Usability study of a mobile app for endometriosis diagnosis

Authors

  • Ingrid Fernandes Medeiros Universidade Federal do Rio Grande do Norte
  • Fabiana Gomes Batista Universidade Potiguar
  • Alef Emannuel Dias Instituto Metrópole Digital, IMD/UFRN
  • Juliana Dantas Camargo Empresa Brasileira de Serviços Hospitalares, EBSERH
  • Itamir Barroca Filho Instituto Metrópole Digital, IMD/UFRN
  • Ricardo Ney Cobucci Empresa Brasileira de Serviços Hospitalares (EBSERH) e Universidade Potiguar

DOI:

https://doi.org/10.59681/2175-4411.v15.i1.2023.977

Keywords:

Mobile applications, Endometriosis, User-Centered Design

Abstract

Objectives: To evaluate the usability among doctors of a mobile application (app), Endometriosis Intelligent Application (ENIA), created to facilitate the clinical diagnosis of endometriosis. Methods: The study included 15 specialist medical doctors and 21 residents in Gynecology and Obstetrics of a maternity hospital located in the State of Rio Grande do Norte, Brazil, in the period from July to November 2020, counting as evaluation instrument the mHealth App Usability Questionnaire (MAUQ). Results: About the overall credibility, the scale showed good internal consistency determined by a Cronbach's alpha of 0.871. About ease of use and satisfaction, organization of information in the system and usefulness, the alpha values were 0.80, 0.65 and 0.87, respectively.  Maximum agreement above 70% was found for most questions on the usefulness subscale. Conclusion: Perceived satisfaction and usefulness among physicians in using ENIA, indicating that the application, after validation, may be used in the practice of these professionals.

Author Biographies

Ingrid Fernandes Medeiros, Universidade Federal do Rio Grande do Norte

Médica residente em ginecologia e obstetrícia, Maternidade Escola Januário Cicco, Universidade Federal do Rio Grande do Norte

Fabiana Gomes Batista, Universidade Potiguar

Médica e preceptora da residência médica, Maternidade Escola Januário Cicco, Universidade Federal do Rio Grande do Norte e mestranda da pós-graduação em Biotecnologia, Universidade Potiguar.

Alef Emannuel Dias, Instituto Metrópole Digital, IMD/UFRN

Estudante de graduação, Instituto Metrópole Digital, Universidade Federal do Rio Grande do Norte.

Juliana Dantas Camargo, Empresa Brasileira de Serviços Hospitalares, EBSERH

Estatística, Maternidade Escola Januário Cicco, EBSERH, Universidade Federal do Rio Grande do Norte.

Itamir Barroca Filho, Instituto Metrópole Digital, IMD/UFRN

Professor doutor e diretor, Instituto Metrópole Digital, Universidade Federal do Rio Grande do Norte.

Ricardo Ney Cobucci, Empresa Brasileira de Serviços Hospitalares (EBSERH) e Universidade Potiguar

Doutor em ciências da saúde pela UFRN, médico ginecologista e obstetra, professor da pós-graduação em biotecnologia na Universidade Potiguar e chefe do setor de pesquisa e inovação tecnológica na MEJC/EBSERH em Natal, Brasil.

References

Nnoaham KE, Hummelshoj L, Webster P, d’Hooghe T, de Cicco Nardone F, de Cicco Nardone C, et al. Impact of endometriosis on quality of life and work productivity: a multicenter study across ten countries. Fertility and ste-rility. 2011;96(2):366–373.

Janssen E, Rijkers A, Hoppenbrouwers K, Meuleman C, d’Hooghe T. Prevalence of endometriosis diagnosed by laparoscopy in adolescents with dysmenorrhea or chron-ic pelvic pain: a systematic review. Human reproduction update. 2013;19(5):570–582.

Agarwal SK, Chapron C, Giudice LC, Laufer MR, Ley-land N, Missmer SA, et al. Clinical diagnosis of endome-triosis: a call to action. American journal of obstetrics and gynecology. 2019;220(4):354–e1.

Zondervan KT, Becker CM, Missmer SA. Endometrio-sis. New England Journal of Medicine. 2020;382(13):1244–1256. PMID: 32212520. Available from: https://doi.org/10.1056/NEJMra1810764.

Santos TMV, Pereira AMG, Lopes RGC, Depes DDB. Lag time between onset of symptoms and diagnosis of endometriosis. Einstein (Sao Paulo). 2012;10(1):39–43.

Zondervan K, Becker C, Koga K, Missmer S, Taylor R, Vigan`o P. Endometriosis. Nature reviews. Disease pri-mers 4, 9; 2018.

