Optimization the number of nurses in the emergency department using linear programming technique

Document Type : Articles

Authors

Abstract

Introduction: Aim of current study is determination of optimal number of nurses in the emergency department of Shiraz Ali Asghar Hospital.Method: Current study is an applied study and belongs to operational research (OR) studies. The population has been studied in this research, includes records of referred patients to the emergency department of hospital in 2008. Sampling was performed in the forms of stratified (monthly) and simple for all of the records and each of months respectively. Required data collection was performed from statistics notebook and also patient’s records using data collection forms. After average determination of entering patients in a day at eight period in three hours, determining the type of provided services and also the period of offering nursing services ( with using time information)determine optimum number of required nurses in different periods of hospital with using of linear programming technique by lingo 8 software.Results: The minimum number of nurses needed in emergency department of Ali Asghar hospital regarding to desired services to the patients were obtained 1 and 3 nurses for each shift and a day respectively.Conclusion: According to the results the used number of nurses in the emergency department was more than optimum number. It seems that, obtained number of nurses from quantitative methods such as linear programming technique is much less than the calculated number experimentally by the directors of nursing.Keywords: Linear programming, Nursing services, Emergency department, Number of nurses

  1. Tavakoli M, Kianimehr M, Sherbafchizade N, Alavi A. Estimation of required nurses number in clinical wards in azzahra,Noor and Feiz hospitals 1380.first national congress on human resource management in hospital at 18&19 dey(Persian). 1381.
  2. Centeno M, Giachetti R, Linn R, Ismail A, editors. December.“A simulation-ilp based tool for scheduling ER staff”. Proceedings of the 2003 Winter Simulation Conference, edited by S Chick, PJ Sanchez, D Ferrin, and DJ Morrice; 1930.
  3. Hsieh P-J, Tan B, Lin C. An integrated approach to determine hospital outpatient staffing needs. International Journal of Healthcare Technology and Management. 2003;5(1/2):96.
  4. Witzel PA, Smith TC, Ingersoll GL. Staffing incentive programs to meet workforce shortage needs. Nurse Leader. 2006;4(1):46-55.
  5. Van den Heede K, Lesaffre E, Diya L, Vleugels A, Clarke SP, Aiken LH, et al. The relationship between inpatient cardiac surgery mortality and nurse numbers and educational level: analysis of administrative data. Int J Nurs Stud. 2009;46(6):796-803.
  6. Duckett J. application of operation research in hospital management and health planning.translate by hassan karimzadegan. Tehran:research assistant of ministry of health&medicine education.
  7. Mehregan M, Dari B, M S. Operation research(Persian). Tehran:samt. 1384.
  8. Asefzahe S, Rezapoor A. health planning (Persian). Ghazvin: hadise emrooz. 1387:123-4.
  9. Asgharpoor M. Linear programming(Persian). Tehran:puplication association of Tehran university. 1373.
  10. Ketabi S, Monzavibarzaki J. Quantitative optimization of emergency unit nursing staff in Tehran Chamran hospital by linear programming(Persian). health information management. 1385;2(3):83-91.
  11. Sinreich D, Jabali O. Staggered work shifts: a way to downsize and restructure an emergency department workforce yet maintain current operational performance. Health Care Management Science. 2007;10(3):293-308.
  12. Wijewickrama AA, Takakuwa S, editors. Simulation analysis of an outpatient department of internal medicine in a university hospital. Simulation Conference, 2006 WSC 06 Proceedings of the Winter; 2006. IEEE.
  13. J Health