scholarly journals Understanding Factors Influencing Elderly Diabetic Patients’ Continuance Intention to Use Digital Health Wearables: Extending the Technology Acceptance Model (TAM)

2020 ◽  
Vol 6 (3) ◽  
pp. 81
Author(s):  
Ashfaq Ahmad ◽  
Tareq Rasul ◽  
Anish Yousaf ◽  
Umer Zaman
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Digital Health ◽  
The Elderly ◽  
Developed Countries ◽  
Perceived Usefulness ◽  
Diabetic Patients ◽  
Intention To Use ◽  
Continuance Intention ◽  
Acceptance Model

Elderly diabetic patients in developed countries have been widely using digital health wearables for many years to manage their diabetes-related health data accurately. To encourage the increased adoption of digital health wearables among elderly diabetic patients in a developing country, Bangladesh, this study investigated the factors that influenced the existing elderly users’ continuance intention to use this technology. The Technology Acceptance Model (TAM) has been used here as a theoretical basis. A model using structural equation modelling was developed for the elderly diabetic patients’ continuance intention to use digital health wearables. Survey-based data were collected in Bangladesh from 223 diabetic patients aged sixty years and older. This study found that all six constructs, namely, perceived usefulness (β = 0.183), perceived ease of use (β = 0.165), perceived irreplaceability (β = 0.138), perceived credibility (β = 0.165), compatibility (β = 0.285) and social influence (β = 0.226) had a positive influence on elderly diabetic patients’ continuance intention to use digital health wearables. Along with the theoretical contributions, the findings of this study can be used by developers of digital health wearables, manufacturers, marketers and health practitioners in developing better strategies to increase the elderly diabetic patients’ continuance intention to use this technology.

Patient Portal Acceptance by the Elderly

2020 ◽  
pp. 67-90
Author(s):  
Karoly Bozan ◽  
Kevin R. Parker ◽  
Bill Davey
Keyword(s):  
Older People ◽  
Technology Acceptance ◽  
Social Power ◽  
Least Squares Method ◽  
The Elderly ◽  
Cognitive Effort ◽  
Patient Portal ◽  
Patient Portals ◽  
Use Of Technology ◽  
Likelihood Model

The motivating factors that influence patient portal acceptance among the elderly are not well understood. Using the social heuristic theory, the elaboration likelihood model, and the unified theory of acceptance and use of technology, this study proposes a model that examines the persuasive mechanisms for the elderly to use patient portals. An empirical study involving 117 subjects in the United States was used to test the proposed model. Using the partial least squares method, social power, and imitate-the-successful social heuristics were found to significantly influence patient portal acceptance among the elderly. These findings indicate that older people invest less effort cognitively elaborating when presented with technology acceptance decisions and accept influence from their higher status peers from their network. Imitate-the-majority heuristics and central route processing were not found to be significant, implying that older people are more inclined to take advice from sources, which they find credible and invest less cognitive effort in evaluating the complex phenomena.

scholarly journals Reference Framework for Measuring the Level of Technological Acceptance by the Elderly: A Case Study of Virtual Assistants

TecnoLógicas ◽  
2021 ◽  
Vol 24 (50) ◽  
pp. e1791
Author(s):  
Manuel Bolaños ◽  
Cesar Collazos ◽  
Francisco Gutiérrez
Keyword(s):  
Older Adults ◽  
Technology Acceptance ◽  
Social Environment ◽  
The Elderly ◽  
Daily Activities ◽  
User Requirements ◽  
Technological Systems ◽  
Work Related ◽  
Technology Products ◽  
Key Aspects

Elderly people often have problems to use technology. As a result, the existing diversity of systems and applications adapted to this kind of users is expanding, thus facilitating the communication with their social environment, and supporting their daily activities. The aim of this study was to identify the intention of a group of older adults in Pasto, Colombia, to use smart virtual assistants and the activities in which they think these devices would be useful. Considering the participants’ characteristics and in order to capture their feelings, thoughts, and experiences, we held focus groups to gather precise, clear, and simple information. The results obtained indicate that older adults can potentially use virtual assistants for their daily personal, work-related, and recreational activities. Nevertheless, motivation and technology acceptance are key aspects to ensure the usability of technological systems by this populational group, and user requirements should be well defined in order to identify the characteristics and functionalities that they expect to find in such technology products. Therefore, technology developed for the elderly must meet their essential expectations in order for them to accept and adopt it in their daily lives.Elderly people often have problems to use technology. As a result, the existing diversity of systems and applications adapted to this kind of users is expanding, thus facilitating the communication with their social environment, and supporting their daily activities. The aim of this study was to identify the intention of a group of older adults in Pasto, Colombia, to use smart virtual assistants and the activities in which they think these devices would be useful. Considering the participants’ characteristics and in order to capture their feelings, thoughts, and experiences, we held focus groups to gather precise, clear, and simple information. The results obtained indicate that older adults can potentially use virtual assistants for their daily personal, work-related, and recreational activities. Nevertheless, motivation and technology acceptance are key aspects to ensure the usability of technological systems by this populational group, and user requirements should be well defined in order to identify the characteristics and functionalities that they expect to find in such technology products. Therefore, technology developed for the elderly must meet their essential expectations in order for them to accept and adopt it in their daily lives.

