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Usability Evaluation of Heart Disease Monitoring Mobile Applications: A Comparative Study

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11870))

Abstract

Heart disease is one of the most prominent silent killers in the world. Further, treating the heart disease problems is considerably costly. In the era of the Fourth Industrial Revolution (4IR), many heart disease monitoring mobile applications are available on Google Play and Apple App Store. These applications enable the patients to carry out self-monitoring of their heart conditions practically easy. This study aims to conduct usability evaluations of selected heart disease monitoring mobile applications from the perspective of the heart patients. The compared applications are: (i) Cardiag Diagnosis, (ii) iCare Health Monitoring Full, and (iii) Heart Rate Plus. These applications were evaluated and compared based on the features offered by the applications as well as their common usability elements: (i) learnability, (ii) efficiency, (iii) memorability, (iv) error, and (v) satisfaction. This comparative study adopted the Post-Study System Usability Questionnaire (PSSUQ) in evaluating heart disease monitoring mobile applications. The study recruited twenty heart patients in a hospital in Palembang, Indonesia. From the participants’ assessments, the study found that the applications: (i) offer peripheral features unnecessary to the users, (ii) slowness in providing results (i.e., measurement and/or feedback), (iii) unmemorable features, and (iv) results of measurements are perceived to be dubious and unreliable. This paper theoretically contributes to provide recommendations to application developers and usability designers on the importance of meeting the usability elements desired by the users, especially mobile applications for chronic diseases.

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References

  1. Mathers, C.D., Lopez, A.D., Murray, C.J.L.: Chapter 3: The burden of disease and mortality by condition: data, methods, and results for 2001. In: Global Burden of Disease and Risk Factors, vol. 2003, pp. 45–93 (2006)

    Google Scholar 

  2. Dariush, M., et al.: Heart Disease and Stroke Statistics—2016 Update, vol. 133, no. 4. American Heart Association (2016)

    Google Scholar 

  3. Sobri, M., Ijab, M.T., Mat Nayan, N.: Systematic literature review untuk membuat model aplikasi pemantauan kesehatan cardiovascular. J. RESTI (Rekayasa Sist. dan Teknol. Informasi) 2(2), 458–464 (2018)

    Article  Google Scholar 

  4. Yusro, A.H.: Penyakit Jantung Koroner di indonesia Penyebab Kematian Nomor 1 Manusia, 2 (2017). http://www.sehatalamiyah.com/2017/05/mengenal-pembunuh-nomor-1-manusia.html. Accessed 13 Dec 2017

  5. Frank, J.W., et al.: Coronary heart disease, heart failure, and the risk of dementia: a systematic review and meta-analysis. Alzheimer’s Dement. 14(11), 1–12 (2018)

    Google Scholar 

  6. Ileana, L.P., Desai, N.R., Allen, L.A., Heidenreich, P.: Managing the economic challenges in the treatment of heart failure. Prog. Cardiovasc. Dis. 61(5–6), 476–483 (2018)

    Google Scholar 

  7. Anshari, M., Nabil, M.: Mobile health (mHealth) services and online health educators. Biomed. Inform. Insights 8, 19–28 (2016)

    Article  Google Scholar 

  8. Zahra, F., Hussain, A., Mohd, H.: Factors affecting mobile health application for chronic diseases. J. Telecommun. Electron. Comput. Eng. 10(1), 77–81 (2018)

    Google Scholar 

  9. Khajouei, R., De Jongh, D., Jaspers, M.W.M.: Usability evaluation of a computerized physician order entry for medication ordering. Stud. Health Technol. Inform. 150, 532–536 (2009)

    Google Scholar 

  10. Menachemi, N., Collum, T.H.: Benefits and drawbacks of electronic health record systems. Risk Manag. Healthc. Policy 4, 47–55 (2011)

    Article  Google Scholar 

  11. Yucel, G., Cebi, S., Hoege, B., Ozok, A.F.: A fuzzy risk assessment model for hospital information system implementation. Expert Syst. Appl. 39(1), 1211–1218 (2012)

