2018
DOI: 10.1111/1475-6773.12861
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The Determinants of the Technical Efficiency of Acute Inpatient Care in Canada

Abstract: The main drivers of efficiency of acute inpatient care vary by hospital peer groups. Thus, the results provide different policy and managerial implications for teaching, large, and medium hospitals to achieve efficiency gains.

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Cited by 6 publications
(5 citation statements)
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“…This result implies that since VA hospitals with complexity level 1 are likely to deal with high-risk mortality and provide complex treatments to high-risk patients, they should consume more input resources than VA hospitals with complexity levels 2 or 3. This finding was consistent with previous research that shows that a high Case Mix Index is the main cost driver for a hospital [ 26 ] and that a higher proportion of less complex patients contributes to the higher efficiency of a hospital [ 14 ].…”
Section: Resultssupporting
confidence: 93%
See 1 more Smart Citation
“…This result implies that since VA hospitals with complexity level 1 are likely to deal with high-risk mortality and provide complex treatments to high-risk patients, they should consume more input resources than VA hospitals with complexity levels 2 or 3. This finding was consistent with previous research that shows that a high Case Mix Index is the main cost driver for a hospital [ 26 ] and that a higher proportion of less complex patients contributes to the higher efficiency of a hospital [ 14 ].…”
Section: Resultssupporting
confidence: 93%
“…In this paper, we use the concepts of technical efficiency and frontier analysis to examine how the efficiency of VA hospitals changed before and after the Veterans Choice Act of 2014. Numerous scholars have used the concept of technical efficiency to measure performance and identify inefficient areas of hospitals in either the private or public sectors [ 3 , 4 , 5 , 6 , 12 , 13 , 14 ]. However, there has been little research on the determinants of VA hospital technical efficiency.…”
Section: Theoretical Explanations Of Technical Efficiency Determinantsmentioning
confidence: 99%
“…First, we observed a heterogeneous picture for studies that directly included undesirable outcome indicators in the efficiency model. While some authors treat undesirable outcome indicators as inputs (e.g., Guo et al 2017), others apply a linear transformation (e.g., Adang et al 2016), while still others transform them a nonlinear way (e.g., Wang et al 2018). Assuming weak disposability for undesirable outcome indicators is another possibility (e.g., Prior 2006).…”
Section: Discussionmentioning
confidence: 99%
“…Future research could expand on the results of this study by including additional ICU's. Further research could consider contrasting the communication practices between a teaching hospital and a non-teaching hospital as different hierarchies and resources exist in these settings (Wang et al, 2018). Similarly, future research could compare the results of this study with studies conducted in the community or in long-term care facilities.…”
Section: Implications For Future Researchmentioning
confidence: 97%