Background: App-based mobile health exercise interventions can motivate individuals to engage in more physical activity (PA). According to the Fogg Behavior Model, it is important that the individual receive prompts at the right time to be successfully persuaded into PA. These are referred to as just-in-time (JIT) interventions. The Playful Active Urban Living (PAUL) app is among the first to include 2 types of JIT prompts: JIT adaptive reminder messages to initiate a run or walk and JIT strength exercise prompts during a walk or run (containing location-based instruction videos). This paper reports on the feasibility of the PAUL app and its JIT prompts.Objective: The main objective of this study was to examine user experience, app engagement, and users' perceptions and opinions regarding the PAUL app and its JIT prompts and to explore changes in the PA behavior, intrinsic motivation, and the perceived capability of the PA behavior of the participants.Methods: In total, 2 versions of the closed-beta version of the PAUL app were evaluated: a basic version (Basic PAUL) and a JIT adaptive version (Smart PAUL). Both apps send JIT exercise prompts, but the versions differ in that the Smart PAUL app sends JIT adaptive reminder messages to initiate running or walking behavior, whereas the Basic PAUL app sends reminder messages at randomized times. A total of 23 participants were randomized into 1 of the 2 intervention arms. PA behavior (accelerometer-measured), intrinsic motivation, and the perceived capability of PA behavior were measured before and after the intervention. After the intervention, participants were also asked to complete a questionnaire on user experience, and they were invited for an exit interview to assess user perceptions and opinions of the app in depth.Results: No differences in PA behavior were observed (Z=-1.433; P=.08), but intrinsic motivation for running and walking and for performing strength exercises significantly increased (Z=-3.342; P<.001 and Z=-1.821; P=.04, respectively). Furthermore, participants increased their perceived capability to perform strength exercises (Z=2.231; P=.01) but not to walk or run (Z=-1.221; P=.12). The interviews indicated that the participants were enthusiastic about the strength exercise prompts. These were perceived as personal, fun, and relevant to their health. The reminders were perceived as important initiators for PA, but participants from both app groups explained that the reminder messages were often not sent at times they could exercise. Although the participants were enthusiastic about the functionalities of the app, technical issues resulted in a low user experience.Conclusions: The preliminary findings suggest that the PAUL apps are promising and innovative interventions for promoting PA. Users perceived the strength exercise prompts as a valuable addition to exercise apps. However, to be a feasible intervention, the app must be more stable.
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Just-in-time adaptive intervention (JITAI) has gained attention recently and previous studies have indicated that it is an effective strategy in the field of mobile healthcare intervention. Identifying the right moment for the intervention is a crucial component. In this paper the reinforcement learning (RL) technique has been used in a smartphone exercise application to promote physical activity. This RL model determines the ‘right’ time to deliver a restricted number of notifications adaptively, with respect to users’ temporary context information (i.e., time and calendar). A four-week trial study was conducted to examine the feasibility of our model with real target users. JITAI reminders were sent by the RL model in the fourth week of the intervention, while the participants could only access the app’s other functionalities during the first 3 weeks. Eleven target users registered for this study, and the data from 7 participants using the application for 4 weeks and receiving the intervening reminders were analyzed. Not only were the reaction behaviors of users after receiving the reminders analyzed from the application data, but the user experience with the reminders was also explored in a questionnaire and exit interviews. The results show that 83.3% reminders sent at adaptive moments were able to elicit user reaction within 50 min, and 66.7% of physical activities in the intervention week were performed within 5 h of the delivery of a reminder. Our findings indicated the usability of the RL model, while the timing of the moments to deliver reminders can be further improved based on lessons learned.
