Background: Typing on smartphones, which has become a near daily activity, requires both upper limb and cognitive function. Analysis of keyboard interactions during regular typing, that is, keystroke dynamics, could therefore potentially be utilized for passive and continuous monitoring of function in patients with multiple sclerosis. Objective: To determine whether passively acquired smartphone keystroke dynamics correspond to multiple sclerosis outcomes, we investigated the association between keystroke dynamics and clinical outcomes (upper limb and cognitive function). This association was investigated longitudinally in order to study within-patient changes independently of between-patient differences. Methods: During a 1-year follow-up, arm function and information processing speed were assessed every 3 months in 102 patients with multiple sclerosis with the Nine-Hole Peg Test and Symbol Digit Modalities Test, respectively. Keystroke-dynamics data were continuously obtained from regular typing on the participants’ own smartphones. Press-and-release latency of the alphanumeric keys constituted the fine motor score cluster, while latency of the punctuation and backspace keys constituted the cognition score cluster. The association over time between keystroke clusters and the corresponding clinical outcomes was assessed with linear mixed models with subjects as random intercepts. By centering around the mean and calculating deviation scores within subjects, between-subject and within-subject effects were distinguished. Results: Mean (SD) scores for the fine motor score cluster and cognition score cluster were 0.43 (0.16) and 0.94 (0.41) seconds, respectively. The fine motor score cluster was significantly associated with the Nine-Hole Peg Test: between-subject β was 15.9 (95% CI 12.2-19.6) and within-subject β was 6.9 (95% CI 2.0-11.9). The cognition score cluster was significantly associated with the Symbol Digit Modalities Test between subjects (between-subject β –11.2, 95% CI –17.3 to –5.2) but not within subjects (within-subject β –0.4, 95% CI –5.6 to 4.9). Conclusions: Smartphone keystroke dynamics were longitudinally associated with multiple sclerosis outcomes. Worse arm function corresponded with longer latency in typing both across and within patients. Worse processing speed corresponded with higher latency in using punctuation and backspace keys across subjects. Hence, keystroke dynamics are a potential digital biomarker for remote monitoring and predicting clinical outcomes in patients with multiple sclerosis. Trial Registration: Netherlands Trial Register NTR7268; https://trialsearch.who.int/Trial2.aspx?TrialID=NTR7268

Background: Self-monitoring of physical activity (PA) using an accelerometer is a promising intervention to stimulate PA after hospital discharge. Objective: This study aimed to evaluate the feasibility of PA self-monitoring after discharge in patients who have undergone gastrointestinal or lung cancer surgery. Methods: A mixed methods study was conducted in which 41 patients with cancer scheduled for lobectomy, esophageal resection, or hyperthermic intraperitoneal chemotherapy were included. Preoperatively, patients received an ankle-worn accelerometer and the corresponding mobile health app to familiarize themselves with its use. The use was continued for up to 6 weeks after surgery. Feasibility criteria related to the study procedures, the System Usability Scale, and user experiences were established. In addition, 6 patients were selected to participate in semistructured interviews. Results: The percentage of patients willing to participate in the study (68/90, 76%) and the final participation rate (57/90, 63%) were considered good. The retention rate was acceptable (41/57, 72%), whereas the rate of missing accelerometer data was relatively high (31%). The mean System Usability Scale score was good (77.3). Interviewed patients mentioned that the accelerometer and app were easy to use, motivated them to be more physically active, and provided postdischarge support. The technical shortcomings and comfort of the ankle straps should be improved. Conclusions: Self-monitoring of PA after discharge appears to be feasible based on good system usability and predominantly positive user experiences in patients with cancer after lobectomy, esophageal resection, or hyperthermic intraperitoneal chemotherapy. Solving technical problems and improving the comfort of the ankle strap may reduce the number of dropouts and missing data in clinical use and follow-up studies.

Aim To examine the most relevant aspects of functioning of adults with cerebral palsy (CP) from their perspective, in order to develop an International Classification of Functioning, Disability and Health (ICF) Core Set for adults with CP. Method We conducted six focus group discussions with adults with CP without intellectual disability and seven interviews with adults with CP with intellectual disability and caregivers, addressing all ICF components. Meaningful concepts were identified from verbatim transcripts and linked to ICF categories by two independent researchers. Results In total, 31 adults with CP without intellectual disability (mean [SD] age 46y 1mo [14y 1mo]; 20 females, 11 males; Gross Motor Function Classification System [GMFCS] levels I–IV) and seven adults with CP and intellectual disability (mean [SD] age 25y 8mo [6y 8mo]; four females, three males; GMFCS levels III–V) participated. We identified 132 unique second‐level categories: 47 body functions, seven body structures, 43 activities and participation, and 35 environmental factors. The most frequently mentioned categories were emotional function, pain, muscle tone function, support of family, products and technology, and health services. Interpretation Adults with CP experienced problems in a broad range of body functions and activities and indicated the importance of environmental factors for functioning. The identified categories will be added to the list of candidate items to reach consensus on an ICF Core Set for adults with CP.

To synthesize evidence on the effect of early post-stroke spasticity interventions. Systematic literature search (PubMed, Embase, and Web of Science) encompassing studies on spasticity reducing interventions within 3 months post stroke on outcome defined within the International Classification of Functioning (ICF). In total, 27 studies were identified with n = 1.658 cases. Botulinum toxin (2-12 weeks; 10 studies, n = 794) showed consistent and significant reduced spasticity by Modified Ashworth Scale (MAS) or electromyography (EMG). Electrical muscle stimulation (1-8 weeks; 6 studies, n = 335) showed lower MAS/Composite Spasticity Scale scores in 4 studies. Transcranial stimulation (3 studies; n = 131), oral spasmolytics (1 study; n = 38), shockwave (1 study; n = 40), orthotics (3 studies; n = 197 and robot-assisted therapy (3 studies; n = 123) showed inconclusive results. Effects on ICF activity domain could not be established due to limited data and large outcome measures heterogeneity. One out of two studies showed significant benefit for early compared to late BoNT intervention (< 90 vs> 90 days). This study provides evidence for early applied (<3 months) BoNT to effectively reduce spasticity and probable effectiveness of electrical stimulation. Establishing effects of interventions in the acute/hospitalization phase (<7 days) needs further work, specifically on the ICF activity domain. Standardization of outcome measures is required.

Purpose: The construct validity, test–retest reliability, and measurement error of the Arm Function in Multiple Sclerosis Questionnaire (AMSQ) were examined. Additionally, the influence of administration-method on reliability and measurement error was investigated. Method: 112 Dutch adult MS-patients from an academic- and a residential care-facility participated. Questionnaires were administered on paper, online or as interview, and patients performed several performance tests. Construct validity was assessed by testing pre-defined hypotheses. Reliability was assessed using Intraclass Correlation Coefficients (ICCs), Standard Error of Measurements (SEMs) and Smallest Detectable Changes (SDCs). Results: For construct validity (N = 105) 9 of 13 hypotheses were confirmed (69%). As expected, the AMSQ showed moderate to strong relationships with the instruments measuring similar constructs. The test–retest reliability coefficient was 0.96 (95% Confidence Interval 0.94–0.97); SEM was 6.3 (6.3% of scale range); SDC was 17.5 (on a sale from 0 to 100). Different administration-methods showed good reliability (ICC 0.88–0.94) and small standard errors (SEM 5.6–7.2). Conclusion: The AMSQ shows satisfying results for validity and excellent reliability; allowing for proper use in research. Due to a large SDC value, caution is needed when using the AMSQ in individual patient care. Further research should determine whether the SDC is smaller than the minimal important change.