Digital health interventions are a promising alternative to face-to-face psychosocial interventions that may improve psychological outcomes in youth with diabetes. Several reviews have explored the efficacy of digital health interventions for adults and youth with some chronic health conditions; however, their efficacy among youth with type 1 diabetes is not known. This systematic review aims to assess digital health interventions targeting both psychological and physical health outcomes in youth with type 1 diabetes as well as to evaluate study quality and efficacy, and provide directions for future research in this area. Relevant studies were identified through searches conducted in MEDLINE, Embase, APA PsycInfo, Scopus, Cochrane Central, and CINAHL Plus up until February 2021. Studies were included if they were
Background With anxiety a growing issue and barriers to accessing support services, there is a need for innovative solutions to provide early intervention. In-the-moment interventions support individuals to recognize early signs of distress and use coping mechanisms to prevent or manage this distress. There is potential for wearable sensors linked to an individual’s mobile phone to provide in-the-moment support tailored to individual needs and physiological responses. Objective The aim of this scoping review is to examine the role of sensors in detecting the physiological signs of anxiety to initiate and direct interventions for its management. Methods Relevant studies were identified through searches conducted in Embase, MEDLINE, APA PsycINFO, ProQuest, and Scopus. Studies were identified if they were conducted with people with stress or anxiety or at risk of anxiety and included a wearable sensor providing real-time data for in-the-moment management of anxiety. Results Of the 1087 studies identified, 11 studies were included in the review, including 5 randomized controlled trials and 6 pilot or pretesting studies. The results showed that most studies successfully demonstrated improvements in their target variables. This included overall anxiety and stress levels, and the implementation of in-the-moment stress and anxiety management techniques such as diaphragmatic breathing. There was wide variation in the types of sensors used, physiological measures, and sensor-linked interventions. Conclusions This review indicates that sensors are potentially a useful tool in detecting anxiety and facilitating the implementation of a known control mechanism to reduce anxiety and improve mood, but further work is needed to understand the acceptability and effectiveness of this type of intervention.
Background Despite significant progress in reducing tobacco use over the past 2 decades, tobacco still kills over 8 million people every year. Digital interventions, such as text messaging, have been found to help people quit smoking. Chatbots, or conversational agents, are new digital tools that mimic instantaneous human conversation and therefore could extend the effectiveness of text messaging. Objective This scoping review aims to assess the extent of research in the chatbot literature for smoking cessation and provide recommendations for future research in this area. Methods Relevant studies were identified through searches conducted in Embase, MEDLINE, APA PsycINFO, Google Scholar, and Scopus, as well as additional searches on JMIR, Cochrane Library, Lancet Digital Health, and Digital Medicine. Studies were considered if they were conducted with tobacco smokers, were conducted between 2000 and 2021, were available in English, and included a chatbot intervention. Results Of 323 studies identified, 10 studies were included in the review (3 framework articles, 1 study protocol, 2 pilot studies, 2 trials, and 2 randomized controlled trials). Most studies noted some benefits related to smoking cessation and participant engagement; however, outcome measures varied considerably. The quality of the studies overall was low, with methodological issues and low follow-up rates. Conclusions More research is needed to make a firm conclusion about the efficacy of chatbots for smoking cessation. Researchers need to provide more in-depth descriptions of chatbot functionality, mode of delivery, and theoretical underpinnings. Consistency in language and terminology would also assist in reviews of what approaches work across the field.
Aim: We undertook qualitative research to understand more about older people and their interactions with technology, specifically to evidence the question “ can older people (seniors) manage electronic patient-reported outcomes solutions in clinical trials?”. Methods: We undertook qualitative research interviews with older people and investigated the findings. Results: Seven of the ten participants had a smartphone and 3/10 had a feature phone (a mobile phone with buttons and no touchscreen). There was a shift from smartphone use by the younger participants to feature phone use by the oldest participants. Conclusion: The younger group of older individuals had similar experiences and attitudes toward touchscreen devices as the rest of the population. While the older participants expressed some reluctance toward unfamiliar technology, all participants were using technology and accepting of it.
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