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1.
JMIR Mhealth Uhealth ; 12: e52996, 2024 Mar 11.
Article En | MEDLINE | ID: mdl-38466987

BACKGROUND: Home assessment is a critical component of successful home modifications, enabling individuals with functional limitations to age in place comfortably. A high-quality home assessment tool should facilitate a valid and reliable assessment involving health care and housing professionals, while also engaging and empowering consumers and their caregivers who may be dealing with multiple functional limitations. Unlike traditional paper-and-pencil assessments, which require extensive training and expert knowledge and can be alienating to consumers, mobile health (mHealth) apps have the potential to engage all parties involved, empowering and activating consumers to take action. However, little is known about which apps contain all the necessary functionality, quality appraisal, and accessibility. OBJECTIVE: This study aimed to assess the functionality, overall quality, and accessibility of mHealth home assessment apps. METHODS: mHealth apps enabling home assessment for aging in place were identified through a comprehensive search of scholarly articles, the Apple (iOS) and Google Play (Android) stores in the United States, and fnd.io. The search was conducted between November 2022 and January 2023 following a method adapted from PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). Reviewers performed a content analysis of the mobile app features to evaluate their functionality, overall quality, and accessibility. The functionality assessment used a home assessment component matrix specifically developed for this study. For overall quality, the Mobile Application Rating Scale (MARS) was used to determine the apps' effectiveness in engaging and activating consumers and their caregivers. Accessibility was assessed using the Web Content Accessibility Guidelines (WCAG) 2.1 (A and AA levels). These 3 assessments were synthesized and visualized to provide a comprehensive evaluation. RESULTS: A total of 698 apps were initially identified. After further screening, only 6 apps remained. Our review revealed that none of the apps used thoroughly tested assessment tools, offered all the functionality required for reliable home assessment, achieved the "good" quality threshold as measured by the MARS, or met the accessibility criteria when evaluated against WCAG 2.1. However, DIYModify received the highest scores in both the overall quality and accessibility assessments. The MapIt apps also showed significant potential due to their ability to measure the 3D environment and the inclusion of a desktop version that extends the app's functionality. CONCLUSIONS: Our review revealed that there are very few apps available within the United States that possess the necessary functionality, engaging qualities, and accessibility to effectively activate consumers and their caregivers for successful home modification. Future app development should prioritize the integration of reliable and thoroughly tested assessment tools as the foundation of the development process. Furthermore, efforts should be made to enhance the overall quality and accessibility of these apps to better engage and empower consumers to take necessary actions to age in place.


Mobile Applications , Telemedicine , Humans , Aged , United States , Independent Living , Telemedicine/methods
2.
JMIR Aging ; 6: e44525, 2023 Sep 27.
Article En | MEDLINE | ID: mdl-37787657

Background: The Augmented Reality Home Assessment Tool (ARHAT) is a mobile app developed to provide rapid, highly accurate assessments of the home environment. It uses 3D-capture technologies to help people identify and address functional limitations and environmental barriers. Objective: This study was conducted to gain stakeholder feedback on the acceptability and appropriateness of the ARHAT for identifying and addressing barriers within home environments. Methods: A qualitative descriptive study was conducted because it allows for variability when obtaining data and seeks to understand stakeholders' insights on an understudied phenomenon. Each stakeholder group (occupational therapists, housing professionals, and aging adult and caregiver "dyads") participated in a 60-minute, web-based focus group via a secure Zoom platform. Focus group data were analyzed by 2 trained qualitative research team members using a framework method for analysis. Results: A total of 19 stakeholders, aged from 18 to 85+ years, were included in the study. Of the occupational therapists (n=5, 26%), housing professionals (n=3, 16%), and dyads (n=11, 58%), a total of 32% (n=6) were male and 68% (n=13) were female, with most living in the Midwestern United States (n=10, 53%). The focus group data demonstrate the acceptability and appropriateness of the workflow, style, measurement tools, and impact of the ARHAT. All stakeholders stated that they could see the ARHAT being used at many different levels and by any population. Dyads specifically mentioned that the ARHAT would allow them to do forward planning and made them think of home modifications in a new light. Conclusions: Stakeholders found the ARHAT to be acceptable and appropriate for identifying and addressing functional limitations and barriers in the home environment. This study highlights the importance of considering the workflow, style, measurement tools, and potential impact of home assessment technology early in the developmental process.

