the 57 selected studies
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Appendix 2

Table 5 Classification of integrated approaches
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Appendix 3

Table 6 Frequency (percentage) of input-output combination (for capacity-related inputs)
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Appendix 4

Table 7 Frequency (percentage) of input-output combination (for labor-related inputs)
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Appendix 5

Table 8 Frequency (percentage) of input-output combination (for expenses-related inputs)
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Cantor, V.J.M., Poh, K.L. Integrated Analysis of Healthcare Efficiency: A Systematic Review. J Med Syst 42, 8 (2018). https://doi.org/10.1007/s10916-017-0848-7

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  • DOI: https://doi.org/10.1007/s10916-017-0848-7

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