Evidence map›Paper›PMID 41290304›Full record

ArticleBMJ open2025

Use of electronic point-of-care resources by early-career general practitioners and associations with their use during consultations: A cross-sectional analysis of consultation data.

Ben Mitchell, Parker Magin, Mieke L van Driel, Amanda Tapley, Anna Ralston, Andrew Davey, Elizabeth Holliday, Jason Dizon, Dominica Moad, Alison Fielding and 3 more

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Ben MitchellGeneral Practice Clinical Unit, The University of Queensland Faculty of Medicine, Herston, Queensland, Australia b.mitchell@uq.edu.au.ORCID http://orcid.org/0000-0003-0035-4119
Parker MaginSchool of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.ORCID http://orcid.org/0000-0001-8071-8749
Mieke L van DrielGeneral Practice Clinical Unit, The University of Queensland Faculty of Medicine, Herston, Queensland, Australia.ORCID http://orcid.org/0000-0003-1711-9553
Amanda TapleySchool of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.
Anna RalstonSchool of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.
Andrew DaveySchool of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.ORCID http://orcid.org/0000-0002-7547-779X
Elizabeth HollidaySchool of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.ORCID http://orcid.org/0000-0002-4066-6224
Jason DizonClinical Research Design IT and Statistical Support Unit (CReDITSS), Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia.
Dominica MoadSchool of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.
Alison FieldingSchool of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.ORCID http://orcid.org/0000-0001-5884-3068
Katie FisherSchool of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.
Lisa ClarkeGP Training Medical Education Department, Royal Australian College of General Practitioners, Hobart, Tasmania, Australia.
Geoffrey SpurlingGeneral Practice Clinical Unit, The University of Queensland Faculty of Medicine, Herston, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine the use, frequency and factors linked to the use of any electronic point of care resources (ePOC resources) used by early-career general practitioners (GPs in training, otherwise known as GP residents or registrars) during consultations; and the frequency, and factors linked to the use of evidence-based clinical summaries.

designCross-sectional analysis of data collected as part of the Registrar Clinical Encounters in Training (ReCEnT) project from 2018 to 2022. Every 6 months, GP trainees record 60 consecutive consultations, including information about their use of resources.

settingAustralian training general practices.

participants3024 GP trainees in community-based vocational training. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was the use of ePOC resources, and the secondary outcome was the use of evidence-based ePOC summaries.

resultsA total of 3024 GP trainees accessed electronic resources during patient encounters for 67 651/628 855 (10.8%) of diagnoses/problems. Use of ePOC resources increased 4% per year over the study period. Therapeutic Guidelines was accessed most often (27 435/79 536, 34.7% of all ePOC use) followed by Australian Medicines Handbook (7507, 9.4%) and HealthPathways (6965, 8.7%). Various factors were associated with increased use of ePOC resources, including increasing patient age, diagnosis/problem type, increasing years of experience prior to GP training and stage of training. GP trainees rarely accessed dedicated evidence-based clinical summaries.

conclusionsAustralian GP trainees use a range of resources to answer their clinical questions, mostly from

Indexed as

General PractitionersPoint-of-Care SystemsPractice Patterns, Physicians'Referral and ConsultationAdultAustraliaCross-Sectional StudiesFemaleGeneral PracticeHumansMaleClinical Decision-MakingPrimary CareProtocols & guidelines

Identifiers

PMID41290304
PMCPMC12645658

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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.