Evidence map›Paper›PMID 15069216›Full record

ArticleQuality & safety in health care2004

Awareness and analysis of a significant event by general practitioners: a cross sectional survey.

P Bowie, J McKay, J Norrie, M Lough

Abstract read
In one paragraph

Article in Quality & safety in health care, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. 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

4 authors.

P BowieDepartment of Postgraduate Medical Education, University of Glasgow, Glasgow, UK. paul.bowie@nes.scot.nhs.uk
J McKay
J Norrie
M Lough

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine the extent to which general practitioners (GPs) were aware of a recent significant event and whether a structured analysis of this event was undertaken to minimise the perceived risk of recurrence.

designCross sectional survey using a postal questionnaire.

settingGreater Glasgow primary care trust.

participants466 principals in general practice from 188 surgeries.

main outcome measuresGPs' self-reported personal and practice characteristics, awareness of a recent significant event, participation in the structured analysis of the identified significant event, perceived chance of recurrence, forums for discussing and analysing significant events, and levels of primary care team involvement.

resultsFour hundred and sixty six GPs (76%) responded to the survey. GPs from single handed practices were less likely to respond than those in multi-partner training and non-training practices. 401 (86%) reported being aware of a recent significant event; lack of awareness was clearly associated with GPs from non-training practices. 219 (55%) had performed all the necessary stages of a structured analysis (as determined by the authors) of the significant event. GPs from training practices were more likely to report participation in the structured analysis of the recent event, to perceive the chance of this event recurring as "nil" or "very low", and to report significant event discussions taking place.

conclusionsMost GPs were aware of a recent significant event and participated in the structured analysis of this event. The wider primary care team participated in the analysis process where GPs considered this involvement relevant. There is variation in the depth of and approach to significant event analysis within general practice, which may have implications for the application of the technique as part of the NHS quality agenda.

Indexed as

AwarenessPhysicians, FamilyAdultCross-Sectional StudiesFemaleHealth Services ResearchHumansMaleMiddle AgedScotland

Identifiers

PMID15069216
PMCPMC1743805

What OpenQuestion holds

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Registered trials

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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.