ArticleHealth care management science2018
A supply model for nurse workforce projection in Malaysia.
Article in Health care management science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A System Dynamics Simulation Applied to Healthcare: A Systematic Review.International journal of environmental research and public health · 2020Pooled it
- Streamlining Hospital Planning: A User-Friendly Decision Support Tool for Enhanced Healthcare Delivery.The International journal of health planning and management · 2026Article
- Self-sufficiency in the healthcare workforce: a system dynamics model of the domestic and foreign educated nursing and midwifery workforce in Ireland.Human resources for health · 2025Article
- Slack Is Needed to Solve the Shortage of Nurses.Healthcare (Basel, Switzerland) · 2024Article
- Critical thinking abilities among newly graduated nurses: A cross-sectional survey study in China.Nursing open · 2023Article
- Article
- Projecting the burden of dental caries and periodontal diseases among the adult population in the United Kingdom using a multi-state population model.Frontiers in public health · 2023Article
- An evaluation of the impact of aggressive hypertension, diabetes and smoking cessation management on CVD outcomes at the population level: a dynamic simulation analysis.BMC public health · 2019Article
- Needs-based planning for the oral health workforce - development and application of a simulation model.Human resources for health · 2019Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
The paper aims to provide an insight into the significance of having a simulation model to forecast the supply of registered nurses for health workforce planning policy using System Dynamics. A model is highly in demand to predict the workforce demand for nurses in the future, which it supports for complete development of a needs-based nurse workforce projection using Malaysia as a case study. The supply model consists of three sub-models to forecast the number of registered nurses for the next 15 years: training model, population model and Full Time Equivalent (FTE) model. In fact, the training model is for predicting the number of newly registered nurses after training is completed. Furthermore, the population model is for indicating the number of registered nurses in the nation and the FTE model is useful for counting the number of registered nurses with direct patient care. Each model is described in detail with the logical connection and mathematical governing equation for accurate forecasting. The supply model is validated using error analysis approach in terms of the root mean square percent error and the Theil inequality statistics, which is mportant for evaluating the simulation results. Moreover, the output of simulation results provides a useful insight for policy makers as a what-if analysis is conducted. Some recommendations are proposed in order to deal with the nursing deficit. It must be noted that the results from the simulation model will be used for the next stage of the Needs-Based Nurse Workforce projection project. The impact of this study is that it provides the ability for greater planning and policy making with better predictions.
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Registered trials
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