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A Framework for Evaluating the Software Product Quality of Pregnancy Monitoring Mobile Personal Health Records

  • Systems-Level Quality Improvement
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Abstract

Stakeholders’ needs and expectations are identified by means of software quality requirements, which have an impact on software product quality. In this paper, we present a set of requirements for mobile personal health records (mPHRs) for pregnancy monitoring, which have been extracted from literature and existing mobile apps on the market. We also use the ISO/IEC 25030 standard to suggest the requirements that should be considered during the quality evaluation of these mPHRs. We then go on to design a checklist in which we contrast the mPHRs for pregnancy monitoring requirements with software product quality characteristics and sub-characteristics in order to calculate the impact of these requirements on software product quality, using the ISO/IEC 25010 software product quality standard. The results obtained show that the requirements related to the user’s actions and the app’s features have the most impact on the external sub-characteristics of the software product quality model. The only sub-characteristic affected by all the requirements is Appropriateness of Functional suitability. The characteristic Operability is affected by 95 % of the requirements while the lowest degrees of impact were identified for Compatibility (15 %) and Transferability (6 %). Lastly, the degrees of the impact of the mPHRs for pregnancy monitoring requirements are discussed in order to provide appropriate recommendations for the developers and stakeholders of mPHRs for pregnancy monitoring.

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References

  1. Fernández-Alemán, J. L., Seva-Llor, C. L., Toval, A., Ouhbi, S., and Fernández-Luque, L., Free web-based personal health records: An analysis of functionality. J. Med. Syst. 37(6):1–16, 2013.

    Article  Google Scholar 

  2. Carrión, I., Fernández-Alemán, J. L., and Toval, A., Personal health records: New means to safely handle our health data? IEEE Comput. 45(11):27–33, 2012.

    Article  Google Scholar 

  3. Zapata, B. C., Niñirola, A. H., Idri, A., Fernández-Alemán, J. L., and Toval, A., Mobile PHRs compliance with Android and iOS usability guidelines. J. Med. Syst. 38(8):1–16, 2014.

    Google Scholar 

  4. Chang, I. C., Hsiao, S. J., Hsu, H. M., and Chen, T. H. Building mPHR to assist diabetics in self-healthcare management. In 7th International Conference on Service Systems and Service Management, ICSSSM, pp 1–5, 2010.

  5. Ouhbi, S., Fernández-Alemán, J. L., Ambrosio, T., Idri, A., and José Rivera, P., Free blood donation mobile applications. J. Med. Syst. 39(5):52, 2015.

    Article  PubMed  Google Scholar 

  6. Ouhbi, S., Fernández-Alemán, J. L., José Rivera, P., El Bajta, M., Toval, A., and Idri, A., Compliance of blood donation apps with mobile OS usability guidelines. J. Med. Syst. 39(6):63:1–63:21, 2015.

    Article  Google Scholar 

  7. Oh, S., Sheble, L., and Choemprayong, S., Personal pregnancy health records (PregHeR): Facets to interface design. Proc. Am. Soc. Inf. Sci. Technol. 1:1–10, 2005.

    Google Scholar 

  8. Duran, A., Galuscan, A., and Muntean, C. (2010). Proposed structure of personal health records for pregnant women. Medicine in evolution Volume XVI, No. 1, 2010, Timişoara.

  9. Sayyedi Viand, K. (2014). A personal health record module for pregnant women: system development and user adoption study. Master thesis. McMaster University Hamilton, Ontario, 85p. http://hdl.handle.net/11375/13981.

  10. Evan, D., Brendan, H., Thomas, J., Ken, M., and Ng, M., Mom-O-Meter: A self-help pregnancy Android app. Bachelor of science thesis. WORCESTER Polytechnic Institute. 210p, 2011.

  11. Patel, V. N., Dhopeshwarkar, R. V., Edwards, A., Barrón, Y., and Kaushal, J. S. R., Consumer support for health information exchange and personal health records: A regional health information organization survey. J. Med. Syst. 36(3):1043–1052, 2012.

    Article  PubMed  Google Scholar 

  12. Ouhbi, S., Idri, A., Fernández-Alemán, J. L., Toval, A., Benjelloun, H., Applying ISO/IEC 25010 on mobile personal health records. In: Proceedings of Healthinf Conference, pp. 405–412, 2015.

  13. Kharrazi, H., Chisholm, R., VanNasdale, D., and Thompson, B., Mobile personal health records: An evaluation of features and functionality. Int. J. Med. Inform. 81:579–593, 2012.

    Article  PubMed  Google Scholar 

  14. Maloney, F. L., and Wright, A., USB-based personal health records: An analysis of features and functionality. Int. J. Med. Inform. 79(2):97–111, 2010.

    Article  PubMed  Google Scholar 

  15. Statista.com. Number of apps available in leading app stores as of July 2014. http://www.statista.com/statistics/276623/number-of-apps-available-in-leading-app-stores/. Accessed 5 June 2015

  16. Petsas, T., Papadogiannakis, A., Polychronakis, M., Markatos, E. P., and Karagiannis, T., Rise of the planet of the apps: A systematic study of the mobile app ecosystem. In Internet Measurement Conference, IMC, pp. 277–290. ACM, 2013.

  17. Johnson, J., Longmate, J., and Frentzen, B., Excessive maternal weight and pregnancy outcome. Am. J. Obstet. Gynecol. 167(2):353–370, 1992.

    Article  PubMed  CAS  Google Scholar 

  18. Higgins, J. R. et al., Blood-pressure measurement and classification in pregnancy. Lancet 357(9250), 2001.

  19. Scholl, O. T., and Johnson, W. G., Folic acid: Impact on the outcome of pregnancy. Am. J. Clin. Nutr. 71(5 suppl):1295S–1303S, 2000.