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Abstract: Background: Chronic obstructive pulmonary disease (COPD) and asthma have a high prevalence and disease burden. Blended self-management interventions, which combine eHealth with face-to-face interventions, can help reduce the disease burden. Objective: This systematic review and meta-analysis aims to examine the effectiveness of blended self-management interventions on health-related effectiveness and process outcomes for people with COPD or asthma. Methods: PubMed, Web of Science, COCHRANE Library, Emcare, and Embase were searched in December 2018 and updated in November 2020. Study quality was assessed using the Cochrane risk of bias (ROB) 2 tool and the Grading of Recommendations, Assessment, Development, and Evaluation. Results: A total of 15 COPD and 7 asthma randomized controlled trials were included in this study. The meta-analysis of COPD studies found that the blended intervention showed a small improvement in exercise capacity (standardized mean difference [SMD] 0.48; 95% CI 0.10-0.85) and a significant improvement in the quality of life (QoL; SMD 0.81; 95% CI 0.11-1.51). Blended intervention also reduced the admission rate (relative ratio [RR] 0.61; 95% CI 0.38-0.97). In the COPD systematic review, regarding the exacerbation frequency, both studies found that the intervention reduced exacerbation frequency (RR 0.38; 95% CI 0.26-0.56). A large effect was found on BMI (d=0.81; 95% CI 0.25-1.34); however, the effect was inconclusive because only 1 study was included. Regarding medication adherence, 2 of 3 studies found a moderate effect (d=0.73; 95% CI 0.50-0.96), and 1 study reported a mixed effect. Regarding self-management ability, 1 study reported a large effect (d=1.15; 95% CI 0.66-1.62), and no effect was reported in that study. No effect was found on other process outcomes. The meta-analysis of asthma studies found that blended intervention had a small improvement in lung function (SMD 0.40; 95% CI 0.18-0.62) and QoL (SMD 0.36; 95% CI 0.21-0.50) and a moderate improvement in asthma control (SMD 0.67; 95% CI 0.40-0.93). A large effect was found on BMI (d=1.42; 95% CI 0.28-2.42) and exercise capacity (d=1.50; 95% CI 0.35-2.50); however, 1 study was included per outcome. There was no effect on other outcomes. Furthermore, the majority of the 22 studies showed some concerns about the ROB, and the quality of evidence varied. Conclusions: In patients with COPD, the blended self-management interventions had mixed effects on health-related outcomes, with the strongest evidence found for exercise capacity, QoL, and admission rate. Furthermore, the review suggested that the interventions resulted in small effects on lung function and QoL and a moderate effect on asthma control in patients with asthma. There is some evidence for the effectiveness of blended self-management interventions for patients with COPD and asthma; however, more research is needed. Trial Registration: PROSPERO International Prospective Register of Systematic Reviews CRD42019119894; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=119894
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Social needs are important basic human needs; when not satisfied, loneliness and social isolation can occur and subsequently sickness or even premature death. For older people social needs can be more difficult to satisfy because of the loss of resources such as health and mobility. Interventions for older people to satisfy social needs are often not evaluated and when evaluated are not proven successful. Technological interventions can be successful, but the relationship between technology and social wellbeing is complex and more research in this area is needed. The aim of this research is to uncover design opportunities for technological interventions to fulfil social needs of older people. Context-mapping sessions are a way to gain more insight into the social needs of older people and to involve them in the design of interventions to fulfil social needs. Participants of the context-mapping sessions were older people and social workers working with older people. Four sessions with a total of 20 participants were held to generate ideas for interventions to satisfy social needs. The results are transcripts from the discussion parts of the context-mapping sessions and collages the participants created. The transcripts were independently analysed and inductive codes were attached to quotations in the transcripts that are relevant to the research question and subsequently thematic analysis took place. Collages made by the participants were independently analysed by the researchers and after discussion consensus was reached about important themes. The following three main themes emerged: ‘connectedness’, ‘independence’ and ‘meaningfulness’. Technology was not identified as a separate theme, but was addressed in relation to the above mentioned themes. Staying active in a meaningful way, for example by engaging in volunteer work, may fulfil the three needs of being connected, independent and meaningful. In addition, interventions can also focus on the need to be and remain independent and to deal with becoming more dependent. The older people in our study have an ambivalent attitude towards technology, which needs to be taken into account when designing an intervention. We conclude this paper by making recommendations for possible technological interventions to fulfil social needs.
