Evidence map›Paper›PMID 31844555›Full record

ArticleResearch involvement and engagement2019

Group based video-conferencing for adults with depression: findings from a user-led qualitative data analysis using participatory theme elicitation.

Paul Best, Tracey McConnell, Gavin Davidson, Jennifer Badham, Ruth D Neill

Registry-linked trialAbstract read
In one paragraph

Article in Research involvement and engagement, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03288506 (Developing E-health Services), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT03288506 nacompletednot on this map

Developing E-health Services (DES): The Feasibility and Acceptability of Group Based Video-conferencing for Adults With Depression

TypeinterventionalSponsorQueen's University, BelfastRan2016 to 2018Enrolled60ConditionsDepressionArmsGoogle Hangout (VC) group
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. An exercise intervention for people with serious mental illness: Findings from a qualitative data analysis using participatory theme elicitation.Health expectations : an international journal of public participation in health care and health policy · 2020
    Article
  4. 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.

Paul Best1School of Social Sciences Education and Social Work. 6 College Park, Queen's University Belfast, Belfast, UK.ORCID 0000-0001-6947-8916
Tracey McConnell1School of Social Sciences Education and Social Work. 6 College Park, Queen's University Belfast, Belfast, UK.
Gavin Davidson1School of Social Sciences Education and Social Work. 6 College Park, Queen's University Belfast, Belfast, UK.
Jennifer BadhamCentre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Royal Victoria Hospital, Queen's University Belfast, Belfast, UK.
Ruth D Neill1School of Social Sciences Education and Social Work. 6 College Park, Queen's University Belfast, Belfast, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccessing support services for depression has been historically difficult given the societal stigma that exists regarding the condition. Recent advances in digital technologies continue to be postulated as a potential panacea yet the results from research trials have been mixed with a range of effect sizes.

methodsThis article offers a different perspective by presenting a panel of end users (co-researchers) with qualitative interview data (

resultsCo-researchers reported that while VC based interventions appeared convenient, accessible and relatively low cost - additional training and support should be offered to improve uptake and retention. In addition, co-researchers suggested that further exploration is needed regarding the level of self-awareness one feels in a group based VC environment and whether this facilitates disclosure (through disinhibition) or increases anxiety.

conclusionThe findings presented here appear to support existing (researcher and academic-led) literature in the field as well as suggest new areas for investigation. By presenting data generated solely by co-researchers, this article also adds to the evidence surrounding participatory analysis methods - particularly the growing need for robust approaches that are accessible and less time-consuming than those currently available. TRIAL REGISTRATION NUMBER: NCT03288506 (Clinicaltrials.gov) 20th Sept 2017 https://clinicaltrials.gov/ct2/show/NCT03288506.

Indexed as

Participatory analysisParticipatory theme elicitationUser involvement

Identifiers

PMID31844555
PMCPMC6896757

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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.