Evidence map›Paper›PMID 41337744›Full record

ArticleJMIR research protocols2025

Digital Information Sharing Before Consultations in General Practice: Protocol for a Scoping Review.

Mohammad S Razai, Mikail Khawaja, Zahir Shah, Isla Kuhn, Hajira Dambha-Miller, Pippa Oakeshott, Simon J Griffin

Abstract read
In one paragraph

Article in JMIR research protocols, 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

7 authors.

Mohammad S RazaiPrimary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-6671-5557
Mikail KhawajaSchool of Clinical Medicine, University of Cambridge, Cambridge, England, United Kingdom.ORCID 0009-0002-5224-6822
Zahir ShahSchool of Clinical Medicine, University of Cambridge, Cambridge, England, United Kingdom.ORCID 0009-0000-3875-2695
Isla KuhnSchool of Clinical Medicine, University of Cambridge, Cambridge, England, United Kingdom.ORCID 0000-0002-2879-4020
Hajira Dambha-MillerPrimary Care Research Centre, Aldermoor Health Centre, University of Southampton, Southampton, United Kingdom.ORCID 0000-0003-0175-443X
Pippa OakeshottSt George's School of Health and Medical Sciences, Population Health Research Institute, City St George's University of London, London, United Kingdom.ORCID 0000-0003-2568-8211
Simon J GriffinPrimary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-2157-4797

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital tools that enable patients to submit information before consultations, such as Accurx and eConsult, are increasingly used in general practice. These systems aim to streamline workflows, improve documentation, and optimize consultation efficiency. However, evidence about their implementation, impact on health inequalities, and health care outcomes remains limited and fragmented.

objectiveThis study aims to map and synthesize the evidence on digital tools used for preconsultation information sharing in family or general practice.

methodsThis scoping review will follow the Joanna Briggs Institute framework and the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. Searches were conducted on May 12, 2025, in MEDLINE (Ovid), Embase (Ovid), CINAHL (EBSCOhost), and the Cochrane Library. Gray literature will be identified via Google Scholar and the National Health Service or government websites. Eligible studies will describe or evaluate digital tools used to collect information from patients before general practice consultations. Two independent reviewers will conduct screening and data extraction. Data will be analyzed using narrative synthesis.

resultsDatabase searches identified 6991 records, with 4536 (64.88%) remaining after deduplication. Screening began in June 2025. Full-text screening was completed in November 2025, with data extraction and synthesis planned for completion by February 2026. Results will be submitted for publication in early 2026.

conclusionsThis review will summarize evidence concerning the use of digital tools for preconsultation information sharing in general practice. Findings will inform implementation, research priorities, and service improvement in digitally supported care. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/82649.

Indexed as

General PracticeInformation DisseminationReferral and ConsultationHumansResearch DesignScoping Reviews as TopicAccurxAIartificial intelligenceasynchronous communicationdigital healtheConsultgeneral practiceonline consultationpreconsultation information sharingprimary carescoping reviewtelehealth

Identifiers

PMID41337744
PMCPMC12712561

What OpenQuestion holds

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LicenceCC BY
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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.