Evidence map›Paper›PMID 36031654›Full record

ArticlePerioperative medicine (London, England)2022

A scoping review of local quality improvement using data from UK perioperative National Clinical Audits.

Duncan Wagstaff, Samantha Warnakulasuriya, Georgina Singleton, Suneetha Ramani Moonesinghe, Naomi Fulop, Cecilia Vindrola-Padros

Abstract readScoping Review
In one paragraph

Article in Perioperative medicine (London, England), 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

6 authors.

Duncan WagstaffDepartment of Anaesthesia, University College London Hospital, London, UK. d.wagstaff@ucl.ac.uk.ORCID http://orcid.org/0000-0001-9472-1578
Samantha WarnakulasuriyaDepartment of Anaesthesia, University College London Hospital, London, UK.
Georgina SingletonPQIP, National Institute of Academic Anaesthesia Health Services Research Centre, Royal College of Anaesthetists, London, UK.
Suneetha Ramani MoonesingheDepartment of Anaesthesia, University College London Hospital, London, UK.
Naomi FulopDepartment of Applied Health Research, University College London, London, UK.
Cecilia Vindrola-PadrosDivision of Surgery and Targeted Intervention, University College London, London, UK.

Funding

Health Foundation Improvement Science FellowshipNational Institute for Health Research Academic Clinical Fellowship
6 · The paper itself

Abstract

backgroundSignificant resources are invested in the UK to collect data for National Clinical Audits (NCAs), but it is unclear whether and how they facilitate local quality improvement (QI). The perioperative setting is a unique context for QI due to its multidisciplinary nature and history of measurement. It is unclear which NCAs evaluate perioperative care, to what extent their data have been used for QI, and which factors influence this usage.

methodsNCAs were identified from the directories held by Healthcare Quality Improvement Partnership (HQIP), Scottish Healthcare Audits and the Welsh National Clinical Audit and Outcome Review Advisory Committee. QI reports were identified by the following: systematically searching MEDLINE, CINAHL Plus, Web of Science, Embase, Google Scholar and HMIC up to December 2019, hand-searching grey literature and consulting relevant stakeholders. We charted features describing both the NCAs and the QI reports and summarised quantitative data using descriptive statistics and qualitative themes using framework analysis.

resultsWe identified 36 perioperative NCAs in the UK and 209 reports of local QI which used data from 19 (73%) of these NCAs. Six (17%) NCAs contributed 185 (89%) of these reports. Only one NCA had a registry of local QI projects. The QI reports were mostly brief, unstructured, often published by NCAs themselves and likely subject to significant reporting bias. Factors reported to influence local QI included the following: perceived data validity, measurement of clinical processes as well as outcomes, timely feedback, financial incentives, sharing of best practice, local improvement capabilities and time constraints of clinicians.

conclusionsThere is limited public reporting of UK perioperative NCA data for local QI, despite evidence of improvement of most NCA metrics at the national level. It is therefore unclear how these improvements are being made, and it is likely that opportunities are being missed to share learning between local sites. We make recommendations for how NCAs could better support the conduct, evaluation and reporting of local QI and suggest topics which future research should investigate.

trial registrationThe review was registered with the International Prospective Register of Systematic Reviews (PROSPERO: CRD42018092993 ).

Indexed as

AnaesthesiaClinical auditPerioperative medicineQuality improvementSurgery

Identifiers

PMID36031654
PMCPMC9422140

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