Title: An applied requirement simulation model to forecast the needs of nursing services in the Malaysian health sector

Authors: Mohamad Raziff Ramli; Zuraida Abal Abas; Mohamad Ishak Desa; Nordin Saleh; Nuraini Aziz; Abdul Samad Shibghatullah; Ahmad Fadzli Nizam Abdul Rahman; Zaheera Zainal Abidin

Addresses: Optimisation, Modelling, Analysis and Simulation (OptiMAS) Research Group, Faculty of Information Communication and Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia ' Optimisation, Modelling, Analysis and Simulation (OptiMAS) Research Group, Faculty of Information Communication and Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia ' Optimisation, Modelling, Analysis and Simulation (OptiMAS) Research Group, Faculty of Information Communication and Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia ' Planning Division, Ministry of Health Malaysia, Kompleks E, Presint 1, Pusat Pentadbiran Kerajaan Persekutuan, 62590 Putrajaya, Malaysia ' Planning Division, Ministry of Health Malaysia, Kompleks E, Presint 1, Pusat Pentadbiran Kerajaan Persekutuan, 62590 Putrajaya, Malaysia ' Optimisation, Modelling, Analysis and Simulation (OptiMAS) Research Group, Faculty of Information Communication and Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia ' Optimisation, Modelling, Analysis and Simulation (OptiMAS) Research Group, Faculty of Information Communication and Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia ' Optimisation, Modelling, Analysis and Simulation (OptiMAS) Research Group, Faculty of Information Communication and Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia

Abstract: This paper aims to forecast the requirement of the nursing workforce for the next 15 years in Malaysia. Healthcare services act as a benchmark to estimate the requirement of the nursing workforce. The services were estimated based on the 11 types of preventive care and 91 diseases, which were modelled to calculate the total services required. System dynamics is used as a computer-aided approach to simulate the insight of all the models. This model results in the total number of nursing service time required to meet the requirement of healthcare services in a population. The results would be discussed with the supply model for gap analysis. The implication of the results discussed in this paper would help the planning division in the Ministry of Health Malaysia in determining the right number of nurses that are required to meet the needs and improve the health outcomes.

Keywords: needs; nurse workforce; health human resources planning; policy analysis.

DOI: 10.1504/IJHRDM.2022.124867

International Journal of Human Resources Development and Management, 2022 Vol.22 No.3/4, pp.142 - 166

Accepted: 01 Sep 2020
Published online: 13 Aug 2022 *

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