Geysenbergh B, Dancet EA, D’Hooghe T. Detecting endometriosis in adolescents: why not start from self-report screening questionnaires for adult women? Gyne-cologic and obstetric investigation. 2017;82(4):322–328.

Yeung Jr P, Bazinet C, Gavard JA. Development of a symptom-based, screening tool for early-stage endome-triosis in patients with chronic pelvic pain. Journal of Endometriosis and Pelvic Pain Disorders. 2014;6(4):174–189.

Banos O, Villalonga C, Garcia R, Saez A, Damas M, Holgado-Terriza JA, et al. Design, implementation and validation of a novel open framework for agile develop-ment of mobile health applications. Biomedical engineer-ing online. 2015;14(2):S6.

Fatima M, Pasha M. Survey of machine learning algo-rithms for disease diagnostic. Journal of Intelligent Learning Systems and Applications. 2017;9(01):1.

Yu J, Zhang Hw, Shao Yk, Lei Y, Chen H, Pu Zh, et al. A smartphone based online tool for prehospital self-triage of COVID-19. Chinese journal of academic radiol-ogy. 2020;p. 1–6.

Natarajan S, Jain A, Krishnan R, Rogye A, Sivaprasad S. Diagnostic accuracy of community-based diabetic reti-nopathy screening with an offline artificial intelligence system on a smartphone. JAMA ophthalmology. 2019;137(10):1182–1188.

Jackman JM, Vaid A, Agarwal S, Nezhat A, Nezhat C. Can we diagnosis endometriosis with a phone app? Nezhat endometriosis advisor mobile application as a predictor for endometriosis in patients experiencing pel-vic pain, infertility or unexplained infertility. Fertility and Sterility. 2020;114(3):e534.

Ismail N, Ahmad F, Kamaruddin N, Ibrahim R. A re-view on usability issues in mobile applications. IOSR Journal Of Mobile Computing & Application. 2016;3(3):47–52.

Dick W. A model for the systematic design of instruc-tion. Instructional Design: International Perspectives: Volume I: Theory, Research, and Models: volume Ii: Solving Instructional Design Problems. 2012;p. 361.

Zhou L, Bao J, Setiawan IMA, Saptono A, Parmanto B. The mHealth App Usability Questionnaire (MAUQ): de-velopment and validation study. JMIR mHealth and uHealth. 2019;7(4):e11500.

Wang SL, Chen YL, Kuo AMH, Chen HM, Shiu YS. Design and evaluation of a cloud-based Mobile Health Information Recommendation system on wireless sensor networks. Computers & Electrical Engineering. 2016;49:221–235.

Zapata BC, Fern´andez-Alem´an JL, Idri A, Toval A. Empirical studies on usability of mHealth apps: a sys-tematic literature review. Journal of medical systems. 2015;39(2):1.

Liew MS, Zhang J, See J, Ong YL. Usability challenges for health and wellness mobile apps: mixed-methods study among mhealth experts and consumers. JMIR mHealth and uHealth. 2019;7(1):e12160.

Cronbach LJ. Coefficient alpha and the internal structure of tests. psychometrika. 1951;16(3):297–334.

Ishitani LH, Cunha CCd, Ladeira RM, Corrˆea PRL, Santos MRd, Rego MAS, et al. Avaliação de um aplicati-vo para smartphone para aprimoramento da certificação médica da causa da morte. Revista Brasileira de Epidemi-ologia. 2019;22:e190014–supl.

Nielsen J, Landauer TK. A mathematical model of the finding of usability problems. In: Proceedings of the INTERACT’93 and CHI’93 conference on Human fac-tors in computing systems; 1993. p. 206–213.

Surrey E, Carter CM, Soliman AM, Khan S, DiBenedetti DB, Snabes MC. Patient-completed or symptom-based screening tools for endometriosis: a scoping review. Ar-chives of gynecology and obstetrics. 2017;296(2):153–165.

Pereira SR, Paiva PB. A importância da Engenharia da Usabilidade para a Segurança de Sistemas Informatizados em Saúde. Journal of Health Informatics. 2011;3(3).

Sim I. Mobile devices and health. New England Journal of Medicine. 2019;381(10):956–968.

Published

2023-06-19

How to Cite

Medeiros, I. F., Batista, F. G., Dias, A. E., Camargo, J. D., Filho, I. B., & Cobucci, R. N. (2023). Usability study of a mobile app for endometriosis diagnosis. Journal of Health Informatics, 15(1), 15–23. https://doi.org/10.59681/2175-4411.v15.i1.2023.977

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Section

Original Articles

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