Assistive devices could promote independent living and support the active and healthy aging of an older population; however, several factors can badly influence the long-term use of new technologies. In this context, this paper presents a two-step methodology called “pre-validation” that aims to identify the factors that can bias the use of new services, thus minimizing the risk of an unsuccessful longer trial. The proposed pre-validation methodology is composed of two main phases that aim to assess the usability and the reliability of the technology assessed in a laboratory environment and the usability, acceptability, user experience, and reliability of the technology in real environments. The tested services include the socialization scenario, in which older adults are better connected to the community via technological solutions (i.e., socialization applications), and the monitoring scenario, which allows for the introduction of timely interventions (technologies involved include environmental monitoring sensors, a telepresence robot, wearable sensors, and a personalized dashboard). The obtained results underline an acceptable usability level (average System Usability Scale score > 65) for the tested technologies (i.e., socialization applications and a telepresence robot). Phase Two also underlines the good acceptability, user experience, and usability of the tested services. The statistical analysis underlines a correlation between the stress related to the use of technology, digital skills, and intention of use, among other factors. Qualitative feedback also remarks on a correlation between older adults with low digital skills and an anxiety about using technology. Positive correlation indexes were highlighted between the trust and usability scores. Eventually, future long-term trials with assistive technology should rely on motivated caregivers, be founded on a strong recruitment process, and should reassure older adults—especially the ones with low digital literacy—about the use of technology by proposing personalized training and mentoring, if necessary, to increase the trust.

Social robots represent a valid opportunity to manage the diagnosis, treatment, care, and support of older people with dementia. The aim of this study is to validate the Mini-Mental State Examination (MMSE) test administered by the Pepper robot equipped with systems to detect psychophysical and emotional states in older patients. Our main result is that the Pepper robot is capable of administering the MMSE and that cognitive status is not a determinant in the effective use of a social robot. People with mild cognitive impairment appreciate the robot, as it interacts with them. Acceptability does not relate strictly to the user experience, but the willingness to interact with the robot is an important variable for engagement. We demonstrate the feasibility of a novel approach that, in the future, could lead to more natural human–machine interaction when delivering cognitive tests with the aid of a social robot and a Computational Psychophysiology Module (CPM).

The term “pain threshold” refers to the measurement of the intensity of a physical stimulus that evokes pain. To estimate the pain threshold, a mechanical or electrical stimulus with increasing intensity is usually applied until the subject under evaluation refers to a pain sensation. This study aims to evaluate the autoalgometric pain threshold as a perfect technique to determine the effects of stimulation rate in relation to both gender and the site of stimulation. In this experimental model, pressure algometry was applied: the subject under evaluation pushed a finger against a small round metal tip, producing and at the same time controlling the intensity of the noxious stimulus. Through autoalgometry, the stimulus intensity was recorded over time, measuring the force change rate applied and studying the subject’s behavior on approaching pain. This test was performed with 50 healthy volunteers on two days, applying a fast or slow rate of stimulation. The results described demonstrate that there is a positive correlation between the pressure increase rate and the pressure threshold evaluation. In light of these findings, autoalgometry can be proposed as an objective measure of pressure pain threshold for clinical and research use.

Background/Objectives: Respiratory syncytial virus (RSV) bronchiolitis remains a leading cause of hospitalization in infants. In the 2024–2025 season, passive newborn immunization with nirsevimab, a long-acting anti-RSV monoclonal antibody, was introduced for the first time in Italy. However, the immunization campaign was not uniformly implemented on a regional basis due to supply and organizational difficulties. The aim of the study was to assess the real-world impact of nirsevimab prophylaxis during the 2024–2025 bronchiolitis season in four regions of Italy. Methods: This multicenter observational study included infants <12 months hospitalized for bronchiolitis across four Italian centers. Hospitalizations due to RSV and non-RSV bronchiolitis were compared across the 2023–2024 and 2024–2025 seasons, in relation to the timing and coverage of nirsevimab’s introduction in each of the four regions. Results: Early and widespread nirsevimab administration was associated with a significant reduction in RSV hospitalizations and severity of disease. Centers located in regions that had delayed implementation of immunization observed higher RSV burden and intensive care unit admissions. Admissions for non-RSV bronchiolitis remained stable. Conclusions: Timely and universal administration of nirsevimab significantly reduced RSV hospitalizations and severity, while delayed implementation resulted in limited benefit. These findings support early and uniform prophylaxis to mitigate health disparities and seasonal pressure on pediatric healthcare systems.

