Dataset Information

Factors Influencing the Adoption of Smart Health Technologies for People With Dementia and Their Informal Caregivers: Scoping Review and Design Framework.

ABSTRACT:

Background

Smart Health technologies (s-Health technologies) are being developed to support people with dementia (PwD) and their informal caregivers at home, to improve care and reduce the levels of burden and stress they experience. However, although s-Health technologies have the potential to facilitate this, the factors influencing a successful implementation in this population are still unknown.

Objective

The aim of this study was to review existing literature to explore the factors influencing PwD and their informal caregivers' adoption of s-Health technologies for home care.

Methods

Following the Arksey and O'Malley methodology, this study is a scoping review providing a narrative description of the scientific literature on factors influencing s-Health technology adoption for PwD and their informal caregivers. A search was conducted using PubMed, the Cochrane library, the IEEE library, and Scopus. Publications screening was conducted by 2 researchers based on inclusion criteria, and full-text analysis was then conducted by 1 researcher. The included articles were thematically analyzed by 2 researchers to gain an insight into factors influencing adoption that PwD and their informal caregivers have to encounter when using s-Health technologies. Relevant information was identified and coded. Codes were later discussed between the researchers for developing and modifying them and for achieving a consensus, and the researchers organized the codes into broader themes.

Results

Emerging themes were built in a way that said something specific and meaningful about the research question, creating a list of factors influencing the adoption of s-Health technologies for PwD and their informal caregivers, including attitudinal aspects, ethical issues, technology-related challenges, condition-related challenges, and identified gaps. A design framework was created as a guide for future research and innovation in the area of s-Health technologies for PwD and their informal caregivers: DemDesCon for s-Health Technologies. DemDesCon for s-Health Technologies addresses 4 domains to consider for the design and development of s-Health technologies for this population: cognitive decline domain, physical decline domain, social domain, and development domain.

Conclusions

Although s-Health technologies have been used in health care scenarios, more work is needed for them to fully achieve their potential for use in dementia care. Researchers, businesses, and public governments need to collaborate to design and implement effective technology solutions for PwD and their informal caregivers, but the lack of clear design guidelines seems to be slowing the process. We believe that the DemDesCon framework will provide them with the guidance and assistance needed for creating meaningful devices for PwD home care and informal caregivers, filling a much-needed space in the present knowledge gap.

SUBMITTER: Guisado-Fernandez E

PROVIDER: S-EPMC6716546 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Publications

Factors Influencing the Adoption of Smart Health Technologies for People With Dementia and Their Informal Caregivers: Scoping Review and Design Framework.

Guisado-Fernández Estefanía E Giunti Guido G Mackey Laura M LM Blake Catherine C Caulfield Brian Michael BM

JMIR aging 20190430 1

<h4>Background</h4>Smart Health technologies (s-Health technologies) are being developed to support people with dementia (PwD) and their informal caregivers at home, to improve care and reduce the levels of burden and stress they experience. However, although s-Health technologies have the potential to facilitate this, the factors influencing a successful implementation in this population are still unknown.<h4>Objective</h4>The aim of this study was to review existing literature to explore the f ...[more]

PMID: 31518262

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Project description:BackgroundThe worldwide increase in community-dwelling people with dementia underscores the need for innovative eHealth technologies that aim to provide support to both patients and their informal caregivers in the home setting. However, sustainable implementation of eHealth technologies within this target group can be difficult.ObjectiveThe goal of this study was to gain a thorough understanding of why it is often difficult to implement eHealth technologies in practice, even though numerous technologies are designed to support people with dementia and their informal caregivers at home. In particular, our study aimed to (1) provide an overview of technologies that have been used and studied in the context of informal dementia care and (2) explore factors influencing the implementation of these technologies.MethodsFollowing an umbrella review design, five different databases were searched (PubMed, PsycINFO, Medline, Scopus, and Cochrane) for (systematic) reviews. Among 2205 reviews retrieved, 21 were included in our analysis based on our screening and selection procedure. A combination of deductive and inductive thematic analyses was performed, using the Nonadoption, Abandonment, Scale-Up, Spread, and Sustainability (NASSS) framework for organizing the findings.ResultsWe identified technologies designed to be used "by informal caregivers," "by people with dementia," and "with people with dementia." Within those groups, most of the represented technologies included, respectively: (i) devices for in-home monitoring of lifestyle, health, and safety; (ii) technologies for supporting memory, orientation, and day structure; and (iii) technologies to facilitate communication between the informal caregiver and person with dementia. Most of the identified factors influencing implementation related to the condition of dementia, characteristics of the technology, expected/perceived value of users, and characteristics of the informal caregiver. Considerably less information has been reported on factors related to the implementing organization and technology supplier, wider institutional and sociocultural context of policy and regulations, and continued adaptation of technology over time.ConclusionsOur study offers a comprehensive overview of eHealth technologies in the context of informal dementia care and contributes to gaining a better understanding of a broad range of factors influencing their implementation. Our results uncovered a knowledge gap regarding success factors for implementation related to the organizational and broader context and continuous adaptation over the long term. Although future research is needed, the current findings can help researchers and stakeholders in improving the development and implementation of eHealth technologies to support informal dementia care.

