A New Method for Structured Integration of User Needs in Two Health Technology Development Projects: Action Sheets.

An early integration of users and stakeholders is needed for a successful innovation process. Nonetheless, the integration of users is often hard to realize - especially when dealing with persons with chronic diseases. In addition, patients or users in general often are not able to formulate the requirements in a technical manner. Therefore, even if user requirements are collected, it is not certain that the developers know or understand 'what is really wanted'. To overcome these 'gaps', we have developed so-called Action Sheets (AS). This article presents the use of AS in two projects: the development of health technologies for people with cancer (INFOPAT) and dementia (QuartrBack). Depending on the project context, group sessions were conducted with different stakeholders to identify the needs of (potential) users. Within the INFOPAT project, ten focus groups were conducted with patients, physicians and other healthcare professionals. In QuartrBack stakeholders like e.g. care professionals, technical assistance organizations and citizens participated in two focus groups and three world cafés. Their requirements were then 'fed' into the technology development by the use of AS. AS appear to be a promising tool to make user needs based on social values more tangible and implementable into technology development processes. In addition, it shows up that four phases seem to be necessary for transferring identified user and stakeholder needs into AS, which can therefore be seen as essential to translate non-technically formulated requirements into technically feasible ones. The case study shows as lessons learned that despite the successful integration of user needs, context-sensitive adjustments are still necessary.

Home-based system for physical activity monitoring in patients with multiple sclerosis (Pilot study).

BACKGROUND: Limitations in physical activity are considered as a key problem in patients with multiple sclerosis (PwMS). Contemporary methods to assess the level of physical activity in PwMS are regular clinical observation. However, these methods either rely on high recall and accurate reporting from the patients (e.g. self-report questionnaires), or they are conducted during a particular clinical assessment with predefined activities. Therefore, the main aim of this pilot study was to develop an objective method to gather information about the real type and intensity of daily activities performed by PwMS in every-day living situations using an accelerometer. Furthermore, the accelerometer-derived measures are investigated regarding their potential for discriminating between different MS groups. METHODS: Eleven PwMS that were able to walk independently (EDSS ≤ 5) were divided into two groups: mild disability (EDSS 1-2.5; n = 6) and moderate disability (EDSS 3 -5; n = 5). Participants made use of an activity monitor device attached to their waist during their normal daily activities over 4 measurements. Activity parameters were assessed and compared for the time of each participant's first measurement and follow-up measurement. Furthermore, differences between both subgroups, and the correlation of activity parameters with the clinical neurological variable (EDSS) were investigated. RESULTS: Participants showed significant decline in step count (p = 0.008), maximum walking speed (p = 0.02) and physical activity intensity (p = 0.03) throughout the study period. Compared to the mild subgroup, moderate affected participant accumulated less number of steps (G1: 9214.33 ± 2439.11, G2: 5018.13 ± 2416.96; p < 0.005) and were slower (G1: 1.48 ± 0.19, G2: 1.12 ± 0.44; p = 0.03). Additionally, the EDSS correlated negatively with mean walking speed (r = - 0.71, p = 0.01) and steps count (r = - 0.54, p = 0.08). CONCLUSIONS: In this study, we used a portable activity monitoring sensor to gather information about everyday physical activity in PwMS at home. We showed that objective measurements using simple 3D accelerometers can track daily physical activity fluctuation. Furthermore, they track disability changes better than clinical measures. Thus, they can help to develop activity based treatments for PwMS.