User Requirements for Inclusive Technology for Older Adults

Jovanovic, Mladjan; Angeli, Antonella De; McNeill, Andrew; Coventry, Lynne

doi:10.1080/10447318.2021.1921365

Cited by 17 publications

(6 citation statements)

References 74 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, hospital-to-home interventions seeking to incorporate digital technologies should consider the intersection between disability and age and offer training and practice for the implemented technology [ 132 ]. Future research should explore ways to meet the needs of older adults with various impairments by designing technology that is as inclusive as possible [ 133 ]. In efforts to reduce inequities related to age and disability, strategies such as including individuals with disabilities (eg, dementia [ 134 ]) in technological development have been used [ 135 ].…”

Section: Discussionmentioning

confidence: 99%

Inclusion of Older Adults in Digital Health Technologies to Support Hospital-to-Home Transitions: Secondary Analysis of a Rapid Review and Equity-Informed Recommendations

Kokorelias¹,

Nelson²,

Tang³

et al. 2022

JMIR Aging

View full text Add to dashboard Cite

Background Digital health technologies have been proposed to support hospital-to-home transition for older adults. The COVID-19 pandemic and the associated physical distancing guidelines have propelled a shift toward digital health technologies. However, the characteristics of older adults who participated in digital health research interventions to support hospital-to-home transitions remain unclear. This information is needed to assess whether current digital health interventions are generalizable to the needs of the broader older adult population. Objective This rapid review of the existing literature aimed to identify the characteristics of the populations targeted by studies testing the implementation of digital health interventions designed to support hospital-to-home transitions, identify the characteristics of the samples included in studies testing digital health interventions used to support hospital-to-home transitions, and create recommendations for enhancing the diversity of samples within future hospital-to-home digital health interventions. Methods A rapid review methodology based on scoping review guidelines by Arksey and O’Malley was developed. A search for peer-reviewed literature published between 2010 and 2021 on digital health solutions that support hospital-to-home transitions for older adults was conducted using MEDLINE, Embase, and CINAHL databases. The data were analyzed using descriptive statistics and qualitative content analysis. The Sex- and Gender-Based Analysis Plus lens theoretically guided the study design, analysis, and interpretation. Results A total of 34 studies met the inclusion criteria. Our findings indicate that many groups of older adults were excluded from these interventions and remain understudied. Specifically, the oldest old and those living with cognitive impairments were excluded from the studies included in this review. In addition, very few studies have described the characteristics related to gender diversity, education, race, ethnicity, and culture. None of the studies commented on the sexual orientation of the participants. Conclusions This is the first review, to our knowledge, that has mapped the literature focusing on the inclusion of older adults in digital hospital-to-home interventions. The findings suggest that the literature on digital health interventions tends to operationalize older adults as a homogenous group, ignoring the heterogeneity in older age definitions. Inconsistency in the literature surrounding the characteristics of the included participants suggests a need for further study to better understand how digital technologies to support hospital-to-home transitions can be inclusive.

show abstract

Section: Discussionmentioning

confidence: 99%

Inclusion of Older Adults in Digital Health Technologies to Support Hospital-to-Home Transitions: Secondary Analysis of a Rapid Review and Equity-Informed Recommendations

Kokorelias¹,

Nelson²,

Tang³

et al. 2022

JMIR Aging

View full text Add to dashboard Cite

show abstract

“…Concerning technology design, the objective is to find cost-effective solutions to help independent living and provide health care and well-being [10]. A comprehensive analysis of information and communication technology research and development revealed the common goals of these technologies as the provision of health, accessibility, and safety [11,12]. Many technologies seek to assist older adults with everyday activities [4,11,[13][14][15].…”

Section: Introductionmentioning

confidence: 99%

“…A comprehensive analysis of information and communication technology research and development revealed the common goals of these technologies as the provision of health, accessibility, and safety [11,12]. Many technologies seek to assist older adults with everyday activities [4,11,[13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Ambient Assisted Living: Scoping Review of Artificial Intelligence Models, Domains, Technology, and Concerns

