Evidence map›Paper›PMID 39444732›Full record

ArticleDigital health

The invisible work of video consultation use in Danish general practice: An ethnographic study.

Elle Christine Lüchau, Finn Olesen, Helen Atherton, Jens Søndergaard, Elisabeth Assing Hvidt

Abstract read
In one paragraph

Article in Digital health. 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.

Elle Christine LüchauDepartment of Public Health, Research Unit of General Practice, University of Southern Denmark, Odense M, Denmark.ORCID https://orcid.org/0000-0002-6455-0218
Finn OlesenSchool of Communication and Culture, Department of Digital Design and Information Studies, Aarhus University, Århus N, Denmark.
Helen AthertonPrimary Care Research Centre, University of Southampton, Southampton, UK.
Jens SøndergaardDepartment of Public Health, Research Unit of General Practice, University of Southern Denmark, Odense M, Denmark.
Elisabeth Assing HvidtDepartment of Public Health, Research Unit of General Practice, University of Southern Denmark, Odense M, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To delineate the characteristics of the work undertaken by general practitioners (GPs) and staff in implementing and utilising video consultation within their situated clinical contexts. Methods: The data material comprises 33 semi-structured interviews with GPs and staff and 132 hours of ethnographic fieldwork across seven clinics in Denmark. The data collection period spanned from June 2021 to August 2022. Reflexive thematic analysis was employed to analyse the data, drawing inspiration from the concept of invisible work as proposed by Susan Leigh Star and Anselm Strauss. Results: Four types of invisible work were identified through the analysis: (1) the work of introducing video consultations, (2) the work of stabilising video consultation use, (3) the work of coordinating users and systems, (4) the work of repair as a response to breakdowns. Conclusions: The video consultation changes the organisational structure and leads to a reconfiguration of professional roles and existing work practices. Moreover, implementing and using video consultations demands articulation, inclusion and affective work by GPs and staff, and this work includes allocating time to coordinate tasks, do workarounds and repair breakdowns.

Indexed as

ethnographygeneral practiceimplementationinterviewsInvisible workvideo consultation

Identifiers

PMID39444732
PMCPMC11497509

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.