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

Ji Young Lim; Mi Ja Kim; Chang Gi Park; Jung Yun Kim

doi:10.11111/jkana.2011.17.1.54

Journal List > J Korean Acad Nurs Adm > v.17(1) > 1051621

Go to TopGo to Top Go to BottomGo to Bottom

TOOLS

Lim, Kim, Park, and Kim: Evaluation of Efficiency of Community Visiting Health Service Units - A Demonstration of Using Data Envelopment Analysis (DEA) -

Original Article

Journal of Korean Academy of Nursing Administration

Journal of Korean Academy of Nursing Administration 2011; 17(1): 54-65.

Published online: 31 March 2011

DOI: https://doi.org/10.11111/jkana.2011.17.1.54

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

Ji Young Lim¹, Mi Ja Kim², Chang Gi Park³, Jung Yun Kim⁴

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 2 November 2010 Revised 4 December 2010 Accepted 6 December 2010

Abstract

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.

Keywords: Community health nursing, Efficiency, Evaluation

Figures and Tables

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

References

1. Azizi KH, Lotfi FH, Saati S, Vahidi AR. Ranking the electricity producer companies in view of manpower efficiency by DEA. Appl Math Sci. 2007. 1(16):761–768.

2. Birgun S, Akten N. Relative efficiencies of seaport container terminals: A DEA perspective. Int J Integr Supply Manag. 2005. 1(4):442–456.

3. Charnes A, Cooper W, Rhodes E. Measuring the efficiency of decision making units. Eur J Oper Res. 1978. 2(6):429–444.

4. Golany B, Roll Y, Ryback D. Measuring efficiency of power plants in Isrel by data envelopment analysis. IEEE Trans Eng Manag. 1994. 41(3):291–301.

5. Jeong H, Lee K. Efficiency of public hospitals and their social role. Korean J Health Policy Adm. 1996. 6(2):1–13.

6. Kim H, Lee H. Analysis of the efficiency of the urban development corporations in regional government using data envelopment analysis. Korea Spat Plann Rev. 2005. 47:77–88.

7. Kim JH. The study on the measurement of the community center' efficiency by DEA; The case of Seoul in Korea. 2005. Seoul: Dongguk University;Unpublished master's thesis.

8. Kim SN. Efficiency evaluation of teaching hospital with DEA. 2004. Incheon: Inha University;Unpublished master's thesis.

9. Lee TW. Economic evaluation of visiting nurse services for the low-income elderly with long-term care needs. J Korean Acad Nurs. 2004. 34(1):191–201.

10. Lien D, Peng Y. Measuring the efficiency of search engines: An application of data envelopment analysis. Appl Econ. 1999. 31(12):1581–1587.

11. Ministry of Health, Welfare and Family Affairs. Guideline of evaluation of customized visiting health care, 2008. 2008. 10. Seoul: Ministry of Health, Welfare and Family Affairs.

12. Park C. Measuring production efficiency using data envelopment analysis. Korean J Health Policy Adm. 1996. 6(2):91–114.

13. Ryu HS. The effects on home visiting nursing service for community based disabled persons. J Korean Acad Nurs. 2001. 31(6):1098–1108.

14. Song TM. Analysis of relative efficiency of smoking cessation clinics at health center. Health Welf Policy Forum. 2006. 117:41–50.

15. Suck YK. A study of evaluation of non-profit organization using DEA. Sun Moon J Soc Sci. 2000. 3:263–278.

16. Won JS, Kim KH. Evaluation of cognitive functions, depression, life satisfaction among the elderly receiving visiting nursing services. J Korean Acad Nurs. 2008. 38(1):1–10.

17. Yoo K. Data envelopment analysis for assessing the relative efficiency of public sector. J Jeonbuk Adm. 2000. 14(2):1–20.

18. Yoon KJ. Using DEA to measure the efficiency of local health centers. Korean Policy Stud Rev. 1996. 5(1):80–109.

TOOLS

Similar articles