scholarly journals A Personalized Health Monitoring System for Community-Dwelling Elderly People in Hong Kong: Design, Implementation, and Evaluation Study (Preprint)

2020 ◽  
Author(s):  
Hailiang Wang ◽  
Yang Zhao ◽  
Lisha Yu ◽  
Jiaxing Liu ◽  
Inez Maria Zwetsloot ◽  
...  
Keyword(s):  
Older Adults ◽  
Elderly Care ◽  
Vital Signs ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Health Monitoring System ◽  
System P ◽  
Exploratory Data ◽  
Health Deterioration

BACKGROUND Telehealth is an effective means to assist existing health care systems, particularly for the current aging society. However, most extant telehealth systems employ individual data sources by offline data processing, which may not recognize health deterioration in a timely way. OBJECTIVE Our study objective was two-fold: to design and implement an integrated, personalized telehealth system on a community-based level; and to evaluate the system from the perspective of user acceptance. METHODS The system was designed to capture and record older adults’ health-related information (eg, daily activities, continuous vital signs, and gait behaviors) through multiple measuring tools. State-of-the-art data mining techniques can be integrated to detect statistically significant changes in daily records, based on which a decision support system could emit warnings to older adults, their family members, and their caregivers for appropriate interventions to prevent further health deterioration. A total of 45 older adults recruited from 3 elderly care centers in Hong Kong were instructed to use the system for 3 months. Exploratory data analysis was conducted to summarize the collected datasets. For system evaluation, we used a customized acceptance questionnaire to examine users’ attitudes, self-efficacy, perceived usefulness, perceived ease of use, and behavioral intention on the system. RESULTS A total of 179 follow-up sessions were conducted in the 3 elderly care centers. The results of exploratory data analysis showed some significant differences in the participants’ daily records and vital signs (eg, steps, body temperature, and systolic blood pressure) among the 3 centers. The participants perceived that using the system is a good idea (ie, attitude: mean 5.67, SD 1.06), comfortable (ie, self-efficacy: mean 4.92, SD 1.11), useful to improve their health (ie, perceived usefulness: mean 4.99, SD 0.91), and easy to use (ie, perceived ease of use: mean 4.99, SD 1.00). In general, the participants showed a positive intention to use the first version of our personalized telehealth system in their future health management (ie, behavioral intention: mean 4.45, SD 1.78). CONCLUSIONS The proposed health monitoring system provides an example design for monitoring older adults’ health status based on multiple data sources, which can help develop reliable and accurate predictive analytics. The results can serve as a guideline for researchers and stakeholders (eg, policymakers, elderly care centers, and health care providers) who provide care for older adults through such a telehealth system.

scholarly journals A Personalized Health Monitoring System for Community-Dwelling Elderly People in Hong Kong: Design, Implementation, and Evaluation Study

10.2196/19223 ◽  
2020 ◽  
Vol 22 (9) ◽  
pp. e19223
Author(s):  
Hailiang Wang ◽  
Yang Zhao ◽  
Lisha Yu ◽  
Jiaxing Liu ◽  
Inez Maria Zwetsloot ◽  
...  
Keyword(s):  
Older Adults ◽  
Behavioral Intention ◽  
Elderly Care ◽  
Vital Signs ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Health Monitoring System ◽  
Exploratory Data ◽  
Health Deterioration

Background Telehealth is an effective means to assist existing health care systems, particularly for the current aging society. However, most extant telehealth systems employ individual data sources by offline data processing, which may not recognize health deterioration in a timely way. Objective Our study objective was two-fold: to design and implement an integrated, personalized telehealth system on a community-based level; and to evaluate the system from the perspective of user acceptance. Methods The system was designed to capture and record older adults’ health-related information (eg, daily activities, continuous vital signs, and gait behaviors) through multiple measuring tools. State-of-the-art data mining techniques can be integrated to detect statistically significant changes in daily records, based on which a decision support system could emit warnings to older adults, their family members, and their caregivers for appropriate interventions to prevent further health deterioration. A total of 45 older adults recruited from 3 elderly care centers in Hong Kong were instructed to use the system for 3 months. Exploratory data analysis was conducted to summarize the collected datasets. For system evaluation, we used a customized acceptance questionnaire to examine users’ attitudes, self-efficacy, perceived usefulness, perceived ease of use, and behavioral intention on the system. Results A total of 179 follow-up sessions were conducted in the 3 elderly care centers. The results of exploratory data analysis showed some significant differences in the participants’ daily records and vital signs (eg, steps, body temperature, and systolic blood pressure) among the 3 centers. The participants perceived that using the system is a good idea (ie, attitude: mean 5.67, SD 1.06), comfortable (ie, self-efficacy: mean 4.92, SD 1.11), useful to improve their health (ie, perceived usefulness: mean 4.99, SD 0.91), and easy to use (ie, perceived ease of use: mean 4.99, SD 1.00). In general, the participants showed a positive intention to use the first version of our personalized telehealth system in their future health management (ie, behavioral intention: mean 4.45, SD 1.78). Conclusions The proposed health monitoring system provides an example design for monitoring older adults’ health status based on multiple data sources, which can help develop reliable and accurate predictive analytics. The results can serve as a guideline for researchers and stakeholders (eg, policymakers, elderly care centers, and health care providers) who provide care for older adults through such a telehealth system.

