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Journal articles · 2022

A data-driven validation of mobile-based care (mCARE) project for children with ASD in LMICs

Masud Rabbani, Munirul M. Haque, Dipranjan Das Dipal, Md Ishrak Islam Zarif, Anik Iqbal, Amy Schwichtenberg, Naveen Bansal, Tanjir Rashid Soron, Syed Ishtiaque Ahmed, Sheikh Iqbal Ahamed

Smart Health · Volume 26 · Article 100345

Abstract

In this study, we have validated the aims of the NIH project mCARE (mobile-based care for monitoring the milestone and behavioral parameters for children with ASD) by data-driven techniques. This project was developed and deployed for remote monitoring of the data on the development of children with ASD in the remote setting in the Low-and-Middle-Income-Countries (LMICS). mCARE was deployed for two years among 300 children with ASD in Bangladesh’s four specialist autism care centers. Initially, mCARE’s had three aims to monitor the development of children (with ASD) development: (a) develop and deployment the mCARE app, (b) develop and deployment the mCARE data management platform, and (c) increase the ASD knowledge among the caregiver of the children with ASD. In this paper, we will evaluate and describe these three aims based on the two years of data from the mCARE project. After analyzing the data, we can conclude that this mCARE project could apply both the LMICs and developed countries for remote monitoring the children with ASD and increasing collective knowledge among the caregivers.

Publication details

Category
Journal articles
Authors & affiliations
  1. Masud RabbaniUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA
  2. Munirul M. HaqueR.B. Annis School of Engineering, University of Indianapolis, Indianapolis, IN, United States
  3. Dipranjan Das DipalUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA
  4. Md Ishrak Islam ZarifUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA
  5. Anik IqbalUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA
  6. Amy SchwichtenbergCollege of Health and Human Sciences, Purdue University, West Lafayette, IN, United States
  7. Naveen BansalDepartment of Mathematical and Statistical Sciences, Marquette University, Milwaukee, WI, United States
  8. Tanjir Rashid SoronTelepsychiatry Research and Innovation Network Ltd, Dhaka, Bangladesh
  9. Syed Ishtiaque AhmedDepartment of Computer Science, University of Toronto, Toronto, ON, Canada
  10. Sheikh Iqbal AhamedUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA
Venue
Smart Health
Publisher
Elsevier Inc.
Record
Volume 26 · Article 100345
Published
October 13, 2022
Cite this work

Masud Rabbani, Munirul M. Haque, Dipranjan Das Dipal, Md Ishrak Islam Zarif, Anik Iqbal, Amy Schwichtenberg, Naveen Bansal, Tanjir Rashid Soron, Syed Ishtiaque Ahmed, Sheikh Iqbal Ahamed. “A data-driven validation of mobile-based care (mCARE) project for children with ASD in LMICs”. Smart Health, 26, 100345. (2022). https://doi.org/10.1016/j.smhl.2022.100345.

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Plain-language summary

Research takeaway

This analysis evaluates the mCARE project's app, data platform, and caregiver education aims using two years of monitoring data from 300 children with ASD across four care centers in Bangladesh.

Research topics

  • mHealth
  • Mobile-based care
  • Autism spectrum disorder
  • National Institute of Health (NIH)
  • Low-and-Middle-Income-Countries
  • Caregiver satisfaction
  • Public health and home monitoring
  • Healthcare data processing
  • mCARE
  • autism spectrum disorder
  • caregiver reporting
  • longitudinal data

Research context

Explore the connected research focus

Mobile-health AI Autism care & mCARE