3.
Gerontologist ; 61(8): 1241-1253, 2021 11 15.
Article En | MEDLINE | ID: mdl-33791791

BACKGROUND AND OBJECTIVES: Emerging trends in aging in place and increasing needs for home health care highlight the importance of researching older adults' daily lives as they unfold within their residential environments. However, studies that examine how older adults interact with their home environments are scarce as homes are fluid and private spaces and do not render themselves easily to the researcher's eyes. This article explores a new investigational method combining 3D-scanning and biomarker tracking technology with in-depth qualitative interviews in situ to explore older adults' daily interactions with their home environments. RESEARCH DESIGN AND METHODS: We employed a unique approach that combined spatial, locational, and physiological tracking technology with in-depth qualitative in-home interviews with older adults aged 62-89 who received home modifications as a means to successfully age in place. We explored multiple data sets both individually and collectively, using various data analysis, visualization, and integration methods to test the feasibility and utility of our approach. RESULTS: A review of individual data sets allowed unique insights into different aspects of the daily lives of this sample of older adults. When combined, the data sets and subsequent analysis allowed an in-depth understanding of participants' well-being and adaptive behaviors. DISCUSSION AND IMPLICATIONS: This study provides a strong methodology for studying the home environment and its impact on the participants' health and well-being. Insights obtained through this method can inform research, policy, and practice at all levels for professionals to continue exploring ways to support older adults aged 65 and older aging at home.


Home Care Services , Independent Living , Adaptation, Psychological , Aged , Aging , Home Environment , Humans
4.
Patient Exp J ; 7(1): 75-83, 2020.
Article En | MEDLINE | ID: mdl-34164575

We used a sociotechnical systems approach-which conceptualizes a system of interacting people, technologies, and tasks, to identify individual differences in personal health information management (PHIM) that can inform the design for patient-friendly environments, tools and technologies. We conducted a secondary thematic analysis of data collected as part of a parent project, vizHOME. The goal of vizHOME was to improve health and health outcomes through identifying key features in the environment that will inform the design of consumer health information technology HIT. We analyzed interview data collected from 20 individuals with diabetes. We found seven dimensions of PHIM: (1) level of privacy preferred for PHIM; (2) amount of engagement in PHIM; (3) extent of guidance preferred for PHIM; (4) level of documentation preferred for PHIM; (5) degree of physical distribution of PHIM; (6) amount of flexibility in PHIM routine; and (7) use of external cues to manage PHIM. Our results suggest that each dimension exists as a continuum, which are anchored from low to high. Exploring the interaction between PHIM and the sociotechnical system in which PHIM is performed revealed key dimensions of PHIM as well as individual differences in those PHIM dimensions. Identification of individual differences in PHIM can support the creation of human-centered design considerations for tailored environments, products, processes, and technologies that support PHIM. Future research will seek to validate PHIM dimensions in a larger population and develop a PHIM-typing measure to identify PHIM types toward tailoring processes, products, and to individual needs in context.

5.
Appl Ergon ; 82: 102912, 2020 Jan.
Article En | MEDLINE | ID: mdl-31430599

Sixty percent of the US population manages at least one chronic illness. For these patients, personal health information management (PHIM) is an integral part of daily life, and largely occurs within the home. However, the way in which the home supports PHIM has not been systematically investigated. The present study examined how members of the diabetic population use features of the home environment to support PHIM. Participants (N = 60) explored a simulated home environment, the VR CAVE, and identified the most useful features for performing three examples of PHIM tasks. The computer was perceived as the most useful feature for PHIM. However, perceived usefulness of features varied based on the PHIM task performed and the rooms in which features appeared. We conclude that a detailed study of the affordances of features is necessary to ease the burden of managing chronic illness, particularly diabetes mellitus, in the sociotechnical system of the home.


