scholarly journals Planning the Future Oral Health Workforce: A Rapid Review of Supply, Demand and Need Models, Data Sources and Skill Mix Considerations

2021 ◽  
Vol 18 (6) ◽  
pp. 2891
Author(s):  
Madhan Balasubramanian ◽  
Aliya Hasan ◽  
Suruchi Ganbavale ◽  
Anfal Alolayah ◽  
Jennifer Gallagher
Keyword(s):  
Oral Health ◽  
Health Workforce ◽  
Workforce Planning ◽  
Data Sources ◽  
Rapid Review ◽  
Quality Data ◽  
Health Workforce Planning ◽  
Skill Mix ◽  
Planning Models ◽  
The Future

Over the last decade, there has been a renewed interest in oral health workforce planning. The purpose of this review is to examine oral health workforce planning models on supply, demand and needs, mainly in respect to their data sources, modelling technique and use of skill mix. A limited search was carried out on PubMed and Web of Science for published scientific articles on oral health workforce planning models between 2010 to 2020. No restrictions were placed on the type of modelling philosophy, and all studies including supply, demand or needs based models were included. Rapid review methods guided the review process. Twenty-three studies from 15 countries were included in the review. A majority were from high-income countries (n = 17). Dentists were the sole oral health workforce group modelled in 13 studies; only five studies included skill mix (allied dental personnel) considerations. The most common application of modelling was a workforce to population ratio or a needs-based demand weighted variant. Nearly all studies presented weaknesses in modelling process due to the limitations in data sources and/or non-availability of the necessary data to inform oral health workforce planning. Skill mix considerations in planning models were also limited to horizontal integration within oral health professionals. Planning for the future oral health workforce is heavily reliant on quality data being available for supply, demand and needs models. Integrated methodologies that expand skill mix considerations and account for uncertainty are essential for future planning exercises.

scholarly journals Planning the Future Oral Health Workforce: A Rapid Review of Supply, Demand and Need Models, Data Sources and Skill MIX Considerations

2021 ◽  
Author(s):  
Madhan Balasubramanian ◽  
Aliya Hasan ◽  
Suruchi Ganbavale ◽  
Anfal Alolayah ◽  
Jennifer Gallagher
Keyword(s):  
Oral Health ◽  
Health Workforce ◽  
Workforce Planning ◽  
Data Sources ◽  
Rapid Review ◽  
Quality Data ◽  
Health Workforce Planning ◽  
Skill Mix ◽  
Planning Models ◽  
The Future

Over the last decade, there has been a renewed interest in oral health workforce planning. The purpose of this review is to examine oral health workforce planning models on supply, demand and needs, mainly in respect to their data sources, modelling technique and use of skill mix. A search was carried out on PubMed, Web of Science, and Google Scholar databases for published scientific articles on oral health workforce planning models between 2010 to 2020. No restrictions were placed on the type of modelling philosophy, and all studies including supply, demand or needs based models were included. Rapid review methods guided the review process. Twenty-three studies from 15 different countries were included in the review. A majority were from high income countries (n=17). Dentists were the sole oral health workforce group modelled in 13 studies; only five studied included skill mix (allied dental personnel) considerations. The most common application of modelling was a workforce to population ratio or a needs-based demand weighted variant. Nearly all studies presented weaknesses in modelling process due to the limitations in data sources and/or non availability of necessary data to inform oral health workforce planning. Skill mix considerations in planning models were also limited to horizontal integration within oral health professionals. Planning for the future oral health workforce is heavily reliant on quality data being available for supply, demand and needs models. Integrated methodologies that expand skill mix considerations and account for uncertainty are essential for future planning exercises.

scholarly journals Oral health workforce planning Part 1 : data available in a sample of FDI member countries

2013 ◽  
Vol 63 (6) ◽  
pp. 298-305 ◽  
Author(s):  
Nermin Yamalik ◽  
Eduardo Ensaldo-Carrasco ◽  
Denis Bourgeois
Keyword(s):  
Oral Health ◽  
Health Workforce ◽  
Workforce Planning ◽  
Health Workforce Planning

scholarly journals Oral health workforce planning part 2: figures, determinants and trends in a sample of World Dental Federation member countries

2014 ◽  
Vol 64 (3) ◽  
pp. 117-126 ◽  
Author(s):  
Nermin Yamalik ◽  
Eduardo Ensaldo-Carrasco ◽  
Edoardo Cavalle ◽  
Kathyrn Kell
Keyword(s):  
Oral Health ◽  
Health Workforce ◽  
Workforce Planning ◽  
Health Workforce Planning

scholarly journals Workforce Planning Models for Oral Health Care: A Scoping Review

2020 ◽  
pp. 238008442097958
Author(s):  
L. O’Malley ◽  
R. Macey ◽  
T. Allen ◽  
P. Brocklehurst ◽  
F. Thomson ◽  
...  
Keyword(s):  
Health Care ◽  
Oral Health ◽  
Scoping Review ◽  
Health Workforce ◽  
Workforce Planning ◽  
Oral Health Care ◽  
Health Needs ◽  
Evidence Based ◽  
Policy Makers ◽  
Planning Models

Background: For health care services to address the health care needs of populations and respond to changes in needs over time, workforces must be planned. This requires quantitative models to estimate future workforce requirements that take account of population size, oral health needs, evidence-based approaches to addressing needs, and methods of service provision that maximize productivity. The aim of this scoping review was to assess whether and how these 4 elements contribute to existing models of oral health workforce planning. Methods: A scoping review was conducted. MEDLINE, Embase, HMIC, and EconLit were searched, all via OVID. Additionally, gray literature databases were searched and key bodies and policy makers contacted. Workforce planning models were included if they projected workforce numbers and were specific to oral health. No limits were placed on country. A single reviewer completed initial screening of abstracts; 2 independent reviewers completed secondary screening and data extraction. A narrative synthesis was conducted. Results: A total of 4,009 records were screened, resulting in 42 included articles detailing 47 models. The workforce planning models varied significantly in their use of data on oral health needs, evidence-based services, and provider productivity, with most models relying on observed levels of service utilization and demand. Conclusions: This review has identified quantitative workforce planning models that aim to estimate future workforce requirements. Approaches to planning the oral health workforce are not always based on deriving workforce requirements from population oral health needs. In many cases, requirements are not linked to population needs, while in models where needs are included, they are constrained by the existence and availability of the required data. It is critical that information systems be developed to effectively capture data necessary to plan future oral health care workforces in ways that relate directly to the needs of the populations being served. Knowledge Transfer Statement: Policy makers can use the results of this study when making decisions about the planning of oral health care workforces and about the data to routinely collect within health services. Collection of suitable data will allow for the continual improvement of workforce planning, leading to a responsive health service and likely future cost savings.

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