Information and Communication Technologies (ICTs) have considerably increased the information and communication channels, favoring the emergence of new models for relations, such as social networks. However, for elderly users whose learning has traditionally been based on linear models of information such as textbooks, unfamiliarity with Internet can be a barrier. Moreover, elderly people living in rural communities face a lack of telecommunication infrastructures, which increases their difficulties in accessing ICTs. The aim of this study is to test a social network consisting of multiple applications with linear navigation as a digital literacy method for the elderly in rural areas. A sample of 46 participants between 60-76 years old with heterogeneous previous experience with ICTs participated in the study. They performed eight standardized sessions in an Elderly Leisure Center. Results showed differences in perceived usefulness between users with high and low ICT experience. After eight training sessions, the majority of the participants were able to independently use all the system applications, and positive results were obtained on the variables measured, i.e., learnability, sense of control over the system, ability to use the system, orientation, efficiency, accessible design, perceived ease, perceived usefulness, and intention to use. The participants with previous experience with other ICT methods preferred the linear navigation method because they thought it was easier than other ICTs. The results showed interaction differences when touch screens were used. Qualitative results showed that one of the most frequent emotions at the beginning of the ICT sessions was "fear" (related to breaking the computer or to making fools of themselves), but the continued use of the system improved the users' perceptions of their own capacity to handle ICTs and their interest in ICTs in general. The main contribution of this work consists of exploring the usefulness of linear navigation and social network systems in the context of digital literacy for elderly users in rural areas.

The new assessment protocol in the app allows for an easy and rapid multidimensional assessment of chronic pain patients.

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Background. The usefulness of mHealth in helping to target face-to-face interventions for chronic pain more effectively remains unclear. In the present study, we aim to test whether the Pain Monitor mobile phone application (app) is well accepted by clinicians, and can help improve existent medical treatments for patients with chronic musculoskeletal pain. Regarding this last goal, we compared three treatment conditions, namely usual treatment, usual treatment with an app without alarms and usual treatment with an app with alarms. All treatments lasted one month. The three treatments were compared for all outcomes, i.e., pain severity and interference, fatigue, depressed mood, anxiety and anger. Methods. In this randomized controlled trial, the usual monitoring method (i.e., onsite; n = 44) was compared with daily ecological momentary assessment using the Pain Monitor app—both with (n = 43) and without alarms (n = 45). Alarms were sent to the clinicians in the presence of pre-established undesired clinical events and could be used to make treatment adjustments throughout the one-month study. Results. With the exception of anger, clinically significant changes (CSC; 30% improvement) were greater in the app + alarm condition across outcomes (e.g., 43.6% of patients experienced a CSC in depressed mood in the app + alarm condition, which occurred in less than 29% of patients in the other groups). The clinicians were willing to use the app, especially the version with alarms. Conclusions. The use of apps may have some benefits in individual health care, especially when using alarms to tailor treatments.

Background: Research has supported the cost-effectiveness of cognitive training tools enhanced by information and communication technologies (ICT) in several populations, including individuals with mild cognitive impairment (MCI) and age-related cognitive decline. The implementation of ICTs in this population, however, is sometimes challenging to their cognitive and age characteristics. Ultimately, this might compromise the effectiveness of ICT-enhanced therapies in this population. The aim of this study is to test the usability and acceptability of a European project prototype for elderly care, in an attempt to explore the ICT design needs of users with MCI. Methods: Participants were 28 individuals aged 58–95 years and with a diagnosis of MCI. Results: The results showed a low perception of peripheral elements and the need to place main interaction elements in the centre of the screen. The correlation between the general level of autonomy (daily life activities) and the ICT autonomy level was significant and positive. The speed of audio help had a significant impact on performance. Conclusion: The present work contributes to the literature on ICT usability needs of users with MCI. Some usability recommendations for designing interfaces for this type of user are provided in the text.

Background: Chronic pain has become a major health problem across the world, especially in older adults. Unfortunately, the effectiveness of medical interventions is modest. Some have argued that assessment strategies should be improved if the impact of medical interventions is to be improved. Ecological momentary assessment using smartphones is now considered the gold standard in monitoring in health settings, including chronic pain. However, to the best of our knowledge, there is no randomized controlled trial to show that telemonitoring using a smartphone app can indeed improve the effectiveness of medical treatments in adults with chronic pain. The goal of this study will be to explore the effects of using a smartphone app for telemonitoring adults with chronic pain.

Childhood obesity is an increasing public health problem in western culture. Sedentary lifestyles and an “obesogenic environment” are the main influences on children leading to an increase in obesity. The objective of this paper is to describe an e-health platform for the treatment and prevention of childhood obesity called ETIOBE. This e-health platform is an e-therapy system for the treatment of obesity, aimed at improving treatment adherence and promoting the mechanisms of self-control in patients, to obtain weight loss maintenance and to prevent relapse by establishing healthy lifestyle habits. ETIOBE is composed of three different applications, the Clinician Support System (CSS), the Home Support System (HSS) and the Mobile Support System (MSS). The use of new Information and Communication (ICT) technologies can help clinicians to improve the effectiveness of weight loss treatments, especially in the case of children, and to achieve designated treatment goals.

Objective. Overall, the literature on the effectiveness of psychological treatments in general and those for fibromyalgia in particular has been dominated by research designs that focus on large groups and explore changes on average, so the treatment impact at the individual level remains unclear. In this quasi-experimental, replicated single-case design, we will test the feasibility and effectiveness of a brief acceptance and committed therapy intervention using ecological momentary assessment supported by technology. Methods. The sample comprised 7 patients (3 in the individual condition and 4 in the group condition) who received a brief, 5-week psychological treatment. Patient evolution was assessed one week prior to treatment onset and during the whole study with a smartphone app. Because ecological momentary assessment and the use of an app are not frequent practices in routine care, we also evaluated the feasibility of this assessment methodology (i.e., compliance with the app). Change was investigated with a nonoverlap of all pairs index. Outcomes were pain interference with sleep and social activities, fatigue, sadness, and pain intensity. Results. Patient change was not uniform across outcomes. Four patients (two in each condition) showed relatively moderate levels of change (approximately 60% nonoverlap in several outcomes). The remaining patients showed more modest improvements which affected a reduced number of outcomes. Based on nonoverlapping indices, there was no clear evidence in favor of any treatment format. Conclusions. An alternative design to large-scale trials, one that focuses on the individual change, exists and it can be implemented in pain research. The use of technology (e.g., smartphones) simplifies such designs by facilitating ecological momentary assessment. Based on our findings showing that changes were not homogeneous across patients or outcomes, more single-case designs and patient-centered analyses (e.g., responder and moderation analyses) are required.