Needs-based planning for the oral health workforce - development and application of a simulation model

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dc.contributor.author Ahern, Susan
dc.contributor.author Woods, Noel
dc.contributor.author Kalmus, Olivier
dc.contributor.author Birch, Stephen
dc.contributor.author Listl, Stefan
dc.date.accessioned 2019-09-17T13:42:38Z
dc.date.available 2019-09-17T13:42:38Z
dc.date.issued 2019-07-15
dc.identifier.citation Ahern, S., Woods, N., Kalmus, O., Birch, S. and Listl, S. (2019) 'Needs-based planning for the oral health workforce - development and application of a simulation model', Human Resources for Health, 17(1), 55. (9pp.) DOI: 10.1186/s12960-019-0394-0 en
dc.identifier.volume 17 en
dc.identifier.issued 1 en
dc.identifier.startpage 1 en
dc.identifier.endpage 9 en
dc.identifier.uri http://hdl.handle.net/10468/8541
dc.identifier.doi 10.1186/s12960-019-0394-0 en
dc.description.abstract Background: The World Health Organization’s global strategy on human resources for health includes an objective to align investment in human resources for health with the current and future needs of the population. Although oral health is a key indicator of overall health and wellbeing, and oral diseases are the most common noncommunicable diseases affecting half the world’s population, oral health workforce planning efforts have been limited to simplistic target dentist-population or constant services-population ratios which do not account for levels of and changes in population need. Against this backdrop, our aim was to develop and operationalise an oral health needs-based workforce planning simulation tool. Methods: Using a conceptual framework put forward in the literature, we aimed to build the model in Microsoft Excel and apply it in a hypothetical context to demonstrate its operability. The model incorporates a provider supply component and a provider requirement component, enabling a comparison of the current and future supply of and requirement for oral health workers. Publicly available data, including the Special Eurobarometer 330 Oral Health Survey, were used to populate the model. Assumptions were made where data were not publicly available and key assumptions were tested in scenario analyses. Results: We have systematically developed a needs-based workforce planning model for the oral health workforce and applied the model in a hypothetical context over a 30-year time span. In the 2017 baseline scenario, the model produced a full-time equivalent (FTE) provider requirement figure of 899 dentists compared with an FTE provider supply figure of 1985. In the scenario analyses, the FTE provider requirement figure ranged from 1123 to 1629 illustrating the extent of the impact of changing parameter values. Conclusions: In response to policy makers’ recognition of the pressing need to better plan human resources for health and the scarcity of work in this area for dentistry, we have demonstrated the feasibility of producing a workable, practical and useful needs-based workforce planning simulation tool for the oral health workforce. In doing so, we have highlighted the challenges faced in accessing timely and relevant data needed to populate such models and ensure the reliability of model outputs. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher BioMed Central Ltd en
dc.relation.uri https://human-resources-health.biomedcentral.com/articles/10.1186/s12960-019-0394-0
dc.rights ©he Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. en
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ en
dc.subject Oral health en
dc.subject Workforce planning en
dc.subject Needs-based en
dc.subject Provider supply en
dc.subject Provider requirement en
dc.title Needs-based planning for the oral health workforce - development and application of a simulation model en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Susan Ahern, Oral Health Services Research Centre, Cork University Dental School & Hospital, University College Cork, Cork, Ireland. +353-21-490-3000 Email: susan.ahern@ucc.ie en
dc.internal.availability Full text available en
dc.description.version Published Version en
dc.contributor.funder Horizon 2020 en
dc.description.status Peer reviewed en
dc.identifier.journaltitle Human Resources for Health en
dc.internal.IRISemailaddress susan.ahern@ucc.ie en
dc.identifier.articleid 55 en
dc.relation.project info:eu-repo/grantAgreement/EC/H2020::RIA/635183/EU/Added Value for Oral Care/ADVOCATE en
dc.identifier.eissn 1478-4491


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©he Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. Except where otherwise noted, this item's license is described as ©he Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
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