Evidence map›Paper›PMID 37369520›Full record

ArticleBJGP open2023

Analysis of in-person general practice respiratory consultations: assessing translatability to telehealth.

Sunayana Raghuraman, Jayashanthi Ramarao, Jared Lane, Kanesha Ward, Annie Lau

Abstract read
In one paragraph

Article in BJGP open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Sunayana RaghuramanCentre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia sunayana.raghuraman@health.nsw.gov.au.
Jayashanthi RamaraoCentre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.
Jared LaneCentre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.ORCID http://orcid.org/0000-0002-8700-6354
Kanesha WardCentre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.
Annie LauCentre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic saw many GPs adopt telehealth as a consultation modality to minimise disease transmission. Patients presenting with respiratory ailments were particularly affected by this transition, given the overlap of general respiratory symptoms with those of COVID-19. It is unclear if the rapid transition to telehealth has compromised the ability to conduct certain tasks that were possible during in-person consultations.

aimTo investigate the extent to which tasks observed during in-person GP consultations are replicable in telehealth, focusing on patients with respiratory concerns. DESIGN &

settingTwenty-six respiratory consultations were extracted from a database of 281 consultations collated from various general practices in the UK.

methodInteractions between GPs and respiratory patients were assessed through in-depth transcript review and de-identified video analysis. Then, tasks performed and physical artefacts used during the consultations were identified and ranked in terms of their translatability to telehealth, using a newly developed scoring system.

resultsOverall, the translatability to telehealth score for these respiratory consultations was 6.7/10, suggesting that many tasks can be replicated over telehealth, but that they might require additional physical artefacts to support this. However, some tasks are not currently amenable to telehealth (for example, auscultation).

conclusionWhile many aspects of respiratory consultations are replicable over telehealth, some tasks cannot be replicated at this stage.

Indexed as

COVID-19digitalgeneral practicereferral and consultationremoterespiratorytelemedicine

Identifiers

PMID37369520
PMCPMC11176680

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.