Evidence map›Paper›PMID 30920381›Full record

ArticleJMIR mental health2019

Cocreative Development of the QoL-ME: A Visual and Personalized Quality of Life Assessment App for People With Severe Mental Health Problems.

David C Buitenweg, Ilja L Bongers, Dike van de Mheen, Hans Am van Oers, Chijs van Nieuwenhuizen

Abstract read
In one paragraph

Article in JMIR mental health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
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  4. Review
  5. 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
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  7. Article
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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

5 authors.

David C BuitenwegScientific Center for Care and Wellbeing (Tranzo), Tilburg School of Social and Behavioral Sciences, Tilburg University, Tilburg, Netherlands.ORCID http://orcid.org/0000-0002-8593-1722
Ilja L BongersScientific Center for Care and Wellbeing (Tranzo), Tilburg School of Social and Behavioral Sciences, Tilburg University, Tilburg, Netherlands.ORCID http://orcid.org/0000-0002-8961-5663
Dike van de MheenScientific Center for Care and Wellbeing (Tranzo), Tilburg School of Social and Behavioral Sciences, Tilburg University, Tilburg, Netherlands.ORCID http://orcid.org/0000-0002-7918-1523
Hans Am van OersScientific Center for Care and Wellbeing (Tranzo), Tilburg School of Social and Behavioral Sciences, Tilburg University, Tilburg, Netherlands.ORCID http://orcid.org/0000-0003-4063-2240
Chijs van NieuwenhuizenScientific Center for Care and Wellbeing (Tranzo), Tilburg School of Social and Behavioral Sciences, Tilburg University, Tilburg, Netherlands.ORCID http://orcid.org/0000-0002-6684-1529

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuality of life (QoL) is a prominent outcome measure in mental health. However, conventional methods for QoL assessment rely heavily on language-based communication and therefore may not be optimal for all individuals with severe mental health problems. In addition, QoL assessment is usually based on a fixed number of life domains. This approach conflicts with the notion that QoL is influenced by individual values and preferences. A digital assessment app facilitates both the accessibility and personalization of QoL assessment and may, therefore, help to further advance QoL assessment among individuals with severe mental health problems.

objectiveThis study focused on the development of an innovative, visual, and personalized QoL assessment app for people with severe mental health problems: the QoL-ME.

methodsThis study targeted 3 groups of individuals with severe mental health problems: (1) people with psychiatric problems, (2) people treated in forensic psychiatry, and (3) people who are homeless. A group of 59 participants contributed to the 6 iterations of the cocreative development of the QoL-ME. In the brainstorming stage, consisting of the first iteration, participants' previous experiences with questionnaires and mobile apps were explored. Participants gave their feedback on initial designs and wireframes in the second to fourth iterations that made up the design stage. In the usability stage that comprised the final 2 iterations, the usability of the QoL-ME was evaluated.

resultsIn the brainstorming stage, participants stressed the importance of privacy and data security and of receiving feedback when answering questionnaires. Participants in the design stage indicated a preference for paging over scrolling, linear navigation, a clean and minimalist layout, the use of touchscreen functionality in various modes of interaction, and the use of visual analog scales. The usability evaluation in the usability stage revealed good to excellent usability.

conclusionsThe cocreative development of the QoL-ME resulted in an app that corresponds to the preferences of participants and has strong usability. Further research is needed to evaluate the psychometric quality of the QoL-ME and to investigate its usefulness in practice.

Indexed as

homeless personsmedical informaticsmental healthmobile appquality of life

Identifiers

PMID30920381
PMCPMC6458539

What OpenQuestion holds

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LicenceCC BY
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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.