    PubMed  CAS  Google Scholar 

  20. National Institute for Health and Care Excellence (NICE). Antenatal care.http://www.nice.org.uk/guidance/cg62/chapter/guidance#management-of-common-symptoms-of-pregnancy. Accessed 10 June 2015.

  21. ACOG Committee on Obstetric Practice, AAP Committee on Fetus and Newborn (2012). Guidelines for Perinatal Care (7th edition). 580 p. ISBN 978-1-58110-771-5.

  22. Watson, P. E., and McDonald, B. W., The association of maternal diet and dietary supplement intake in pregnant New Zealand women with infant birthweight. Eur. J. Clin. Nutr. 64(2):184–193, 2010. doi:10.1038/ejcn.2009.134.

    Article  PubMed  CAS  Google Scholar 

  23. Schaefer, C., Peters, P. W. J., and Miller, R. K. (eds.), Drugs during pregnancy and lactation: treatment options and risk assessment. Academic, 2014.

  24. Linnet, K. M., et al., Maternal lifestyle factors in pregnancy risk of attention deficit hyperactivity disorder and associated behaviors: Review of the current evidence. Am. J. Psychiatr. 160(6):1028–1040, 2003.

    Article  PubMed  Google Scholar 

  25. Buka, S. L., Tsuang, M. T., and Lipsitt, L. P., Pregnancy/Delivery complications and psychiatric diagnosis: A prospective study. Arch. Gen. Psychiatry 50(2):151–156, 1993.

    Article  PubMed  CAS  Google Scholar 

  26. Tufte, E., The visual display of quantitative information. Graphics Press, Cheshier, CT, USA, 1986.

    Google Scholar 

  27. Sadovsky, E., Laufer, N., and Allen, J. W., The incidence of different types of fetal movements during pregnancy. BJOG 86:10–14, 1979. doi:10.1111/j.1471-0528.1979.tb10675.x.

    Article  CAS  Google Scholar 

  28. Idri, A., Moumane, K., and Abran, A., On the use of software quality standard ISO/IEC 9126 in mobile environments. In 20thAsia-Pacific Software Engineering Conference, volume 1 of APSEC, pages 1–8, 2013.

  29. Lee, L. H., Chou, Y. T., Huang, E. W., and Liou, D. M., Design of a personal health record and health knowledge sharing system using IHE-XDS and OWL. J. Med. Syst. 37(2):9921, 2013. doi:10.1007/s10916-012-9921-4.

    Article  PubMed  Google Scholar 

  30. Klonovs, J., Petersen, C. K., Olesen, H., and Hammershoj, A., ID proof on the go: Development of a mobile EEG-based biometric authentication system. IEEE Veh. Technol. Mag. 8(1):81–89, 2013.

    Article  Google Scholar 

  31. Ion, I., Sachdeva, N., Kumaraguru, P., and Cˇapkun, S., Home is safer than the cloud!: privacy concerns for consumer cloud storage In 7th Symposium on Usable Privacy and Security, page 13. ACM, 2011.

  32. Wasserman, A. I., Software engineering issues for mobile application development. In: FSE/SDP Workshop on Future of Software Engineering Research, FoSER, pages 397–400. ACM, 2010.

  33. Al-Habsi, A. A. A., and Seldon, H. L., A communication module for mobile personal health record. In: IEEE 7th International Power Engineering and Optimization Conference, PEOCO, pages 727–731, 2013.

  34. Simon, S. K., and Seldon, H. L., Personal health records: Mobile biosensors and smartphones for developing countries. Glob. Telehealth 2012:125–131, 2012.

    Google Scholar 

  35. Pagliari, C., Detmer, D., and Singleton, P., Potential of electronic personal health records. BMJ 335(7615):330–333, 2007.

    Article  PubMed Central  PubMed  Google Scholar 

  36. Chen, X., Tian, J., Su, Q., Yang, X., and Wang, F. Y., A secured mobile phone based on embedded fingerprint recognition systems. Paper presented at the Proceedings of the 2005 I.E. international conference on Intelligence and Security Informatics, Atlanta,GA. pp. 549–553, 2005

  37. Cos, J. A., Toval, R., Toval, A., Fernández-Alemán, J. L., Carrillo-de-Gea, J. M., and Nicolás, J., Internationalization requirements for e-learning audit purposes. Global Engineering Education Conference (EDUCON), IEEE, pp.1,6, 17–20, 2012.

  38. Fernández-Alemán, J. L., Sánchez-Henarejos, A., Toval, A., Sánchez-García, A. B., Hernández-Hernández, I., and Fernandez-Luque, L., Analysis of health professional security behaviors in a real clinical setting: An empirical study. Int. J. Med. Inform. 84(6):454–46, 2015.

    Article  PubMed  Google Scholar 

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Acknowledgments

This research is part of the mPHR project in Morocco financed by the Ministry of Higher education and Scientific research in Morocco 2015-2018, and part of the GEODAS-REQ project (TIN2012-37493-C03-02) supported by the Spanish Ministry of Economy and Competitiveness and European FEDER funds.

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Correspondence to Ali Idri.

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The authors declare that they have no conflict of interest.

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This article is part of the Topical Collection on Systems-Level Quality Improvement

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Table 3

Table 3 Checklist of the impact of MPHR for pregnancy monitoring requirements on product quality characteristics

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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, 50 (2016). https://doi.org/10.1007/s10916-015-0415-z

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