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If you are looking for examples of just how special dogs are, you will find thirteen wonderful examples in this book. These dogs have a knack for calming people down and picking up on tension—sometimes even better than we do! Each story highlights the incredible bond between dogs and humans, showcasing their unique talents. But there's more to it than just heartwarming tales.When dogs get involved in caregiving, it opens up a lot of questions and challenges. Some of these are more straightforward, like what health benefits come from having a dog around or how effective other methods are without using a dog. At the same time, the mix of caregiver, dog, and client brings up important questions about how to do the right thing, treat both people and animals well and evaluate various options available. That’s where ethics come into play—the core theme of this collection of stories. We’re not here to tell you what’s right or wrong; instead, we want to spark conversations about these topics. Ethics can be quite personal, but that doesn’t mean you have to tackle these decisions alone. By sharing experiences and discussing challenges, we can support each other and make better choices together.This collection of stories is part of a bigger two-year project that looks at how animal-assisted interventions affect the well-being of dogs. The research comes from the Human-Animal Interactions research group at Aeres University of Applied Sciences in Dronten, working alongside partners in the field, and was co-funded by the Regieorgaan SIA (Taskforce for Applied Research SIA), which is part of the Dutch Research Council (NWO). If you want to learn more about this research, check out the Human-Animal Interactions research group’s website.
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Abstract Background: Nurses are consistently present throughout the rehabilitation of older patients but are apprehensive about performing goal-centred care in the multidisciplinary team. Objectives: The aim of this review was to explore working interventions on setting goals and working with goals designed for nurses in geriatric rehabilitation, and to describe their distinctive features. Methods: We performed a scoping review. We searched MEDLINE and CINAHL through August 4, 2021. Search terms related to the following themes: nurses, rehabilitation, geriatric, goal and method. We used snowballing to find additional. From the selected studies, we systematically extracted data on means, materials and the nursing role and summarized them in a narrative synthesis, using intervention component analysis. Results: The study includes 13 articles, describing 11 interventions which were developed for six different aims: improving multidisciplinary team care; increasing patient centredness; improving disease management by patients; improving the psychological, and emotional rehabilitation; increasing the nursing involvement in rehabilitation; or helping patients to achieve goals. The interventions appeal to four aspects of the nursing profession: assessing self-care skills incorporating patient's preferences; setting goals with patients, taking into account personal needs and what is medically advisable; linking the needs of the patient with multidisciplinary professional treatment and vice versa; and thus, playing an intermediate role and supporting goal achievement. Conclusions: The interventions show that in goal-centred care, the nurse might play an important unifying role between patients and the multidisciplinary team. With the support of nurses, the patient may become more aware of the rehabilitation process and transfer of ownership of treatment goals from the multidisciplinary team to the patient might be achieved. Not many interventions were found meant to support thenursing role. This may indicate a blind spot in the rehabilitation community to the additional value of its contribution.
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Little is known about effective nursing interventions for adolescents with anorexia nervosa. The purpose of this study was to discover which aspects of nursing care are most effective, according to nurses, in recovery of normal body weight in adolescents with anorexia nervosa. METHODS: A qualitative descriptive research design was applied with individual in-depth interviews and a focus group. Thematic analysis was used to analyze the data. FINDINGS: Nurses state that they are in a key position in guiding patients with anorexia nervosa toward a path of weight recovery.A good therapeutic relationship is essential to the implementation of targeted nursing interventions in the areas of eating and exercising, social support, and parent counseling. CONCLUSIONS: The results of this research can be used to define more detailed nursing interventions, the effectiveness of which can be tested in follow-up research.
