Nuria Barrios Campo

Nuria Barrios Campo

Master's Thesis

Retrospective Analysis of Self-reported Symptoms and Usage Data in a Digital Health Application


Michael Nissen (M.Sc.), Madeleine Flaucher (M.Sc.), Dr.-Ing. Heike Leutheuser, Prof. Dr. Björn Eskofier, Dr.-Ing. Victoria Engelhardt

12 / 2022 – 06 / 2023


Mobile and electronic health technology is rapidly available today. It offers benefits such as the possibility to deliver individual and tailored care at any time. Women are referring to the Internet, social media, and smartphone applicatoins to look for health information with the goal of improving health during pregnancy [1, 2]. However, scarce information is available regarding whether these platforms can result in evidenced benefits [3]. Although widespread, little previous work has investigated symptom trackers and the reliability of self-tracked symptoms [4-6]. In clinical practice, symptoms are usually assessed by physicians or validated questionnaires [1, 7]. Nevertheless, analysis of existing data as well as retrospective study design can greatly benefit perinatal outcomes investigation [8].

[1] S. Wallwiener et al., Pregnancy eHealth and mHealth: user proportions and characteristics of pregnant women using Web-based nformation sources: A cross-sectional study, Arch Gynecol Obstet, vol. 294, no. 5, pp. 937-944, Nov. 2016, doi: 10.1007/s00404-016-4093-y.
[2] M. Smith, A. S. Mitchell, M. L. Townsend, and J. S. Herbert, The relationship between digital media use during pregnancy, maternal psychological wellbeing, and maternal-fetal attachment, PLoS One, vol. 15, no. 12, p. e0243898, Dec. 2020, doi: 10.1371/journal.pone.0243898.
[3] Lupton D Health promotion in the digital era: a critical commentary. Health Promot Int 30(1):174-183, 2015.
[4] A. Hussain, E. O. C. Mkpojiogu, N. Fadzil, N. Hassan, and Z. F. Zaaba, A mobile usability evaluation of a pregnancy app Journal of Telecommunication, Electronic and Computer Engineering, vol. 10, no. 1-11, 2018.
[5] A. Muñoz-Mancisidor, R. Martin-Payo, X. Gonzalez-Mendez, and M. D. M. Fernandez-Alvarez, Content, Behavior Change Techniques, and Quality of Pregnancy Apps in Spain: Systematic Search on App Stores, JMIR mHealth and uHealth, vol. 9, no. 11, p. e27995, Nov. 2021, doi: 10.2196/27995.
[6] A. Ceney, S. Tolond, A. Glowinski, B. Marks, S. Swift, and T. Palser, Accuracy of online symptom checkers and the potential impact on service utilisation, PLOS ONE, vol. 16, no. 7, p. e0254088, Jul. 2021, doi: 10.1371/journal.pone.0254088
[7] Y. Cho, H. Zhang, M. R. Harris, Y. Gong, E. L. Smith, and Y. Jiang, Acceptance and Use of Home-Based Electronic Symptom Self-Reporting Systems in Patients With Cancer: Systematic Review, Journal of Medical Internet Research, vol. 23, no. 3, p. e24638, Mar. 2021, doi: 10.2196/24638.
[8] J. C. Phillippi, J. L. Neal, N. S. Carlson, F. M. Biel, J. M. Snowden, and E. L. Tilden, UTILIZING DATASETS TO ADVANCE PERINATAL RESEARCH. J. Midwifery Womens Health, vol. 62, no. 5, pp. 545-561, Sep. 2017, doi: 10.1111/jmwh.12640.