Título: | READINESS AND ACCEPTANCE OF HEALTHCARE TECHNOLOGIES: WEARABLE DEVICES | ||||||||||||
Autor: |
JOSE EDUARDO DE MOURA CASTRO ZACOUR |
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Colaborador(es): |
JORGE BRANTES FERREIRA - Orientador |
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Catalogação: | 12/MAI/2022 | Língua(s): | PORTUGUESE - BRAZIL |
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Tipo: | TEXT | Subtipo: | THESIS | ||||||||||
Notas: |
[pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio. [en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio. |
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Referência(s): |
[pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=58971&idi=1 [en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=58971&idi=2 |
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DOI: | https://doi.org/10.17771/PUCRio.acad.58971 | ||||||||||||
Resumo: | |||||||||||||
Wearable health devices, as a technological tool, may contribute to the
diagnosis and treatment of diseases, besides allowing a remote monitoring of
patients and optimizing the use of resources in the health industry. This study
proposes an integrative model of technology acceptance to assess the determining
factors for the adoption of wearable health devices by users, aligning constructs
from the technology acceptance model with other constructs, such as technological
readiness, assurance and self-efficacy. The data obtained from the survey
questionnaires of 424 consumers, which were analyzed through structural equation
modelling, indicate significant relationships between the evaluated constructs.
Particular relevance was observed in the effects of perceived usefulness, preceded
by assurance and technological readiness, on attitude and intention to use wearable
health devices. Therefore, the results of this research suggest that the proposed
model represents an advance in the understanding of the factors that influence the
general attitude of the population to adopt the use of the technology of wearable
health devices.
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