Perspect Nurs Sci.  2016 Oct;13(2):81-87. 10.16952/pns.2016.13.2.81.

A Critical Review of Nurse Demand Forecasting Methods in Empirical Studies 1991~2014

Affiliations
  • 1Graduate Student, College of Nursing, Seoul National University, Seoul, Korea.
  • 2Professor, College of Nursing, Seoul National University, Seoul, Korea. jinhyun@snu.ac.kr

Abstract

PURPOSE
The aim of this study is to review the nurse demand forecasting methods in empirical studies published during 1991~2014 and suggest ideas to improve the validity in nurse demand forecasting.
METHODS
Previous studies on nurse demand forecasting methodology were categorized into four groups: time series analysis, top-down approach of workforce requirement, bottom-up approach of workforce requirement, and labor market analysis. Major methodological properties of each group were summarized and compared.
RESULTS
Time series analysis and top-down approach were the most frequently used forecasting methodologies.
CONCLUSION
To improve decision-making in nursing workforce planning, stakeholders should consider a variety of demand forecasting methods and appraise the validity of forecasting nurse demand.

Keyword

Nurse demand; Nursing workforce; Nurse demand forecasting; Demand for nurse

MeSH Terms

Forecasting*
Methods*
Nursing

Reference

1.Bright JR. Practical technology forecasting: concepts and exercises. Austin: Industrial Management Center;1978.
2.Aiken LH., Sloane DM., Bruyneel L., Van den Heede K., Griffiths P., Busse R, et al. Nurse staffing and education and hospital mortality in nine European countries: a retrospective observational study. Lancet. 2014. 383(9931):1824–30. http://dx.doi.org/10.1016/s0140-6736(13)62631-8.
Article
3.Needleman J., Buerhaus PI., Pankratz VS., Leibson CL., Stevens SR., Harris M. Nurse staffing and inpatient hospital mortality. N Engl J Med. 2011. 364(11):1037–45. http://dx.doi.org/10.1056/nejmsa1001025.
Article
4.Cho SH., Ketefian S., Barkauskas VH., Smith DG. The effects of nurse staffing on adverse events, morbidity, mortality, and medical costs. Nurs Res. 2003. 52(2):71–9. http://dx.doi.org/10.1097/00006199-200303000-00003.
Article
5.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):1987–93. http://dx.doi.org/10.1001/jama.288.16.1987.
Article
6.Spetz J. Too many, too few, or just right? making sense of conflicting RN supply and demand forecasts. Nurs Econ. 2015. 33(3):176–85.
7.Spetz J., Kovner CT. How can we obtain data on the demand for nurses? Nurs Econ. 2013. 31(4):203–7.
8.Jang CW., Lee SD., Yoon YI. Current state and projections of manpower demands [Internet]. Seoul: Korea Research Institute for Vocational Education and Training;2004. Available from:. http://www.krivet.re.kr/ku/ca/prg_kuAABvwVw.jsp?gn=E1-E120140256#//.
9.Hichliffe K., Youdi RV. Forecasting skilled-manpower needs: the experience of eleven countries. Paris: Unesco;1985.
10.Leanring CCo. Is it possible to accurately forecast labour market needs? Ottawa: Canadian Council on Learning. 2007.
11.Wong J., Chan A., Chiang YH. A critical review of forecasting models to predict manpower demand. Australas J Constr Econ Build. 2012. 4(2):43–56.
Article
12.Wong J. Forecasting manpower demand in the construction industry of Hong Kong [dissertation]. Hong Kong: Hong Kong Polytechnic University;2006.
13.Park YC. Forecasting labor on administration in construction industry. J Policy Dev. 2005. 5(1):89–113.
14.Devine C., McClean S., Reid N. Nurse manpower demand: a review of United Kingdom methodologies. J Adv Nurs. 1993. 18(11):1833–9. http://dx.doi.org/10.1046/j.1365-2648.1993.18111833.x.
Article
15.Ono T., Lafortune G., Schoenstein M. Health workforce planning in OECD Countries: a review of 26 projection models from 18 countries. Paris: OECD Publishing;2013.
16.Kim ES., Cho WJ., Cho WH., Lee CY., Ko IS., Jee SH, et al. Long term and short term public health manpower planningII: nurses, nurse aides, pharmacists, medical technicians. Seoul: Korea Institute for Health and Social Affairs;1991.
17.Park HA., Choi YH., Ko IS., Lee SJ., Chang HS., Jeon CY. The supply and demand projection of nurses in Korea. Korean Nurs. 1993. 32(3):52–67.
18.Park HA., Choi EY. Study of nurses manpower planning in Korea: its implication for policy making. J Korean Acad Nurs. 2001. 31(7):1160–5.
Article
19.Park HA., Hyun SK., Han KJ., Park JH., Park SA. Analysis and projection of supply and demand for nursing workforce in Korea. Korean Nurse. 2002. 41(1):51–68.
20.Kim JS., Choi EY., Park HA., Lee WB. The supply and demand projection of nurses in Korea. Korean J Health Policy Adm. 1999. 9(3):33–52.
21.Jo JG., Lee SY., Kim EJ., Song HJ., Yoon KJ. A study on the demand for and supply of nurse manpower. Seoul: Korea Institute for Health and Social Affairs;2005.
22.Oh Y. The demand and supply of registered nurses in Korea and policy recommendations. Health Soc Welf Rev. 2008. 28(1):68–86.
23.Oh Y. The future requirements and supply of registered nurses in Korea. Korean J Health Econ Policy. 2010. 16(3):139–61.
24.Oh Y. Long-term supply and demand projections for health workforce: 2015-2030. Seoul: Korea Institute for Health and Social Affairs;2014.
25.Labor Standards Act [Internet]. Sejong: National Law Information Center;2014. Jan [cited 2016 July 26]. Available from:. http://www.law.go.kr/main.html.
26.Enforcement Regulations of the Medical Service Act [Internet]. Sejong: National Law Information Center;2016. Jun [cited 2016 July 26]. Available from:. http://www.law.go.kr/main.html.
27.Armstrong JS. Principles of forecasting: a handbook for researchers and practitioners. New York: Springer Science & Business Media;2001.
28.Hirsch BT., Schumacher EJ. Underpaid or overpaid? wage analysis for nurses using job and worker attributes. South Econ J. 2012. 78(4):1096–119. http://dx.doi.org/10.4284/0038-4038-78.4.1096.
Article
29.Elliott G., Timmermann A. Economic forecasting. J Econ Lit. 2008. 46(1):3–56. http://dx.doi.org/10.1257/jel.46.1.3.
Article
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