Parkinson’s disease (PD) is a progressive neurological disorder of the central nervous system that deteriorates motor functions, while it is also accompanied by a large diversity of non-motor symptoms such as cognitive impairment and mood changes, hallucinations, and sleep disturbance. Parkinsonism is evaluated during clinical examinations and appropriate medical treatments are directed towards alleviating symptoms. Tri-axial accelerometers, gyroscopes, and magnetometers could be adopted to support clinicians in the decision-making process by objectively quantifying the patient’s condition. In this context, at-home data collections aim to capture motor function during daily living and unobstructedly assess the patients’ status and the disease’s symptoms for prolonged time periods. This review aims to collate existing literature on PD monitoring using inertial sensors while it focuses on papers with at least one free-living data capture unsupervised either directly or via videotapes. Twenty-four papers were selected at the end of the process: fourteen investigated gait impairments, eight of which focused on walking, three on turning, two on falls, and one on physical activity; ten articles on the other hand examined symptoms, including bradykinesia, tremor, dyskinesia, and motor state fluctuations in the on/off phenomenon. In summary, inertial sensors are capable of gathering data over a long period of time and have the potential to facilitate the monitoring of people with Parkinson’s, providing relevant information about their motor status. Concerning gait impairments, kinematic parameters (such as duration of gait cycle, step length, and velocity) were typically used to discern PD from healthy subjects, whereas for symptoms’ assessment, researchers were capable of achieving accuracies of over 90% in a free-living environment. Further investigations should be focused on the development of ad-hoc hardware and software capable of providing real-time feedback to clinicians and patients. In addition, features such as the wearability of the system and user comfort, set-up process, and instructions for use, need to be strongly considered in the development of wearable sensors for PD monitoring.

Background Older adults may use wearable devices for various reasons, ranging from monitoring clinically relevant health metrics or detecting falls to monitoring physical activity. Little is known about how this population engages with wearable devices, and no qualitative synthesis exists to describe their shared experiences with long-term use. Objective This study aims to synthesize qualitative studies of user experience after a multi-day trial with a wearable device to understand user experience and the factors that contribute to the acceptance and use of wearable devices. Methods We conducted a systematic search in CINAHL, APA PsycINFO, PubMed, and Embase (2015-2020; English) with fixed search terms relating to older adults and wearable devices. A meta-synthesis methodology was used. We extracted themes from primary studies, identified key concepts, and applied reciprocal and refutational translation techniques; findings were synthesized into third-order interpretations, and finally, a “line-of-argument” was developed. Our overall goal was theory development, higher-level abstraction, and generalizability for making this group of qualitative findings more accessible. Results In total, we reviewed 20 papers; 2 evaluated fall detection devices, 1 tested an ankle-worn step counter, and the remaining 17 tested activity trackers. The duration of wearing ranged from 3 days to 24 months. The views of 349 participants (age: range 51-94 years) were synthesized. Four key concepts were identified and outlined: motivation for device use, user characteristics (openness to engage and functional ability), integration into daily life, and device features. Motivation for device use is intrinsic and extrinsic, encompassing many aspects of the user experience, and appears to be as, if not more, important than the actual device features. To overcome usability barriers, an older adult must be motivated by the useful purpose of the device. A device that serves its intended purpose adds value to the user’s life. The user’s needs and the support structure around the device—aspects that are often overlooked—seem to play a crucial role in long-term adoption. Our “line-of-argument” model describes how motivation, ease of use, and device purpose determine whether a device is perceived to add value to the user’s life, which subsequently predicts whether the device will be integrated into the user’s life. Conclusions The added value of a wearable device is the resulting balance of motivators (or lack thereof), device features (and their accuracy), ease of use, device purpose, and user experience. The added value contributes to the successful integration of the device into the daily life of the user. Useful device features alone do not lead to continued use. A support structure should be placed around the user to foster motivation, encourage peer engagement, and adapt to the user’s preferences.

Objective: Our home can have a major impact on our physical and mental health; this is particularly true for older people who may spend more time at home. Older people in social (i.e., public) housing are particularly vulnerable. Housing options for older people in social housing include standard design dwellings or specially designed “sheltered housing.” The most suitable housing model should be identified, with older people consulted in this process. Method: Survey of older people (aged ≥60) living in standard or sheltered social housing. Data were analyzed using descriptive and inferential statistics in SPSS Version 22. Results: Overall, 380 surveys were returned (response rate = 47.2%). All older people had similar housing needs. Those in sheltered housing were more satisfied with the physical home design and reported more positive outcomes. Older people in standard housing were less likely to have necessary adaptations to facilitate aging-in-place. Discussion: Older people in standard housing reported more disability/illnesses, are worried about the future, and felt less safe at home. However, few wanted to move, and very few viewed sheltered housing as an alternative, suggesting limited knowledge about their housing options. Future social housing designs should be flexible, that is, adaptable to the needs of the tenants over time.

Social isolation and loneliness are common experiences of ageing in rural communities. Policy responses and interventions for social isolation and loneliness in later life are shaped by sociocultural understandings of place, relationships and social interaction. This study examined how representations of rural community in Ireland influenced the focus, relationships and activities within a befriending intervention designed to tackle social isolation and loneliness. Through a qualitative case study conducted in 2014, the symbolic meaning of the intervention was explored using interviews and focus groups with participants (8 befriended, 11 befrienders and 3 community workers) from one befriending programme in rural Ireland. Reflected in the programme was a representation of a rural community in decline with concern for the impact on older people. There was a valuing of the traditional community defined by geographical place, perceptions of similarity among its members, and values of solidarity and mutual support. The befriending intervention represented a commitment to intra-community solidarity and a desire by many for authentic befriending relationships that mirrored understandings of relationships within the traditional community. Identifying and alleviating social isolation and loneliness imply a set of normative values about community and the optimal social relationships within community. This paper proposes that there is a need to consider the role played by understandings of community in shaping context-sensitive interventions to counter social isolation and loneliness in later life.