Subjectively different but objectively the same? Three profiles of QoL in people with severe mental health problems

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

doi:10.1007/s11136-018-1964-7

Cited by 44 publications

(12 citation statements)

References 59 publications

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“…A two-factor structure of the MANSA may provide a hypothesis for explaining the frequently replicated finding that patients with schizophrenia report high levels of SQoL despite their often disadvantaged living conditions, a phenomenon known as the "disability paradox" [27]. Indeed, previous studies have consistently reported weak associations between objective indicators and SQoL [28,29]. The present analysis specifies those findings further.…”

Section: Discussionsupporting

confidence: 56%

Factorial structure of the Manchester Short Assessment of Quality of Life in patients with schizophrenia-spectrum disorders

2019

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Purpose Subjective quality of life is a central patient-reported outcome in schizophrenia-spectrum disorders. The Manchester Short Assessment of Quality of Life (MANSA) is an established and widely used instrument for its assessment. The present study is a secondary analysis of large schizophrenia studies and aims to establish the factorial structure of the MANSA with a rigorous two-step methodology. Methods A sample of 3120 patients was randomly split into two datasets; the first includes two thirds of the patients and serves as the calibration sample (N = 2071) and the second includes one third of them and serves as the validation sample (N = 1049). We performed an exploratory factor analysis with the calibration sample followed by a confirmatory factor analysis with the validation sample. Results Our results for both samples revealed a model with adequate fit comprising two factors. The first factor encompasses eight items measuring satisfaction with a variety of life and health-related aspects of quality of life, whereas the second consists of four items assessing satisfaction with living environment comprising living alone or with others, accommodation, family, and safety. These two factors correlate in a different way with socio-demographic characteristics such as age and living conditions. Conclusions Future trials and service evaluation projects using the MANSA to measure quality of life should take into account that satisfaction with living environment may be distinct from satisfaction with other life and health-related aspects of quality of life.

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Section: Discussionsupporting

confidence: 56%

Factorial structure of the Manchester Short Assessment of Quality of Life in patients with schizophrenia-spectrum disorders

2019

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“…The first core version targets people with psychiatric problems and people treated in forensic psychiatry and includes 3 domains of the Lancashire Quality of Life Profile (LQoLP) [ 11 ]: safety, living situation, and finances. A recent study indicates that these 3 LQoLP domains are universal [ 12 ]. The LQoLP uses a 7-point Likert scale, ranging from 1 (cannot be worse) to 7 (cannot be better).…”

Section: Methodsmentioning

confidence: 99%

“…Second, in mental health, quality of life is understood as an inherently subjective concept that is shaped by individuals’ values and preferences [ 9 - 11 ]. Research underlines this notion [ 12 - 14 ], which calls for further personalization of quality of life measurements. Third, quality of life assessment instruments may promote patient empowerment by providing patients with insight into their quality of life scores, which is an important prerequisite for shared decision making [ 15 - 17 ].…”

Section: Introductionmentioning

confidence: 99%

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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“…The first core version targets people with psychiatric problems and people treated in forensic psychiatry and includes 3 domains of the Lancashire Quality of Life Profile (LQoLP) [53]: safety , living situation , and finances . A recent study indicates that these 3 LQoLP domains are universal for people with psychiatric problems and people treated in forensic psychiatry [54]. The LQoLP uses a 7-point Likert scale, ranging from cannot be worse (1) to cannot be better (7).…”

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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Subjectively different but objectively the same? Three profiles of QoL in people with severe mental health problems

Cited by 44 publications

References 59 publications

Factorial structure of the Manchester Short Assessment of Quality of Life in patients with schizophrenia-spectrum disorders

Factorial structure of the Manchester Short Assessment of Quality of Life in patients with schizophrenia-spectrum disorders

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

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