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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

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7-246 Visit-PhD-students-LesOranges
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]
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Project team meeting, October 1, 2020. [Photo credit: Dr. Ali Idri]
The project seeks to institute a comprehensive reproductive health services dedicated to refugee women in Morocco including contraception, prenatal/obstetric and postpartum care services. This project is intended to stand upon rigorous scientific studies addressing guidelines and processes of development of solutions to improve the quality of reproductive health services. Moreover, empirical evaluations of the proposed solutions, through case studies, surveys or retrospective evaluations, are planned in order to evaluate their usefulness.

The project aims to:
(1) Develop/evaluate a requirements’ catalogue for pregnancy monitoring mobile Personal Health Records (mPHR) and Electronic Health Records (EHR);
(2) Develop and evaluate a datamining-based intelligent system for the management and prioritization of software requirements according to each stakeholder’s profile (patient, caregiver, etc.);
(3) Use an ISO 25010-based framework for the quality evaluation of pregnancy mPHR and HER; and
(4) Develop and evaluate a set of gamification techniques for contraception and postnatal mobile applications.

Pregnancy monitoring mPHR will be evaluated using quality framework to ensure its overall compliance with the requirements catalogue. In the same vein, a quality framework will be set up for pregnancy EHR and will be used for the quality evaluation of the resulting pregnancy monitoring EHR. Moreover, a requirements’ catalogue for pregnancy monitoring mPHR and EHR will be defined based on the main related software engineering standards and e-Health technology standards. With respect to the requirements prioritization, a Datamining based decision system will be developed and evaluated to set up the appropriate set of requirements for each stakeholder based on their profile. For the contraception and postnatal mobile applications, a set of gamification elements will be incorporated to enhance women’ engagement with the apps. The USG partner of this project will participate to develop the scientifically sound research projects (case-studies, surveys, cross-sectional analyses) that will evaluate the changes in reproductive health outcomes for women who are not seeking pregnancy or maternal and infant outcomes for those who are pregnant/postpartum. Given that the focus of the recent USG-supported research has been in gestational weight gain, the USG partner will also evaluate the diet, physical activity, mood, and infant feeding styles of the refugee women.

Anticipated outcomes of the study will include measuring the compliance of the refugee women with the contraception and postnatal apps along with the mPHR for pregnancy monitoring, in addition to the EHR from the gynecologists, which are considered as measures for the potential of the proposed ICT solution in improving the accessibility and quality of reproductive health services for refugee women. The core quality characteristics to be implemented in an ICT-based reproductive health solution to improve its usability and usefulness will also be measured
 
June-September 2021 project updates  

 As the project is nearing its completion, the research team continues work on their main tasks. The three apps the team has been developing can now be downloaded via Google Play Store by users around the world in three languages (Arabic, French and English): 
 
(1) The Postnatal app Mama&Baby 
(2) The contraception app MyContraception, and 
(3) The Prenatal app MaGrossesse 

Whereas these apps are being used and evaluated by potential Android users, research endeavors will be mostly oriented towards designing an efficient empirical evaluation based on users’ feedback in terms of star-ratings and textual reviews to help the team improve the functional content and user experience of the mobile reproductive healthcare solutions with well-thought out modifications and updates. On the other hand, the developers’ team is expected to commence with building the iOS version of the solutions in order to reach a larger community and receive feedback in double measure for the utmost improvement and potency.

During the reporting period, a revision of the paper titled "Reviewing the Features and Functionalities of Contraception mPHRs" was prepared and submitted to the journal Health Policy and Technology, IF: 1.931, Elsevier.

Conference presentations
(1) Hicham Benbriqa, Ali Idri, Ibtissam Abnane and Khouloud Tabiti, Deep and ensemble Learning based Land Use and Land Cover classification Sun Mar 21 09:21:09 2021 21st International Conference on Computational Science and its Applications, September 13-16, Cagliary, Italy, Proceedings edited by Springer. © Springer Nature Switzerland AG 2021 O. Gervasi et al. (Eds.): ICCSA 2021, LNCS 12951, pp. 588–604, 2021. https://doi.org/10.1007/978-3-030-86970-0_41
(2) Bouchra El Ouassif, Ali Idri and Mohammed Hosni, Investigating Accuracy and Diversity in heterogeneous ensembles for breast cancer classification, 21st International Conference on Computational Science and its Applications, September 13-16, Cagliary, Italy, Proceedings edited by Springer. © Springer Nature Switzerland AG 2021 O. Gervasi et al. (Eds.): ICCSA 2021, LNCS 12950, pp. 263–281, 2021. https://doi.org/10.1007/978-3-030-86960-1_19
(3) Hasnae Zerouaoui, Ali Idri, Fatima Zahrae Nakach et Ranya El Hadri, Breast fine needle cytological classification using deep hybrid architectures, Conference on Computational Science and its Applications, September 13-16, Cagliary, Italy, Proceedings edited by Springer. © Springer Nature Switzerland AG 2021 O. Gervasi et al. (Eds.): ICCSA 2021, LNCS 12950, pp. 186–202, 2021. https://doi.org/10.1007/978-3-030-86960-1_14

Recent publications:
  • Manal Kharbouch, Ali Idri, Taoufiq Rachad, Hassan Alami, Leanne Redman, Youssef Stelate,"MyContraception: an evidence-based contraception mPHR for better contraceptive fit", 9th World Conference on Information Systems and Technologies, AISC 1161, pp. 86–94, 2020. Á. Rocha et al. (Eds.) 
  • Mariam Bachiri, Ali Idri, Taoufik Rachad, Hassan Alami,and Leanne M. Redman, "A Complete Prenatal Solution for a Reproductive Health Unit in Morocco", AISC 1161, pp. 36–43, 2020. Á. Rocha et al. (Eds.) 
  • Manal Kharbouch, Ali Idri, Leanne Redman, Hassan Alami4, José Luis Fernández-Alemán , and Ambrosio Toval, "Software Requirement Catalog on Acceptability, Usability, Internationalization and Sustainability for Contraception mPHRs", ICCSA 2020, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020, 12252 LNCS, pp. 894–905
  • Lamyae Sardi, Ali Idri, Taoufik Rachad, Leanne Redman and Hassan Alami4 , "Gamified e-Health solution to promote postnatal care in Morocco", ICCSA 2020, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020, 12252 LNCS, pp. 931–946
  • Manal Kharbouch, Ali Idri, Taoufik Rachad, Hassan Alami, Leanne Redman, Youssef Stelate, "Mobile Technology for Improved Contraceptive Care In Morocco", Journal of Medicals Systems, Volume 45: 16, 2021
  • Journal of Medical Systems, Springer, IF: 3.058, 
  • 9th World Conference on Information Systems and Technologies, AISC 1161, pp. 86–94, 2020. Á. Rocha et al. (Eds.)
  • ICCSA 2020, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020, 12252 LNCS
Most recently, PEER PI Pr. Ali Idri was ranked amongst the top 2% researchers around the world in all scientific fields according to a study performed by Stanford University (See link to the study here).
 
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