Worth a thousand words? <scp>V</scp>isual concept mapping of the quality of life of people with severe mental health problems

Buitenweg, David; Bongers, Ilja L.; Mheen, Dike van de; Oers, Hans van; Nieuwenhuizen, Chijs van

doi:10.1002/mpr.1721

Cited by 12 publications

(14 citation statements)

References 64 publications

(74 reference statements)

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“…The following 8 domains of quality of life were included: (1) support and attention, (2) social contacts, (3) happiness and love, (4) relaxation and harmony, (5) leisure, (6) lifestyle, (7) finances, and (8) health and living. These domains were identified in a visual concept mapping study of the quality of life of people with severe mental health problems [ 21 ].…”

Section: Methodsmentioning

confidence: 99%

“…A thorough description of the development of the QoL-ME app, including additional visual material, is provided elsewhere [ 21 ].…”

Section: Methodsmentioning

confidence: 99%

“…After filling out the questions, respondents receive direct feedback from the app in the form of an overview of their answers. The QoL-ME app was developed cocreatively in close collaboration with patients, family members, and care professionals [ 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

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Visual and Personalized Quality of Life Assessment App for People With Severe Mental Health Problems: Qualitative Evaluation

Buitenweg¹,

Mheen²,

Grund³

et al. 2020

JMIR Ment Health

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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.

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Section: Methodsmentioning

confidence: 99%

“…A thorough description of the development of the QoL-ME app, including additional visual material, is provided elsewhere [ 21 ].…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Visual and Personalized Quality of Life Assessment App for People With Severe Mental Health Problems: Qualitative Evaluation

Buitenweg¹,

Mheen²,

Grund³

et al. 2020

JMIR Ment Health

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View full text Add to dashboard Cite

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“…The following 8 domains of QoL are included: (1) Support and Attention, (2) Social Contacts, (3) Happiness and Love, (4) Relaxation and Harmony, (5) Leisure, (6) Lifestyle, (7) Finances, and (8) Health and Living. These domains were identified in a visual concept mapping study of the QoL of people with severe mental health problems [56]. Domains are assessed using 2 to 4 visual items.…”

Section: Methodsmentioning

confidence: 99%

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

Buitenweg¹,

Bongers²,

Mheen³

et al. 2019

JMIR Ment Health

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Background Quality 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. Objective This study focused on the development of an innovative, visual, and personalized QoL assessment app for people with severe mental health problems: the QoL-ME. Methods This 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. Results In 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. Conclusions The 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.

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“…The multidimensionality of QOL was supported in the literature. Buitenweg, Bongers, Mheen, Oers, and Van Nieuwenhuizen (2018) from psychology conducted a study that included healthcare providers, patients, and patients' family members (N = 82). They developed a visual concept map on QOL for clients with mental disorders.…”

Section: Balance Among Multidimensional Factors Enhances Qolmentioning

confidence: 99%

Quality of Life Through the Prism of the Roy Adaptation Model

Almasloukh

Fahs

2020

Nurs Sci Q

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This concept analysis is to expand knowledge about quality of life within the Roy adaptation model. The Walker and Avant concept analysis methodology is utilized. The perception of life events influences quality of life, and quality of life influences decision-making and actions. Balance, self-esteem, and satisfaction are essentials of quality of life. The authors in this concept analysis provide a basis for further research studies measuring quality of life using the theoretical basis of the Roy adaptation model.

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Worth a thousand words? Visual concept mapping of the quality of life of people with severe mental health problems

Cited by 12 publications

References 64 publications

Visual and Personalized Quality of Life Assessment App for People With Severe Mental Health Problems: Qualitative Evaluation

Visual and Personalized Quality of Life Assessment App for People With Severe Mental Health Problems: Qualitative Evaluation

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

Quality of Life Through the Prism of the Roy Adaptation Model

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