Evidence map›Paper›PMID 33172907›Full record

ArticleBMJ quality & safety2021

Incidence, nature and causes of avoidable significant harm in primary care in England: retrospective case note review.

Anthony J Avery, Christina Sheehan, Brian Bell, Sarah Armstrong, Darren M Ashcroft, Matthew J Boyd, Antony Chuter, Alison Cooper, Ailsa Donnelly, Adrian Edwards and 10 more

Abstract read
In one paragraph

Article in BMJ quality & safety, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

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

  1. Pooled it
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  4. Trial
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  6. General practice follow-up after hospital discharge in older adults: retrospective record analysis in UK primary care.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
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  7. Observational
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  11. The evolution of patient-reported safety concerns during the COVID-19 pandemic within a series of study questionnaires: a multi-method analysis.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Anthony J AveryDivision of Primary Care, School of Medicine, Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK tony.avery@nottingham.ac.uk.ORCID 0000-0001-7591-4438
Christina SheehanDivision of Primary Care, School of Medicine, Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK.
Brian BellDivision of Primary Care, School of Medicine, Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK.
Sarah ArmstrongNIHR RDS for the East Midlands, Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK.
Darren M AshcroftNIHR Greater Manchester Patient Safety Translational Research Centre, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, Greater Manchester, UK.
Matthew J BoydDivision of Pharmacy Practice and Policy, School of Pharmacy, Faculty of Sciences, University of Nottingham, Nottingham, UK.ORCID 0000-0003-2997-5090
Antony ChuterDivision of Primary Care, School of Medicine, Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK.
Alison CooperDivision of Population Medicine, School of Medicine, Cardiff University, Cardiff, UK.
Ailsa DonnellyDivision of Primary Care, School of Medicine, Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK.
Adrian EdwardsDivision of Population Medicine, School of Medicine, Cardiff University, Cardiff, UK.
Huw Prosser EvansDivision of Population Medicine, School of Medicine, Cardiff University, Cardiff, UK.
Stuart HellardDivision of Population Medicine, School of Medicine, Cardiff University, Cardiff, UK.
Joanne LymnSchool of Health Sciences, Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK.
Rajnikant MehtaBirmingham Clinical Trials Unit, College of Medical and Dental Sciences, University of Birmingham, Birmingham, West Midlands, UK.
Sarah RodgersPRIMIS, School of Medicine, Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK.
Aziz SheikhUsher Institute of Population Health Sciences and Informatics, College of Medicine and Veterinary Medicine, The University of Edinburgh, Edinburgh, UK.ORCID 0000-0001-7022-3056
Pam SmithSchool of Health and Social Sciences, Edinburgh University, Edinburgh, UK.
Huw WilliamsDivision of Population Medicine, School of Medicine, Cardiff University, Cardiff, UK.
Stephen M CampbellNIHR Greater Manchester Patient Safety Translational Research Centre, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, Greater Manchester, UK.
Andrew Carson-StevensDivision of Population Medicine, School of Medicine, Cardiff University, Cardiff, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo estimate the incidence of avoidable significant harm in primary care in England; describe and classify the associated patient safety incidents and generate suggestions to mitigate risks of ameliorable factors contributing to the incidents.

designRetrospective case note review. Patients with significant health problems were identified and clinical judgements were made on avoidability and severity of harm. Factors contributing to avoidable harm were identified and recorded.

settingPrimary care.

participantsThirteen general practitioners (GPs) undertook a retrospective case note review of a sample of 14 407 primary care patients registered with 12 randomly selected general practices from three regions in England (total list size: 92 255 patients).

main outcome measuresThe incidence of significant harm considered at least 'probably avoidable' and the nature of the safety incidents.

resultsThe rate of significant harm considered at least probably avoidable was 35.6 (95% CI 23.3 to 48.0) per 100 000 patient-years (57.9, 95% CI 42.2 to 73.7, per 100 000 based on a sensitivity analysis). Overall, 74 cases of avoidable harm were detected, involving 72 patients. Three types of incident accounted for more than 90% of the problems: problems with diagnosis accounted for 45/74 (60.8%) primary incidents, followed by medication-related problems (n=19, 25.7%) and delayed referrals (n=8, 10.8%). In 59 (79.7%) cases, the significant harm could have been identified sooner (n=48) or prevented (n=11) if the GP had taken actions aligned with evidence-based guidelines.

conclusionThere is likely to be a substantial burden of avoidable significant harm attributable to primary care in England with diagnostic error accounting for most harms. Based on the contributory factors we found, improvements could be made through more effective implementation of existing information technology, enhanced team coordination and communication, and greater personal and informational continuity of care.

Indexed as

Medical ErrorsPatient SafetyHumansIncidencePrimary Health CareRetrospective Studiesgeneral practicepatient safetyprimary care

Identifiers

PMID33172907
PMCPMC8606464

What OpenQuestion holds

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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.