Evidence map›Paper›PMID 30955447›Full record

ArticlePerspectives in public health2019

Try to see it my way: exploring the co-design of visual presentations of wellbeing through a workshop process.

M P Craven, R Goodwin, M Rawsthorne, D Butler, P Waddingham, S Brown, M Jamieson

Abstract read
In one paragraph

Article in Perspectives in public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Ensuring patient and public involvement in the transition to AI-assisted mental health care: A systematic scoping review and agenda for design justice.Health expectations : an international journal of public participation in health care and health policy · 2021
    Article
  7. Article
  8. 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

7 authors.

M P CravenNIHR MindTech MedTech Co-operative, Institute of Mental Health, University of Nottingham Innovation Park, Jubilee Campus, Triumph Road, Nottingham NG7 2TU, UK.ORCID https://orcid.org/0000-0001-5682-6360
R GoodwinThe Oliver Zangwill Centre, Cambridgeshire Community Services NHS Trust, Ely, UK.ORCID https://orcid.org/0000-0002-4084-3120
M RawsthorneNIHR Collaboration for Leadership in Applied Health Research and Care (CLAHRC) East Midlands, Institute of Mental Health, Nottingham, UK.
D ButlerNIHR MindTech MedTech Co-operative, Institute of Mental Health, University of Nottingham Innovation Park, Jubilee Campus, Nottingham, UK.
P WaddinghamThe Oliver Zangwill Centre, Cambridgeshire Community Services NHS Trust, Ely, UK.
S BrownNIHR MindTech MedTech Co-operative, Institute of Mental Health, University of Nottingham Innovation Park, Jubilee Campus, Nottingham, UK.
M JamiesonInstitute of Health and Wellbeing, Administration Building, Gartnavel Royal Hospital, Glasgow, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsA 10-month project funded by the NewMind network sought to develop the specification of a visualisation toolbox that could be applied on digital platforms (web- or app-based) to support adults with lived experience of mental health difficulties to present and track their personal wellbeing in a multi-media format.

methodsA participant co-design methodology, Double Diamond from the Design Council (Great Britain), was used consisting of four phases: Discover - a set of literature and app searches of wellbeing and health visualisation material; Define - an initial workshop with participants with lived experience of mental health problems to discuss wellbeing and visualisation techniques and to share personal visualisations; Develop - a second workshop to add detail to personal visualisations, for example, forms of media to be employed, degree of control over sharing; and Deliver - to disseminate the learning from the exercise.

resultsTwo design workshops were held in December 2017 and April 2018 with 13 and 12 experts-by-experience involved, respectively, including two peer researchers (co-authors) and two individual-carer dyads in each workshop, with over 50% of those being present in both workshops. A total of 20 detailed visualisations were produced, the majority focusing on highly personal and detailed presentations of wellbeing. DISCUSSION: While participants concurred on a range of typical dimensions of wellbeing, the individual visualisations generated were in contrast to the techniques currently employed by existing digital wellbeing apps and there was a great diversity in preference for different visualisation types. Participants considered personal visualisations to be useful as self-administered interventions or as a step towards seeking help, as well as being tools for self-appraisal.

conclusionThe results suggest that an authoring approach using existing apps may provide the high degree of flexibility required. Training on such tools, delivered via a module on a recovery college course, could be offered.

Indexed as

Audiovisual AidsCommunicationPersonal SatisfactionHumansMental DisordersUnited Kingdomdigital healthmental healthpublic healthself-managementvisualisation

Identifiers

PMID30955447
PMCPMC6595544

What OpenQuestion holds

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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.