Project description:BACKGROUND:Dementia is a neurodegenerative chronic condition characterized by a progressive decline in a person's memory, thinking, learning skills, and the ability to perform activities of daily living. Previous research has indicated that there are many types of technology interventions available in the literature that have shown promising results in improving disease progression, disease management, and the well-being of people with dementia (PwD) and their informal caregiver, thus facilitating dementia care and living. Technology-driven home care interventions, such as Connected Health (CH), could offer a convenient and low-cost alternative to traditional home care, providing an informal caregiver with the support they may need at home while caring for a PwD, improving their physical and mental well-being. OBJECTIVE:This study aimed (1) to create a multidimensional profile for evaluating the well-being progression of the PwD-informal caregiver dyad for a year during their use of a CH platform, designed for monitoring PwD and supporting their informal caregivers at home, and (2) to conduct a long-term follow-up using the proposed well-being profile at different time-interval evaluations. METHODS:The PwD-informal caregiver well-being profile was created based on the World Health Organization International Classification of Functioning considering the following outcomes: functional status, cognitive status, and quality of life for the PwD and mental well-being, sleeping quality, and burden for the informal caregiver. Over a year, comprehensive assessments of these outcomes were conducted every 3 months to evaluate the well-being of PwD-informal caregivers, using international and standardized validated questionnaires. Participants' demographic information was analyzed using descriptive statistics and presented as means and SDs. A nonparametric Friedman test was used to analyze the outcome changes and the progression in the PwD-caregiver dyads and to determine if those changes were statistically significant. RESULTS:There were no significant changes in the well-being of PwD or their caregivers over the year of follow-up, with the majority of the PwD-caregiver dyads remaining stable. The only instances in which significant changes were observed were the functional status in the PwD and sleep quality in their caregivers. In each of these measures, post hoc pairwise comparisons did not indicate that the changes observed were related to the deployment of the CH platform. CONCLUSIONS:The follow-up of this population of PwD and their informal caregivers has shown that disease progression and physical and mental well-being do not change significantly during the time, being a slow and gradual process. The well-being profile created to analyze the potential impact of the CH platform on the PwD-informal caregiver dyad well-being, once validated, could be used as a future tool to conduct the same analyses with other CH technologies for this population. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID):RR2-10.2196/13280.

Project description:IntroductionAgeing in place, supported by formal home and community services and informal caregivers, is the most used long-term care option for people with dementia (PwD). Informal caregivers are inundated by their caregiving responsibilities and resultantly suffer consequences. Despite the multitude of clinical effectiveness studies on interventions that support informal caregivers, there is a paucity of information regarding their implementation process. This scoping review aims to identify the implementation strategies, implementation outcomes, and barriers and facilitators that impede or support the dissemination and uptake of interventions that support informal caregivers of PwD at home.Methods and analysisThis protocol is guided by the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) Protocols, and the scoping review will follow the systematic steps of the PRISMA-Extension for Scoping Reviews guideline. The search strategy will include publications produced from inception to 8 March 2021 and will be conducted in the search engines Embase, Medline (Ovid), Web of Science and Cochrane Central Register of Controlled Trials (Wiley), followed by a three-stage approach. First, title and abstracts will be screened by two independent reviewers. Second, full-text articles will also be screened by both reviewers and, in case of disagreement, by a third reviewer. The first two stages are based on a set of inclusion and exclusion criteria. Reference lists of the final included studies will also be checked for relevant articles. Data from the final included studies will be extracted and synthesised using the Expert Recommendations for Implementing Change compilation and Proctor's implementation outcomes to ensure homogenous and standardised reporting of implementation information.Ethics and disseminationThe review findings will be published in a peer-reviewed journal and disseminated at geriatric and implementation conferences to inform researchers, health service planners and practice professionals with an overview of the existing literature to guide them in the effective implementation of caregiver-focused interventions in dementia support.

