Evidence map›Paper›PMID 38826513›Full record

ArticleJournal of migration and health2024

A typology of internationally qualified dentists in the United Kingdom.

Latha S Davda, David R Radford, Sasha Scambler, Jennifer E Gallagher

Abstract read
In one paragraph

Article in Journal of migration and health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Latha S DavdaMinistry of Defence, Bulford SP4 9AD, UK.
David R RadfordUniversity of Portsmouth Dental Academy, Portsmouth, PO1 2QG, UK.
Sasha ScamblerKing's College London, Faculty of Dentistry, Oral & Craniofacial Sciences, Centre for Host Microbiome Interactions, Denmark Hill Campus, London SE5 9RS, UK.
Jennifer E GallagherKing's College London, Faculty of Dentistry, Oral & Craniofacial Sciences, Centre for Host Microbiome Interactions, Denmark Hill Campus, London SE5 9RS, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The Global Strategy for Human Resources for Health 2030, requires member states to half their dependency on an international workforce by 2030. In order to design policies towards that goal, country-specific research on migration motivations of the health workforce is required. The United Kingdom (UK) is a net importer of health professionals and whilst there is a body of research on doctors' and nurses' migration, there is no research on the migration motivations of migrant dentists in the UK. This research explored the migration motivations of internationally qualified dentists (IQDs) in the UK and presents a typology to understand the global migration of dentists in the context of oral health workforce. Methods: The paper presents qualitative data from semi-structured interviews conducted between August 2014 and October 2017, of IQDs working in the United Kingdom. The topic guide for interviews was informed by the literature, with new themes added inductively. A phenomenological approach involving an epistemological stance of interpretivism, was used with framework analysis. Results: A total of 38 internationally qualified dentists ( Conclusions: The typology of internationally qualified dentists has congruency with other health professionals' typology in categories previously described and demonstrates that each of these categories are complex, fluid and change in response to policy changes. The new category of

Indexed as

Internationally qualified dentistsMigrant dentistsMigration motivationsTypology

Identifiers

PMID38826513
PMCPMC11141152

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Registered trials

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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.