2008 Progress Report on Brain Research

Highlights new research on various disorders, nervous system injuries, neuroethics, neuroimmunology, pain, sense and body function, stem cells and neurogenesis, and thought and memory. Includes essays on arts and cognition and on deep brain stimulation

M-health adoption by healthcare professionals : a systematic review

Objective The aim of this systematic review was to synthesize current knowledge of the factors influencing healthcare professional adoption of mobile health (m-health) applications. Methods Covering a period from 2000 to 2014, we conducted a systematic literature search on four electronic databases (PubMed, EMBASE, CINAHL, PsychInfo). We also consulted references from included studies. We included studies if they reported the perceptions of healthcare professionals regarding barriers and facilitators to m-health utilization, if they were published in English, Spanish, or French and if they presented an empirical study design (qualitative, quantitative, or mixed methods). Two authors independently assessed study quality and performed content analysis using a validated extraction grid with pre-established categorization of barriers and facilitators. Results The search strategy led to a total of 4223 potentially relevant papers, of which 33 met the inclusion criteria. Main perceived adoption factors to m-health at the individual, organizational, and contextual levels were the following: perceived usefulness and ease of use, design and technical concerns, cost, time, privacy and security issues, familiarity with the technology, risk-benefit assessment, and interaction with others (colleagues, patients, and management). Conclusion This systematic review provides a set of key elements making it possible to understand the challenges and opportunities for m-health utilization by healthcare providers

Evaluating the impact of physical activity apps and wearables: interdisciplinary review

Background: Although many smartphone apps and wearables have been designed to improve physical activity, their rapidly evolving nature and complexity present challenges for evaluating their impact. Traditional methodologies, such as randomized controlled trials (RCTs), can be slow. To keep pace with rapid technological development, evaluations of mobile health technologies must be efficient. Rapid alternative research designs have been proposed, and efficient in-app data collection methods, including in-device sensors and device-generated logs, are available. Along with effectiveness, it is important to measure engagement (ie, users’ interaction and usage behavior) and acceptability (ie, users’ subjective perceptions and experiences) to help explain how and why apps and wearables work. Objectives: This study aimed to (1) explore the extent to which evaluations of physical activity apps and wearables: employ rapid research designs; assess engagement, acceptability, as well as effectiveness; use efficient data collection methods; and (2) describe which dimensions of engagement and acceptability are assessed. Method: An interdisciplinary scoping review using 8 databases from health and computing sciences. Included studies measured physical activity, and evaluated physical activity apps or wearables that provided sensor-based feedback. Results were analyzed using descriptive numerical summaries, chi-square testing, and qualitative thematic analysis. Results: A total of 1829 abstracts were screened, and 858 articles read in full. Of 111 included studies, 61 (55.0%) were published between 2015 and 2017. Most (55.0%, 61/111) were RCTs, and only 2 studies (1.8%) used rapid research designs: 1 single-case design and 1 multiphase optimization strategy. Other research designs included 23 (22.5%) repeated measures designs, 11 (9.9%) nonrandomized group designs, 10 (9.0%) case studies, and 4 (3.6%) observational studies. Less than one-third of the studies (32.0%, 35/111) investigated effectiveness, engagement, and acceptability together. To measure physical activity, most studies (90.1%, 101/111) employed sensors (either in-device [67.6%, 75/111] or external [23.4%, 26/111]). RCTs were more likely to employ external sensors (accelerometers: P=.005). Studies that assessed engagement (52.3%, 58/111) mostly used device-generated logs (91%, 53/58) to measure the frequency, depth, and length of engagement. Studies that assessed acceptability (57.7%, 64/111) most often used questionnaires (64%, 42/64) and/or qualitative methods (53%, 34/64) to explore appreciation, perceived effectiveness and usefulness, satisfaction, intention to continue use, and social acceptability. Some studies (14.4%, 16/111) assessed dimensions more closely related to usability (ie, burden of sensor wear and use, interface complexity, and perceived technical performance). Conclusions: The rapid increase of research into the impact of physical activity apps and wearables means that evaluation guidelines are urgently needed to promote efficiency through the use of rapid research designs, in-device sensors and user-logs to assess effectiveness, engagement, and acceptability. Screening articles was time-consuming because reporting across health and computing sciences lacked standardization. Reporting guidelines are therefore needed to facilitate the synthesis of evidence across disciplines

Sequential simulation model development

Sequential simulation (SqS) is a physical form of simulation that recreates care pathway trajectories rather than single episodes of care. Current physical simulation in health care focuses on specific tasks or particular teams and settings. However, the patient perspective is a journey through the care system and not an isolated component. To date, SqS has been used for a range of applications, including training multidisciplinary teams on end-of-life care, developing integrated care approaches, quality improvement projects, designing new models of care, evaluating new interventions, and improving care of the deteriorating patient in an acute setting, to name but a few. Many applications are possible, and therefore the design process can be lengthy and complex. This article outlines an approach the author took over a 3-year period to generate a usable SqS model through empirical and theoretical data. The model draws on process, observational, survey, and evaluative data to generate an understanding of the key components that constitute the design process of an SqS. This approach resulted in an empirically and theoretically driven model that can be used and refined by others in the field of health-care simulation

Remote interspecies interactions: Improving humans and animals wellbeing through mobile playful spaces

[EN] Play is an essential activity for both humans and animals as it provides stimulation and favors cognitive, physical and social development. This paper proposes a novel pervasive playful environment that allows hospitalized children to participate in remote interspecies play with dogs in a dog daycare facility, while it also allows the dogs to play by themselves with the pervasive system. The aim of this playful interactive space is to help improving both children¿s and animal¿s wellbeing and their relationships by means of technologically mediated play, while creating a solid knowledge base to define the future of pervasive interactive environments for animals.This work is supported by the European Development Regional Fund (EDRF-FEDER), Spain and Spanish MINECO (TIN2014-60077-R). The work of Patricia Pons is supported by the Spanish MECD (FPU13/03831). Special thanks to the dogs and children who participated in our study, the dogs' owners and the children's families. The authors also gratefully acknowledge the teachers of the Unidad Pedagogica Hospitalaria La Fe and Oncologia Pediatrica La Fe and also Olga and Astrid from Buma's Doggy Daycare facility, for their invaluable support, collaboration and dedication.Pons Tomás, P.; Carrion-Plaza, A.; Jaén Martínez, FJ. (2019). Remote interspecies interactions: Improving humans and animals wellbeing through mobile playful spaces. Pervasive and Mobile Computing. 52:113-130. https://doi.org/10.1016/j.pmcj.2018.12.003S1131305