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Original Article

Evaluation of Efficiency of Community Visiting Health Service Units: A Demonstration of Using Data Envelopment Analysis (DEA)

Journal of Korean Academy of Nursing Administration 2011;17(1):54-65.
Published online: March 31, 2011

1Professor, Department of Nursing, Inha University, Korea.

2Professor, College of Nursing, University of Illinois at Chicago, USA.

3Senior Health Economist, College of Nursing, University of Illinois at Chicago, USA.

4Team Manager, Women's Policy Division, Incheon Metropolitan City Hall, Korea.

Correspondence: Lim, Ji Young. Department of Nursing, Inha University #253, Younghyun-Dong, Nam-Gu, Incheon 402-751, Korea. Tel: 82-32-860-8210, Fax: 82-32-874-5880, lim20712@inha.ac.kr
• Received: November 2, 2010   • Revised: December 4, 2010   • Accepted: December 6, 2010

Copyright © 2011 Korean Academy of Nursing Administration

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  • Purpose
    The aim of this study was to evaluate the efficiency of community visiting health service units using DEA and to compare the results with those of traditional evaluation methods.
  • Methods
    Data were collected using 2008 annual reports of 10 districts in one city. Input variables were number of staff and operational budget per year and output variables were number of managed household per nurse, rate of controlled hypertension, and diabetes mellitus. EMS Window version 3.1 was used to measure efficiency score and bootstrapping Chi-square test was applied to identify differences between efficient and non-efficient unit by organizational factors.
  • Results
    The average efficiency score of 10 community visiting health services was about 66%. Only two of the units operated program efficiently. The career of the staff was one among other factors associated with efficiency. The evaluation results from the traditional method and DEA were totally different.
  • Conclusion
    These results indicate that, evaluation methods have very important and significant effects on the evaluation results of community visiting health service units. The DEA method is recommend as an alterative method for evaluating community visiting health service.
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Table 1
General characteristics of input, output and organizational factors of DMU*
jkana-17-54-i001.jpg

*Decision Making Unit

Table 2
Efficiency scores for community visiting health services units
jkana-17-54-i002.jpg

*Decision Making Unit

Table 3
Inefficiencies of each input and output variables
jkana-17-54-i003.jpg

*Decision Making Unit

Table 4
Differences of effective DMU* and non-Effective DMU among organizational factors by bootstrapping
jkana-17-54-i004.jpg

*Decision Making Unit

Table 5
Comparison of evaluation results between traditional method and efficiency score of DEA
jkana-17-54-i005.jpg

*Decision Making Unit

Figure & Data

References

    Citations

    Citations to this article as recorded by  
    • Non-human and human service efficiency of long-term care facilities in China
      Liangwen Zhang, Ying Han, Ya Fang
      Frontiers in Public Health.2023;[Epub]     CrossRef
    • Profile of the accelerated second-degree bachelor of science in nursing program graduates and analysis of relative efficiency of programs
      Seung-Hyeon Yang, Hyejung Lee, Hyo Yeong Kim, Ari Min, Euiyoung Cho
      The Journal of Korean Academic Society of Nursing Education.2020; 26(4): 374.     CrossRef
    • Evaluating Technical Efficiency of Nursing Care Using Data Envelopment Analysis and Multilevel Modeling
      Ari Min, Chang Gi Park, Linda D. Scott
      Western Journal of Nursing Research.2016; 38(11): 1489.     CrossRef
    • Ethical concerns of visiting nurses caring for older people in the community
      Kwisoon Choe, Kisook Kim, Kyoung-Sook Lee
      Nursing Ethics.2015; 22(6): 700.     CrossRef

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    Evaluation of Efficiency of Community Visiting Health Service Units: A Demonstration of Using Data Envelopment Analysis (DEA)
    J Korean Acad Nurs Adm. 2011;17(1):54-65.   Published online March 31, 2011
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    Evaluation of Efficiency of Community Visiting Health Service Units: A Demonstration of Using Data Envelopment Analysis (DEA)
    J Korean Acad Nurs Adm. 2011;17(1):54-65.   Published online March 31, 2011
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    Evaluation of Efficiency of Community Visiting Health Service Units: A Demonstration of Using Data Envelopment Analysis (DEA)
    Evaluation of Efficiency of Community Visiting Health Service Units: A Demonstration of Using Data Envelopment Analysis (DEA)

    General characteristics of input, output and organizational factors of DMU*

    *Decision Making Unit

    Efficiency scores for community visiting health services units

    *Decision Making Unit

    Inefficiencies of each input and output variables

    *Decision Making Unit

    Differences of effective DMU* and non-Effective DMU among organizational factors by bootstrapping

    *Decision Making Unit

    Comparison of evaluation results between traditional method and efficiency score of DEA

    *Decision Making Unit

    Table 1 General characteristics of input, output and organizational factors of DMU*

    *Decision Making Unit

    Table 2 Efficiency scores for community visiting health services units

    *Decision Making Unit

    Table 3 Inefficiencies of each input and output variables

    *Decision Making Unit

    Table 4 Differences of effective DMU* and non-Effective DMU among organizational factors by bootstrapping

    *Decision Making Unit

    Table 5 Comparison of evaluation results between traditional method and efficiency score of DEA

    *Decision Making Unit

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