Evidence map›Paper›PMID 26507739›Full record

ArticleBMC family practice2015

Developing 'high impact' guideline-based quality indicators for UK primary care: a multi-stage consensus process.

Bruno Rushforth, Tim Stokes, Elizabeth Andrews, Thomas A Willis, Rosemary McEachan, Simon Faulkner, Robbie Foy

Abstract read
In one paragraph

Article in BMC family practice, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

Bruno RushforthFoundry Lane Surgery, 3 Street Lane, Leeds, LS8 1BW, UK. bruno.rushforth@nhs.net.
Tim StokesDepartment of General Practice and Rural Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand. tim.stokes@otago.ac.nz.
Elizabeth AndrewsBradford Institute for Health Research, Bradford, UK. Elizabeth.Andrews@bthft.nhs.uk.
Thomas A WillisLeeds Institute of Health Sciences, University of Leeds, Leeds, UK. t.a.willis@leeds.ac.uk.
Rosemary McEachanBradford Institute for Health Research, Bradford, UK. Rosie.McEachan@bthft.nhs.uk.
Simon FaulknerHealth and Social Care Information Centre, Leeds, UK. Simon.faulkner1@nhs.net.
Robbie FoyLeeds Institute of Health Sciences, University of Leeds, Leeds, UK. r.foy@leeds.ac.uk.

Funding

Department of Health RP-PG-1209-10040
6 · The paper itself

Abstract

backgroundQuality indicators (QIs) are an important tool for improving clinical practice and are increasingly being developed from evidence-based guideline recommendations. We aimed to identify, select and apply guideline recommendations to develop a set of QIs to measure the implementation of evidence-based practice using routinely recorded clinical data in United Kingdom (UK) primary care.

methodsWe reviewed existing national clinical guidelines and QIs and used a four-stage consensus development process to derive a set of 'high impact' QIs relevant to primary care based upon explicit prioritisation criteria. We then field tested the QIs using remotely extracted, anonymised patient records from 89 randomly sampled primary care practices in the Yorkshire region of England.

resultsOut of 2365 recommendations and QIs originally reviewed, we derived a set of 18 QIs (5 single, 13 composites - comprising 2-9 individual recommendations) for field testing. QIs predominantly addressed chronic disease management, in particular diabetes, cardiovascular and renal disease, and included both processes and outcomes of care. Field testing proved to be critical for further refinement and final selection.

conclusionsWe have demonstrated a rigorous and transparent methodology to develop a set of high impact, evidence-based QIs for primary care from clinical guideline recommendations. While the development process was successful in developing a limited set of QIs, it remains challenging to derive robust new QIs from clinical guidelines in the absence of established systems for routine, structured recording of clinical care.

Indexed as

ConsensusHumansPractice Guidelines as TopicPrimary Health CareQuality Indicators, Health CareUnited States

Identifiers

PMID26507739
PMCPMC4624600

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.