Mobile and tablet apps, ubiquitous and pervasive computing, wearable computing and domotics for health.

Aim: The aim of this study was to describe the experience with commercially available activity trackers embedded in the physiotherapy treatment of patients with a chronic disease. Methods: In a qualitative study, 29 participants with a chronic disease participated. They wore an activity tracker for two to eight weeks. Data were collected using 23 interviews and discussion with 6 participants. A framework analysis was used to analyze the data. Results: The framework analysis resulted in seven categories: purchase, instruction, characteristics, correct functioning, sharing data, privacy, use, and interest in feedback. The standard goal of the activity trackers was experienced as too high, however the tracker still motivated them to be more active. Participants would have liked more guidance from their physiotherapists because they experienced the trackers as complex. Participants experienced some technical failures, are willing to share data with their physiotherapist and, want to spend a maximum of €50,-. Conclusion: The developed framework gives insight into all important concepts from the experiences reported by patients with a chronic disease and can be used to guide further research and practice. Patients with a chronic disease were positive regarding activity trackers in general. When embedded in physiotherapy, more attention should be paid to the integration in treatment.

Due to a lack of transparency in both algorithm and validation methodology, it is difficult for researchers and clinicians to select the appropriate tracker for their application. The aim of this work is to transparently present an adjustable physical activity classification algorithm that discriminates between dynamic, standing, and sedentary behavior. By means of easily adjustable parameters, the algorithm performance can be optimized for applications using different target populations and locations for tracker wear. Concerning an elderly target population with a tracker worn on the upper leg, the algorithm is optimized and validated under simulated free-living conditions. The fixed activity protocol (FAP) is performed by 20 participants; the simulated free-living protocol (SFP) involves another 20. Data segmentation window size and amount of physical activity threshold are optimized. The sensor orientation threshold does not vary. The validation of the algorithm is performed on 10 participants who perform the FAP and on 10 participants who perform the SFP. Percentage error (PE) and absolute percentage error (APE) are used to assess the algorithm performance. Standing and sedentary behavior are classified within acceptable limits (±10% error) both under fixed and simulated free-living conditions. Dynamic behavior is within acceptable limits under fixed conditions but has some limitations under simulated free-living conditions. We propose that this approach should be adopted by developers of activity trackers to facilitate the activity tracker selection process for researchers and clinicians. Furthermore, we are convinced that the adjustable algorithm potentially could contribute to the fast realization of new applications.

Despite the increased use of activity trackers, little is known about how they can be used in healthcare settings. This study aimed to support healthcare professionals and patients with embedding an activity tracker in the daily clinical practice of a specialized mental healthcare center and gaining knowledge about the implementation process. An action research design was used to let healthcare professionals and patients learn about how and when they can use an activity tracker. Data collection was performed in the specialized center with audio recordings of conversations during therapy, reflection sessions with the therapists, and semi-structured interviews with the patients. Analyses were performed by directed content analyses. Twenty-eight conversations during therapy, four reflection sessions, and eleven interviews were recorded. Both healthcare professionals and patients were positive about the use of activity trackers and experienced it as an added value. Therapists formulated exclusion criteria for patients, a flowchart on when to use the activity tracker, defined goals, and guidance on how to discuss (the data of) the activity tracker. The action research approach was helpful to allow therapists to learn and reflect with each other and embed the activity trackers into their clinical practice at a specialized mental healthcare center.

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, t...

Background: Chronic pain is a widespread global health problem. Interdisciplinary multimodal pain treatment (IMPT) is a treatment option for people with chronic pain. Virtual reality (VR) could be used to broaden IMPT programs. However, despite the advantages of VR, it is rarely used in daily clinical practice. Objective: This research aimed to explore how, when, and with whom VR can be used meaningfully during IMPT, either as an addition or substitution as a component of IMPT. Methods: This research used an action research design to help health care professionals and patients learn how, when, and with whom they can use VR. Data were collected through reflection sessions with health care professionals and semistructured interviews with patients in 2 specialized centers that provide IMPT for chronic pain. Two researchers performed direct content analyses. Results: In total, 4 physiotherapists, 1 occupational therapist, 3 psychologists, and 22 patients participated in this research. Three iteration cycles, including 9 reflection sessions and 8 semistructured interviews, were performed. Both health care professionals and patients considered VR to be useful in therapy as an addition but not a substitution. VR was used as a diagnostic and intervention tool with all patients at the rehabilitation center or home. VR was used to gain insight into patients’ pain beliefs, cognitions, and irrational cognitions about additional damage and physical abilities. Considering VR as an intervention tool, the health care professionals had 3 goals: balancing relaxation and competition, grading activities, and exposure in vivo. Conclusions: VR could be a valuable addition to IMPT for both patients with chronic pain and health care professionals. More research should be performed to assess the additional effects of VR on patients’ participation in daily life.