Evidence map›Paper›PMID 36670354›Full record

ArticleBMC primary care2023

Workload and workflow implications associated with the use of electronic clinical decision support tools used by health professionals in general practice: a scoping review.

Emily Fletcher, Alex Burns, Bianca Wiering, Deepthi Lavu, Elizabeth Shephard, Willie Hamilton, John L Campbell, Gary Abel

Abstract readScoping Review
In one paragraph

Article in BMC primary care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 6 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

25 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  3. Why aren't they used? Systematic review of barriers to implementation of clinical decision support systems for early cancer detection in primary care.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
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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

8 authors.

Emily FletcherCollege of Medicine and Health, University of Exeter Medical School, St Luke's Campus, Heavitree Road, Exeter, Devon, EX1 2LU, England. e.fletcher@exeter.ac.uk.
Alex BurnsCollege of Medicine and Health, University of Exeter Medical School, St Luke's Campus, Heavitree Road, Exeter, Devon, EX1 2LU, England.
Bianca WieringCollege of Medicine and Health, University of Exeter Medical School, St Luke's Campus, Heavitree Road, Exeter, Devon, EX1 2LU, England.
Deepthi LavuCollege of Medicine and Health, University of Exeter Medical School, St Luke's Campus, Heavitree Road, Exeter, Devon, EX1 2LU, England.
Elizabeth ShephardCollege of Medicine and Health, University of Exeter Medical School, St Luke's Campus, Heavitree Road, Exeter, Devon, EX1 2LU, England.
Willie HamiltonCollege of Medicine and Health, University of Exeter Medical School, St Luke's Campus, Heavitree Road, Exeter, Devon, EX1 2LU, England.
John L CampbellCollege of Medicine and Health, University of Exeter Medical School, St Luke's Campus, Heavitree Road, Exeter, Devon, EX1 2LU, England.
Gary AbelCollege of Medicine and Health, University of Exeter Medical School, St Luke's Campus, Heavitree Road, Exeter, Devon, EX1 2LU, England.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectronic clinical decision support tools (eCDS) are increasingly available to assist General Practitioners (GP) with the diagnosis and management of a range of health conditions. It is unclear whether the use of eCDS tools has an impact on GP workload. This scoping review aimed to identify the available evidence on the use of eCDS tools by health professionals in general practice in relation to their impact on workload and workflow.

methodsA scoping review was carried out using the Arksey and O'Malley methodological framework. The search strategy was developed iteratively, with three main aspects: general practice/primary care contexts, risk assessment/decision support tools, and workload-related factors. Three databases were searched in 2019, and updated in 2021, covering articles published since 2009: Medline (Ovid), HMIC (Ovid) and Web of Science (TR). Double screening was completed by two reviewers, and data extracted from included articles were analysed.

resultsThe search resulted in 5,594 references, leading to 95 full articles, referring to 87 studies, after screening. Of these, 36 studies were based in the USA, 21 in the UK and 11 in Australia. A further 18 originated from Canada or Europe, with the remaining studies conducted in New Zealand, South Africa and Malaysia. Studies examined the use of eCDS tools and reported some findings related to their impact on workload, including on consultation duration. Most studies were qualitative and exploratory in nature, reporting health professionals' subjective perceptions of consultation duration as opposed to objectively-measured time spent using tools or consultation durations. Other workload-related findings included impacts on cognitive workload, "workflow" and dialogue with patients, and clinicians' experience of "alert fatigue".

conclusionsThe published literature on the impact of eCDS tools in general practice showed that limited efforts have focused on investigating the impact of such tools on workload and workflow. To gain an understanding of this area, further research, including quantitative measurement of consultation durations, would be useful to inform the future design and implementation of eCDS tools.

Indexed as

Decision Support Systems, ClinicalGeneral PracticeGeneral PractitionersFamily PracticeHumansReferral and ConsultationWorkflowWorkloadConsultationsDiagnosisElectronic clinical decision supportGeneral practiceRiskWorkload

Identifiers

PMID36670354
PMCPMC9857918

What OpenQuestion holds

Textmetadata
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.