“I Personally Wouldn’t Know Where to Go”: Adolescents’ Perceptions of Mental Health Services

The aim of this study was to explore perceptions of mental health services from the perspectives of adolescents with no prior service experience. Thirty students in the Transition Year (fourth year) of secondary school participated in this study: 22 females and 8 males, aged 15 to 16. There was equal distribution across rural and urban settings. Participants had no prior experience of accessing mental health services. Data were collected in secondary school settings in the Republic of Ireland. An interpretive description approach guided this study. Data were collected through individual interviews. To complement interviews, participants drew images of mental health care environments and mental health staff members; drawings were not subjected to analysis. Data (participant interviews) were analyzed using qualitative content analysis. Three themes were identified. Participants suggested that “mental health services” differed from “psychiatric services,” with the latter term perceived more negatively. Uncertainty about how to access these services was voiced. Considering the vulnerability of adolescents to the experience of mental distress, education around mental health services is warranted. It is expected that provision of education in this area would enhance service delivery, improve adolescents’ help-seeking behaviors for mental distress, and reduce stigma.

Usability Testing of a Sensor-Controlled Digital Game to Engage Older Adults with Heart Failure in Physical Activity and Weight Monitoring

BACKGROUND

Poor self-management of heart failure (HF) has contributed to poor health outcomes. Sensor-controlled digital games (SCDGs) integrates data from behavior-tracking sensors to trigger progress, rewards, content, and positive feedback in a digital game to motivate real-time behaviors.

OBJECTIVES

To assess the usability of an SCDG prototype over a week of game-playing among 10 older adults with HF in their homes.

METHODS

During initial play, participants' SCDG experiences were observed in their homes using a checklist based on the seven-item Serious Game User Evaluator (SeGUE) instrument. After a week of game-playing, participants completed a survey guided by the Intrinsic Motivation Inventory, to provide their perceptions of the SCDG's usability. Qualitative analysis via semistructured interview-derived themes on experiences playing the SCDG, perceptions regarding engaging with the SCDG, and any usability issues encountered.

RESULTS

Ten HF participants (50% women and 50% White) played the SCDG for an average of 6 out of 7 days. Nine found the SCDG to be interesting, satisfying, and easy to play. The average step count over a week was 4,117 steps (range: 967-9,892). Average adherence with weight monitoring was 5.9 days in a week. Qualitative analysis yielded outcomes regarding attitudes toward SCDG, and barriers and facilitators that influenced participants' engagement with the SCDG.

CONCLUSION

To the best of the authors' knowledge, this usability and feasibility study is the first to report an SCDG designed to improve HF self-management behaviors of older adults in their homes. Future research should consider several issues, such as user profiles, prior game-playing experiences, and network conditions most suitable for connected health interventions for older adults living in the community.

Measure It Super Simple (MISS) activity tracker: (re)design of a user-friendly interface and evaluation of experiences in daily life

PURPOSE

The purposes of this study were, first, to (re)design the user-interface of the activity tracker known as the MOX with the help of input from elderly individuals living independently and, second, to assess the use of and experiences with the adapted Measure It Super Simple (MISS) activity tracker in daily life.

METHODS

The double diamond method, which was used to (re)design the user-interface, consists of four phases: discover, define, develop, and deliver. As a departure point, this study used a list of general design requirements that facilitate the development of technology for the elderly. Usage and experiences were assessed through interviews after elderly individuals had used the activity tracker for 2 weeks.

RESULTS

In co-creation with thirty-five elderly individuals (65 to 89-years-old) the design, feedback system, and application were further developed into a user-friendly interface: the Measure It Super Simple (MISS) activity. Twenty-eight elderly individuals (65 to 78-years-old) reported that they found the MISS activity easy to use, needed limited help when setting the tracker up, and required limited assistance when using it during their daily lives.

