Project 7-246 Morocco

PARTNERSHIPS FOR ENHANCED ENGAGEMENT IN RESEARCH (PEER)
Cycle 7 (2018 Deadline)

Facilitating access to reproductive health services for refugee women in Morocco

PI: Ali Idri (ali.idri@um5.ac.ma), Ecole Nationale Superieure d'Informatique et d'Analyse des Systemes (ENSIAS-UMV), University of Mohammed V in Rabat
U.S. Partner: Leanne M. Redman, Pennington Biomedical Research Center
Dates: January 2019 - December 2022

Project Overview

Project team members Mariam Bachiri (Ph.D. student), Lamyae Sardi (Ph.D. student), Manal Kharbouch (Master student) visit the reproductive health centre Les Oranges in Rabat to collect the requirements for the apps [Photo credit: Dr. Ali Idri]

Project team meeting, October 1, 2020. [Photo credit: Dr. Ali Idri]

TThe PEER project sought to improve comprehensive reproductive health services dedicated to refugee women in Morocco, including contraception, prenatal/obstetric, and postpartum care services. The researchers developed and evaluated pregnancy monitoring mobile Personal Health Records (mPHR) and Electronic Health Records (EHR), as well as a set of gamification techniques for contraception and postnatal mobile applications. They also developed and evaluated a datamining-based intelligent system for the management and prioritization of software requirements according to each stakeholder’s profile (patient, caregiver, etc.) and used an ISO 25010-based framework for the quality evaluation of pregnancy mPHR and HER.

Final Summary of Project Activities

The researchers developed three mobile system apps for both Android and iOS systems in three languages, Arabic, French, and English. The apps, MyContraception, MyPregnancy, and Mama&Baby, were also evaluated by graduate students in the Internet of Things and Web and Mobile Engineering programs. The PEER team collaborated with the reproductive health center, "Les Oranges," at the University Hospital Avicenne in Rabat, to first identify the requirements needed for these apps and then tested them with gynecologists and patients of the center.

The team presented their research at several conferences, including the Artificial Intelligence for Development Conference (AI4D), and published several articles on functionalities, technical features, and software requirements for pregnancy-related public health records. The project also supported two PhD theses, one Master’s thesis, and seven first-year final projects for student researchers at the PI’s institution. One PhD student won a fellowship grant from Microsoft to extend research into breast cancer diagnosis through deep ensemble learning.

Publications

M. Kharbouch, A. Idri, J.L. Fernandez-Aleman, L. Redman, A. Toval, and Y. Stelate. 2022. Reviewing the features and functionalities of contraception mPHRs. Health Policy and Technology 11(3): 100633. https://doi.org/10.1016/j.hlpt.2022.100633

M. Kharbouch, A. Idri, T. Rachad, H. Alami, L. Redman, and Y. Stelate. 2021. Mobile Technology for Improved Contraceptive Care in Morocco. Journal of Medical Systems 45 (2): 16. https://doi.org/10.1007/s10916-020-01684-6

M. Kharbouch, A. Idri, T. Rachad, H. Alami, L. Redman, and Y. Stelate. 2020. MyContraception: An Evidence-Based Contraception mPHR for Better Contraceptive Fit. Advances in Intelligent Systems and Computing 1161 AISC: 86-94. http://dx.doi.org/10.1007/978-3-030-45697-9_9

L. Sardi, A. Idri, L.M. Redman, H. Alami, R. Bezad, and J.L. Fernández-Alemán. 2020.
Mobile health applications for postnatal care: Review and analysis of functionalities and technical features. Computer Methods and Programs in Biomedicine 184: 105114. https://doi.org/10.1016/j.cmpb.2019.105114

L. Sardi, A. Idri, T. Rachad, L. Redman, and H. Alami. 2020. Gamified e-Health Solution to Promote Postnatal Care in Morocco. Lecture Notes in Computer Science 12252 LNCS: 931-946. http://dx.doi.org/10.1007/978-3-030-58811-3_66

M. Kharbouch, A. Idri, L. Redman, H. Alami, J.L. Fernández-Alemán, and A. Toval. 2020.
Software Requirement Catalog on Acceptability, Usability, Internationalization and Sustainability for Contraception mPHRs. Lecture Notes in Computer Science 12252 LNCS: 894-905. http://dx.doi.org/10.1007/978-3-030-58811-3_63

M. Bachiri, A. Idri, T. Rachad, H. Alami, and L.M. Redman. 2020. A Complete Prenatal Solution for a Reproductive Health Unit in Morocco. Advances in Intelligent Systems and Computing 1161 AISC: 36-43. http://dx.doi.org/10.1007/978-3-030-45697-9_4

M. Bachiri, A. Idri, A.M. Abran, L. Redman, and J.L. Fernández-Alemán. 2019. Sizing Prenatal mPHRs using COSMIC Measurement Method. Journal of Medical Systems 43 (10): 319. https://doi.org/10.1007/s10916-019-1446-7

M. Bachiri, A. Idri, L.M. Redman, J.L. Fernandez-Aleman, and A. Toval. 2019. A Requirements Catalog of Mobile Personal Health Records for Prenatal Care. Lecture Notes in Computer Science 11622 LNCS: 483-495. http://dx.doi.org/10.1007/978-3-030-24305-0_36

M. Bachiri, A. Idri, L. Redman, A. Abran, J.M.C. de Gea, and J.L. Fernández-Alemán. 2019.
COSMIC functional size measurement of mobile personal health records for pregnancy monitoring. Advances in Intelligent Systems and Computing 932: 24-33. https://doi.org/10.1007/978-3-030-16187-3_3

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