Project description:BackgroundThe Internet of Things (IoT) has become integrated into everyday life, with devices becoming permanent fixtures in many homes. As countries face increasing pressure on their health care systems, smart home technologies have the potential to support population health through continuous behavioral monitoring.ObjectiveThis scoping review aims to provide insight into this evolving field of research by surveying the current technologies and applications for in-home health monitoring.MethodsPeer-reviewed papers from 2008 to 2021 related to smart home technologies for health care were extracted from 4 databases (PubMed, Scopus, ScienceDirect, and CINAHL); 49 papers met the inclusion criteria and were analyzed.ResultsMost of the studies were from Europe and North America. The largest proportion of the studies were proof of concept or pilot studies. Approximately 78% (38/49) of the studies used real human participants, most of whom were older females. Demographic data were often missing. Nearly 60% (29/49) of the studies reported on the health status of the participants. Results were primarily reported in engineering and technology journals. Almost 62% (30/49) of the studies used passive infrared sensors to report on motion detection where data were primarily binary. There were numerous data analysis, management, and machine learning techniques employed. The primary challenges reported by authors were differentiating between multiple participants in a single space, technology interoperability, and data security and privacy.ConclusionsThis scoping review synthesizes the current state of research on smart home technologies for health care. We were able to identify multiple trends and knowledge gaps-in particular, the lack of collaboration across disciplines. Technological development dominates over the human-centric part of the equation. During the preparation of this scoping review, we noted that the health care research papers lacked a concrete definition of a smart home, and based on the available evidence and the identified gaps, we propose a new definition for a smart home for health care. Smart home technology is growing rapidly, and interdisciplinary approaches will be needed to ensure integration into the health sector.

Project description:Introduction and purposeInformal caregivers of persons living with dementia have significant unmet information needs that, if met, would better equip them to provide effective care. Despite the existence of health information technologies, websites, resources, and organizations dedicated to dementia caregiving, caregivers continue to report unmet information needs. Caregivers' continued unmet information needs suggest a misalignment between information products, and caregivers' information behavior-how caregivers generate, acquire, manage, use, communicate, and seek information. Researchers have developed conceptual models for understanding caregivers' information behavior, but these models are limited in that they are task-oriented, and they assume that caregivers' information needs will be met if they engage in information behavior. To address these limitations, the present study sought to explore caregivers' information behavior as a sociotechnical-systems-based process.MethodsWe conduced semi-structured interviews with 30 self-identified caregivers to explore their daily experience of caregiving activities, including their information behavior. We applied a process-based conceptual framework that takes into account inputs, processes, outputs, and feedback mechanisms within a sociotechnical system to guide analysis. The process of interest was caregivers' information behavior as modeled by the information-seeking and communication model (ISCM). We conducted a deductive content analysis guided by the components of the ISCM. We then used team-based affinity diagramming to collapse and categorize the ISCM components into inputs, processes, outputs, and feedback.ResultsWe developed a conceptual model to depict caregivers' information behavior as a sociotechnical-systems-based process of inputs, processes, and outputs that feedback into the system. The conceptual model consisted of three inputs (i.e., information users, information providers, and information products), three information seeking and communication processes (i.e., information access, information interaction, and information assessment and processing), two outputs (i.e., utility and credibility), and feedback.Discussion and conclusionBuilding on and addressing the gaps in previous information behavior models, our conceptual framework advances the previous task-level understandings of caregivers' information behavior into a comprehensive feedback-driven, process-level perspective consisting of context-based inputs, information seeking and communication processes, outputs, and feedback. A sociotechnical-systems-based understanding of caregivers' information behavior allows for misalignments between information providers and products, and caregivers' information behavior not only to be illuminated, but systematically addressed.

Dataset Information

Factors Influencing the Adoption of Smart Health Technologies for People With Dementia and Their Informal Caregivers: Scoping Review and Design Framework.

Background

Objective

Methods

Results

Conclusions

Publications

Factors Influencing the Adoption of Smart Health Technologies for People With Dementia and Their Informal Caregivers: Scoping Review and Design Framework.

Similar Datasets

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