• Title/Summary/Keyword: Nurse demand forecasting

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A Critical Review of Nurse Demand Forecasting Methods in Empirical Studies 1991~2014 (간호사 인력의 수요추계 방법론에 대한 비판적 검토: 1991~2014년간의 실증연구를 중심으로)

  • Jeong, Suyong;Kim, Jinhyun
    • Perspectives in Nursing Science
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    • v.13 no.2
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    • pp.81-87
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    • 2016
  • 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.

The Development and Simulation of Training Cost Estimating Model for the Operation of the Nurse Residency Program (신규간호사 교육 프로그램(Nurse Residency Program) 운영을 위한 교육비용 산출 모형 개발 및 모의 적용)

  • Jung, Hanna;An, Shinki
    • Korea Journal of Hospital Management
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    • v.25 no.4
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    • pp.60-75
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    • 2020
  • Purpose: This study aims to develop a cost model for NRP (Nursing Residency Program) operation and ultimately provide evidence for financial factors for NRP operation in the future by simulating a cost model. Methodology: This study developed a model for the NRP education cost calculation model based on the review of Hansen's model, which has systematically reported on the development and operation of NRP, and discussions with nursing education experts at a university-affiliated hospital. With the simulation, it was intended to predict nurses' supply and demand in the long term and to calculate changes in long-term education costs. Findings: Firstly, turnover model, term model, cost model necessary for calculating a model for the NRP education cost calculation model was set up. Secondly, the simulation showed the following results; 1) the proportion of newly graduated nurses less than 5 years of working decreases gradually over time, which will make the composition of nurses more balanced. 2) In the first year of the partial introduction of NRP, the cost of training new nurses was about 2.1 times higher than before. After the introduction, the training cost in the 13th year began to be lesser than before the introduction, and in the 25th year, it decreased by 28.1% compared to before the introduction. Practical Implications: Firstly, NRP would be an effective way to solve the higher turnover and frequent departure of new nurses and the imbalance of nurses' composition. Secondly, although the costs of NRP are incurred in the early stages, in the end, NRP training costs are reduced compared to before the introduction of NRP. It is necessary to systematically understand the contribution effect of NRP by analyzing the economic value of NRP considering financial and non-monetary returns in the future and providing a basis for decision-making related to NRP implementation.

Demand Prospect of Professional Workers in Execution of the Elderly's Long-Term Care Insurance -Nurse, Social Welfare, Care Probation Professional workers- (노인 장기요양 보험제도 실시에 따른 전문직종사자의 수요 예측 -간호사, 사회복지사, 요양보호사를 중심으로-)

  • Park, Myung-Sun;Kang, Sang-Mok
    • Communications for Statistical Applications and Methods
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    • v.17 no.3
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    • pp.423-440
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    • 2010
  • The purpose of this paper is to prepare the department creation and the staff increase of education institution by forecasting the demand of health and welfare workers according to execution of the elderly's long-terms treatment insurance system in July, 2008. We estimated confirmors of the elderly's long-terms treatment and the demand of professional workers of health and welfare field due to the increase of care insurance users in facilities treatment organization, care at home service facilities, and family allowance facilities for 2010-2030. The numbers of social welfare professional worker are estimated as 16,624 workers in 2020 and 24,688 workers in 2030. The numbers of nurses are forecasted as 11.287 in 2020 and 16,624 in 2030, we expect that the increase of the demand be accelerated. The demand of necessary care probation worker is 44,824 in 2009, but we already trained over around 500,000 workers in 1,078 education institutions through one year in Aug. 31, 2009, which excesses over the numbers of workers demanded as much as 10 times.