Evidence map›Paper›PMID 37653413›Full record

ArticleImplementation science : IS2023

A cluster randomised controlled trial, process and economic evaluation of quality improvement collaboratives aligned to a national audit to improve the care for people with diabetes (EQUIPD): study protocol.

Michael Sykes, Bethan Copsey, Tracy Finch, David Meads, Amanda Farrin, Jenny McSharry, Naomi Holman, Bob Young, Alex Berry, Kat Ellis and 6 more

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in Implementation science : IS, 2023. 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
0.4field-weighted citation impact, top 33% 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, 2 citations in OpenAlex.

  1. Article
  2. Article
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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

16 authors at 5 institutions in 2 countries.

Michael SykesNorthumbria University, Newcastle Upon Tyne, UK. Michael.sykes@Northumbria.ac.uk.ORCID http://orcid.org/0000-0002-2039-7397
Bethan CopseyUniversity of Leeds, Leeds, UK.
Tracy FinchNorthumbria University, Newcastle Upon Tyne, UK.
David MeadsUniversity of Leeds, Leeds, UK.
Amanda FarrinUniversity of Leeds, Leeds, UK.
Jenny McSharryUniversity of Galway, Galway, Ireland.
Naomi HolmanImperial College London, London, UK.
Bob YoungNational Diabetes Audit, Leeds, UK.
Alex BerryDiabetesUK, London, UK.
Kat EllisExpert By Experience, London, UK.
Lauren MoreauUniversity of Leeds, Leeds, UK.
Thomas WillisUniversity of Leeds, Leeds, UK.
Sarah AldersonUniversity of Leeds, Leeds, UK.
Melissa GirlingNorthumbria University, Newcastle Upon Tyne, UK.
Elaine O'HalloranNorthumbria University, Newcastle Upon Tyne, UK.
Robbie FoyUniversity of Leeds, Leeds, UK.
University of Leeds · GBNorthumbria University · GBDiabetes UK · GBImperial College London · GBOllscoil na Gaillimhe – University of Galway · IE

Funding

Department of Health 151848
6 · The paper itself

Abstract

backgroundPeople with type 1 diabetes and raised glucose levels are at greater risk of retinopathy, nephropathy, neuropathy, cardiovascular disease, sexual health problems and foot disease. The UK National Institute for Health and Care Excellence (NICE) recommends continuous subcutaneous 'insulin pump' therapy for people with type 1 diabetes whose HbA1c is above 69 mmol/mol. Insulin pump use can improve quality of life, cut cardiovascular risk and increase treatment satisfaction. About 90,000 people in England and Wales meet NICE criteria for insulin pumps but do not use one. Insulin pump use also varies markedly by deprivation, ethnicity, sex and location. Increasing insulin pump use is a key improvement priority. Audit and feedback is a common but variably effective intervention. Limited capabilities of healthcare providers to mount effective responses to feedback from national audits, such as the National Diabetes Audit (NDA), undermines efforts to improve care. We have co-developed a theoretically and empirically informed quality improvement collaborative (QIC) to strengthen local responses to feedback with patients and carers, national audits and healthcare providers. We will evaluate whether the QIC improves the uptake of insulin pumps following NDA feedback.

methodsWe will undertake an efficient cluster randomised trial using routine data. The QIC will be delivered alongside the NDA to specialist diabetes teams in England and Wales. Our primary outcome will be the proportion of people with type 1 diabetes and an HbA1c above 69 mmol/mol who start and continue insulin pump use during the 18-month intervention period. Secondary outcomes will assess change in glucose control and duration of pump use. Subgroup analyses will explore impacts upon inequalities by ethnicity, sex, age and deprivation. A theory-informed process evaluation will explore diabetes specialist teams' engagement, implementation, fidelity and tailoring through observations, interviews, surveys and documentary analysis. An economic evaluation will micro-cost the QIC, estimate cost-effectiveness of NDA feedback with QIC and estimate the budget impact of NHS-wide QIC roll out. DISCUSSION: Our study responds to a need for more head-to-head trials of different ways of reinforcing feedback delivery. Our findings will have implications for other large-scale audit and feedback programmes.

trial registrationISRCTN82176651 Registered 18 October 2022.

Indexed as

Diabetes Mellitus, Type 1InsulinsCost-Benefit AnalysisFemaleGlycated HemoglobinHumansMaleQuality ImprovementQuality of LifeRandomized Controlled Trials as TopicGlycated HemoglobinInsulinsAudit and feedbackDiabetesInsulin pumpQuality Improvement CollaborativeRandomised controlled trial

Identifiers

PMID37653413
PMCPMC10470130
OpenAlexW4386328585

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.