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Visual and Personalized Quality of Life Assessment App for People With Severe Mental Health Problems: Qualitative Evaluation
BACKGROUND: QoL-ME is a digital visual personalized quality of life assessment app for people with severe mental health problems. Research reveals that e-mental health apps frequently suffer from low engagement and fall short of expectations regarding their impact on patients’ daily lives. Studies o...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7746488/ https://www.ncbi.nlm.nih.gov/pubmed/33270036 http://dx.doi.org/10.2196/19593 |
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author | Buitenweg, David van de Mheen, Dike Grund, Jean-Paul van Oers, Hans van Nieuwenhuizen, Chijs |
author_facet | Buitenweg, David van de Mheen, Dike Grund, Jean-Paul van Oers, Hans van Nieuwenhuizen, Chijs |
author_sort | Buitenweg, David |
collection | PubMed |
description | BACKGROUND: QoL-ME is a digital visual personalized quality of life assessment app for people with severe mental health problems. Research reveals that e-mental health apps frequently suffer from low engagement and fall short of expectations regarding their impact on patients’ daily lives. Studies often indicate that e-mental health apps ought to respect the needs and preferences of end users to achieve optimal user engagement. OBJECTIVE: The aim of this study was to explore the experiences of users regarding the usability and functionality of QoL-ME and whether the app is actionable and beneficial for patients. METHODS: End users (n=8) of QoL-ME contributed to semistructured interviews. An interview guide was used to direct the interviews. All interviews were audiorecorded and transcribed verbatim. Transcriptions were analyzed and coded thematically. RESULTS: Analysis revealed 3 main themes: (1) benefit, (2) actionability, and (3) characteristics of the QoL-ME. The first theme reveals that the QoL-ME app was beneficial for the majority of respondents, primarily by prompting them to reflect on their quality of life. The current version is not yet actionable; the actionability of the QoL-ME app may be improved by enabling users to view their scores over time and by supplying practical advice for quality of life improvements. Overall, participants had positive experiences with the usability, design, and content of the app. CONCLUSIONS: The QoL-ME app can be beneficial to users as it provides them with insight into their quality of life and elicits reflection. Incorporating more functionalities that facilitate self-management, such as advice and strategies for improving areas that are lacking, will likely make the app actionable. Patients positively regarded the usability, design, and contents of the QoL-ME app. |
format | Online Article Text |
id | pubmed-7746488 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-77464882020-12-21 Visual and Personalized Quality of Life Assessment App for People With Severe Mental Health Problems: Qualitative Evaluation Buitenweg, David van de Mheen, Dike Grund, Jean-Paul van Oers, Hans van Nieuwenhuizen, Chijs JMIR Ment Health Original Paper BACKGROUND: QoL-ME is a digital visual personalized quality of life assessment app for people with severe mental health problems. Research reveals that e-mental health apps frequently suffer from low engagement and fall short of expectations regarding their impact on patients’ daily lives. Studies often indicate that e-mental health apps ought to respect the needs and preferences of end users to achieve optimal user engagement. OBJECTIVE: The aim of this study was to explore the experiences of users regarding the usability and functionality of QoL-ME and whether the app is actionable and beneficial for patients. METHODS: End users (n=8) of QoL-ME contributed to semistructured interviews. An interview guide was used to direct the interviews. All interviews were audiorecorded and transcribed verbatim. Transcriptions were analyzed and coded thematically. RESULTS: Analysis revealed 3 main themes: (1) benefit, (2) actionability, and (3) characteristics of the QoL-ME. The first theme reveals that the QoL-ME app was beneficial for the majority of respondents, primarily by prompting them to reflect on their quality of life. The current version is not yet actionable; the actionability of the QoL-ME app may be improved by enabling users to view their scores over time and by supplying practical advice for quality of life improvements. Overall, participants had positive experiences with the usability, design, and content of the app. CONCLUSIONS: The QoL-ME app can be beneficial to users as it provides them with insight into their quality of life and elicits reflection. Incorporating more functionalities that facilitate self-management, such as advice and strategies for improving areas that are lacking, will likely make the app actionable. Patients positively regarded the usability, design, and contents of the QoL-ME app. JMIR Publications 2020-12-03 /pmc/articles/PMC7746488/ /pubmed/33270036 http://dx.doi.org/10.2196/19593 Text en ©David Buitenweg, Dike van de Mheen, Jean-Paul Grund, Hans van Oers, Chijs van Nieuwenhuizen. Originally published in JMIR Mental Health (http://mental.jmir.org), 03.12.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Mental Health, is properly cited. The complete bibliographic information, a link to the original publication on http://mental.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Buitenweg, David van de Mheen, Dike Grund, Jean-Paul van Oers, Hans van Nieuwenhuizen, Chijs Visual and Personalized Quality of Life Assessment App for People With Severe Mental Health Problems: Qualitative Evaluation |
title | Visual and Personalized Quality of Life Assessment App for People With Severe Mental Health Problems: Qualitative Evaluation |
title_full | Visual and Personalized Quality of Life Assessment App for People With Severe Mental Health Problems: Qualitative Evaluation |
title_fullStr | Visual and Personalized Quality of Life Assessment App for People With Severe Mental Health Problems: Qualitative Evaluation |
title_full_unstemmed | Visual and Personalized Quality of Life Assessment App for People With Severe Mental Health Problems: Qualitative Evaluation |
title_short | Visual and Personalized Quality of Life Assessment App for People With Severe Mental Health Problems: Qualitative Evaluation |
title_sort | visual and personalized quality of life assessment app for people with severe mental health problems: qualitative evaluation |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7746488/ https://www.ncbi.nlm.nih.gov/pubmed/33270036 http://dx.doi.org/10.2196/19593 |
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