scholarly journals Explaining the Use of Social Network Sites as Seen by Older Adults: The Enjoyment Component of a Hedonic Information System

2019 ◽  
Vol 16 (10) ◽  
pp. 1673 ◽  
Author(s):  
Patricio Ramírez-Correa ◽  
Elizabeth E. Grandón ◽  
Muriel Ramírez-Santana ◽  
Leonard Belmar Órdenes
Keyword(s):  
Older Adults ◽  
Social Network ◽  
Explanatory Power ◽  
Social Network Sites ◽  
Theoretical Explanation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Cross Sectional ◽  
Perceived Enjoyment

Previous studies suggest that older adults are living increasingly alone and without the company of their close relatives, which cause them depression problems and a detriment to their health and general wellbeing. The use of social network sites (SNS) allows them to reduce their isolation, improve their social participation, and increase their autonomy. Although the adoption of various information technologies by older adults has been studied, some assumptions still predominate, for example, that older adults use SNS only for utilitarian purposes. However, considering SNS as hedonic information systems, and in order to extend the theoretical explanation of the intention to use hedonic systems to their actual use, this study aims to determine the influence of perceived enjoyment, perceived usefulness, and perceived ease of use on the use of SNS by elders in Concepción, Chile. Two hundred fifty-three older adults participated in the cross-sectional study. The results indicate that perceived ease of use is the variable that has the greatest total effect in explaining the use of SNS and that by adding the perceived enjoyment construct, the explanatory power of the model increases significantly. Therefore, advancement in user acceptance models, especially in the use of SNS by elders, can be made by focusing on the type of system, hedonic or utilitarian.

Factors Influencing Intention to Technological Use in Older Adults. The TAM Model Aplication

2021 ◽  
pp. 016402752110637
Author(s):  
Antonio V. Martín-García ◽  
Rosa Redolat ◽  
Sacramento Pinazo-Hernandis
Keyword(s):  
Older Adults ◽  
Digital Technology ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Functional Adaptation ◽  
Perceived Ease Of Use ◽  
Tam Model ◽  
Main Determinants

The use of digital technology by older adults has improved in recent years in response to the need for their functional adaptation to an increasingly technological social context. Understanding this type of technological adaptation has recently become an important field of inquiry in both social and gerontological studies. Working within this framework, the aim of this study is to identify the main determinants that influence the intention of older people to use digital technology in their daily lives, using the Technological Acceptance Model. A study was carried out with the participation of 1155 people over 65 years of age in Spain. Confirmatory Factor Analysis and structural equation models (SEM) were performed. The results show that the TAM is a useful model to explain the intention of older adults to use Digital Technology, showing a high predictive power, highlighting Perceived Usefulness and Perceived Ease of Use as the main predictor variables.

scholarly journals A Fall Risk mHealth App for Older Adults: Development and Usability Study (Preprint)

2018 ◽  
Author(s):  
Katherine L Hsieh ◽  
Jason T Fanning ◽  
Wendy A Rogers ◽  
Tyler A Wood ◽  
Jacob J Sosnoff
Keyword(s):  
Older Adults ◽  
Fall Risk ◽  
Evaluation Process ◽  
Mobile App ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Risk Screening ◽  
Age Related ◽  
Fall Risk Screening

