A Technology-Based Intervention to Support Older Adults in Living Independently: Protocol for a Cross-National Feasibility Pilot.
Vera StaraMargherita RampioniAdrian Alexandru MoșoiDominic Mircea KristálySorin-Aurel MoraruLucia PaciaroniSusy PaoliniAlessandra RaccichiniElisa FeliciLorena RossiCristian VizitiuAlexandru NistorescuMihaela MarinGabriella TónayAndrás TóthTamás PilissyGábor SzabóPublished in: International journal of environmental research and public health (2022)
Innovative technologies can support older adults with or without disabilities, allowing them to live independently in their environment whilst monitoring their health and safety conditions and thereby reducing the significant burden on caregivers, whether family or professional. This paper discusses the design of a study protocol to evaluate the acceptance, usability, and efficiency of the SAVE system, a custom-developed information technology-based elderly care system. The study will involve older adults (aged 65 or older), professional and lay caregivers, and care service decision-makers representing all types of users in a care service scenario. The SAVE environmental sensors, smartwatches, smartphones, and Web service application will be evaluated in people's homes situated in Romania, Italy, and Hungary with a total of 165 users of the three types (cares, elderly, and admin). The study design follows the mixed method approach, using standardized tests and questionnaires with open-ended questions and logging all the data for evaluation. The trial is registered to the platform ClinicalTrials.gov with the registration number NCT05626556. This protocol not only guides the participating countries but can be a feasibility protocol suitable for evaluating the usability and quality of similar systems.
Keyphrases
- healthcare
- randomized controlled trial
- palliative care
- study protocol
- quality improvement
- mental health
- physical activity
- health information
- electronic health record
- middle aged
- clinical trial
- public health
- pain management
- affordable care act
- deep learning
- open label
- single cell
- machine learning
- phase iii
- artificial intelligence
- health insurance
- human health
- phase ii