Evidence map›Paper›PMID 33323035›Full record

ArticleJDR clinical and translational research2022

Workforce Planning Models for Oral Health Care: A Scoping Review.

L O'Malley, R Macey, T Allen, P Brocklehurst, F Thomson, J Rigby, R Lalloo, G Tomblin Murphy, S Birch, M Tickle

Abstract readScoping Review
In one paragraph

Article in JDR clinical and translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Necessity and influencing factors for integrating oral health in cancer care for older people: a narrative review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Review
  6. Review
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

L O'MalleyDivision of Dentistry, School of Medical Sciences, University of Manchester, Manchester Academic Health Sciences Centre, Manchester, UK.
R MaceyDivision of Dentistry, School of Medical Sciences, University of Manchester, Manchester Academic Health Sciences Centre, Manchester, UK.ORCID 0000-0002-6071-5775
T AllenCentre for Health Economics, University of Manchester, Manchester Academic Health Sciences Centre, Manchester, UK.
P BrocklehurstNWORTH Clinical Trials Unit, University of Bangor, Bangor, UK.
F ThomsonDivision of Dentistry, School of Medical Sciences, University of Manchester, Manchester Academic Health Sciences Centre, Manchester, UK.
J RigbyWHO/PAHO Collaborating Centre on Health Workforce Planning and Research, Dalhousie University, Halifax, Canada.
R LallooSchool of Dentistry, The University of Queensland, Brisbane, Australia.ORCID 0000-0001-5822-1269
G Tomblin MurphyWHO/PAHO Collaborating Centre on Health Workforce Planning and Research, Dalhousie University, Halifax, Canada.ORCID 0000-0002-7305-7003
S BirchCentre for the Business and Economics of Health, Faculty of Business Economics and Law, The University of Queensland, Brisbane, Australia.
M TickleDivision of Dentistry, School of Medical Sciences, University of Manchester, Manchester Academic Health Sciences Centre, Manchester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFor 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.

methodsA 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.

resultsA 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.

conclusionsThis 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.

Indexed as

Health WorkforceOral HealthDelivery of Health CareHealth PlanningWorkforcedental health servicesdental staffhealth planninghealth resourceshealth services needs and demandhealth workforce

Identifiers

PMID33323035
PMCPMC8674798

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.