Use of smartphone-based remote assessments of multiple sclerosis in Floodlight Open, a global, prospective, open-access study

Multiple sclerosis; Outcomes researchEsclerosis múltiple; Resultados de la investigaciónEsclerosi múltiple; Recerca de resultatsFloodlight Open was a global, open-access, digital-only study designed to understand the drivers and barriers in deployment and use of a smartphone app in a naturalistic setting and broad study population of people with and without multiple sclerosis (MS). The study utilised the Floodlight Open app: a ‘bring-your-own-device’ solution that remotely measures a user’s mood, cognition, hand motor function, and gait and postural stability via smartphone sensor-based tests requiring active user input (‘active tests’). Levels of mobility of study participants (‘life-space measurement’) were passively measured. Study data from these tests were made available via an open-access platform. Data from 1350 participants with self-declared MS and 1133 participants with self-declared non-MS from 17 countries across four continents were included in this report. Overall, MS participants provided active test data for a mean duration of 5.6 weeks or a mean duration of 19 non-consecutive days. This duration increased among MS participants who persisted beyond the first week to a mean of 10.3 weeks or 36.5 non-consecutive days. Passively collected life-space measurement data were generated by MS participants for a mean duration of 9.8 weeks or 50.6 non-consecutive days. This duration increased to 16.3 weeks/85.1 non-consecutive days among MS participants who persisted beyond the first week. Older age, self-declared MS disease status, and clinical supervision as part of concomitant clinical research were all significantly associated with higher persistence of the use of the Floodlight Open app. MS participants performed significantly worse than non-MS participants on four out of seven active tests. The findings from this multinational study inform future research to improve the dynamics of persistence of use of digital monitoring tools and further highlight challenges and opportunities in applying them to support MS clinical care.The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: F. Hoffmann-La Roche Ltd., Basel, Switzerland provided financial support for the study and publication of this manuscript

Dietary resilience in patients with severe COPD at the start of a pulmonary rehabilitation program

Background: COPD may impact food-related activities, such as grocery shopping, cooking, and eating. Decreased food intake may result in an unhealthy diet, and in malnutrition, which is highly prevalent in patients with COPD. Malnutrition is known to negatively impact clinical outcome and quality of life. Aims: In this qualitative study, we aimed to explore strategies used to overcome food-related challenges, ie, dietary resilience, and whether these led to a healthy diet. Furthermore, we aimed to identify the key themes of motivation for dietary resilience in patients with severe COPD. Methods: In October 2015 to April 2016, 12 patients with severe COPD starting a pulmonary rehabilitation program were interviewed. Qualitative description and thematic analysis were performed. Results: All participants mentioned the use of strategies to overcome challenges. Key themes of motivation for dietary resilience were identified as "wanting to be as healthy as possible", "staying independent", and "promoting a sense of continuity and duty". Two out of 12 participants met the criteria for a healthy diet. Conclusion: Our study showed a variety of motivational factors and strategies reported by patients with severe COPD to overcome food-related challenges. However, the majority (n=10) of the participants did not meet the criteria for a healthy diet. The identified key themes can be used to develop education to support patients with severe COPD to improve their diet

Preliminary validity of the Draw a Shape Test for upper extremity assessment in multiple sclerosis

Objective To validate the smartphone sensor-based Draw a Shape Test - a part of the Floodlight Proof-of-Concept app for remotely assessing multiple sclerosis-related upper extremity impairment by tracing six different shapes. Methods People with multiple sclerosis, classified functionally normal/abnormal via their Nine-Hole Peg Test time, and healthy controls participated in a 24-week, nonrandomized study. Spatial (trace accuracy), temporal (mean and variability in linear, angular, and radial drawing velocities, and dwell time ratio), and spatiotemporal features (trace celerity) were cross-sectionally analyzed for correlation with standard clinical and brain magnetic resonance imaging (normalized brain volume and total lesion volume) disease burden measures, and for capacity to differentiate people with multiple sclerosis from healthy controls. Results Data from 69 people with multiple sclerosis and 18 healthy controls were analyzed. Trace accuracy (all shapes), linear velocity variability (circle, figure-of-8, spiral shapes), and radial velocity variability (spiral shape) had a mostly fair/moderate-to-good correlation (|r| = 0.14-0.66) with all disease burden measures. Trace celerity also had mostly fair/moderate-to-good correlation (|r| = 0.18-0.41) with Nine-Hole Peg Test performance, cerebellar functional system score, and brain magnetic resonance imaging. Furthermore, partial correlation analysis related these results to motor impairment. People with multiple sclerosis showed greater drawing velocity variability, though slower mean velocity, than healthy controls. Linear velocity (spiral shape) and angular velocity (circle shape) potentially differentiate functionally normal people with multiple sclerosis from healthy controls. Interpretation The Draw a Shape Test objectively assesses upper extremity impairment and correlates with all disease burden measures, thus aiding multiple sclerosis-related upper extremity impairment characterization