Se Young Kim; Eun-Kyung Kim; Heon Man Lim; Mi Young Lee; Kwang-Ok Park; Kyoung A Lee

doi:10.4040/jkan.2013.43.1.20

Articles

Page Path: HOME > J Korean Acad Nurs > Volume 43(1); 2013 > Article

Original Article
Structural Equation Modeling on Nursing Productivity of Nurses in Korea: Se Young Kim, Eun-Kyung Kim, Heon Man Lim, Mi Young Lee, Kwang-Ok Park, Kyoung A Lee; Journal of Korean Academy of Nursing 2013;43(1):20-29.
DOI: https://doi.org/10.4040/jkan.2013.43.1.20
Published online: February 28, 2013

¹College of Nursing, Eulji University, Daejeon, Korea.

²Department of Nursing, Chungbuk National University, Cheongju, Korea.

³Appenzeller School of Public Administration, Paichai University, Daejeon, Korea.

⁴Nursing Department, Eulji University Hospital, Daejeon, Korea.

⁵Department of Nursing, Sunchon National University, College of Life Science and Natural Resources, Sunchon, Korea.

⁶The Research Institute of Nursing Science, Seoul National University, Seoul, Korea.

Address reprint requests to: Kim, Eun-Kyung. Department of Nursing, Chungbuk National University, 52 Naesudong-ro, Heungduk-gu, Cheongju Chungbuk 361-763, Korea. Tel: +82-43-249-1730, Fax: +82-43-249-1711, kyung11@chungbuk.ac.kr

• Received: April 20, 2012 • Accepted: September 18, 2012

24 Views
0 Download
9 Scopus

prev next

Full Article

Download PDF

Abstract
NOTES
REFERENCES

Abstract

Purpose
The purpose of this study was to propose and test a predictive model that could explain and predict nursing productivity.
Methods
A survey using a structured questionnaire was conducted with 360 nurses in Korea. The data were analyzed using SPSS Windows 18.0 and AMOS 19.0 program.
Results
Based on the constructed model, burnout and organizational commitment were found to have direct effects on nurses' turnover intention and nursing productivity. While nursing work environment was found to have indirect effects on nurses' turnover intention and nursing productivity.
Conclusion
This structural equational model is a comprehensive theoretical model that explains the related factors and their relationship with nursing productivity. Comprehensive organizational interventions to improve nursing productivity should focus on improving the nursing work environment. Findings from this study can be used to design appropriate strategies to decrease nurse turnover in Korea. Further studies are needed to prospectively verify these causal relationships with larger samples.
Keywords: Efficiency organizational; Personnel turnover; Environment

This study was supported by Eulji University in 2010 (EJRG-10-002-11E36).

