Evidence map›Paper›PMID 30064972›Full record

ArticleJMIR research protocols2018

Technology-Enhanced Consultations in Diabetes, Cancer, and Heart Failure: Protocol for the Qualitative Analysis of Remote Consultations (QuARC) Project.

Sara E Shaw, Deborah Cameron, Joseph Wherton, Lucas M Seuren, Shanti Vijayaraghavan, Satyajit Bhattacharya, Christine A'Court, Joanne Morris, Trisha Greenhalgh

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.1field-weighted citation impact, top 5% of its field
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

7 citing papers in PubMed, 29 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Sara E ShawNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0002-7014-4793
Deborah CameronFaculty of Linguistics, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0001-5959-602X
Joseph WhertonNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0001-7701-4783
Lucas M SeurenNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0001-9631-3113
Shanti VijayaraghavanBarts Health NHS Trust, London, United Kingdom.ORCID http://orcid.org/0000-0003-0614-9933
Satyajit BhattacharyaBarts Health NHS Trust, London, United Kingdom.ORCID http://orcid.org/0000-0001-5502-4446
Christine A'CourtNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0003-1829-3860
Joanne MorrisBarts Health NHS Trust, London, United Kingdom.ORCID http://orcid.org/0000-0003-3177-364X
Trisha GreenhalghNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0003-2369-8088
University of Oxford · GBBarts Health NHS Trust · GB

Funding

Department of Health HS&DR/13/59/26Department of Health PB-PG-1216-20012
6 · The paper itself

Abstract

backgroundRemote videoconsulting is promoted by policy makers as a way of delivering health care efficiently to an aging population with rising rates of chronic illness. As a radically new service model, it brings operational and interactional challenges in using digital technologies. In-depth research on this dynamic is needed before remote consultations are introduced more widely.

objectiveThe objective of this study will be to identify and analyze the communication strategies through which remote consultations are accomplished and to guide patients and clinicians to improve the communicative quality of remote consultations.

methodsIn previous research, we collected and analyzed two separate datasets of remote consultations in a National Institute for Health Research-funded study of clinics in East London using Skype and a Wellcome Trust-funded study of specialist community heart failure teams in Oxford using Skype or FaceTime. The Qualitative Analysis of Remote Consultations (QuARC) study will combine datasets and undertake detailed interactional microanalysis of up to 40 remote consultations undertaken by senior and junior doctors and nurse specialists, including consultations with adults with diabetes, women who have diabetes during pregnancy, people consulting for postoperative cancer surgery and community-based patients having routine heart failure reviews along with up to 25 comparable face-to-face consultations. Drawing on established techniques (eg, conversation analysis), analysis will examine the contextual features in remote consultations (eg, restricted visual field) combined with close analysis of different modes of communication (eg, speech, gesture, and gaze).

resultsOur findings will address the current gap in knowledge about how technology shapes the fine detail of communication in remote consultations. Alongside academic outputs, findings will inform the coproduction of information and guidance about communication strategies to support successful remote consultations.

conclusionsIdentifying the communication strategies through which remote consultations are accomplished and producing guidance for patients and clinicians about how to use this kind of technology successfully in consultations is an important and timely goal because roll out of remote consultations is planned across the National Health Service. REGISTERED REPORT IDENTIFIER: RR1-10.2196/10913.

Indexed as

remote consultations, communication, language, linguistics, cancer, diabetes mellitus, heart failure

Identifiers

PMID30064972
PMCPMC6092589
OpenAlexW2805664704

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.