Medication adherence, older adults, digital health, medication management, assistive system
Conditions
Interventions
Group 1: Module B
Module B consists of a usability test of the medication assistant in a controlled environment (e.g., at the facilities of the practice partner) to evaluate usability, acceptance, and
2. System Usability Scale (SUS)
3. Trust in Automation Scale (TiA)
The usability test is expected to take approximately 1–1.5 hours per participant. Up to 15 participants will be recruited for this phase of the study.
For informat
Sponsors
Medizinische Fakultät der Martin-Luther-Universität Halle-Wittenberg
Eligibility
Sex/Gender
All
Age
65 Years to No maximum
Inclusion criteria
Inclusion criteria: For Module B: • Setting: either community-dwelling or geriatric patients receiving outpatient care • Medication: Long-term therapy (= 3 months) involving = 5 prescription medications (tablets/capsules) • Autonomy in medication administration: Patients take their medication independently, without regular assistance from nursing staff or family members • Data collection: Consent to audio recording • Concurrent participation: No participation in “AvatarMediKI – Avatar-assisted medication administration with AI-based intake monitoring – Perspectives and challenges (Module A)” or home-based testing (Module C) For Module C: • Setting: either living independently (community-dwelling) or geriatric patients receiving outpatient care • Medication: Long-term therapy = 3 months with =5 prescription medications (tablets/capsules) • Autonomy in medication intake: Taking medication independently, without regular support from nursing staff or relatives • Data collection: Consent to audio recording • Technology in the home: Consent to the installation of the demonstrator in the living environment • Internet: Consent to the setup/use of internet access (existing or available) • Concurrent participation: No participation in the interview study “AvatarMediKI – Avatar-assisted medication administration with AI-based intake monitoring – Perspectives and challenges” (Modules A/B)
Exclusion criteria
Exclusion criteria: For Modules B and C: • Capacity to consent and reflect: dementia, acute delirium, or a comparable impairment of the capacity to consent and reflect
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Assessment of the feasibility and acceptability of a digital, AI-powered medication assistant designed to assist older adults with medication adherence in two usage contexts: 1. a controlled setting (e.g., a laboratory setting) and 2. a home or assisted living environment | — |
Secondary
| Measure | Time frame |
|---|---|
| • Description of the user experience (usability), the comprehensibility of key functions, and the perceived usefulness from the users’ perspective. • Identification of barriers to use, comprehension difficulties, and critical interaction points (including safety-related operational errors or misunderstandings) when using the system. • Investigation of which system functions, communication strategies, and design features are perceived by older users as supportive or hindering. • Assessment of the medication assistant’s suitability for everyday use in a home or assisted living environment (including integration into routines, effort/burden, and support requirements). • Derivation of prioritized requirements and optimization potential for the technical and content-related further development of the medication assistant. Exploratory Objectives • To gain in-depth qualitative insights into the expectations, usage habits, and individual approaches of older adults toward digital health applications. • To assess the suitability of the medication assistant as a basis for further implementation and evaluation in healthcare settings. | — |
Countries
Germany
Contacts
Public ContactJennifer Schäning
Universitätsklinik und Poliklinik für Altersmedizin, Universitätsklinik Halle (Saale)
Outcome results
None listed