Evidence map›Paper›PMID 31598830›Full record

ArticleScience and engineering ethics2020

Exploring Human Values in the Design of a Web-Based QoL-Instrument for People with Mental Health Problems: A Value Sensitive Design Approach.

Ivo Maathuis, Maartje Niezen, David Buitenweg, Ilja L Bongers, Chijs van Nieuwenhuizen

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Article in Science and engineering ethics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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.

Ivo MaathuisScientific Center for Care and Wellbeing (Tranzo), Tilburg University, Tilburg, The Netherlands. ivo.maathuis@gmail.com.ORCID 0000-0002-2817-4163
Maartje NiezenTilburg Institute for Law, Technology, and Society (TILT), Tilburg, The Netherlands.
David BuitenwegScientific Center for Care and Wellbeing (Tranzo), Tilburg University, Tilburg, The Netherlands.
Ilja L BongersScientific Center for Care and Wellbeing (Tranzo), Tilburg University, Tilburg, The Netherlands.
Chijs van NieuwenhuizenScientific Center for Care and Wellbeing (Tranzo), Tilburg University, Tilburg, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quality of life (QoL) is an important outcome measure in mental health care. Currently, QoL is mainly measured with paper and pencil questionnaires. To contribute to the evaluation of treatment, and to enhance substantiated policy decisions in the allocation of resources, a web-based, personalized, patient-friendly and easy to administer QoL instrument has been developed: the QoL-ME. While human values play a significant role in shaping future use practices of technologies, it is important to anticipate on them during the design of the QoL-instrument. The value sensitive design (VSD) approach offers a theory and method for addressing these values in a systematic and principled manner in the design of technologies. While the VSD approach has been applied in the field of somatic care, we extended the VSD approach to the field of mental healthcare with the aim to enable developers of the QoL-instrument to reflect on important human values and anticipate potential value conflicts in its design. We therefore explored how VSD can be used by investigating the human values that are relevant for the design of the QoL-ME. Our exploration reveals that the values autonomy, efficiency, empowerment, universal usability, privacy, redifinition of roles, (redistribution) of responsibilites, reliability, solidarity, surveillance and trust are at stake for the future users of the technology. However, we argue that theoretical reflections on the potential ethical impact of a technology in the design phase can only go so far. To be able to comprehensively evaluate the usability the VSD approach, a supplementary study of the use practices of the technology is needed.

Indexed as

Mental HealthQuality of LifeHumansInternetReproducibility of ResultsSurveys and QuestionnairesMental healthcaremHealthQuality of lifeValue sensitive design

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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.