Evidence map›Paper›PMID 36351722›Full record

ArticleBMJ open2022

Mixed-methods implementation study of a virtual culturally tailored diabetes self-management programme for African and Caribbean communities (HEAL-D) in south London and its scaling up across NHS regions in England: study protocol.

Sophie Lowry, Louise Goff, Sally Irwin, Oliver Brady, Natasha Curran, Zoe Lelliott, Nick Sevdalis, Andrew Walker

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Sophie LowryHealth Innovation Network, London, UK sophie.lowry2@nhs.net.ORCID 0000-0003-1707-9133
Louise GoffDepartment of Nutritional Sciences, Kings College London, London, UK.ORCID 0000-0001-9633-8759
Sally IrwinHealth Innovation Network, London, UK.ORCID 0000-0003-4125-2258
Oliver BradyHealth Innovation Network, London, UK.ORCID 0000-0002-9097-0486
Natasha CurranHealth Innovation Network, London, UK.ORCID 0000-0003-0165-7314
Zoe LelliottNIHR ARC South London, London, UK.ORCID 0000-0002-6596-3057
Nick SevdalisCentre for Implementation Science, King's College London, London, UK.ORCID 0000-0001-7560-8924
Andrew WalkerHealth Innovation Network, London, UK.ORCID 0000-0003-1128-8954
King's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe National Health Service Insight Prioritisation Programme was established to accelerate the implementation and evaluation of innovation that supports post-pandemic working. Supporting this, the Academic Health Science Network and National Institute for Health and Care Research Applied Research Collaboration in South London are testing and evaluating the implementation and scale-up of a type 2 diabetes (T2D) intervention.T2D is estimated to be three times more prevalent in UK African and Caribbean communities than in white Europeans. To tackle ethnic inequities in T2D healthcare access, an evidence-based, culturally tailored self-management and education programme for African and Caribbean adults (Healthy Eating & Active Lifestyles for Diabetes, HEAL-D) has been codeveloped with people with lived experience. Initially a face-to-face programme, HEAL-D pivoted to virtual delivery in response to COVID-19.The purpose of this study is to explore the (1) feasibility and acceptability of a virtual delivery model for HEAL-D in south London and (2) factors affecting its scale-up across other areas in England. METHODS AND ANALYSIS: The study will have two strands: (1) mixed-methods prospective evaluation of HEAL-D virtual delivery in south London using routinely collected service-level data, service delivery staff and service user interviews and observations; and (2) prospective qualitative study of the scale-up of this virtual delivery comprising interviews and focus groups with members of the public, and diabetes services commissioners and providers across England. Qualitative data will be analysed using thematic analysis. Quantitative analysis will use descriptive statistics and reporting summary tables and figures. The study will be grounded in well-established implementation frameworks and service user involvement. ETHICS AND DISSEMINATION: 'Minimal Risk Registration' ethical clearance was granted by King's College London's Research Ethics Office (ref: MRA-21/22-28498). Results will be published in a peer-reviewed journal and summaries provided to the study funders and participants.

Indexed as

COVID-19Diabetes Mellitus, Type 2Self-ManagementAdultCaribbean RegionEnglandHumansLondonState MedicineDIABETES & ENDOCRINOLOGYEDUCATION & TRAINING (see Medical Education & Training)QUALITATIVE RESEARCH

Identifiers

PMID36351722
PMCPMC9644082
OpenAlexW4308650819

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.