BACKGROUND Falls are the leading cause of injury-related death in older adults. Due to various constraints, objective fall risk screening is seldom performed in clinical settings. Smartphones offer a high potential to provide fall risk screening for older adults in home settings. However, there is limited understanding of whether smartphone technology for falls screening is usable by older adults who present age-related changes in perceptual, cognitive, and motor capabilities. OBJECTIVE The aims of this study were to develop a fall risk mobile health (mHealth) app and to determine the usability of the fall risk app in healthy, older adults. METHODS A fall risk app was developed that consists of a health history questionnaire and 5 progressively challenging mobility tasks to measure individual fall risk. An iterative design-evaluation process of semistructured interviews was performed to determine the usability of the app on a smartphone and tablet. Participants also completed a Systematic Usability Scale (SUS). In the first round of interviews, 6 older adults participated, and in the second round, 5 older adults participated. Interviews were videotaped and transcribed, and the data were coded to create themes. Average SUS scores were calculated for the smartphone and tablet. RESULTS There were 2 themes identified from the first round of interviews, related to perceived ease of use and perceived usefulness. While instructions for the balance tasks were difficult to understand, participants found it beneficial to learn about their risk for falls, found the app easy to follow, and reported confidence in using the app on their own. Modifications were made to the app, and following the second round of interviews, participants reported high ease of use and usefulness in learning about their risk of falling. Few differences were reported between using a smartphone or tablet. Average SUS scores ranged from 79 to 84. CONCLUSIONS Our fall risk app was found to be highly usable by older adults as reported from interviews and high scores on the SUS. When designing a mHealth app for older adults, developers should include clear and simple instructions and preventative strategies to improve health. Furthermore, if the design accommodates for age-related sensory changes, smartphones can be as effective as tablets. A mobile app to assess fall risk has the potential to be used in home settings by older adults.

scholarly journals 116 Knowing what Older Adults Want: A Soft Service Robot in Object Retrieval Tasks

2019 ◽  
Vol 48 (Supplement_4) ◽  
pp. iv28-iv33
Author(s):  
Loong Yi Lee ◽  
Ismaiil S Hossen ◽  
Omar Ali Syadiqeen ◽  
Pei-Lee Teh ◽  
Chee Pin Tan ◽  
...  
Keyword(s):  
Older Adults ◽  
Technology Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Service Robots ◽  
Service Robot ◽  
P Value ◽  
Perceived Ease Of Use ◽  
Object Retrieval ◽  
Ageing Society

Abstract Introduction An ageing society in this period of technological development may benefit from having service robots assist them in daily tasks. To that end, service robots that are equipped with soft grippers have the potential to handle the unstructured nature of objects such as eye-glasses and cutlery at homes. Drawing from Technology Acceptance Model, this paper aims to analyse technology adoption of a “soft service robot” for object retrieval tasks among older adults. Method A video demonstrating the operational functions of an in-house developed soft service robot was shown to 30 participants aged 60 and above. The video shows that the soft service robot can be remotely controlled through the internet to move around and pick up various household objects delicately. The soft service robot also enables users to interact with another individual through an integrated tablet. Thirty participants completed a survey measuring perceived ease of use, perceived usefulness, attitude towards the soft service robot and behavioural intention using seven-point Likert scales. Multiple regression analysis was performed to test the hypothesized model. Results Our study showed that the behavioral intention of older adults was jointly determined by the perceived usefulness (β=0.401; p-value< 0.01) and the attitude of the older adults towards the soft service robot (β=0.530; p-value<0.01). Interestingly, this study found a non-significant perceived ease of use-intention relationship (β=-0.167; p-value>0.05) in the model. Conclusion Our findings indicated that making a soft service robot easier-to-use has little or no impact on the formation of intentions. Essentially, a soft service robot that is perceived to be useful will be accepted by older adults. From a practical standpoint, it is of significant importance for service robotics designer and developers to build soft service robot with useful functions to enhance greater adoption of such technology among older adults.

scholarly journals Determinants of Intention to Use Digital Technology for Older Adults by Environmental Dimensions

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 258-258
Author(s):  
Sangyoon Han ◽  
Seok In Nam
Keyword(s):  
Older Adults ◽  
Technology Acceptance ◽  
Digital Technology ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Digital Inequality

Abstract Due to the COVID-19 pandemic, it is common to hear news of older adults being socially isolated due to difficulties in purchasing or accessing online services and in interacting with family or friends through video calling apps. Despite an increasing ease of access to digital devices, such access far from universal. Thus, digital inequality has become a serious problem for older adults. To understand why digital inequality issues are so relevant for older adults, we must understand older adults' entire life contexts and the potential of digital technologies in their lives. With these understandings, the purpose of this study was to explore the technology acceptance process and identify key precursors to acceptance of digital technology using the Technology Acceptance Model (TAM) 3 as a framework. This study used data from the 2018 Digital Divide Survey of the Ministry of Science and ICT. A total of 1,662 older adults (aged 55+) were analyzed using structural equation modeling with bootstrap sampling. Model fit indices (CFI = .928; SRMR = .074; RMSEA = .044) suggested an acceptable fit. Results indicated that two environmental dimensions, personal environment (self-efficacy and value recognition) and social environment (social norms and social support systems), had a significant impact on the intention to use technology both directly and indirectly. Furthermore, perceived usefulness and perceived ease of use mediated between environmental domains and the intention. This study indicates that providing appropriate digital support for older adults is important to achieve greater digital inclusion.

