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

Ramli, Mohamad Raziff and Abal Abas, Zuraida and Desa, Mohammad Ishak and Saleh, Nordin and Aziz, Nuraini and Shibghatullah, Abdul Samad and Abdul Rahman, Ahmad Fadzli Nizam and Zainal Abidin, Zaheera (2022) An applied requirement simulation model to forecast the needs of nursing services in the Malaysian health sector. International Journal of Human Resources Development and Management, 22 (3-4). pp. 142-166. ISSN 1465-6612

Text 10. AN APPLIED REQUIREMENT SIMULATION MODEL TO FORECAST THE NEEDS OF NURSING SERVICES IN THE MALAYSIAN HEALTH SECTOR.PDF Restricted to Registered users only Download (699kB)

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.

Item Type:	Article
Uncontrolled Keywords:	Needs, Nurse workforce, Health human resources planning, Policy analysis
Divisions:	Faculty of Information and Communication Technology
Depositing User:	Sabariah Ismail
Date Deposited:	02 Mar 2023 12:11
Last Modified:	09 Jun 2023 15:53
URI:	http://eprints.utem.edu.my/id/eprint/26219
Statistic Details:	View Download Statistic

Actions (login required)

View Item