Evidence map›Paper›PMID 37581184›Full record

ArticleFrontline gastroenterology2023

Establishing key performance indicators for inflammatory bowel disease in the UK.

Mohammed Nabil Quraishi, Elizabeth Dobson, Rachel Ainley, Shahida Din, Ruth Wakeman, Fraser Cummings, Shaji Sebastian, Stuart Bloom, Jimmy K Limdi, Anjan Dhar and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Frontline gastroenterology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

17 authors at 12 institutions in 1 country.

Mohammed Nabil QuraishiDepartment of Gastroenterology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.ORCID 0000-0003-2338-8397
Elizabeth DobsonUK IBD Registry, London, UK.
Rachel AinleyCrohn's & Colitis UK, London, UK.
Shahida DinEdinburgh IBD Unit, Western General Hospital, Edinburgh, UK.ORCID 0000-0003-2855-3400
Ruth WakemanCrohn's & Colitis UK, London, UK.
Fraser CummingsDepartment of Gastroenterology, University Hospital Southampton NHS Foundation Trust, Southampton, UK.ORCID 0000-0002-9659-3247
Shaji SebastianHull University Teaching Hospitals NHS Trust, Hull, UK.
Stuart BloomUniversity College London Hospitals NHS Foundation Trust, London, UK.
Jimmy K LimdiDepartment of Gastroenterology, Northern Care Alliance NHS Foundation Trust, Manchester, UK.
Anjan DharDepartment of Gastroenterology, County Durham & Darlington NHS Foundation Trust, Bishop Auckland, UK.ORCID 0000-0001-8964-2031
R Alexander SpeightNewcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne Newcastle Upon Tyne, UK.
Keith BodgerDepartment of Health Data Science, Institute of Population Health, University of Liverpool, Liverpool, UK.
Nicholas A KennedyRoyal Devon and Exeter NHS Foundation Trust, Exeter, UK.
BSG IBD Section members
Christopher A LambNewcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne Newcastle Upon Tyne, UK.ORCID 0000-0002-7271-4956
Ian D ArnottEdinburgh IBD Unit, Western General Hospital, Edinburgh, UK.
Christian P SelingerGastroenterology, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Crohn's and Colitis UK · GBLeeds Teaching Hospitals NHS Trust · GBNewcastle upon Tyne Hospitals NHS Foundation Trust · GBWestern General Hospital · GBCounty Durham and Darlington NHS Foundation Trust · GBNorthern Health and Social Care Trust · GBRoyal Devon & Exeter NHS Foundation Trust · GBUniversity College London Hospitals NHS Foundation Trust · GBUniversity Hospitals Birmingham NHS Foundation Trust · GBUniversity Hospital Southampton NHS Foundation Trust · GBUniversity of Hull · GBUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Healthcare quality improvement (QI) is the systematic process to continuously improve the quality of care and outcomes for patients. The landmark Inflammatory Bowel Disease (IBD) UK National Audits provided a means to measure the variation in care, highlighting the need to define the standards of excellence in IBD care. Through a consensus approach, we aimed to establish key performance indicators (KPIs), providing reliable benchmarks for IBD care delivery in UK. Methods: KPIs that measure critical aspects of a patient journey within an IBD service were identified though stakeholder meetings. A two-stage Delphi consensus was then conducted. The first involved a multidisciplinary team of IBD clinicians and patients to refine definitions and methodology. The second stage assessed feasibility and utility of the proposed QI process by surveying gastroenterology services across UK. Results: First, the four proposed KPIs were refined and included time from primary care referral to diagnosis in secondary care, time to treatment recommendation following a diagnosis, appropriate use of steroids and advanced therapies prescreening and assessment. Second, the Delphi consensus reported >85% agreement on the feasibility of local adoption of the QI process and >75% agreement on the utility of benchmarking of the KPIs. Conclusions: Through a structured approach, we propose quantifiable KPIs for benchmarking to improve and reduce the individual variation in IBD care across the UK.

Indexed as

Inflammatory bowel disease

Identifiers

PMID37581184
PMCPMC10423598
OpenAlexW4378211717

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.