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@ARTICLE{Turna:1032546,
      author       = {Turna, Mehran and Fischer, Jona M. and Senge, Svea and
                      Rathmakers, Robin and Meissner, Thomas and Schneble, Dominik
                      and Narava, Mamaka and Eickhoff, Simon and Dukart, Jürgen},
      title        = {{JT}rack-{EMA}+: {A} {C}ross-platform {E}cological
                      {M}omentary {A}ssessment {A}pplication},
      journal      = {Journal of medical internet research},
      volume       = {27},
      issn         = {1439-4456},
      address      = {Richmond, Va.},
      publisher    = {Healthcare World},
      reportid     = {FZJ-2024-06333},
      pages        = {-},
      year         = {2025},
      abstract     = {BACKGROUND Traditional in-clinic methods of collecting
                      self-reported information are costly, time-consuming,
                      subjective, and often limited in the quality and quantity of
                      observation. However, smartphone-based Ecological Momentary
                      Assessments (EMA) provide complementary information to
                      in-clinic visits by collecting real-time, frequent, and
                      longitudinal data that are ecologically valid. While these
                      methods are promising, they are often prone to various
                      technical obstacles. Yet the availability and
                      interoperability with different operating systems (OSs) need
                      to be fully resolved in existing solutions. This shortness
                      increases the selection bias, development and maintenance
                      costs, and time. It also limits the configurability and
                      adoption of existing solutions to new problems. OBJECTIVE
                      The primary aim of this research was to develop a
                      cross-platform EMA application that ensures a uniform user
                      experience and core features across various OSs. Emphasis
                      was placed on minimizing the resources and expenses
                      associated with the development and maintenance and
                      maximizing the integration and adaptability in various
                      clinical trials, all while maintaining strict adherence to
                      security and privacy protocols. JTrack EMA+ was designed and
                      implemented in accordance with the FAIR principles
                      (findable, accessible, interpretable, and reusable) in both
                      its architecture and data management layers, thereby
                      reducing the burden of integration for clinicians and
                      researchers. METHODS "JTrack-EMA+" is built using the
                      Flutter framework, enabling it to run seamlessly across
                      different platforms. This platform comprises two main
                      components. JDash is an online management tool created using
                      Python with the Django framework. This online dashboard
                      offers comprehensive study management tools, including
                      assessment design, user administration, data quality
                      control, and a reminder casting center. And JTrack-EMA+
                      application supports a wide range of question types,
                      allowing flexibility in assessment design. It also has
                      configurable assessment logic and the ability to include
                      supplementary materials for a richer user experience. It
                      strongly commits to security and privacy and complies with
                      the General Data Protection Regulations (GDPR) to safeguard
                      user data and ensure confidentiality. RESULTS We
                      investigated our platform in a pilot study with 480 days of
                      follow-up to assess participants' compliance. The six-month
                      average compliance was $49.34\%,$ significantly declining
                      (P<0.05) from $66.75\%$ in the first month to $42.0\%$ in
                      the sixth month. These results show the potential of using
                      our newly introduced platform in remote and at-home-based
                      EMA assessments. CONCLUSIONS : JTrack EMA+ platform is a
                      pioneer in prioritizing platform-independent architecture
                      that provides an easy entry point for clinical researchers
                      to deploy EMA in their respective clinical studies. Remote
                      and home-based assessments of EMA using this platform can
                      provide valuable insights into patients' daily lives,
                      particularly in a population with limited mobility or
                      inconsistent access to healthcare services.},
      cin          = {INM-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5251},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001416320100002},
      doi          = {10.2196/51689},
      url          = {https://juser.fz-juelich.de/record/1032546},
}