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Exploring factors affecting the acceptance of fall detection technology among older adults and their families: a content analysis.
Huang, Hsin-Hsiung; Chang, Ming-Hao; Chen, Peng-Ting; Lin, Chih-Lung; Sung, Pi-Shan; Chen, Chien-Hsu; Fan, Sheng-Yu.
Afiliação
  • Huang HH; Department of Biomedical Engineering, National Cheng Kung University, Tainan, Taiwan, ROC.
  • Chang MH; Department of Biomedical Engineering, National Cheng Kung University, Tainan, Taiwan, ROC.
  • Chen PT; Department of Biomedical Engineering, National Cheng Kung University, Tainan, Taiwan, ROC. chen@ncku.edu.tw.
  • Lin CL; Medical Device Innovation Center, National Cheng Kung University, No.138, Shengli Rd., North District, Tainan City, 704, Taiwan, ROC. chen@ncku.edu.tw.
  • Sung PS; Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan, ROC.
  • Chen CH; Department of Neurology, National Cheng Kung University Hospital, Tainan, Taiwan, ROC.
  • Fan SY; Department of Industrial Design, National Cheng Kung University, Tainan, Taiwan, ROC.
BMC Geriatr ; 24(1): 694, 2024 Aug 20.
Article em En | MEDLINE | ID: mdl-39164655
ABSTRACT

BACKGROUND:

This study conducted in-depth interviews to explore the factors that influence the adoption of fall detection technology among older adults and their families, providing a valuable evaluation framework for healthcare providers in the field of fall detection, with the ultimate goal of assisting older adults immediately and effectively when falls occur.

METHODS:

The method employed a qualitative approach, utilizing semi-structured interviews with 30 older adults and 29 families, focusing on their perspectives and expectations of fall detection technology. Purposive sampling ensured representation from older adults with conditions such as Parkinson's, dementia, and stroke.

RESULTS:

The results reveal key considerations influencing the adoption of fall-detection devices, including health factors, reliance on human care, personal comfort, awareness of market alternatives, attitude towards technology, financial concerns, and expectations for fall detection technology.

CONCLUSIONS:

This study identifies seven key factors influencing the adoption of fall detection technology among older adults and their families. The conclusion highlights the need to address these factors to encourage adoption, advocating for user-centered, safe, and affordable technology. This research provides valuable insights for the development of fall detection technology, aiming to enhance the safety of older adults and reduce the caregiving burden.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Acidentes por Quedas Limite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: BMC Geriatr Assunto da revista: GERIATRIA Ano de publicação: 2024 Tipo de documento: Article País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Acidentes por Quedas Limite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: BMC Geriatr Assunto da revista: GERIATRIA Ano de publicação: 2024 Tipo de documento: Article País de publicação: Reino Unido