Evidence map›Paper›PMID 35928186›Full record

ArticleFuture healthcare journal2022

Networks for future healthcare.

David Hargroves, Deborah Lowe, Marion Wood, Simon Ray

Abstract read
In one paragraph

Article in Future healthcare journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

4 authors.

David HargrovesEast Kent Hospitals University NHS Foundation Trust, Ashford, UK.
Deborah LoweWirral University Teaching Hospital Foundation Trust, Upton, UK.
Marion WoodUK.
Simon RayManchester University NHS Foundation Trust, Manchester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Getting It Right First Time (GIRFT) process is designed to improve the care of patients in the NHS in England through in-depth review of services, benchmarking and presenting a data-driven evidence base to support change. It started as a pilot project targeting unwarranted variation in elective orthopaedic surgery. It rapidly became apparent that the approach of clinically-led deep dives to review the activity in individual orthopaedic units was effective in improving standards of care but also resulted in substantial cost savings that could be reinvested in the clinical service. GIRFT has now expanded to encompass 40 clinical specialties and is funded by NHS England. We describe the ethos of networks and give examples of GIRFT specialty programmes that have made networks a key component of their recommendations.

Indexed as

clinical leadershipGIRFTintegrated stroke delivery networksnetworks

Identifiers

PMID35928186
PMCPMC9345233

What OpenQuestion holds

Textmetadata
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.