Utility of 3D modelling of the patient's living environment as perceived by occupational therapists.

INTRODUCTION: Visiting a patient's living environment is important for occupational therapists, albeit costly and time consuming. MapIt is a mobile app producing a 3D representation of a home with the possibility of taking measurements. The purpose of this study was to explore the utility of a 3D representation of a patient's home for the clinical practice of occupational therapists. METHODS: Case study in which the unit of analysis was the utility of MapIt as defined by ISO 9241-11:2018 and as perceived by occupational therapists in four different occupational therapy clinical settings (Canada). Onsite observations with 10 occupational therapists (and their patients) were triangulated with data from interviews, diaries, and logbooks. Inductive thematic condensation led to emerging conclusions for each clinical setting, fuelling the next case data collection and analysis. Inter-case analysis was corroborated by additional occupational therapists, through crowdsourcing and expert review. RESULTS: Occupational therapists' clinical reasoning was supported by the MapIt app, enhancing and streamlining their work and inducing adjustments to treatment plans. Occupational therapists saw and measured the patient's environment remotely, to better match person-environment-occupation and promote occupational engagement. MapIt's 3D representations were judged useful to communicate between occupational therapists and stakeholders, to educate, allow continuity, optimise resources, minimise the patient's time on a waitlist for homecare, and save time for everyone. DISCUSSION: MapIt allowed occupational therapists who performed home visits to bring a little of the patients' home to their office, whereas occupational therapists without access to the home could see it and take measurements. MapIt's utility was confirmed for practice in clinical settings and for better continuity of care between settings. CONCLUSION: MapIt makes it possible for occupational therapists to 'walk around' the patient's home remotely, but the possibility of measuring environmental elements is a 3D model's true added value over currently used photos or short videos.

Older adults' use of an online decision support system: Usability and stability of assistive technology recommendations.

Online decision support systems (DSS) may help older adults self-select assistive technology (AT) by offering recommendations. User interactions with DSSs may change the recommendations they receive. OBJECTIVE: We evaluated recommendations stability and usability of an online DSS. METHODS: Middle-aged and older adults (n = 43) were observed while using the DSS. The stability of DSS recommendations (ATs and advice) was compared between two time points, using a three-point scale: no, partial, or full agreement. Usability was coded, referencing ISO standards. RESULTS: Half (51%) of participants received AT recommendations from the DSS in both sessions, with full (14%) or partial (12%) agreement. All but one participant received advice, and almost all of them had full (40%) or partial (56%) agreement between sessions. Many of the usability issues appear to be the result of the users inaccurately measuring their environment, challenges in understanding the questions being asked, and improperly making selections from the system. DISCUSSION: Strict AT matching rules versus generic advice, and usability issues, likely reduced the matching rate and stability of AT recommendations. CONCLUSION: It appears that some users may require assistance with the system, and we suggest changes to the DSS format and content to improve stability and usability.

Adapting a Person's Home in 3D Using a Mobile App (MapIt): Participatory Design Framework Investigating the App's Acceptability.

BACKGROUND: Home adaptation processes enhancing occupational engagement rely on identifying environmental barriers, generally during time-consuming home visits performed by occupational therapists (OTs). Relevance of a 3D model to the OT's work has been attested, but a convenient and consumer-available technology to map the home environment in 3D is currently lacking. For instance, such a technology would support the exploration of home adaptations for a person with disability, with or without an OT visit. OBJECTIVE: The aim of this study was to document the development and acceptability of a 3D mapping eHealth technology, optimizing its contribution to the OT's work when conducting assessments in which home representations are essential to fit a person's needs. METHODS: A user-centered perspective, embedded in a participatory design framework where users are considered as research partners (not as just study participants), is reported. OTs, engineers, clinicians, researchers, and students, as well as the relatives of older adults contributed by providing ongoing feedback (eg, demonstrations, brainstorming, usability testing, questionnaires, prototyping). System acceptability, as per the Nielsen model, is documented by deductively integrating the data. RESULTS: A total of 24 stakeholders contributed significantly to MapIt technology's co-design over a span of 4 years. Fueled by the objective to enhance MapIt's acceptability, 11 iterations lead to a mobile app to scan a room and produce its 3D model in less than 5 minutes. The app is available for smartphones and paired with computer software. Scanning, visualization, and automatic measurements are done on a smartphone equipped with a motion sensor and a camera with depth perception, and the computer software facilitates visualization, while allowing custom measurement of architectural elements directly on the 3D model. Stakeholders' perception was favorable regarding MapIt's acceptability, testifying to its usefulness (ie, usability and utility). Residual usability issues as well as concerns about accessibility and scan rendering still need to be addressed to foster its integration to a clinical context. CONCLUSIONS: MapIt allows to scan a room quickly and simply, providing a 3D model from images taken in real-world settings and to remotely but jointly explore home adaptations to enhance a person's occupational engagement.

Self-Selection of Bathroom-Assistive Technology: Development of an Electronic Decision Support System (Hygiene 2.0).

BACKGROUND: A clinical algorithm (Algo) in paper form is used in Quebec, Canada, to allow health care workers other than occupational therapists (OTs) to make bathroom adaptation recommendations for older adults. An integrated knowledge transfer process around Algo suggested an electronic version of this decision support system (electronic decision support system [e-DSS]) to be used by older adults and their caregivers in search of information and solutions for their autonomy and safety in the bathroom. OBJECTIVE: This study aims to (1) create an e-DSS for the self-selection of bathroom-assistive technology by community-dwelling older adults and their caregivers and (2) assess usability with lay users and experts to improve the design accordingly. METHODS: On the basis of a user-centered design approach, the process started with content identification for the prototype through 7 semistructured interviews with key informants of various backgrounds (health care providers, assistive technology providers, and community services) and 4 focus groups (2 with older adults and 2 with caregivers). A thematic content transcript analysis was carried out and used during the creation of the prototype. The prototype was refined iteratively using think-aloud and observation methods with a clinical expert (n=1), researchers (n=3), OTs (n=3), older adults (n=3), and caregivers (n=3), who provided information on the usability of the e-DSS. RESULTS: Overall, 4 themes served as the criteria for the prototype of the electronic Algo (Hygiene 2.0 [H2.0]): focus (safety, confidentiality, well-being, and autonomy), engage, facilitate (simplify, clarify, and illustrate), and access. For example, users first pay attention to the images (engage and illustrate) that can be used to depict safe postures (safety), illustrate questions embedded in the decision support tool (clarify and illustrate), and demonstrate the context of the use of assistive technology (safety and clarify). CONCLUSIONS: The user-centered design of H2.0 allowed the cocreation of an e-DSS in the form of a website, in line with the needs of community-dwelling older adults and their caregivers seeking bathroom-assistive technology that enables personal hygiene. Each iteration improved usability and brought more insight into the users' realities, tailoring the e-DSS to the implementation context.