REFERENCES

1. Aiken LH, Clarke SP, Sloane DM, Lake ET, Cheney T. Effects of hospital care environment on patient mortality and nurse outcomes. J Nurs Adm. 2008;38(5):223–229. http://dx.doi.org/10.1097/01.NNA.0000312773.42352.d7.Article PubMed PMC
2. Aiken LH, Clarke SP, Sloane DM, Sochalski J, Silber JH. Hospital nurse staffing and patient mortality, nurse burnout, and job dissatisfaction. JAMA. 2002;288(16):1987–1993. http://dx.doi.org/10.1001/jama.288.16.1987.Article PubMed
3. Baernholdt M, Mark BA. The nurse work environment, job satisfaction and turnover rates in rural and urban nursing units. J Nurs Manag. 2009;17(8):994–1001. http://dx.doi.org/10.1111/j.1365-2834.2009.01027.x.Article PubMed PMC
4. Bain DL. The productivity prescription: the manager's guide to improving productivity and profits. 1982;New York, McGraw-Hill.
5. Cho E, Choi M, Kim EY, Yoo IY, Lee NJ. Construct validity and reliability of the Korean version of the practice environment scale of nursing work index for Korean nurses. J Korean Acad Nurs. 2011;41(3):325–332. http://dx.doi.org/10.4040/jkan.2011.41.3.325.Article PubMed
6. Coomber B, Barriball KL. Impact of job satisfaction components on intent to leave and turnover for hospital-based nurses: A review of the research literature. Int J Nurs Stud. 2007;44(2):297–314. http://dx.doi.org/10.1016/j.ijnurstu.2006.02.004.Article PubMed
7. Eaton-Spiva L, Buitrago P, Trotter L, Macy A, Lariscy M, Johnson D. Assessing and redesigning the nursing practice environment. J Nurs Adm. 2010;40(1):36–42. http://dx.doi.org/10.1097/NNA.0b013e3181c47d04.Article PubMed
8. Ha NS, Choi J. The relationship among leadership styles of nurse managers, job satisfaction, organizational commitment, andturnover intention. J Korean Acad Nurs. 2002;32(6):812–822.Article PDF
9. Ha NS, Park HM. The effects of perception of internal marketing on performance of nursing organization. Clin Nurs Res. 2007;13(2):7–16.
10. Hair JF, Black B, Babin B, Anderson RE, Tatham RL. Multivariate data analysis. 2006;6th ed. New York, Prentice Hall.
11. Ingersoll GL, Olsan T, Drew-Cates J, DeVinney BC, Davies J. Nurses' job satisfaction, organizational commitment, and career intent. J Nurs Adm. 2002;32(5):250–263. http://dx.doi.org/10.1097/00005110-200205000-00005.Article PubMed
12. Jeong JH. Structural equation modeling on nursing productivity of nurses in a hospital. 2008;Seoul, Chung-Ang University. Unpublished doctoral dissertation.
13. Jeong YM, Kang YS. The effect of job stress and burnout by job environment of care-givers on job satisfaction. J Korea Acad Ind Coop Soc. 2010;11(10):3688–3699. http://dx.doi.org/10.5762/KAIS.2010.11.10.3688.Article
14. June KJ, Byun SW. Nurse's burnout research throughout the past 10 years in Korea. J Korean Acad Nurs Adm. 2009;15(3):305–313.
15. Kim HK, Ji HS, Ryu EK, Lee HJ, Yun SE, Jeon MK, et al. Factors influencing on burnout of the nurses in hospitals. Clin Nurs Res. 2005;10(2):7–18.
16. Kramer M, Schalenberg C. Essentials of a magnetic work environment, part 1. Nursing. 2004;34(6):50–54.Article
17. Lake ET. Development of the practice environment scale of the Nursing Work Index. Res Nurs Health. 2002;25(3):176–188. http://dx.doi.org/10.1002/nur.10032.Article PubMed
18. Lee HJ. Predictors of job performance, work satisfaction, and productivity among Korean hospital nurses. J Korean Acad Nurs Adm. 2001;31(4):571–583.Article PDF
19. Lee MH. Relationship between organizational culture types and organizational effectiveness in hospitals. 1998;Daejeon, Chungnam National University. Unpublished doctoral dissertation.
20. Lee YJ, Kim KB. Experiences of nurse turnover. J Korean Acad Nurs. 2008;38(2):248–257. http://dx.doi.org/10.4040/jkan.2008.38.2.248.Article
21. McNeese-Smith D. Job satisfaction, productivity, and organizational commitment. The result of leadership. J Nurs Adm. 1995;25(9):17–26. http://dx.doi.org/10.1097/00005110-199509000-00006.
22. McNeese-Smith DK. A nursing shortage: Building organizational commitment among nurses. J Healthc Manag. 2001;46(3):173–186.Article PubMed
23. Moody RC. Nurse productivity measures for the 21st century. Health Care Manage Rev. 2004;29(2):98–106. http://dx.doi.org/10.1097/00004010-200404000-00003.Article PubMed
24. Moon SJ, Han SS. A predictive model on turnover intentionof nurses in Korea. J Korean Acad Nurs. 2011;41(5):633–641. http://dx.doi.org/10.4040/jkan.2011.41.5.633.Article PubMed
25. Oh YH, Jo JG, Kim JH, Ji YG. Mid-to long-term supply and demand projection of healthcare workforce. 2010;Seoul, National Health Personnel Licensing Examination Board.
26. Park GJ, Kim YN. Factors influencing organizational commitment among hospital nurses. J Korean Acad Nurs Adm. 2010;16(3):250–258.Article
27. Park HS. Relationship between perceived nursing care role orientation, job characteristics, and turnover among nurses. 2002;Yonsei University, Seoul. Unpublished master's thesis.
28. Park JS, Park BN. The influence of empowerment on job satisfaction, task performance and turnover intention by hospital nurses. J Korean Acad Nurs Adm. 2008;14(2):150–158.
29. Park KO. A study of variables related to nursing productivity. J Nurs Acad Soc. 1994;24(4):584–596.Article PDF
30. Peltier J, Nill A, Schibrowsky JA. Internal marketing, nurse loyalty and relationship marketing: An exploratory study of German nurses. Health Mark Q. 2003;20(4):63–82. http://dx.doi.org/10.1300/J026v20n04_05.PubMed
31. Shields MA, Ward M. Improving nurse retention in the National Health Service in England: The impact of job satisfaction on intentions to quit. J Health Econ. 2001;20(5):677–701. http://dx.doi.org/10.1016/S0167-6296(01)00092-3.Article PubMed

Figure 1

Hypothetical model with parameter estimates for nursing productivity

Figure 2

Path diagram of the model.

Table 1

Pearson Coefficient Correlation for Measured Variables (N=360)

^*Correlation is significant at the 0.05 level (2-tailed); ^**Correlation is significant at the 0.01 level (2-tailed).

Table 2

Parameter Estimates and SMC of Modified Structural Model (N=360)

CR=Critical ratio; SMC=Squared multiple correlation.

Table 3

Effect of Predictor Variables in the Modified Model (N=360)

SMC=Squared multiple correlation.

^*p<.05; ^**p<.01.

Figure & Data

REFERENCES

Citations

Citations to this article as recorded by

Cite

CITE: export Copy Download Format; Close

Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format: