Towards Developing A Mobile-Based Care for Children with Autism Spectrum Disorder (mCARE) in low and Middle-Income Countries (LMICs) Like Bangladesh
Munirul M. Haque, Dipranjan Das, Masud Rabbani, Md Ishrak Islam Zarif, Anik Iqbal, Shaheen Akhter, Shahana Parveen, Mohammad Asaduzzaman Rasel, Basana Rani Muhuri, Tanjir Rashid Soron, Syed Ishtiaque Ahmed, Sheikh Iqbal Ahamed
Abstract
This paper describes a mobile-based care system (mCARE), which is a novel tool to routinely and systematically collect behavior and developmental parameter children with Autism Spectrum Disorder (ASD) from the low-and middle-income countries (LMICs) like Bangladesh. It is the first clinical decision support system for the ASD children in LMICs that has been proved efficient to assist them in data-driven decision making by using a remote Experience Sampling Method (ESM). Unlike other ESM, instead of taking a report from patients, mCARE introduce caregivers as the reporter. mCARE has deployed Value Sensitive Design (VSD) and Human-Computer Interaction (HCI) in its design process as well as Fogg's Behavior Model (FBM) to assist caregivers in developing and sustain the habit of logging data regularly over a long period. mCARE has accumulated its goal by implementing three tools: mCARE-APP, mCARE-SMS, and mCARE-DMP. The successful completion of the project using this mCARE can ensure the overall quality of care (QoC) of ASD in LMICs, including Bangladesh. The usability and cost-benefit analysis have also shown the potential of mCARE to be scaled to serve a large population in Bangladesh and beyond.