Jovanovic¹,

Mitrov²,

Zdravevski³

et al. 2022

J Med Internet Res

Self Cite

View full text Add to dashboard Cite

Background Ambient assisted living (AAL) is a common name for various artificial intelligence (AI)—infused applications and platforms that support their users in need in multiple activities, from health to daily living. These systems use different approaches to learn about their users and make automated decisions, known as AI models, for personalizing their services and increasing outcomes. Given the numerous systems developed and deployed for people with different needs, health conditions, and dispositions toward the technology, it is critical to obtain clear and comprehensive insights concerning AI models used, along with their domains, technology, and concerns, to identify promising directions for future work. Objective This study aimed to provide a scoping review of the literature on AI models in AAL. In particular, we analyzed specific AI models used in AАL systems, the target domains of the models, the technology using the models, and the major concerns from the end-user perspective. Our goal was to consolidate research on this topic and inform end users, health care professionals and providers, researchers, and practitioners in developing, deploying, and evaluating future intelligent AAL systems. Methods This study was conducted as a scoping review to identify, analyze, and extract the relevant literature. It used a natural language processing toolkit to retrieve the article corpus for an efficient and comprehensive automated literature search. Relevant articles were then extracted from the corpus and analyzed manually. This review included 5 digital libraries: IEEE, PubMed, Springer, Elsevier, and MDPI. Results We included a total of 108 articles. The annual distribution of relevant articles showed a growing trend for all categories from January 2010 to July 2022. The AI models mainly used unsupervised and semisupervised approaches. The leading models are deep learning, natural language processing, instance-based learning, and clustering. Activity assistance and recognition were the most common target domains of the models. Ambient sensing, mobile technology, and robotic devices mainly implemented the models. Older adults were the primary beneficiaries, followed by patients and frail persons of various ages. Availability was a top beneficiary concern. Conclusions This study presents the analytical evidence of AI models in AAL and their domains, technologies, beneficiaries, and concerns. Future research on intelligent AAL should involve health care professionals and caregivers as designers and users, comply with health-related regulations, improve transparency and privacy, integrate with health care technological infrastructure, explain their decisions to the users, and establish evaluation metrics and design guidelines. Trial Registration PROSPERO (International Prospective Register of Systematic Reviews) CRD42022347590; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022347590

show abstract

“…Other identified factors that support independent living are to facilitate socialisation, communication, and to consider eHealth user's safety [2,11,41]. The study by [13], recommends that eHealth services should be implemented with the aim to strengthen older adults' mobility and self-management.…”

Section: Findings and Discussionmentioning

confidence: 99%

Human-Computer Interaction for Older Adults - a Literature Review on Technology Acceptance of eHealth Systems

Ahmad¹,

Mozelius²

2022

J. Engg. Res. & Sci.

View full text Add to dashboard Cite

The population of older adults globally increased during the last couple of decades. Due to these demographic changes, the need for medical care has also significantly increased. Despite the age-related disabilities and chronic diseases, most older adults prefer independent living in their home environment. Technology-enhanced systems and eHealth applications seem to provide some promising solutions for older adults' well-being and independent living. However, the adoption and acceptance of these applications for older adults are unclear and further research is needed in this area. This study was carried out as a literature review, to meet the aim of identifying and discussing important factors in the Human-computer interaction of eHealth for older adults. The overall research question for this study was: What are the critical factors to consider for an improved human-computer interaction in technology-enhanced health care systems for older adults? Findings indicate some important factors to address: personal integrity, trust, technology acceptance, accessibility of ICT and eHealth literacy. If the presented factors are considered and addressed, it would be easier to achieve the desired aim of independent living. The authors recommend a human-computer interaction that is older adults centred, with the involvement of older adults users in the design process. Proper education and training on the use of eHealth services are also of great importance. Finally, the technology-enhanced system should also provide good social and technological support to the users.

show abstract

User Requirements for Inclusive Technology for Older Adults

Cited by 17 publications

References 74 publications

Inclusion of Older Adults in Digital Health Technologies to Support Hospital-to-Home Transitions: Secondary Analysis of a Rapid Review and Equity-Informed Recommendations

Inclusion of Older Adults in Digital Health Technologies to Support Hospital-to-Home Transitions: Secondary Analysis of a Rapid Review and Equity-Informed Recommendations

Ambient Assisted Living: Scoping Review of Artificial Intelligence Models, Domains, Technology, and Concerns

Human-Computer Interaction for Older Adults - a Literature Review on Technology Acceptance of eHealth Systems

Contact Info

Product

Resources

About