Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Previously submitted to: Journal of Medical Internet Research (no longer under consideration since Oct 28, 2020)

Date Submitted: Jun 7, 2020

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

SCHeLTI Platform: an Intervention Support System Tailored for a Randomized Controlled Trial

  • Yanhui Hao; 
  • Yanting Wu; 
  • Zhirou Chen; 
  • Jianxia Fan; 
  • Lei Chen; 
  • Yamei Yu; 
  • Han Liu; 
  • Caroline Vaillancourt; 
  • Yulai Zhou; 
  • Lulu Wang; 
  • Liping Wang; 
  • Jian Xu; 
  • Hong Li; 
  • Hong Li; 
  • Nadia Abdelouahab; 
  • Isabelle Marc; 
  • William Fraser; 
  • Hefeng Huang

ABSTRACT

Background:

With the rapid development of eHealth technologies, the convenient exchange of health-related electronic data can promote interactive exchange of information between healthcare providers (HCPs) and patients, making the communication between doctors and patients more coordinated and transparent. The Sino-Canada Healthy Life Trajectories Initiative (SCHeLTI) study is an ongoing randomized controlled trial to evaluate the effectiveness of a multifaceted, community-family-mother-child intervention on childhood overweight and obesity (OWO). A management system to support the SCHeLTI interventions needs to be developed.

Objective:

Considering the need for a supporting system to facilitate the implementation of interventions and the exchange of information between HCPs and participants, the SCHeLTI platform was designed and developed with the aim to facilitate the context-specific interventions in the SCHeLTI study.

Methods:

We tailored the SCHeLTI platform to the specifics of the SCHeLTI study. Multiple professional background experts were involved in the process of building the application, including the participation of personnel with medical professional background, clinical trials coordination and computer science. In the pilot phase, we collected feedback from HCPs and participants in the use process to further optimize the product.

Results:

The SCHeLTI platform includes the interworking and interconnection between the participants' mobile phone and the HCP's computers. A mobile application and a Web based management system were designed. The participant's terminal (the SCHeLTI APP) was successfully implemented and fully integrated into the intervention programme. The computer terminal managed by the research team create an innovative support environment that guides the participants toward healthy lifestyle changes.

Conclusions:

A technically advanced and web-based management terminal and mobile phone app corresponding to the SCHeLTI needs were developed and used in the SCHeLTI study. Clinical Trial: trial registration No. ChiCTR1800017773


 Citation

Please cite as:

Hao Y, Wu Y, Chen Z, Fan J, Chen L, Yu Y, Liu H, Vaillancourt C, Zhou Y, Wang L, Wang L, Xu J, Li H, Li H, Abdelouahab N, Marc I, Fraser W, Huang H

SCHeLTI Platform: an Intervention Support System Tailored for a Randomized Controlled Trial

JMIR Preprints. 07/06/2020:21187

DOI: 10.2196/preprints.21187

URL: https://preprints.jmir.org/preprint/21187

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.