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The Context of Caring and Concern for Falling Differentiate Which Mobile Fall Technology Features Chinese Family Caregivers Find Most Important.

Shannon T MejíaTai-Te SuQingyi LanAjiang ZouAileen GriffinJacob J Sosonff
Published in: Journal of applied gerontology : the official journal of the Southern Gerontological Society (2021)
Falls are not only a leading cause of death and disability, but also a strain on the capacity for caregivers to provide care. This study examined how the context of caregiving relates to the importance of caregiver-defined mobile fall prevention feature sets. A sample of 266 family caregivers, recruited from a Chinese social media platform, reported care for an older adult and interest in mobile fall prevention technology features. Factor analysis identified three caregiver-defined feature sets: automatic fall response, digitized fall prevention tools, and social features. Multiple regression showed caregivers' concern about falling was the most robust predictor of a feature set's importance. Poisson regression revealed that caregiver concern and assistance with instrumental activities of daily living were associated with rating more features as important. Our findings suggest that caregivers are interested in mobile fall prevention technologies that support older adults' independence while also alleviating concerns about falling.
Keyphrases
  • palliative care
  • social media
  • machine learning
  • healthcare
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  • deep learning
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  • multiple sclerosis
  • quality improvement
  • health information
  • neural network
  • single cell