Modelling the future Malaysian clinician dental workforce using system dynamics
Introduction: The aim of this operational research workforce project was to build, and test, a clinical dental workforce model for Malaysia to address population need/demand with a view to informing health policy. Methods: A system dynamics (SD) model was developed to take account of population ora...
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Fakulti Perubatan dan Sains Kesihatan Universiti Putra Malaysia
2024
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my.iium.irep.1115902024-10-24T03:34:04Z http://irep.iium.edu.my/111590/ Modelling the future Malaysian clinician dental workforce using system dynamics Che Musa, Muhd Firdaus Morgan, Jennifer Harper, Paul Bernabe, Eduardo Gallagher, Jennifer E. RK Dentistry Introduction: The aim of this operational research workforce project was to build, and test, a clinical dental workforce model for Malaysia to address population need/demand with a view to informing health policy. Methods: A system dynamics (SD) model was developed to take account of population oral health needs and demands and dental workforce supply nationally from 2010 to 2040. This involved building two sub-models: population need/demand; and dental workforce supply, drawing on evidence from two previous studies (student survey and interviews of key-stakeholders) supported by government data. The two sub-models were integrated in relation to clinical time to explore potential of over- or under-supply of clinical hours; were latter converted to clinical workforce numbers. The SD model was tested and validated as an acceptable baseline model for Malaysia using existing workforce data. Results: A SD model was developed to model the need, supply and demand for dental care in two sectors from 2010 to 2040. There is a short-term need for an expanded dental workforce to meet the needs of the population but there is a potential oversupply of dentists and therapists from 2040, or earlier. The level of public demand for both primary and secondary dental care is expected to increase respectively from the year 2010 to 2040, varying in relation to demographic and health trends across public and private sectors. Conclusion: The study suggests there is are current requirements for an expanded dental workforce to serve the population needs/demand and potential for oversupply from 2040, or earlier Fakulti Perubatan dan Sains Kesihatan Universiti Putra Malaysia 2024-03-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/111590/7/111590_Modelling%20the%20future%20Malaysian%20clinician%20dental.pdf application/pdf en http://irep.iium.edu.my/111590/13/111590_Modelling%20the%20future%20Malaysian%20clinician%20dental_Scopus.pdf Che Musa, Muhd Firdaus and Morgan, Jennifer and Harper, Paul and Bernabe, Eduardo and Gallagher, Jennifer E. (2024) Modelling the future Malaysian clinician dental workforce using system dynamics. Malaysian Journal of Medicine and Health Sciences, 20 (2). pp. 122-132. ISSN 1675-8544 E-ISSN 2636-9346 https://medic.upm.edu.my/jurnal_kami/volume_20_2024/mjmhs_vol20_no_2_march_2024-78509 https://doi.org/10.47836/mjmhs.20.2.17 |
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RK Dentistry Che Musa, Muhd Firdaus Morgan, Jennifer Harper, Paul Bernabe, Eduardo Gallagher, Jennifer E. Modelling the future Malaysian clinician dental workforce using system dynamics |
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Introduction: The aim of this operational research workforce project was to build, and test, a clinical dental workforce model for Malaysia to address population need/demand with a view to informing health policy. Methods:
A system dynamics (SD) model was developed to take account of population oral health needs and demands and
dental workforce supply nationally from 2010 to 2040. This involved building two sub-models: population need/demand; and dental workforce supply, drawing on evidence from two previous studies (student survey and interviews
of key-stakeholders) supported by government data. The two sub-models were integrated in relation to clinical time
to explore potential of over- or under-supply of clinical hours; were latter converted to clinical workforce numbers.
The SD model was tested and validated as an acceptable baseline model for Malaysia using existing workforce data.
Results: A SD model was developed to model the need, supply and demand for dental care in two sectors from 2010
to 2040. There is a short-term need for an expanded dental workforce to meet the needs of the population but there
is a potential oversupply of dentists and therapists from 2040, or earlier. The level of public demand for both primary
and secondary dental care is expected to increase respectively from the year 2010 to 2040, varying in relation to
demographic and health trends across public and private sectors. Conclusion: The study suggests there is are current
requirements for an expanded dental workforce to serve the population needs/demand and potential for oversupply
from 2040, or earlier |
format |
Article |
author |
Che Musa, Muhd Firdaus Morgan, Jennifer Harper, Paul Bernabe, Eduardo Gallagher, Jennifer E. |
author_facet |
Che Musa, Muhd Firdaus Morgan, Jennifer Harper, Paul Bernabe, Eduardo Gallagher, Jennifer E. |
author_sort |
Che Musa, Muhd Firdaus |
title |
Modelling the future Malaysian clinician dental workforce using system dynamics |
title_short |
Modelling the future Malaysian clinician dental workforce using system dynamics |
title_full |
Modelling the future Malaysian clinician dental workforce using system dynamics |
title_fullStr |
Modelling the future Malaysian clinician dental workforce using system dynamics |
title_full_unstemmed |
Modelling the future Malaysian clinician dental workforce using system dynamics |
title_sort |
modelling the future malaysian clinician dental workforce using system dynamics |
publisher |
Fakulti Perubatan dan Sains Kesihatan Universiti Putra Malaysia |
publishDate |
2024 |
url |
http://irep.iium.edu.my/111590/7/111590_Modelling%20the%20future%20Malaysian%20clinician%20dental.pdf http://irep.iium.edu.my/111590/13/111590_Modelling%20the%20future%20Malaysian%20clinician%20dental_Scopus.pdf http://irep.iium.edu.my/111590/ https://medic.upm.edu.my/jurnal_kami/volume_20_2024/mjmhs_vol20_no_2_march_2024-78509 https://doi.org/10.47836/mjmhs.20.2.17 |
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