Evidence map›Paper›PMID 35383286›Full record

ArticleBritish dental journal2022

The in-practice prevention programme: an example of flexible commissioning from Yorkshire and the Humber.

Fiona Sandom, Simon Hearnshaw, Siobhan Grant, Lynne Williams, Paul Brocklehurst

Open access · hybridAbstract read
In one paragraph

Article in British dental journal, 2022. 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
1.9field-weighted citation impact, top 14% 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

0 citing papers in PubMed, 7 citations in OpenAlex.

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

5 authors at 3 institutions in 1 country.

Fiona SandomSchool of Health Sciences, Bangor University, UK.
Simon HearnshawNHS England, North Yorkshire and the Humber Area, UK.
Siobhan GrantPublic Health England, North Yorkshire and the Humber Area, UK.
Lynne WilliamsSchool of Health Sciences, Bangor University, UK.
Paul BrocklehurstSchool of Health Sciences, Bangor University, UK. p.brocklehurst@bangor.ac.uk.
Bangor University · GBNHS EnglandPublic Health England · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction An In-Practice Prevention (IPP) programme was developed by the Local Dental Network in the North Yorkshire and the Humber area in England in response to an oral health needs assessment. The underpinning logic model drew on a flexible commissioning approach and aimed to incentivise dental teams with NHS contracts to promote the delivery of prevention. This used care pathways that involved the whole dental team and was cost-neutral.Aim The programme was evaluated using realist methodology to identify 'what works, in which circumstances, how and for who?'.Design Realist evaluations are explanatory in nature and attempt to understand the factors that appear to influence the success (or not) of an intervention, rather than demonstrating causality.Methods and results Following a review of the pertinent literature, semi-structured interviews and focus groups, five theory areas were considered to be critical to the delivery of IPP. In order of stated priority, these were: 1) clinical leadership; 2) 'skill mix'; 3) financial incentives; 4) institutional logic/practice culture; and 5) behaviour change.Conclusion The results appear to show that clinically-led programmes could offer value to dental commissioners within a flexible commissioning model, although this would need to be further tested using an experiment design.

Identifiers

PMID35383286
PMCPMC8982659
OpenAlexW4225965245

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.