Factors Affecting Caregivers’ Acceptance of the Use of Wearable Devices by Patients With Dementia: An Extension of the Unified Theory of Acceptance and Use of Technology Model

Abstract

Purpose: This study aims to examine the factors affecting caregivers’ acceptance of the use of wearable devices by patients with dementia by extending the Unified Theory of Acceptance and Use of Technology (UTAUT) model with 2 additional constructs: resistance to change (RC) and technology anxiety (TA). Methods: A structured online questionnaire was developed and distributed to caregivers who have either dealt previously with or were currently taking care of patients with dementia in sub-Saharan Africa. The selection of countries for the study was purely based on the availability of caregivers of patients with dementia and their readiness to take part in the survey. Questionnaire data from 350 respondents were analyzed and the hypothesis tested using partial least squares based on structural equation modeling. Result: The results of the extended model show that social influence, effort expectancy, facilitating conditions, and behavioral intention (BI) all had P < .05, thus were statistically significant in explaining the perceived BI and actual use of health-care wearable devices among patients with dementia as reported by caregivers. However, P value for RC and TA was greater than .05, hence were insignificant.

A Study of the Adoption and Implementation of Enterprise Resource Planning (ERP): Identification of Moderators and Mediator

“…The present study has used a dominant view of the adoption and implementation of ERP through the usage of UTAUT in an open innovation context [49,50], via linking an outsider in and an insider out [45]. Despite earlier studies on adoption and implementation of technology used a number of theories such as the theory of planned behavior, the theory of reason action, technology acceptance model, diffusion of innovation, and learning theories, etc., they are seemed, now, that those have less capability in explaining the intention and the actual use of ERP [49,51].…”

“…The present study has used a dominant view of the adoption and implementation of ERP through the usage of UTAUT in an open innovation context [49,50], via linking an outsider in and an insider out [45]. Despite earlier studies on adoption and implementation of technology used a number of theories such as the theory of planned behavior, the theory of reason action, technology acceptance model, diffusion of innovation, and learning theories, etc., they are seemed, now, that those have less capability in explaining the intention and the actual use of ERP [49,51]. Keeping abreast of those changes with technology, buyers, and service providers in a boundary-less open innovation context, Venkatesh, Morris, Davis and Davis [41] and Venkatesh et al [52] advocated that an integrated theory replacing those fragmented theories (previously used eight key theories), which could better explain how human and society impact adoption and implementation of technology [44,47,53,54].…”

Attitudes Toward Technology and Use of Fall Alert Wearables in Caregiving: Survey Study

“…Wearables can be powered by microprocessors to send and receive data via cellular networks and the internet [5][6][7]. Our review of recent literature on technology and caregiving offered multiple examples of digital technology adoption by caregivers and care recipients in the realms of education, care recipient data collection, sensors and monitoring, clinical care delivery, and social support [4,6,[8][9][10][11][12]. While these studies [4,6,[8][9][10][11][12] document the broad array of categories of digital and technology development, limited information is available about factors influencing care recipients' technology adoption.…”

“…Of particular interest is the growing market for fall alert systems, which are intended to help older adults reduce fear of falling and stay independent by ensuring that help will be available in the event of a fall. There is now a plethora of medical alert systems with fall detection, and while there are market comparisons and a growing amount of literature on older adults' acceptance of technology, less is known about how caregivers' attitudes toward technology can impact care recipients' use of such technology [6,[8][9][10][11][12]16,17,19,20].…”

Wearables bei Demenzerkrankungen

“…Fraglich ist immer die Akzeptanz der "Modernen Technik" durch Patient und Caregiver, sowohl in Bezug auf generelle "Technik-Skepsis" der betroffenen Generation als auch in Bezug auf das "sich überwacht fühlen" durch den Patienten. Eine rezente Umfrage unter 350 Caregivern hat ergeben, dass der Einfluss des sozialen Umfeldes, der (finanzielle und zeitliche) Aufwand, die Erwartungshaltung an das Gerät sowie der niederschwellige Zugang mit der Akzeptanz assoziiert waren, während genereller Widerstand gegenüber Neuerungen oder Angst für neuer Technologie nicht signifikant mit Akzeptanz assoziiert waren [19]. Eine weitere Umfrage unter Senioren > 60a ergab ähnliche Ergebnisse, nämlich dass der erwartete Nutzen, der Zugang zum Gerät sowie die subjektive Einschätzung des Gesundheitszustandes positive Faktoren für Personen waren, solche Technologien selbst zu verwenden.…”