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This article is about the effect of local tailored interventions to counter (violent) extremism, and therefore contributes to the academic and policy debates. It focusses on local, professional perspectives on person-specific interventions utilising a Dutch case study as the basis. The interventions are part of the wider-ranging counter terrorism policy that entails (local) measures that are deployed in relation to designated high-risk individuals and groups. By reviewing policy documents and conducting semi-structured interviews, the exploratory study concludes that the key factors for a hand-tailored intervention are a solid network, expert knowledge to assess potential signs of extremist ideology, an awareness of not having too many concurrent measures, good inter-institutional cooperation and information-sharing. The professionals involved felt that person-specific interventions have contributed to reducing the threat of religious extremism in the Netherlands. Nonetheless, municipal officials and security agents emphasised the importance of setting realistic goals and a focus on preventive rather than repressive measures. Furthermore, despite the central role that municipal actors play, they run up against problems such as cooperation within the security and care sector. National entities appear to emphasize information-gathering and monitoring more than community-focused cooperation. Thereby questioning whether, on the national level, local professionals are perceived as playing a key role in dealing with extremism.
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Introduction: Many adults do not reach the recommended physical activity (PA) guidelines, which can lead to serious health problems. A promising method to increase PA is the use of smartphone PA applications. However, despite the development and evaluation of multiple PA apps, it remains unclear how to develop and design engaging and effective PA apps. Furthermore, little is known on ways to harness the potential of artificial intelligence for developing personalized apps. In this paper, we describe the design and development of the Playful data-driven Active Urban Living (PAUL): a personalized PA application.Methods: The two-phased development process of the PAUL apps rests on principles from the behavior change model; the Integrate, Design, Assess, and Share (IDEAS) framework; and the behavioral intervention technology (BIT) model. During the first phase, we explored whether location-specific information on performing PA in the built environment is an enhancement to a PA app. During the second phase, the other modules of the app were developed. To this end, we first build the theoretical foundation for the PAUL intervention by performing a literature study. Next, a focus group study was performed to translate the theoretical foundations and the needs and wishes in a set of user requirements. Since the participants indicated the need for reminders at a for-them-relevant moment, we developed a self-learning module for the timing of the reminders. To initialize this module, a data-mining study was performed with historical running data to determine good situations for running.Results: The results of these studies informed the design of a personalized mobile health (mHealth) application for running, walking, and performing strength exercises. The app is implemented as a set of modules based on the persuasive strategies “monitoring of behavior,” “feedback,” “goal setting,” “reminders,” “rewards,” and “providing instruction.” An architecture was set up consisting of a smartphone app for the user, a back-end server for storage and adaptivity, and a research portal to provide access to the research team.Conclusions: The interdisciplinary research encompassing psychology, human movement sciences, computer science, and artificial intelligence has led to a theoretically and empirically driven leisure time PA application. In the current phase, the feasibility of the PAUL app is being assessed.
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Abstract: Combined lifestyle interventions (CLI) are focused on guiding clients with weight-related health risks into a healthy lifestyle. CLIs are most often delivered through face-to-face sessions with limited use of eHealth technologies. To integrate eHealth into existing CLIs, it is important to identify how behavior change techniques are being used by health professionals in the online and offline treatment of overweight clients. Therefore, we conducted online semi-structured interviews with providers of online and offline lifestyle interventions. Data were analyzed using an inductive thematic approach. Thirty-eight professionals with (n = 23) and without (n = 15) eHealth experience were interviewed. Professionals indicate that goal setting and action planning, providing feedback and monitoring, facilitating social support, and shaping knowledge are of high value to improve physical activity and eating behaviors. These findings suggest that it may be beneficial to use monitoring devices combined with video consultations to provide just-in-time feedback based on the client’s actual performance. In addition, it can be useful to incorporate specific social support functions allowing CLI clients to interact with each other. Lastly, our results indicate that online modules can be used to enhance knowledge about health consequences of unhealthy behavior in clients with weight-related health risks.
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