scholarly journals Acceptance of a Virtual Reality Headset Designed for Fall Prevention in Older Adults: Questionnaire Study

10.2196/20691 ◽  
2020 ◽  
Vol 22 (12) ◽  
pp. e20691
Author(s):  
Nicolas Mascret ◽  
Lisa Delbes ◽  
Amélie Voron ◽  
Jean-Jacques Temprado ◽  
Gilles Montagne
Keyword(s):  
Older Adults ◽  
Virtual Reality ◽  
Self Efficacy ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intervention Programs ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Perceived Enjoyment ◽  
Avoidance Goals

Background Falls are a common phenomenon among people aged 65 and older and affect older adults’ health, quality of life, and autonomy. Technology-based intervention programs are designed to prevent the occurrence of falls and their effectiveness often surpasses that of more conventional programs. However, to be effective, these programs must first be accepted by seniors. Objective Based on the technology acceptance model, this study aimed to examine the acceptance among older adults before a first use of a virtual reality headset (VRH) used in an intervention program designed to prevent falls. Methods A sample of 271 French older adults (mean age 73.69 years, SD 6.37 years) voluntarily and anonymously filled out a questionnaire containing the focal constructs (perceived usefulness, perceived enjoyment, perceived ease of use, intention to use, fall-related self-efficacy, and self-avoidance goals) adapted to the VRH, which was designed to prevent falls. Results The results of the structural equation modeling analysis showed that intention to use the VRH was positively predicted by perceived usefulness, perceived enjoyment, and perceived ease of use. Perceived usefulness of the VRH was also negatively predicted by fall-related self-efficacy (ie, the perceived level of confidence of an individual when performing daily activities without falling) and positively predicted by self-avoidance goals (ie, participating in a physical activity to avoid physical regression). Conclusions A better understanding of the initial acceptance among older adults of this VRH is the first step to involving older adults in intervention programs designed to prevent falls using this kind of device.

scholarly journals Intention to use Medical Apps Among Older Adults in the Netherlands: Cross-Sectional Study

10.2196/18080 ◽  
2020 ◽  
Vol 22 (9) ◽  
pp. e18080
Author(s):  
Marjan Askari ◽  
Nicky Sabine Klaver ◽  
Thimon Johannes van Gestel ◽  
Joris van de Klundert
Keyword(s):  
Older Adults ◽  
Logistic Regression ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Service Availability ◽  
Intention To Use ◽  
Sense Of Control ◽  
Perceived Ease Of Use ◽  
Medical Apps ◽  
Mobile Medical Apps

Background The increasing health service demand driven by the aging of the global population calls for the development of modes of health service delivery that are less human resource–intensive. Electronic health (eHealth) and medical apps are expected to play an important role in this development. Although evidence shows mobile medical apps might be effective in improving the care, self-management, self-efficacy, health-related behavior, and medication adherence of older adults, little is known about older adults’ intention to use these technologies when needed, or the factors influencing this intention. Objective The objective of this study was to investigate the relationship of technology acceptance factors and intention to use mobile medical apps among community-dwelling older adults. Methods Data was collected using questionnaires. The factors selected from the literature have been validated using Cronbach α and tested for significance using logistic regressions. Results Almost half (49.7%) of the included older adults reported no intention to use medical apps. Adjusted logistic regression analysis per factor showed that the factors Attitude toward use (odds ratio [OR] 8.50), Perceived usefulness (OR 5.25), Perceived ease of use (OR 4.22), Service availability (OR 3.46), Sense of control (OR 3.40), Self-perceived effectiveness (OR 2.69), Facilities (OR 2.45), Personal innovativeness (OR 2.08), Social relationships (OR 1.79), Subjective norm (OR 1.48), and Feelings of anxiety (OR 0.62) significantly influenced the intention to use mobile medical apps among older adults, whereas the factor Finance (OR 0.98) did not. When considered together, a controlled multivariate logistic regression yielded high explained variances of 0.542 (Cox-Snell R2) and 0.728 (Nagelkerke R2). Conclusions The high odds ratios and explained variance indicate that the factors associated with the intention to use medical apps are largely understood and the most important factors have been identified. To advance the evidence base, experimental controlled research should investigate the causality between the factors, intention to use, and actual use. For this purpose, our evidence suggests that policies designed to improve Attitude toward use appear most effective, followed by policies addressing Perceived usefulness, Perceived ease of use, Service availability, and Sense of control.

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