Background Lateral flow device (LFD) viral antigen immunoassays have been developed around the world as diagnostic tests for SARS-CoV-2 infection. They have been proposed to deliver an infrastructure-light, cost-economical solution giving results within half an hour. Methods LFDs were initially reviewed by a Department of Health and Social Care team, part of the UK government, from which 64 were selected for further evaluation from 1st August to 15th December 2020. Standardised laboratory evaluations, and for those that met the published criteria, field testing in the Falcon-C19 research study and UK pilots were performed (UK COVID-19 testing centres, hospital, schools, armed forces). Findings 4/64 LFDs so far have desirable performance characteristics (orient Gene, Deepblue, Abbott and Innova SARS-CoV-2 Antigen Rapid Qualitative Test). All these LFDs have a viral antigen detection of >90% at 100,000 RNA copies/ml. 8951 Innova LFD tests were performed with a kit failure rate of 5.6% (502/8951, 95% CI: 5.1–6.1), false positive rate of 0.32% (22/6954, 95% CI: 0.20–0.48). Viral antigen detection/sensitivity across the sampling cohort when performed by laboratory scientists was 78.8% (156/198, 95% CI 72.4–84.3). Interpretation Our results suggest LFDs have promising performance characteristics for mass population testing and can be used to identify infectious positive individuals. The Innova LFD shows good viral antigen detection/sensitivity with excellent specificity, although kit failure rates and the impact of training are potential issues. These results support the expanded evaluation of LFDs, and assessment of greater access to testing on COVID-19 transmission. Funding Department of Health and Social Care. University of Oxford. Public Health England Porton Down, Manchester University NHS Foundation Trust, National Institute of Health Research.

This article explores innovative applications of sharing economy services that have the potential to support a population aging in place, especially the "oldest old," aged 85 and older, and their caregivers. A mixed-methods study conducted by the MIT AgeLab examined perceptions of and experiences with sharing economy services, ultimately finding opportunities and barriers to use. Thus, although sharing economy services have potential to support aging in place, to do so successfully will require reconstructing how older adults, family caregivers, aging service professionals, gerontology educators, and gerontology students conceptualize and deliver care to an aging population. We suggest examples for gerontology educators to integrate into their classrooms to further cultivate an appreciation among students of multiple approaches to intervention, including those that leverage sharing economy and technology-enabled platforms to support older adults and their caregivers.

Background and ObjectivesMobile phone use is increasing among older adults, yet few studies have examined how the various purposes for which mobile phones are used affect loneliness and through what mechanisms. This study aims to address the gap by examining if different uses and gratifications of mobile phone are associated with loneliness and whether there is a mediation effect through face-to-face social interaction.Research Design and MethodsParticipants included 1,318 mobile phone users drawn from a national probability sample of Japanese middle-aged (65% aged 40–64 years) and older adults (35% aged 65 years or older) in 2011. Ordinary Least Squares regression and mediation analyses were used.ResultsRegression analyses revealed that using a mobile phone for sociability purposes was associated with decreased loneliness (b = −0.10, p < .001), while using it for the purposes of entertainment/passing time was associated with increased loneliness (b = 0.04, p < .01); some effects varied by age and mobile phone feature use. Further, sociability was associated with increased face-to-face social interaction, which was, in turn, associated with reduced loneliness. Passing time, however, was related to reduced face-to-face interaction and, in turn, an increased sense of loneliness.Discussion and ImplicationsAlthough it is not possible to determine causality from this cross-sectional design, it is possible that the various purposes for which mobile phones are used (specifically sociability and passing time) partially affect loneliness through their effects on either increasing or decreasing face-to-face social interaction. Recommendations for enhancing positive and reducing negative effects of mobile phone usage are discussed.

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