Methodological Review: The Technology Acceptance Model: Its past and its future in health care
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TLDR
Findings show that TAM predicts a substantial portion of the use or acceptance of health IT, but that the theory may benefit from several additions and modifications.About:
This article is published in Journal of Biomedical Informatics.The article was published on 2010-02-01 and is currently open access. It has received 1766 citations till now. The article focuses on the topics: Technology acceptance model & Health care.read more
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Sensitivity and false alarm rate of a fall sensor in long-term fall detection in the elderly
TL;DR: Evaluating the long-term fall detection sensitivity and false alarm rate of a fall detection prototype in real-life use suggests that automatic accelerometric fall detection systems might offer a tool for improving safety among older people.
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The impact of eHealth on the quality and safety of health care: a systematic overview.
Ashly D. Black,Josip Car,Claudia Pagliari,Chantelle Anandan,Kathrin Cresswell,Tomislav Bokun,Brian McKinstry,Rob Procter,Azeem Majeed,Aziz Sheikh +9 more
TL;DR: The findings of their systematic overview that assessed the impact of eHealth solutions on the quality and safety of health care are reported.
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Factors influencing acceptance of technology for aging in place: A systematic review
Sebastiaan Theodorus Michaël Peek,Sebastiaan Theodorus Michaël Peek,Eveline Wouters,Joost van Hoof,Katrien Luijkx,Hennie Boeije,Hubertus J. M. Vrijhoef,Hubertus J. M. Vrijhoef +7 more
TL;DR: In this article, the authors provide an overview of factors influencing the acceptance of electronic technologies that support aging in place by community-dwelling older adults, including concerns regarding technology, high cost, privacy implications and usability factors; expected benefits of technology (e.g., increased safety and perceived usefulness); need for technology, perceived need and subjective health status); alternatives to technology; social influence, influence of family, friends and professional caregivers; and characteristics of older adults.
Factors influencing acceptance of technology for aging in place
Hubertus J. M. Vrijhoef,Sebastiaan Theodorus Michaël Peek,Joost van Hoof,Katrien Luijkx,Hennie Boeije,Eveline Wouters +5 more
TL;DR: Post-implementation research on technology acceptance by community-dwelling older adults is scarce and most of the factors in this review have not been tested by using quantitative methods, so further research is needed to determine if and how the factors are interrelated, and how they relate to existing models of technology acceptance.
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A new sociotechnical model for studying health information technology in complex adaptive healthcare systems
Dean F. Sittig,Hardeep Singh +1 more
TL;DR: An eight-dimensional model specifically designed to address the sociotechnical challenges involved in design, development, implementation, use and evaluation of HIT within complex adaptive healthcare systems is introduced.
References
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Perceived Usefulness, Perceived Ease of Use, and User
TL;DR: Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage.
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Perceived usefulness, perceived ease of use, and user acceptance of information technology
TL;DR: In this article, the authors developed and validated new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance.
Book
Diffusion of Innovations
TL;DR: A history of diffusion research can be found in this paper, where the authors present a glossary of developments in the field of Diffusion research and discuss the consequences of these developments.
Book
Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research
Martin Fishbein,Icek Ajzen +1 more
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User acceptance of information technology: toward a unified view
TL;DR: The Unified Theory of Acceptance and Use of Technology (UTAUT) as mentioned in this paper is a unified model that integrates elements across the eight models, and empirically validate the unified model.