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

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Trends and Innovations in Information Systems and Technologies (WorldCIST 2020)

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

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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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References

  1. Guillebaud, J.: Contraception Today, 9th edn. CRC Press, Boca Raton (2019)

    Book  Google Scholar 

  2. Bonnema, R.A., McNamara, M.C., Spencer, A.L.: Contraception choices in women with underlying medical conditions. Am. Fam. Phys. 82, 621–628 (2010)

    Google Scholar 

  3. Moffat, R., Sartorius, G., Raggi, A., et al.: Consultation de contraception basée sur l’évidence. Forum Médical Suisse – Swiss Med. Forum (2019). https://doi.org/10.4414/fms.2019.08065

    Article  Google Scholar 

  4. World Health Organization (2014) WHO | Unsafe abortion: global and regional estimates of the incidence of unsafe abortion and associated mortality in 2008. WHO. https://doi.org/10.1017/CBO9781107415324.004

  5. Kassahun, E.A., Zeleke, L.B., Dessie, A.A., et al.: Factors associated with unintended pregnancy among women attending antenatal care in Maichew Town, Northern Ethiopia, 2017. BMC Res. Notes 12, 1–6 (2019). https://doi.org/10.1186/s13104-019-4419-5

    Article  Google Scholar 

  6. Gweneth, L.: Pharmacovigilance in pregnancy. In: Doan, T., Renz, C., Bhattacharya, M., Lievano, F., Scarazzini, L. (eds.) Pharmacovigilance: A Practical Approach, 1st edn, p. 228. Elsevier, Amsterdam (2019)

    Google Scholar 

  7. Arbour, M.W., Stec, M.A.: Mobile applications for women’s health and midwifery care: a pocket reference for the 21st century. J. Midwifery Women’s Health (2018). https://doi.org/10.1111/jmwh.12755

    Article  Google Scholar 

  8. Mendes, A.: What’s new in the world of prescribing contraception? Nurse Prescr. 16, 410–411 (2018). https://doi.org/10.12968/npre.2018.16.9.410

    Article  Google Scholar 

  9. Rousseau, F., Da Silva Godineau, S.M., De Casabianca, C., et al.: State of knowledge on smartphone applications concerning contraception: a systematic review. J. Gynecol. Obstet. Hum. Reprod. 48, 83–89 (2019). https://doi.org/10.1016/j.jogoh.2018.11.001

    Article  Google Scholar 

  10. Berglund Scherwitzl, E., Lundberg, O., Kopp Kallner, H., et al.: Perfect-use and typical-use pearl index of a contraceptive mobile app. Contraception 96, 420–425 (2017). https://doi.org/10.1016/j.contraception.2017.08.014

    Article  Google Scholar 

  11. Berglund Scherwitzl, E., Gemzell Danielsson, K., Sellberg, J.A., Scherwitzl, R.: Fertility awareness-based mobile application for contraception. Eur. J. Contracept. Reprod. Health Care 21, 234–241 (2016). https://doi.org/10.3109/13625187.2016.1154143

    Article  Google Scholar 

  12. Malarcher, S., Spieler, J., Fabic, M.S., et al.: Fertility awareness methods: distinctive modern contraceptives. Glob. Health Sci. Pract. 4, 13–15 (2016)

    Article  Google Scholar 

  13. Hubacher, D., Trussell, J.: A definition of modern contraceptive methods. Contraception 92, 420–421 (2015)

    Article  Google Scholar 

  14. Chor, J., Rankin, K., Harwood, B., Handler, A.: Unintended pregnancy and postpartum contraceptive use in women with and without chronic medical disease who experienced a live birth. Contraception 84, 57–63 (2011). https://doi.org/10.1016/j.contraception.2010.11.018

    Article  Google Scholar 

  15. Curtis, K.M., Tepper, N.K., Jatlaoui, T.C., et al.: U.S. medical eligibility criteria for contraceptive use, 2016. MMWR Recomm. Rep. 65, 1–104 (2016). https://doi.org/10.1089/jwh.2011.2851

    Article  Google Scholar 

  16. WHO: Medical Eligibility Criteria for Contraceptive Use, 5th edn. WHO, Geneva (2015)

    Google Scholar 

  17. Daniels, K., Daugherty, J., Jones, J.: Current contraceptive status among women aged 15–44: United States, 2011–2013. NCHS Data Brief 173, 1–8 (2014)

