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World Conference on Information Systems and Technologies

WorldCIST 2020: Trends and Innovations in Information Systems and Technologies pp 86–94Cite as

MyContraception: An Evidence-Based Contraception mPHR for Better Contraceptive Fit

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1161))

Abstract

The fulfillment of unmet needs for contraception can help women reach their reproductive goals. It was proven to have a significant impact on reducing the rates of unintended pregnancies, and thereby cut the number of morbidity and mortality resulting from these pregnancies, and improving the lives of women and children in general. Therefore, there is a growing concern worldwide about contraception and women’s knowledge of making an advised-choice about it. In this aspect, an outgrown number of apps are now available providing clinical resources, digital guides, or educational information concerning contraception whether it concerns natural contraception or modern contraception. However, vast amounts of these apps contain inaccurate sexual health facts and non-evidence based information concerning contraception. On these bases, and in respect to the needs of women to effectively prevent unintended pregnancies while conducting a stress-free healthy lifestyle, the World Health Organization (WHO) Medical Eligibility Criteria (MEC) for contraception’s recommendations, and the results and recommendations of a field study conducted in the reproductive health center Les Oranges in Rabat to collect the app’s requirements, we developed an Android app named ‘MyContraception’. Our solution is an evidence-based patient-centered contraceptive app that has been developed in an attempt to facilitate: (1) Seeking evidence-based information along with recommendations concerning the best contraceptive fit (according to one’s medical characteristics, preferences and priorities) helping users make informed decisions about their contraceptive choices. (2) Monitoring one’s own menstrual cycle, fertility window, contraceptive methods usage, and the correlation between these different elements and everyday symptoms in one app. (3) Keeping record of one’s family medical history, medical appointments, analyses, diagnoses, procedures and notes within the same app. In future work, conducting an empirical evaluation of MyContraception solution is intended, to exhaustively examine the effects of this solution in improving the quality of patient-centered contraception care.

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Acknowledgments

This work was conducted within the research project PEER, 7-246 supported by the US Agency for International Development. The authors would like to thank the National Academy of Science, Engineering, and Medicine, and USAID for their support.

Author information

Authors and Affiliations

  1. Software Project Management Research Team, Department of Web and Mobile Engineering, ENSIAS, Mohamed V University in Rabat, Rabat, Morocco

    Manal Kharbouch, Ali Idri, Taoufiq Rachad & Youssef Stelate

  2. CSEHS, University Mohammed VI Polytechnic, Ben Guerir, Morocco

    Ali Idri

  3. Faculty of Medicine, University Mohammed V, Rabat, Morocco

    Hassan Alami

  4. Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA

    Leanne Redman

Authors
  1. Manal Kharbouch
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  2. Ali Idri
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  3. Taoufiq Rachad
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  4. Hassan Alami
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  5. Leanne Redman
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  6. Youssef Stelate
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Corresponding author

Correspondence to Ali Idri .

Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. College of Engineering, The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

  3. FEUP, Universidade do Porto, Porto, Portugal

    Luís Paulo Reis

  4. DIMES, Università della Calabria, Arcavacata, Italy

    Sandra Costanzo

  5. Faculty of Electrical Engineering, University of Montenegro, Podgorica, Montenegro

    Irena Orovic

  6. Universidade Portucalense, Porto, Portugal

    Fernando Moreira

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Kharbouch, M., Idri, A., Rachad, T., Alami, H., Redman, L., Stelate, Y. (2020). MyContraception: An Evidence-Based Contraception mPHR for Better Contraceptive Fit. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S., Orovic, I., Moreira, F. (eds) Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1161. Springer, Cham. https://doi.org/10.1007/978-3-030-45697-9_9

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