Evidence map›Paper›PMID 26628526›Full record

ArticleBMJ open2015

A cross-sectional mixed methods study protocol to generate learning from patient safety incidents reported from general practice.

Andrew Carson-Stevens, Peter Hibbert, Anthony Avery, Amy Butlin, Ben Carter, Alison Cooper, Huw Prosser Evans, Russell Gibson, Donna Luff, Meredith Makeham and 11 more

Abstract read
In one paragraph

Article in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Critical illness in prisons: a multi-methods analysis of reported healthcare safety incidents in England.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
    Article
  3. Article
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  8. Unsafe care in residential settings for older adults: a content analysis of accreditation reports.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Effectiveness of New Tools to Define an Up-to-Date Patient Safety Risk Map: A Primary Care Study Protocol.International journal of environmental research and public health · 2021
    Article
  16. Article
  17. Article
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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

21 authors.

Andrew Carson-StevensPrimary Care Patient Safety (PISA) Research Group, Primary and Emergency Care Research (PRIME) Centre Wales, School of Medicine, Cardiff University, Wales, UK Department of Family Practice, Faculty of Medicine, University of British Columbia, Vancouver, Canada Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia Centre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Scotland, UK.
Peter HibbertAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia Australian Patient Safety Foundation, Adelaide, Australia.
Anthony AveryDivision of General Practice, College of Community Health Sciences, University of Nottingham, Nottingham, UK.
Amy ButlinPrimary Care Patient Safety (PISA) Research Group, Primary and Emergency Care Research (PRIME) Centre Wales, School of Medicine, Cardiff University, Wales, UK.
Ben CarterPrimary Care Patient Safety (PISA) Research Group, Primary and Emergency Care Research (PRIME) Centre Wales, School of Medicine, Cardiff University, Wales, UK.
Alison CooperPrimary Care Patient Safety (PISA) Research Group, Primary and Emergency Care Research (PRIME) Centre Wales, School of Medicine, Cardiff University, Wales, UK.
Huw Prosser EvansPrimary Care Patient Safety (PISA) Research Group, Primary and Emergency Care Research (PRIME) Centre Wales, School of Medicine, Cardiff University, Wales, UK.
Russell GibsonPrimary Care Patient Safety (PISA) Research Group, Primary and Emergency Care Research (PRIME) Centre Wales, School of Medicine, Cardiff University, Wales, UK.
Donna LuffDepartment of Anesthesia, Boston Children's Hospital, Boston, Massachusetts, USA Harvard Medical School, Boston, Massachusetts, USA.
Meredith MakehamAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.
Paul McEnhillPrimary Care Patient Safety (PISA) Research Group, Primary and Emergency Care Research (PRIME) Centre Wales, School of Medicine, Cardiff University, Wales, UK.
Sukhmeet S PanesarCentre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Scotland, UK.
Gareth ParryHarvard Medical School, Boston, Massachusetts, USA Institute for Healthcare Improvement, Cambridge, Massachusetts, USA.
Philippa ReesPrimary Care Patient Safety (PISA) Research Group, Primary and Emergency Care Research (PRIME) Centre Wales, School of Medicine, Cardiff University, Wales, UK.
Emma ShielsPrimary Care Patient Safety (PISA) Research Group, Primary and Emergency Care Research (PRIME) Centre Wales, School of Medicine, Cardiff University, Wales, UK.
Aziz SheikhCentre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Scotland, UK Harvard Medical School, Boston, Massachusetts, USA Division of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Hope Olivia WardPrimary Care Patient Safety (PISA) Research Group, Primary and Emergency Care Research (PRIME) Centre Wales, School of Medicine, Cardiff University, Wales, UK.
Huw WilliamsPrimary Care Patient Safety (PISA) Research Group, Primary and Emergency Care Research (PRIME) Centre Wales, School of Medicine, Cardiff University, Wales, UK.
Fiona WoodPrimary Care Patient Safety (PISA) Research Group, Primary and Emergency Care Research (PRIME) Centre Wales, School of Medicine, Cardiff University, Wales, UK.
Liam DonaldsonDepartment of Surgery and Cancer, Imperial College London, London, UK.
Adrian EdwardsPrimary Care Patient Safety (PISA) Research Group, Primary and Emergency Care Research (PRIME) Centre Wales, School of Medicine, Cardiff University, Wales, UK.

Funding

Department of Health 12/64/118
6 · The paper itself

Abstract

introductionIncident reports contain descriptions of errors and harms that occurred during clinical care delivery. Few observational studies have characterised incidents from general practice, and none of these have been from the England and Wales National Reporting and Learning System. This study aims to describe incidents reported from a general practice care setting. METHODS AND ANALYSIS: A general practice patient safety incident classification will be developed to characterise patient safety incidents. A weighted-random sample of 12,500 incidents describing no harm, low harm and moderate harm of patients, and all incidents describing severe harm and death of patients will be classified. Insights from exploratory descriptive statistics and thematic analysis will be combined to identify priority areas for future interventions. ETHICS AND DISSEMINATION: The need for ethical approval was waivered by the Aneurin Bevan University Health Board research risk review committee given the anonymised nature of data (ABHB R&D Ref number: SA/410/13). The authors will submit the results of the study to relevant journals and undertake national and international oral presentations to researchers, clinicians and policymakers.

Indexed as

Research DesignCross-Sectional StudiesDelivery of Health CareEnglandGeneral PracticeHumansMedical ErrorsPatient SafetyPrimary Health CareWales

Identifiers

PMID26628526
PMCPMC4680001

What OpenQuestion holds

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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.