Publications by authors named "E Rovini"

The successful introduction of medical devices (MDs) in real-world settings hinges on designing service processes that cater to stakeholders' needs. While human-centered design (HCD) approaches have been widely applied to service process innovation, the literature lacks a methodology that leverages MDs' key features to design service processes that meet stakeholders' needs. This study aims to fill this gap by developing a framework for the HCD of service processes enabled by MDs.

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Article Synopsis
  • The study explores the impact of technology on reducing loneliness and improving socialization among older adults, emphasizing its potential to promote healthy aging.
  • Researchers evaluated a technology-based socialization service over 6 months, assessing usability and acceptability among older adults and their caregivers in Italy.
  • Results indicated that older adults experienced lower usability and higher anxiety regarding technology compared to their informal and formal caregivers, highlighting the need for better support and training.
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Physical therapy is strongly recommended for patients with neurological disorders. Tai Chi-based treatments seem to improve physical functions like gait speed and balance. However, assessments after treatment rely on semi-quantitative clinical scales affected by subjectivity with controversial results.

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50% of older adults over 60 years old are experiencing social isolation. Assistive technology can provide solutions that promote the connection with their families and other stakeholders. In this context, this paper presents a pilot study of a socialization service with 3 functions tested by 10 older adults and 10 informal caregivers.

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Objective: This study investigates the possibility of adopting motor and cognitive dual-task (MCDT) approaches to identify subjects with mild cognitive impairment (MCI) and subjective cognitive impairment (SCI).

Methods: The upper and lower motor performances of 44 older adults were assessed using the SensHand and SensFoot wearable system during three MCDTs: forefinger tapping (FTAP), toe-tapping heel pin (TTHP), and walking 10 m (GAIT). We developed five pooled indices (PIs) based on these MCDTs, and we included them, along with demographic data (age) and clinical scores (Frontal Assessment Battery (FAB) scores), in five logistic regression models.

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