    Article  Google Scholar 

  12. Collen, M.F., Ball, M.J. (eds.): The History of Medical Informatics in the United States. HI. Springer, London (2015). https://doi.org/10.1007/978-1-4471-6732-7

    Book  Google Scholar 

  13. Bennett, K.B., Nagy, A.L., Flach, J.M.: Visual Display. Wiley, Hoboken (2012)

    Book  Google Scholar 

  14. Nielsen, J.: Usability Engineering. Morgan Kaufman, San Francisco (1993)

    Book  MATH  Google Scholar 

  15. ISO: Ergonomic requirements for office work with visual display terminals. Part 11: Guidance on usability (ISO DIS 9241–11), ISO DIS 92. International Standards Organization, London (1994)

    Google Scholar 

  16. Rachel, H., Derek, F., David, D.: Usability of mobile applications: literature review and rationale for a new usability model. J. Interact. Sci. 1(1), 1 (2013)

    Article  Google Scholar 

  17. Fatima, Z., Haslina, M., Azham, H., Mazni, O.: Usability dimensions for chronic disease mobile applications: a systematics literature review. In: Knowledge Management International Conference (KMICe), pp. 363–368 (2018)

    Google Scholar 

  18. Muqtadiroh, F.A., Astuti, H.M., Tyas Darmaningrat, E.W., Aprilian, F.R.: Usability evaluation to enhance software quality of cultural conservation system based on Nielsen model (WikiBudaya). Procedia Comput. Sci. 124, 513–521 (2017)

    Article  Google Scholar 

  19. Crepaldi, N.Y., et al.: Satisfaction evaluation of health professionals in the usability of software for monitoring the tuberculosis treatment. Procedia Comput. Sci. 121, 889–896 (2017)

    Article  Google Scholar 

  20. ANSI: Common Industry Format for Usability Test Reports (ANSI-NCITS 354–2001), Washington DC (2001)

    Google Scholar 

  21. ISO: Ergonomic requirements for office work with visual display terminals (VDTs) e Part 11: guidance on usability (ISO 9241-11:1998E), Geneva (1998)

    Google Scholar 

  22. Chin, J.P., Diehl, V.A., Norman, K.L.: Development of an instrument measuring user satisfaction of the human-computer interface. In: CHI 1998, pp. 213–218 (1988)

    Google Scholar 

  23. Kirakowski, J., Corbett, M.: SUMI: the software usability measurement inventory. Br. J. Educ. Technol. 24(3), 210–212 (1993)

    Article  Google Scholar 

  24. McSweeney, R.: SUMI: a psychometric approach to software evaluation. University College of Cork (1992)

    Google Scholar 

  25. Brooke, J.: SUS: a ‘quick and dirty’ usability scale. In: Usability Evaluation in Industry, pp. 189–194 (1996)

    Google Scholar 

  26. Lewis, J.R.: Psychometric evaluation of the PSSUQ using data from five years of usability studies. Int. J. Hum. Comput. Interact. 14, 463–488 (2002)

    Article  Google Scholar 

  27. Sauro, J., Lewis, J.R.: Chapter 8 - Standardized usability questionnaires in quantifying the user experience, 2nd edn., pp. 185–248. Elsevier Inc. (2016)

    Google Scholar 

  28. Aitken, M., et al.: Patient apps for improved healthcare from novelty to mainstream. IMS Inst. Healthc. Inform., 1–65 (2013)

    Google Scholar 

  29. Cronbach, L.J.: Coefficient alpha and the internal structure of tests. Psychometrika 16(3), 297–334 (1951)

    Article  MATH  Google Scholar 

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Acknowledgements

The main researcher thanked Universitas Bina Darma for providing grant funding to conduct this research.

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Correspondence to Muhammad Sobri .

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Sobri, M., Ijab, M.T., Nayan, N.M. (2019). Usability Evaluation of Heart Disease Monitoring Mobile Applications: A Comparative Study. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2019. Lecture Notes in Computer Science(), vol 11870. Springer, Cham. https://doi.org/10.1007/978-3-030-34032-2_58

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  • DOI: https://doi.org/10.1007/978-3-030-34032-2_58

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34031-5

  • Online ISBN: 978-3-030-34032-2

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