    Google Scholar 

  18. Newman, L.: Apps for health: what does the future hold? Br. J. Midwifery 26, 561 (2018). https://doi.org/10.12968/bjom.2018.26.9.561

  19. International Organization For Standardization ISO: Software Process Improvement Practice. ISO/IEC 25010:34 (2011)

    Google Scholar 

  20. Ouhbi, S., Idri, A., Fern, L.: Applying ISO/IEC 25010 on mobile personal health records. In: 8th International Conference on Health Informatics, pp. 405–412 (2015)

    Google Scholar 

  21. Idri, A., Bachiri, M., Fernández-alemán, J.L., Toval, A.: ISO/IEC 25010 based evaluation of free mobile personal health records for pregnancy monitoring. In: IEEE 41st Annual Computing Software Application Conference, pp. 262–267 (2017)

    Google Scholar 

  22. Idri, A., Sardi, L., Fernández-alemán, J.: Quality evaluation of gamified blood donation apps using ISO/IEC 25010 standard. In: 12th International Conference Health Informatics, pp. 607–614 (2018)

    Google Scholar 

  23. WHO: Selected Practice Recommendations for Contraceptive Use, 3rd edn. WHO, Geneva (2016)

    Google Scholar 

  24. Arbour, M.W., Stec, M.A.: Mobile applications for women’s health and midwifery care: a pocket reference for the 21st century. J. Midwifery Women’s Health 63, 330–334 (2018). https://doi.org/10.1111/jmwh.12755

    Article  Google Scholar 

  25. Tebb, K.P., Trieu, S.L., Rico, R., et al.: A mobile health contraception decision support intervention for Latina adolescents: Implementation evaluation for use in school-based health centers. J. Med. Internet Res. 21 (2019). https://doi.org/10.2196/11163

  26. Sardi, L., Idri, A., Readman, L.M., et al.: Mobile health applications for postnatal care: review and analysis of functionalities and technical features. Comput. Methods Programs Biomed. 184, 1–26 (2020). https://doi.org/10.1016/j.cmpb.2019.105114

    Article  Google Scholar 

  27. Bachiri, M., Idri, A., Redman, L.M., et al.: A requirements catalog of mobile personal health records for prenatal care. In: Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 483–495. Springer (2019)

    Google Scholar 

  28. Bachiri, M., Idri, A., Abran, A., et al.: Sizing prenatal mPHRs using COSMIC measurement method. J. Med. Syst. 43, 1–11 (2019). https://doi.org/10.1007/s10916-019-1446-7

    Article  Google Scholar 

  29. Bachiri, M., Idri, A., Redman, L., et al.: COSMIC functional size measurement of mobile personal health records for pregnancy monitoring. In: Advances in Intelligent Systems and Computing, pp. 24–33. Springer (2019)

    Google Scholar 

  30. Bachiri, M., Idri, A., Fernández-Alemán, J.L., Toval, A.: Evaluating the privacy policies of mobile personal health records for pregnancy monitoring. J. Med. Syst. 42, 1–14 (2018). https://doi.org/10.1007/s10916-018-1002-x

    Article  Google Scholar 

  31. Idri, A., Bachiri, M., Fernández-Alemán, J.L., Toval, A.: Experiment design of free pregnancy monitoring mobile personal health records quality evaluation. In: 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services, Healthcom 2016. Institute of Electrical and Electronics Engineers Inc., pp. 1–6 (2016)

    Google Scholar 

  32. Bachiri, M., Idri, A., Fernández-Alemán, J.L., Toval, A.: Mobile personal health records for pregnancy monitoring functionalities: analysis and potential. Comput. Methods Programs Biomed. 134, 121–135 (2016)

    Article  Google Scholar 

  33. Bachiri, M., Idri, A., Fernandez-Aleman, J.L., Toval, A.: A preliminary study on the evaluation of software product quality of pregnancy monitoring mPHRs. In: Proceedings of 2015 IEEE World Conference on Complex Systems, WCCS 2015. Institute of Electrical and Electronics Engineers Inc., pp. 1–6 (2016)

    Google Scholar 

  34. Idri, A., Bachiri, M., Fernández-Alemán, J.L.: A framework for evaluating the software product quality of pregnancy monitoring mobile personal health records. J. Med. Syst. 40, 1–17 (2016). https://doi.org/10.1007/s10916-015-0415-z

    Article  Google Scholar 

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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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