scholarly journals User experiences and perceptions of health wearables: an exploratory study in Cambodia

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Marco Liverani ◽  
Por Ir ◽  
Virginia Wiseman ◽  
Pablo Perel
Keyword(s):  
Technology Acceptance ◽  
New Technology ◽  
Health Sector ◽  
The Elderly ◽  
Local Context ◽  
Battery Life ◽  
User Experiences ◽  
Middle Income ◽  
Exact Test ◽  
Health Technologies

Abstract Background In many low- and middle-income countries (LMICs), health system capacities to address the burden of non-communicable diseases (NCDs) are often inadequate. In these countries, wearable health technologies such as smartbands and smartwatches could be used as part of public health programmes to improve the monitoring, prevention, and control of NCDs. Considering this potential, the purpose of this study was to explore user experiences and perceptions of a health wearable in Cambodia. Methods Data collection involved a survey, conducted between November 2019 and January 2020, among different categories of participants (including hypertensive participants, non-hypertensive participants, postgraduate students, and civil servants). All participants were given a sample of a watch-type wearable and advised to use it day and night. One month after product delivery, we conducted a survey to explore their views and experiences. Results were analysed by using descriptive statistics and Chi square or Fisher's exact test to compare responses from urban and rural participants. Results A total of 156 adult participants completed the study. Technology acceptance was positive overall. 89.1% of the participants said they would continue using the watch and 76.9% of them would recommend it to either friends or relatives, while 94% said the device stimulated them to think more frequently about their health. However, challenges to technology adoption were also identified, including concerns with the accuracy and quality of the device and unfamiliarity with the concept of health self-monitoring, especially among the elderly. Short battery life and cost were also identified as potential barriers to continued use. Conclusions Health wearables are a promising new technology that could be used in Cambodia and in other LMICs to strengthen health sector responses to the challenges of NCDs. However, this technology should be carefully adapted to the local context and the needs of less resourced population groups. In addition, further studies should examine if adequate health sector support and infrastructure are in place to implement and sustain the technology.

scholarly journals Analysis of Smart Home Technology Acceptance and Preference for Elderly in Dubai, UAE

Designs ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 70
Author(s):  
Mohammad Arar ◽  
Chuloh Jung ◽  
Jihad Awad ◽  
Afaq Hyder Chohan
Keyword(s):  
Technology Acceptance ◽  
United Arab Emirates ◽  
Smart Home ◽  
Environmental Control ◽  
Rapid Development ◽  
The Elderly ◽  
Living Room ◽  
Home Technology ◽  
Smart Home Technology ◽  
Elderly Users

The elderly are the most predicted users for smart home technology in the United Arab Emirates and the population over 65 is expected to increase to 24.3% by 2030. Despite the rapid development of smart home technology, research has been mainly focused on technology development. To encourage conservative elderly users, however, smart home technology should be implemented for UAE elderly users to accept and integrate it into their daily lives. The objective of this paper is to analyze the preferences and needs of smart home technologies to understand the behaviors of UAE elderly users, and the factors affecting the acceptance of technology. As a methodology, a survey and interview were conducted for 110 people in their 40s and 60s and a total of 105 valid survey responses were collected and used as data for frequency, mean, cross-analysis, independent sample t-test, one-way variance analysis, and multiple regression analysis with IBM SPSS statistics 27. The results showed that 67.0% of UAE elderly users have chronic diseases such as high blood pressure (16.2%), heart disease (3.8%), diabetes (32.4%), or arthritis (10.5%). Therefore, smart home technology for health management is inevitable to improve overall lifestyles. It was statistically proven that UAE elderly users want automatic fall detection in the living room (39.0%) and bedroom (25.7%). Lifestyle monitoring in living room (44.7%) and bedroom (18.1%); the elderly preferred living room most for daily life assistance (36.2%), environmental control (50.5%), health and biometric monitoring (49.5%), and video conferencing (82.9%). In the case of sensors, elderly preferred the switch at the entrance (36.2%), and motion detecting sensors (42.9%), video cameras (56.2%), and voice recognition (50.5%) sensors in the living room. However, UAE elderly users do not think smart home technology can protect their privacy. It is found that age group and computer technology affinity are the most influential variables and UAE elderly users have an anxiety about technology, which influenced the acceptance of smart home technology.

scholarly journals Evaluation Method of Mobile Health Apps for the Elderly

2020 ◽  
pp. 388-394 ◽  
Author(s):  
Nur Ani
Keyword(s):  
Technology Acceptance ◽  
Mobile Health ◽  
Evaluation Method ◽  
The Elderly ◽  
Literature Study ◽  
Health Apps ◽  
System Usability Scale ◽  
Mobile Health Apps ◽  
Research Goal ◽  
Acceptance Model

Mobile health apps usually have a user interface that is difficult for elderly users to understand. With the increase in the number of elder users using applications on mobile phone, research on this area is important to do. This research aim is to present comprehensive review of mobile application evaluation for the elderly. The research methodology adapted PRISMA method to find and review relevance research articles in order to reach research goal. Based on literature study, we found three methods or models that have been applied for elderly user usability evaluation, including usability heuristics, system usability scale and technology acceptance model.

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