Diabetes Mellitus/psychology , Health Information Management/methods , Health Records, Personal/psychology , Household Articles , Interior Design and Furnishings , Adult , Chronic Disease , Computer Simulation , Female , Humans , Male , Task Performance and Analysis , United States , Virtual Reality
6.
Stud Health Technol Inform ; 220: 51-4, 2016.
Article En | MEDLINE | ID: mdl-27046553

This paper introduces the SafeHome Simulator system, a set of immersive Virtual Reality Training tools and display systems to train patients in safe discharge procedures in captured environments of their actual houses. The aim is to lower patient readmission by significantly improving discharge planning and training. The SafeHOME Simulator is a project currently under review.


High Fidelity Simulation Training/methods , Imaging, Three-Dimensional/methods , Patient Discharge , Self Care , Transitional Care , User-Computer Interface , Health Promotion/methods , Home Care Services , Safety Management
7.
J Biomed Inform ; 57: 53-61, 2015 Oct.
Article En | MEDLINE | ID: mdl-26173040

The physical spaces within which the work of health occurs - the home, the intensive care unit, the emergency room, even the bedroom - influence the manner in which behaviors unfold, and may contribute to efficacy and effectiveness of health interventions. Yet the study of such complex workspaces is difficult. Health care environments are complex, chaotic workspaces that do not lend themselves to the typical assessment approaches used in other industrial settings. This paper provides two methodological advances for studying internal health care environments: a strategy to capture salient aspects of the physical environment and a suite of approaches to visualize and analyze that physical environment. We used a Faro™ laser scanner to obtain point cloud data sets of the internal aspects of home environments. The point cloud enables precise measurement, including the location of physical boundaries and object perimeters, color, and light, in an interior space that can be translated later for visualization on a variety of platforms. The work was motivated by vizHOME, a multi-year program to intensively examine the home context of personal health information management in a way that minimizes repeated, intrusive, and potentially disruptive in vivo assessments. Thus, we illustrate how to capture, process, display, and analyze point clouds using the home as a specific example of a health care environment. Our work presages a time when emerging technologies facilitate inexpensive capture and efficient management of point cloud data, thus enabling visual and analytical tools for enhanced discharge planning, new insights for designers of consumer-facing clinical informatics solutions, and a robust approach to context-based studies of health-related work environments.


Delivery of Health Care , Medical Informatics , Virtual Reality , Environment , Humans
8.
Hum Factors ; 57(4): 658-73, 2015 Jun.
Article En | MEDLINE | ID: mdl-25977324

OBJECTIVE: This study was a proof of concept for virtual exertions, a novel method that involves the use of body tracking and electromyography for grasping and moving projections of objects in virtual reality (VR). The user views objects in his or her hands during rehearsed co-contractions of the same agonist-antagonist muscles normally used for the desired activities to suggest exerting forces. BACKGROUND: Unlike physical objects, virtual objects are images and lack mass. There is currently no practical physically demanding way to interact with virtual objects to simulate strenuous activities. METHOD: Eleven participants grasped and lifted similar physical and virtual objects of various weights in an immersive 3-D Cave Automatic Virtual Environment. Muscle activity, localized muscle fatigue, ratings of perceived exertions, and NASA Task Load Index were measured. Additionally, the relationship between levels of immersion (2-D vs. 3-D) was studied. RESULTS: Although the overall magnitude of biceps activity and workload were greater in VR, muscle activity trends and fatigue patterns for varying weights within VR and physical conditions were the same. Perceived exertions for varying weights were not significantly different between VR and physical conditions. CONCLUSIONS: Perceived exertion levels and muscle activity patterns corresponded to the assigned virtual loads, which supported the hypothesis that the method evoked the perception of physical exertions and showed that the method was promising. APPLICATION: Ultimately this approach may offer opportunities for research and training individuals to perform strenuous activities under potentially safer conditions that mimic situations while seeing their own body and hands relative to the scene.


Gestures , Muscle, Skeletal/physiology , Physical Exertion/physiology , Adult , Electromyography , Female , Hand Strength/physiology , Humans , Lifting , Male , Muscle Fatigue/physiology , Task Performance and Analysis , User-Computer Interface , Young Adult
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