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@ARTICLE{GrobeEinsler:279196,
      author       = {Grobe-Einsler, Marcus and Gerdes, Anna and Feige, Tim and
                      Maas, Vivian and Matthews, Clare and Mendoza García,
                      Alejandro and Comas Fages, Laia and Haf Davies, Elin and
                      Klockgether, Thomas and Falkenburger, Björn H},
      title        = {{F}easibility of an {A}pp-{A}ssisted and {H}ome-{B}ased
                      {V}ideo {V}ersion of the {T}imed {U}p and {G}o {T}est for
                      {P}atients with {P}arkinson {D}isease: v{TUG}.},
      journal      = {Journal of Clinical Medicine},
      volume       = {14},
      number       = {11},
      issn         = {2077-0383},
      address      = {Basel},
      publisher    = {MDPI},
      reportid     = {DZNE-2025-00724},
      pages        = {3769},
      year         = {2025},
      abstract     = {Background: Parkinson Disease (PD) is a progressive
                      neurodegenerative disorder. Current therapeutic trials
                      investigate treatments that can potentially modify the
                      disease course. Testing their efficiency requires outcome
                      assessments that are relevant to patients' daily lives,
                      which include gait and balance. Home-based examinations may
                      enhance patient compliance and, in addition, produce more
                      reliable results by assessing patients more regularly in
                      their familiar surroundings. Objective: The objective of
                      this pilot study was to assess the feasibility of a
                      home-based outcome assessment designed to video record the
                      Timed up and Go (vTUG) test via a study-specific smartphone
                      app for patients with PD. Methods: 28 patients were
                      recruited and asked to perform at home each week a set of
                      three consecutive vTUG tests, over a period of 12 weeks
                      using an app. The videos were subjected to a manual review
                      to ascertain the durations of the individual vTUG phases, as
                      well as to identify any errors or deviations in the setup
                      that might have influenced the result. To evaluate the
                      usability and user-friendliness of the vTUG and app, the
                      System Usability Scale (SUS) and User Experience
                      Questionnaire (UEQ) were administered to patients at the
                      study end. Results: 19 patients completed the 12-week study,
                      17 of which recorded 10 videos or more. A total of 706 vTUGs
                      with complete timings were recorded. Random Forest
                      Regression yielded 'time to walk up' as the most important
                      segment of the vTUG for predicting the total time. Variance
                      of vTUG total time was significantly higher between weeks
                      than it was between the three consecutive vTUGs at one time
                      point [F(254,23) = 6.50, p < 0.001]. The correlation between
                      vTUG total time and UPDRS III total score was weak (r =
                      0.24). The correlation between vTUG and a derived gait
                      subscore (UPDRS III items 9-13) was moderate (r = 0.59). A
                      linear mixed-effects model revealed a significant effect of
                      patient-reported motion status on vTUG total time. Including
                      additional variables such as UPDRS III gait subscore,
                      footwear and chairs used further improved the model fit.
                      Conclusions: Assessment of gait and balance by home-based
                      vTUG is feasible. Factors influencing the read-out were
                      identified and could be better controlled for future use and
                      longitudinal trials.},
      keywords     = {digital biomarkers (Other) / home monitoring (Other) /
                      motor assessments (Other)},
      cin          = {AG Falkenburger / Clinical Research (Bonn) / Clinical
                      Research Platform (CRP) / Patient Studies (Bonn)},
      ddc          = {610},
      cid          = {I:(DE-2719)1710012 / I:(DE-2719)1011001 /
                      I:(DE-2719)1011401 / I:(DE-2719)1011101},
      pnm          = {353 - Clinical and Health Care Research (POF4-353)},
      pid          = {G:(DE-HGF)POF4-353},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40507531},
      pmc          = {pmc:PMC12156941},
      doi          = {10.3390/jcm14113769},
      url          = {https://pub.dzne.de/record/279196},
}