Evidence map›Paper›PMID 32917202›Full record

ArticleBMC health services research2020

Exploring variation in the use of feedback from national clinical audits: a realist investigation.

Natasha Alvarado, Lynn McVey, Joanne Greenhalgh, Dawn Dowding, Mamas Mamas, Chris Gale, Patrick Doherty, Rebecca Randell

Abstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. A Systematic Review of Electronic Medical Record Driven Quality Measurement and Feedback Systems.International journal of environmental research and public health · 2022
    Pooled it
  3. Article
  4. Article
  5. Effects of a team Quality Improvement method in a national clinical audit programme of four clinical specialties in Ministry of Health hospitals in Saudi Arabia.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2024
    Article
  6. Article
  7. Review
  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

8 authors.

Natasha AlvaradoSchool of Healthcare and the Wolfson Centre for Applied Health Research, University of Leeds, Leeds, England. n.alvarado@leeds.ac.uk.ORCID http://orcid.org/0000-0001-9422-4483
Lynn McVeySchool of Healthcare and the Wolfson Centre for Applied Health Research, University of Leeds, Leeds, England.
Joanne GreenhalghSchool of Sociology and Social Policy, University of Leeds, Leeds, England.
Dawn DowdingSchool of Health Sciences, University of Manchester, Manchester, England.
Mamas MamasPrimary Care and Health Sciences, Keele University, Keele, England.
Chris GaleUniversity of Leeds, Leeds, England.
Patrick DohertyDepartment of Health Sciences, York University, York, England.
Rebecca RandellFaculty of Health Studies and the Wolfson Centre for Applied Health Research University of Bradford, Bradford, England.

Funding

Health Services and Delivery Research Programme project number 16/04/06
6 · The paper itself

Abstract

backgroundNational Clinical Audits (NCAs) are a well-established quality improvement strategy used in healthcare settings. Significant resources, including clinicians' time, are invested in participating in NCAs, yet there is variation in the extent to which the resulting feedback stimulates quality improvement. The aim of this study was to explore the reasons behind this variation.

methodsWe used realist evaluation to interrogate how context shapes the mechanisms through which NCAs work (or not) to stimulate quality improvement. Fifty-four interviews were conducted with doctors, nurses, audit clerks and other staff working with NCAs across five healthcare providers in England. In line with realist principles we scrutinised the data to identify how and why providers responded to NCA feedback (mechanisms), the circumstances that supported or constrained provider responses (context), and what happened as a result of the interactions between mechanisms and context (outcomes). We summarised our findings as Context+Mechanism = Outcome configurations.

resultsWe identified five mechanisms that explained provider interactions with NCA feedback: reputation, professionalism, competition, incentives, and professional development. Professionalism and incentives underpinned most frequent interaction with feedback, providing opportunities to stimulate quality improvement. Feedback was used routinely in these ways where it was generated from data stored in local databases before upload to NCA suppliers. Local databases enabled staff to access data easily, customise feedback and, importantly, the data were trusted as accurate, due to the skills and experience of staff supporting audit participation. Feedback produced by NCA suppliers, which included national comparator data, was used in a more limited capacity across providers. Challenges accessing supplier data in a timely way and concerns about the quality of data submitted across providers were reported to constrain use of this mode of feedback.

conclusionThe findings suggest that there are a number of mechanisms that underpin healthcare providers' interactions with NCA feedback. However, there is variation in the mode, frequency and impact of these interactions. Feedback was used most routinely, providing opportunities to stimulate quality improvement, within clinical services resourced to collect accurate data and to maintain local databases from which feedback could be customised for the needs of the service.

Indexed as

FeedbackClinical AuditData AccuracyDelivery of Health CareEnglandHealth PersonnelHumansMotivationQuality ImprovementAudit and feedbackProgramme theoryQuality improvementRealist evaluation

Identifiers

PMID32917202
PMCPMC7488667

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.