Background: Clinical measures in multiple sclerosis (MS) face limitations that may be overcome by utilising smartphone keyboard interactions acquired continuously and remotely during regular typing. Objective: The aim of this study was to determine the reliability and validity of keystroke dynamics to assess clinical aspects of MS. Methods: In total, 102 MS patients and 24 controls were included in this observational study. Keyboard interactions were obtained with the Neurokeys keyboard app. Eight timing-related keystroke features were assessed for reliability with intraclass correlation coefficients (ICCs); construct validity by analysing group differences (in fatigue, gadolinium-enhancing lesions on magnetic resonance imaging (MRI), and patients vs controls); and concurrent validity by correlating with disability measures. Results: Reliability was moderate in two (ICC = 0.601 and 0.742) and good to excellent in the remaining six features (ICC = 0.760–0.965). Patients had significantly higher keystroke latencies than controls. Latency between key presses correlated the highest with Expanded Disability Status Scale ( r = 0.407) and latency between key releases with Nine-Hole Peg Test and Symbol Digit Modalities Test (ρ = 0.503 and r = −0.553, respectively), ps < 0.001. Conclusion: Keystroke dynamics were reliable, distinguished patients and controls, and were associated with clinical disability measures. Consequently, keystroke dynamics are a promising valid surrogate marker for clinical disability in MS.
ObjectivesDysfunction after transient ischaemic attack (TIA) and minor stroke is often underestimated by clinical measures. Patient-reported outcome measures used in value-based healthcare may help in detecting these problems. The Patient-Reported Outcomes Measurement Information System 10-Question Short Form (PROMIS-10 Global Health) is a concise patient-centred outcome measuring tool proposed for assessing health status in patients who had stroke. This study aims to address the validity of the Dutch PROMIS-10 in patients who had stroke in the Netherlands and also aims to compare telephone versus on-paper assessment.DesignObservational cohort study.SettingSingle-centre hospital in the Netherlands.Participants75 patients who were diagnosed with TIA or minor stroke and discharged without rehabilitation treatment 1 year ago (between December 2014 and January 2016) completed the study.Primary and secondary outcome measuresPROMIS-10 physical (PH) and mental health (MH) scores assessed 1 year poststroke on paper (n=37) and by telephone (n=38) was compared with RAND-36 physical and mental component scores assessed on paper.ResultsPROMIS-10 and RAND-36 correlated significantly in PH, r=0.81 (95% CI 0.69 to 0.88), and MH, r=0.76 (95% CI 0.64 to 0.85). Paper-and-pencil assessed correlations were r=0.87 and 0.79 for PH and MH, respectively. Telephone assessed correlations were r=0.76 and 0.73 for PH and MH, respectively. Internal consistency analysis indicated high reliabilities for both health components of the PROMIS-10, all Cronbach’s α>0.70.ConclusionsThe Dutch PROMIS-10 was found to strongly correlate with the RAND-36. Paper-and-pencil assessment was found to have a higher correlation than telephone assessment. This study provides support for the use of the Dutch PROMIS-10 in assessing health status in patients after TIA and minor stroke.
Background: Early detection and monitoring of cognitive dysfunction in multiple sclerosis (MS) may be enabled with smartphone-adapted tests that allow frequent measurements in the everyday environment. Objectives: The aim of this study was to determine the reliability, construct and concurrent validity of a smartphone-adapted Symbol Digit Modalities Test (sSDMT). Methods: During a 28-day follow-up, 102 patients with MS and 24 healthy controls (HC) used the MS sherpa® app to perform the sSDMT every 3 days on their own smartphone. Patients performed the Brief International Cognitive Assessment for MS at baseline. Test–retest reliability (intraclass correlation coefficients, ICC), construct validity (group analyses between cognitively impaired (CI), cognitively preserved (CP) and HC for differences) and concurrent validity (correlation coefficients) were assessed. Results: Patients with MS and HC completed an average of 23.2 ( SD = 10.0) and 18.3 ( SD = 10.2) sSDMT, respectively. sSDMT demonstrated high test–retest reliability (ICCs > 0.8) with a smallest detectable change of 7 points. sSDMT scores were different between CI patients, CP patients and HC (all ps < 0.05). sSDMT correlated modestly with the clinical SDMT (highest r = 0.690), verbal (highest r = 0.516) and visuospatial memory (highest r = 0.599). Conclusion: Self-administered smartphone-adapted SDMT scores were reliable and different between patients who were CI, CP and HC and demonstrated concurrent validity in assessing information processing speed.
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