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

A scoping review of the use of visual tools and adapted easy-read approaches in Quality-of-Life instruments for adults

PURPOSE

Self-Reporting using traditional text-based Quality-of-Life (QoL) instruments can be difficult for people living with sensory impairments, communication challenges or changes to their cognitive capacity. Adapted communication techniques, such as Easy-Read techniques, or use of pictures could remove barriers to participation for a wide range of people. This review aimed to identify published studies reporting adapted communication approaches for measuring QoL, the methodology used in their development and validation among adult populations.

METHODS

A scoping review of the literature using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) extension for scoping reviews checklist was undertaken.

RESULTS

The initial search strategy identified 13,275 articles for screening, with 264 articles identified for full text review. Of these 243 articles were excluded resulting in 21 studies for inclusion. The majority focused on the development of an instrument (12 studies) or a combination of development with some aspect of validation or psychometric testing (7 studies). Nineteen different instruments were identified by the review, thirteen were developed from previously developed generic or condition-specific quality of life instruments, predominantly aphasia (7 studies) and disability (4 studies). Most modified instruments included adaptations to both the original questions, as well as the response categories.

CONCLUSIONS

Studies identified in this scoping review demonstrate that several methods have been successfully applied e.g. with people living with aphasia post-stroke and people living with a disability, which potentially could be adapted for application with more diverse populations. A cohesive and interdisciplinary approach to the development and validation of communication accessible versions of QOL instruments, is needed to support widespread application, thereby reducing reliance on proxy assessors and promoting self-assessment of QOL across multiple consumer groups and sectors.

Barriers to Accessing Mental Health Services by Migrant Youth

The purpose of the study was to identify barriers to accessing mental health services by migrant youth in a middle-sized central Canadian city. We asked participants, "What would stop you from talking to someone about mental health stress?". We interviewed 30 youth aged 16 to 22 who migrated from 10 different countries and lived in Canada for an average of 29 months. The data was analyzed using group concept mapping. The participants identified five concepts: fear of being misunderstood or ignored, desire for confidentiality, lack of trust and understanding, talking about it as not appropriate, and fear of the disclosure process. We compare these results with the literature.

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

Background: Quality of Life (QoL) assessment in people with severe mental health problems may benefit from improved personalization and accessibility. Therefore, an innovative, digital, visual, and personalized QoL assessment app for people with severe mental health problems was recently developed: the QoL-ME. The aim of this study was to evaluate the psychometric quality of the QoL-ME by assessing its reliability, validity, and responsiveness. Methods: To examine the reliability of the QoL-ME, the internal consistency of its subscales was assessed using Cronbach's Alpha. Correlations between the QoL-ME and the MANSA were computed to appraise the construct validity of the QoL-ME. Internal responsiveness was evaluated using the standardized response mean and external responsiveness was investigated using hierarchical regression. Results: Cronbach's Alpha's of the subscales of the QoL-ME ranged between 0.5 and 0.84. In accordance with expectations, the language-based core version of the QoL-ME correlated strongly (r = between 0.55 and 0.76) with the MANSA, whilst the picture-based additional modules of the QoL-ME correlated moderately (r = 0.3) with the MANSA. The standardized response mean was 0.23 and the regression model revealed a coefficient β of -0.01. Conclusions: The QoL-ME has adequate psychometric properties. In comparison with similar pictorial instruments, both the QoL-ME's reliability and validity can be considered as sufficient. The results indicate that the responsiveness of the QoL-ME is insufficient. Additional research is needed to evaluate and potentially modify the instrument to improve its responsiveness.

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 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.

Reflecting on the research encounter for people in the early stages of dementia: Lessons from an embedded qualitative study

Gathering meaningful data from people with dementia presents challenges to researchers involved in both qualitative and quantitative studies. Careful planning and implementation are required, including skilful and sympathetic management by the researcher who must pay attention to the cognitive challenges experienced by the person with dementia. These challenges are particularly evident when conducting structured interviews using standardised measures. This paper presents the findings of an embedded qualitative study undertaken within a pragmatic randomised controlled trial. The novel method involves nesting a qualitative analysis within a quantitative study by recording incidental conversation during structured interviews, requiring no additional data collection. The method shone a light on the formal interview process itself, something rarely revealed outside the interview setting. It provided a unique insight into the challenges posed by research participation for people in early-stage dementia. Analysis revealed three main themes relating to dementia as a condition and to the research design. First, people with dementia contributed very few conversational comments during the structured interviews. Second, the context of the interview, that is: managing the conversational interchange, responding to direct and often sensitive questions and making decisions about day-to day-feelings and experiences was difficult for participants to manage. Third, people in early stage dementia struggled with the content of the structured interviews due to their linguistic and cognitive demands. The findings raise questions about how people with dementia are included in research and the methods employed to gather accurate data with minimal inconvenience and stress for research participants.

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

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.

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

OBJECTIVES

Conventional approaches to quality of life (QoL) measurement rely heavily on verbal, language-based communication. They require respondents to have significant cognitive and verbal ability, making them potentially unsuitable for people with severe mental health problems. To facilitate an alternative approach to QoL assessment, the current study aims to develop an alternative, visual representation of QoL for people with severe mental health problems.

METHODS

An alternative, visual adaptation of the concept mapping method was used to construct this visual representation of QoL. Eighty-two participants (i.e., patients, care professionals, and family members) contributed to this study. Results were processed statistically to construct the concept map.

RESULTS

The concept map contains 160 unique visual statements, grouped into 8 clusters labelled (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. Examples of visual statements are pictures of family silhouettes, romantic couples, natural scenes, houses, sports activities, wallets and coins, smiley faces, and heart shapes. The clusters were interpreted and labelled by participants.

CONCLUSIONS

Almost all of the statements correspond to clusters found in previous (non-visual) QoL research. Hence, QoL domains can also be presented visually.