CONCLUSIONS

This study offers a generic structured methodology and a list of design requirements to adapt the interface of an existing activity tracker consistent with the skills and needs of the elderly. The MISS activity seemed to be successfully (re)designed, like the elderly who participated in this pilot study reported that anyone should be able to use it.IMPLICATIONS FOR REHABILITATIONThis study provides an overview of important characteristics of the activity tracker interface for elderly individuals that can be used when choosing an appropriate activity tracker.This study can serve as a model that demonstrates how to adapt other eHealth and mHealth tools to improve the user-centred design.The MISS activity seems to be an elderly-friendly activity tracker that can facilitate a meaningful experience.

Effects of two web-based interventions promoting physical activity among older adults compared to a delayed intervention control group in Northwestern Germany: Results of the PROMOTE community-based intervention trial

Regular physical activity (PA) is of central importance for healthy ageing. However, in Germany, only 42% of older adults currently reach the PA recommendations of the World Health Organization. The aim of this study was to examine the effects of two web-based interventions on PA in adults aged 65–75 years living in Northwestern Germany compared to a delayed intervention control group (CG). 589 older adults were randomized to one of the three groups. Participants in intervention group 1 (IG1) received access to a web-based intervention for ten weeks assisting them in self-tracking PA behavior. Participants in IG2 received the intervention of IG1 and additionally an activity tracker to objectively track PA behavior. To analyze differences in objectively measured moderate-to-vigorous PA and sedentary time between baseline and follow-up (12 weeks after baseline), linear mixed models were used. The interaction effects revealed a decrease in minutes spent on moderate-to-vigorous PA in bouts of 10 min by 11 min per week in IG1 participants (β = −11.08, 95% CI: (−35.03; 12.87)). In comparison, IG2 participants were 7 min more physically active at follow-up (β = 7.48, 95% CI: (−17.64; 32.60)). Sedentary time in bouts of 30 min per week increased in IG1 participants (β = 106.77, 95% CI: (−47.69; 261.23)) and decreased in IG2 participants at follow-up (β = −16.45, 95% CI: (−178.83; 145.94)). Participation in the two web-based interventions did not lead to significant increases in moderate-to-vigorous PA or significant decreases in sedentary time compared to the CG.

The study was registered at the German Clinical Trials Register (DRKS00010052, 07-11-2016).

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Regular physical activity (PA) is central to healthy ageing.

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In Germany, only 42% of older adults currently meet the WHO-recommended PA levels.

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PROMOTE examined the effectiveness of web-based PA interventions in older adults.

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Two ten week web-based PA interventions were compared to a control group.

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We found no increases in moderate-to-vigorous PA or decreases in sedentary time.

The use of mobile devices for physical activity tracking in older adults' everyday life

OBJECTIVE

The tracking of one's own physical activity with mobile devices is a way of monitoring and motivating oneself to remain healthy. Older adults' general use of mobile devices for physical activity tracking has not yet been examined systematically. The study aimed to describe the use of physical activity trackers, smartwatches and smartphones, or tablets for tracking physical activity and to examine the reasons for the use of these technologies.

METHODS

Participants aged ≥50 years (N = 1013) living in Switzerland were interviewed in a telephone survey. To address the research questions, we calculated descriptive frequency distributions, tested for differences between groups, and performed logistic regression analyses.

RESULTS

Descriptive and multivariate analyses showed that (a) 20.5% of participants used mobile devices for physical activity tracking; (b) men, younger individuals, those with a strong interest in new technology, and those who frequently exercised had a higher likelihood of using mobile devices for physical activity tracking; and (c) participants more often agreed with reasons for use relating to tracking physical activity and motivating oneself to remain healthy than they did with reasons relating to social factors.

CONCLUSIONS

The study presented representative data about the actual use of mobile tracking technology in persons over 50 years of age. Today, mainly active and younger elderly (mostly men) with a high interest in technology are using tracking technologies. Results indicate a need for further studies on motivational and usability aspects regarding the use of mobile health tracking devices by older adults.