A Critical Review of Nurse Demand Forecasting Methods in Empirical Studies 1991~2014
Author(s) -
Suyong Jeong,
Jinhyun Kim
Publication year - 2016
Publication title -
perspectives in nursing science
Language(s) - English
Resource type - Journals
eISSN - 2288-7687
pISSN - 2288-2898
DOI - 10.16952/pns.2016.13.2.81
Subject(s) - variety (cybernetics) , workforce , demand forecasting , workforce planning , empirical research , supply and demand , economics , computer science , operations management , microeconomics , statistics , economic growth , mathematics , artificial intelligence
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.
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