Evidence map›Paper›PMID 33081730›Full record

Observational studyBMC public health2020

Identifying interventions with Gypsies, Roma and Travellers to promote immunisation uptake: methodological approach and findings.

Lisa Dyson, Helen Bedford, Louise Condon, Carol Emslie, Lana Ireland, Julie Mytton, Karen Overend, Sarah Redsell, Zoe Richardson, Cath Jackson

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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 at 6 institutions in 1 country.

Lisa DysonDepartment of Health Sciences, University of York, Heslington, York, YO10 5DD, UK.
Helen BedfordUCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK.
Louise CondonCollege of Human and Health Sciences, Swansea University, Singleton Park, Swansea, SA2 8PP, UK.
Carol EmslieSchool of Health & Life Sciences, Glasgow Caledonian University, Cowcaddens Road, Glasgow, G4 0BA, UK.
Lana IrelandSchool of Health & Life Sciences, Glasgow Caledonian University, Cowcaddens Road, Glasgow, G4 0BA, UK.
Julie MyttonUniversity of the West of England, Centre for Child and Adolescent Health, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
Karen OverendDepartment of Health Sciences, University of York, Heslington, York, YO10 5DD, UK.
Sarah RedsellFaculty of Health, Social Care and Education, Anglia Ruskin University East Road Campus, Cambridge, CB1 1PT, UK.
Zoe RichardsonDepartment of Health Sciences, University of York, Heslington, York, YO10 5DD, UK.
Cath JacksonDepartment of Health Sciences, University of York, Heslington, York, YO10 5DD, UK. cath@validresearch.co.uk.
University of York · GBGlasgow Caledonian University · GBAnglia Ruskin University · GBSwansea University · GBUniversity College London · GBUniversity of the West of England · GB

Funding

Department of Health 12/17/05National Institute for Health Research 12/17/05
6 · The paper itself

Abstract

backgroundIn the UK, Gypsy, Roma and Traveller (GRT) communities are generally considered to be at risk of low or variable immunisation uptake. Many strategies to increase uptake for the general population are relevant for GRT communities, however additional approaches may also be required, and importantly one cannot assume that "one size fits all". Robust methods are needed to identify content and methods of delivery that are likely to be acceptable, feasible, effective and cost effective. In this paper, we describe the approach taken to identify potential interventions to increase uptake of immunisations in six GRT communities in four UK cities; and present the list of prioritised interventions that emerged.

methodsThis work was conducted in three stages: (1) a modified intervention mapping process to identify ideas for potential interventions; (2) a two-step prioritisation activity at workshops with 51 GRTs and 25 Service Providers to agree a prioritised list of potentially feasible and acceptable interventions for each community; (3) cross-community synthesis to produce a final list of interventions. The theoretical framework underpinning the study was the Social Ecological Model.

resultsFive priority interventions were agreed across communities and Service Providers to improve the uptake of immunisation amongst GRTs who are housed or settled on an authorised site. These interventions are all at the Institutional (e.g. cultural competence training) and Policy (e.g. protected funding) levels of the Social Ecological Model.

conclusionsThe "upstream" nature of the five interventions reinforces the key role of GP practices, frontline workers and wider NHS systems on improving immunisation uptake. All five interventions have potentially broader applicability than GRTs. We believe that their impact would be enhanced if delivered as a combined package. The robust intervention development and co-production methods described could usefully be applied to other communities where poor uptake of immunisation is a concern. STUDY REGISTRATION: Current Controlled Trials ISRCTN20019630, Date of registration 01-08-2013, Prospectively registered.

Indexed as

ImmunizationPopulation GroupsRomani PeopleCulturally Competent CareHealth PromotionHumansPatient Acceptance of Health CareUnited KingdomCo-production, GypsyImmunisation, intervention developmentRomaTraveller

Identifiers

PMID33081730
PMCPMC7574499
OpenAlexW3094535631

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.