Background: Considering the growing population of older adults, addressing the influence of loneliness among this demographic group has become imperative, especially due to the link between social isolation and deterioration of mental and physical well-being. Technology has the potential to be used to create innovative solutions to increase socialization and potentially promote healthy aging. Objective: This 6-month study examined the usability and acceptability of a technology-based socialization service and explored how stress and living situation affect older adults’ and their ecosystem’s perceptions of technology, investigating cross-sectional and longitudinal differences among and across user groups. Methods: Participants were recruited in Tuscany and Apulia (Italy) through a network of social cooperatives and a research hospital, respectively. A total of 20 older adults were provided with the same technology installed on a tablet and on a smart television. The technology has three functionalities: video calling, playing games, and sharing news. Additionally, 20 informal caregivers (IC) and 13 formal caregivers (FC) connected to the older adults were included in the study. After both initial training in the use of the system (T0) and 6 months of using the system (T6), questionnaires on usability, acceptability, and technostress were filled in by older adults, IC, and FC. Nonparametric or parametric tests were conducted to investigate group differences at both time points and changes over time. Additional analyses on older adults were done to assess whether differences in usability and acceptability were related to living situation (ie, alone or with someone). Furthermore, correlation analyses were performed between usability, acceptability, and stress toward technology at T0 and T6. Results: At both T0 and T6, older adults had lower usability scores than IC and FC and higher anxiety than IC. Over time, there was a significant decrease in older adults’ attitudes toward technology score, depicting a negative attitude over time (T0 median 4.2, IQR 0.5; T6 median 3.7, IQR 0.8; Cohen d=0.7), while there was no change for IC and FC. At T0, those living alone had lower acceptability than those living with someone but this difference disappeared at T6. People or participants living with someone had a decline in anxiety, attitudes toward technology, enjoyment, and perceived usefulness. Stress toward technology affected usability and acceptability in the older adult group entering the study (ρ=−.85) but this was not observed after 6 months. In the IC group, stress affected trust at T0 (ρ=−.23) but not at T6. Conclusions: At the start of the study, older adults judged the system to be less usable and more stressful than did the caregivers. Indeed, at first, technostress was correlated with usability and acceptability; however, with repeated use, technostress did not influence the perception of technology. Overall, getting accustomed to technology decreased anxiety and stress toward technology.

The global increase in the older adult population has amplified interest in supporting aging in place. Age-related physical and cognitive limitations pose significant challenges, for example managing daily tasks such as medication or household activities can become increasingly difficult. This also burdens informal caregivers with emotional stress, time demands and care coordination. Assistive technologies can enhance autonomy, social connection and health management, but their long-term adoption and use remain limited. Within the Pharaon project, the study explored factors influencing technology use among older adults after 12 months of use. The research focused on the Italian pilot while integrating insights from other European sites. Qualitative data from semi-structured interviews were analyzed thematically and validated through reflection meetings and iterative online questionnaires. Recurring factors were consolidated, prioritized and mapped to explore interconnections affecting adoption. Initial findings revealed 30 factors, including personal characteristics, motivational aspects, technical design, social dynamics, and environmental context. These were rated by participating teams and 25 were retained for deeper analysis. An interconnection analysis explored how these factors influenced one another. Highly interconnected factors, such as social context, personalized training, ease of use, and cognitive changes, were central to understanding and improving technology adoption. In contrast, aspects like education level, internet access, and technical requirements appeared less interconnected, indicating more isolated effects. This multi-site, empirical investigation emphasizes the complex and interconnected nature of technology adoption among older adults. Our findings underscore the need for user-centered design, tailored training, and sensitivity to social context. Furthermore, the interactive mapping of interrelated factors provides a practical framework for developers and policymakers to target impactful interventions. To our knowledge, this is the first cross-pilot study to empirically define and score factors affecting older adults' technology use based on multi-pilot data across Europe, offering valuable insights for long-term, meaningful engagement.