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@ARTICLE{SahandiFar:1022017,
      author       = {Sahandi Far, Mehran and Fischer, Jona Marcus 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 ({P}reprint)},
      reportid     = {FZJ-2024-01154},
      year         = {2023},
      abstract     = {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.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."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.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.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},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5254 - Neuroscientific Data Analytics and AI (POF4-525) /
                      5251 - Multilevel Brain Organization and Variability
                      (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5254 / G:(DE-HGF)POF4-5251},
      typ          = {PUB:(DE-HGF)25},
      doi          = {10.2196/preprints.51689},
      url          = {https://juser.fz-juelich.de/record/1022017},
}