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  1. Article ; Online: A Sensor-Based Feedback Device Stimulating Daily Life Upper Extremity Activity in Stroke Patients: A Feasibility Study.

    Langerak, Anthonia J / Regterschot, Gerrit Ruben Hendrik / Evers, Marc / van Beijnum, Bert-Jan F / Meskers, Carel G M / Selles, Ruud W / Ribbers, Gerard M / Bussmann, Johannes B J

    Sensors (Basel, Switzerland)

    2023  Volume 23, Issue 13

    Abstract: This study aims to evaluate the feasibility and explore the efficacy of the Arm Activity Tracker (AAT). The AAT is a device based on wrist-worn accelerometers that provides visual and tactile feedback to stimulate daily life upper extremity (UE) activity ...

    Abstract This study aims to evaluate the feasibility and explore the efficacy of the Arm Activity Tracker (AAT). The AAT is a device based on wrist-worn accelerometers that provides visual and tactile feedback to stimulate daily life upper extremity (UE) activity in stroke patients.
    Methods: A randomised, crossover within-subject study was conducted in sub-acute stroke patients admitted to a rehabilitation centre. Feasibility encompassed (1) adherence: the dropout rate and the number of participants with insufficient AAT data collection; (2) acceptance: the technology acceptance model (range: 7-112) and (3) usability: the system usability scale (range: 0-100). A two-way ANOVA was used to estimate the difference between the baseline, intervention and control conditions for (1) paretic UE activity and (2) UE activity ratio.
    Results: Seventeen stroke patients were included. A 29% dropout rate was observed, and two participants had insufficient data collection. Participants who adhered to the study reported good acceptance (median (IQR): 94 (77-111)) and usability (median (IQR): 77.5 (75-78.5)-). We found small to medium effect sizes favouring the intervention condition for paretic UE activity (η
    Conclusion: Participants who adhered to the study showed good acceptance and usability of the AAT and increased paretic UE activity. Dropouts should be further evaluated, and a sufficiently powered trial should be performed to analyse efficacy.
    MeSH term(s) Humans ; Feasibility Studies ; Feedback ; Stroke Rehabilitation ; Upper Extremity ; Stroke ; Recovery of Function
    Language English
    Publishing date 2023-06-25
    Publishing country Switzerland
    Document type Randomized Controlled Trial ; Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s23135868
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Externally validated model predicting gait independence after stroke showed fair performance and improved after updating.

    Langerak, Anthonia J / McCambridge, Alana B / Stubbs, Peter W / Fabricius, Jesper / Rogers, Kris / Quel de Oliveira, Camila / Nielsen, Jørgen F / Verhagen, Arianne P

    Journal of clinical epidemiology

    2021  Volume 137, Page(s) 73–82

    Abstract: Objective: To externally validate recent prognostic models that predict independent gait following stroke.: Study design and setting: A systematic search identified recent models (<10 years) that predicted independent gait in adult stroke patients, ... ...

    Abstract Objective: To externally validate recent prognostic models that predict independent gait following stroke.
    Study design and setting: A systematic search identified recent models (<10 years) that predicted independent gait in adult stroke patients, using easily obtainable predictors. Predictors from the original models were assigned proxies when required, and model performance was evaluated in the validation cohort (n = 957). Models were updated to determine if performance could be improved.
    Results: Three prognostic models met our criteria, all with high Risk of Bias. Validation data was only available for the Australian model. This model used National Institute of Health Stroke Scale (NIHSS) and age to predict independent gait, using Motor Assessment Scale (MAS) walking item. For validation, Scandinavian Stroke Scale (SSS) was a proxy for NIHSS, and Functional Independence Measure (FIM) locomotion item was a proxy for MAS. The Area Under the Curve was 0.77 (0.74-0.80) and had good calibration in the validation dataset. Adjustment of the intercept and regression coefficients slightly improved discrimination. By adding paretic leg strength, the model further improved (AUC 0.82).
    Conclusion: External validation of the Australian model with proxies showed fair discrimination and good calibration. Updating the model by adding paretic leg strength further improved model performance.
    MeSH term(s) Aged ; Aged, 80 and over ; Female ; Gait ; Humans ; Male ; Middle Aged ; Models, Statistical ; Prognosis ; Stroke/physiopathology
    Language English
    Publishing date 2021-03-31
    Publishing country United States
    Document type Journal Article ; Validation Study
    ZDB-ID 639306-8
    ISSN 1878-5921 ; 0895-4356
    ISSN (online) 1878-5921
    ISSN 0895-4356
    DOI 10.1016/j.jclinepi.2021.03.022
    Database MEDical Literature Analysis and Retrieval System OnLINE

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