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Technical Efficiency Measurement of Nursing Departments from Korean General Hospitals Using Data Envelopment Analysis

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KMID : 1164520140320020014
Á¤À¯¹Ì ( Jung Yoo-Mi ) - ±¹±º°£È£»ç°üÇб³

¹Ú¼º¾Ö ( Park Sung-Ae ) - ¼­¿ï´ëÇб³ °£È£´ëÇÐ
±èÁøÇö ( Kim Jin-Hyun ) - ¼­¿ï´ëÇб³ °£È£´ëÇÐ

Abstract

Purpose : With the recognition of an imbalance in performance measurement, nursing organizations need to focus on efficiency as much as effectiveness. Although many studies have evaluated efficiency of nursing organizations with data envelopment analysis (DEA), they were usually confined to wards or nursing homes rather than a nursing department as a whole. This study aimed to measure technical efficiency of nursing departments of South Korean general hospitals using DEA and to identify its determinants. A Descriptive study design was used. 140 nursing departments from general hospitals across the nation were recruited as the decision making units (DMUs) for this study.

Methods : Two input and three output variables were employed for the input-oriented VRS model. And seven determinants were chosen for the two-part model. For the analyses, the 140 DMUs were classified into three groups according to the number of beds available as a way to keep them homogeneous.

Results : The efficiency frontier for each group was estimated, and each group had technically efficient DMUs of more than 30%. The technical efficiency score of the average DMU from each group was around 0.8. The ratio of FTE RNs to inpatients per day and length of stay were negative influencing factor of the level of technical efficiency of inefficient DMUs.

Conclusion : Nurse managers should be careful not to achieve technical efficiency of their organization at the expense of quality of care. At the same time, they should not ignore efficiency in pursuit of quality of care.
KeyWords
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Data Envelopment Analysis, General Hospital, Nursing Department, Technical Efficiency
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