Evidence map›Paper›PMID 29383697›Full record

ArticleInternational dental journal2018

A resource reallocation model for school dental screening: taking advantage of teledentistry in low-risk areas.

Mohamed Estai, Stuart M Bunt, Yogesan Kanagasingam, Estie Kruger, Marc Tennant

Open access · greenAbstract read
In one paragraph

Article in International dental journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
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

12 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
  5. Article
  6. A Teledentistry Pilot Study on Patient-Initiated Care.International journal of environmental research and public health · 2022
    Article
  7. Review
  8. Review
  9. Article
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  11. Article
  12. Perception, Acceptance, and Utilization of Teledentistry by the Public: A Literature Review.Journal of International Society of Preventive & Community Dentistry
    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

5 authors at 2 institutions in 1 country.

Mohamed EstaiInternational Research Collaborative-Oral Health and Equity: School of Human Science, University of Western Australia, Crawley, WA, Australia.
Stuart M BuntDepartment of Anatomy and Human Biology, School of Human Science, University of Western Australia, Crawley, WA, Australia.
Yogesan KanagasingamAustralian e-Health Research Centre, CSIRO, Floreat, WA, Australia.
Estie KrugerInternational Research Collaborative-Oral Health and Equity: School of Human Science, University of Western Australia, Crawley, WA, Australia.
Marc TennantInternational Research Collaborative-Oral Health and Equity: School of Human Science, University of Western Australia, Crawley, WA, Australia.
The University of Western Australia · AUCommonwealth Scientific and Industrial Research Organisation · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo estimate the scale of resource transfer that could be achieved by screening low-risk schoolchildren using teledentistry rather than using traditional visual dental examination.

methodsThis study was based on a previous cost-minimisation study that compared the costs of two dental-screening approaches (visual and teledentistry). The data for the population of children 5-14 years of age was obtained from the Australian Bureau of Statistics and was divided across Australia according to statistical local area (SA2). The cost models (for teledentistry and visual screening) for each SA2 relative to the state, Remoteness Area (RA) and Socio-Economic Index for Area (SEIFA) indexes were estimated. The geographical information system was used to superimpose modelled cost data on the geographical map to provide a visual presentation of the data. Resource transfer scenarios, based on risk minimisation, were then developed and analysed.

resultsThis study demonstrated a suboptimal allocation of dental-care resources, such that children living in high socio-economic areas (major cities) with low disease burdens consuming half of the estimated resources of a universal visual dental screening system. The findings suggest that utilising teledentistry screening for low-risk children has the potential to free up $40 million per annum. Such resources can be reallocated to increase care access and improve the quality of dental services for vulnerable children.

conclusionTo reduce inequalities in dental health within a community, scarce health-care resources should be targeted at the population at most risk. These findings can be used to inform policymakers, guide the appropriate distribution of scarce resources and target dental services to benefit high-need children.

Indexed as

Health Care CostsAdolescentAustraliaChildChild, PreschoolCost SavingsDental Care for ChildrenHumansMass ScreeningModels, EconomicResource AllocationSchool Health ServicesTelemedicineCost-savingdental screeningdisadvantagedschoolchildrentelemedicine

Identifiers

PMID29383697
PMCPMC9378852
OpenAlexW2793523427

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.