mHealth and its application in menstrual related issues: a systematic review

References

• O’Dea S. 2021. Smartphones - statistics & facts. Statista. https://www.statista.com/topics/840/smartphones/.
   Google Scholar
• Milijic M. 2021. 29+ Smartphone usage statistics: around the world in 2021. Leftronic. https://leftronic.com/blog/smartphone-usage-statistics/.
   Google Scholar
• Fortuin J, Salie F, Abdullahi LH, et al. The impact of mHealth interventions on health systems: a systematic review protocol. Syst Rev. 2016;5(1):200.
   PubMedGoogle Scholar
• Istepanian RSH, Lacal JC. Emerging mobile communication technologies for health: Some imperative notes on m-health. Annu Int Conf IEEE Eng Med Biol - Proc. 2003;2:1414–1416.
   Google Scholar
• Jency J, Jagadeesh P. Embedded management system for out patient department. Int J Pharm Technol. 2016;8(4):20297–20302.
   Google Scholar
• Patil R. 2019. How are Mobile apps transforming the healthcare industry? PacktPub. https://hub.packtpub.com/how-are-mobile-apps-transforming-the-healthcare-industry/.
   Google Scholar
• Wise J. Covid-19: NHS test and trace made no difference to the pandemic, says report. BMJ. 2021;372:n663.
   PubMedGoogle Scholar
• Symul L, Wac K, Hillard P, et al. Assessment of menstrual health status and evolution through mobile apps for fertility awareness. NPJ Digit Med. 2019;2:64.
   PubMed Web of Science ®Google Scholar
• Berglund Scherwitzl E, Gemzell Danielsson K, Sellberg JA, et al. Fertility awareness-based mobile application for contraception. Eur J Contracept Reprod Health Care. 2016;21(3):234–241.
   PubMed Web of Science ®Google Scholar
• Berglund Scherwitzl E, Lundberg O, Kopp Kallner H, et al. Perfect-use and typical-use pearl index of a contraceptive mobile app. Contraception. 2017;96(6):420–425.
   PubMed Web of Science ®Google Scholar
• Pearson JT, Chelstowska M, Rowland SP, et al. Contraceptive effectiveness of an FDA-Cleared birth control app: Results from the natural cycles U.S. Cohort. J Women’s Health. 2020;30(6):782–788.
   PubMed Web of Science ®Google Scholar
• Bull J, Rowland S, Lundberg O, et al. Typical use effectiveness of natural cycles: postmarket surveillance study investigating the impact of previous contraceptive choice on the risk of unintended pregnancy. BMJ Open. 2019;9(3):e026474.
   PubMed Web of Science ®Google Scholar
• Kleinschmidt TK, Bull JR, Lavorini V, et al. Advantages of determining the fertile window with the individualised natural cycles algorithm over calendar-based methods. Eur J Contracept Reprod Health Care. 2019;24(6):457–463.
   PubMed Web of Science ®Google Scholar
• Jennings V, Haile LT, Simmons RG, et al. Perfect- and typical-use effectiveness of the dot fertility app over 13 cycles: results from a prospective contraceptive effectiveness trial. Eur J Contracept Reprod Health Care. 2019;24(2):148–153.
   PubMed Web of Science ®Google Scholar
• Johnson S, Stanford JB, Warren G, et al. Increased likelihood of pregnancy using an App-Connected ovulation test system: a randomized controlled trial. J Women’s Health. 2020;29(1):84–90.
   PubMed Web of Science ®Google Scholar
• Nam SJ, Cha C. Effects of a social-media-based support on premenstrual syndrome and physical activity among female university students in South Korea. J Psychosom Obstet Gynecol. 2019;41(1):47–53.
   PubMed Web of Science ®Google Scholar
• Blödt S, Pach D, Eisenhart-Rothe SV, et al. Effectiveness of app-based self-acupressure for women with menstrual pain compared to usual care: a randomized pragmatic trial. Am J Obstet Gynecol. 2018;218(2):227.e1-227–e9.
   Web of Science ®Google Scholar
• Song M, Kanaoka H. Effectiveness of mobile application for menstrual management of working women in Japan: randomized controlled trial and medical economic evaluation. J Med Econ. 2018;21(11):1131–1138.
   PubMed Web of Science ®Google Scholar
• Dietrich JE, Yee DL, Santos XM, et al. Assessment of an electronic intervention in young women with heavy menstrual bleeding. J Pediatr Adolesc Gynecol. 2017;30(2):243–246.
   PubMed Web of Science ®Google Scholar
• Jacobson AE, Vesely SK, Haamid F, et al. Mobile application vs paper pictorial blood assessment chart to track menses in young women: a randomized cross-over design. J Pediatr Adolesc Gynecol. 2018;31(2):84–88.
   PubMed Web of Science ®Google Scholar
• Rowland SP, Fitzgerald JE, Holme T, et al. What is the clinical value of mHealth for patients? Npj Digit Med. 2020;3(1):1–6.
   PubMed Web of Science ®Google Scholar
• Moglia ML, Nguyen HV, Chyjek K, et al. Evaluation of smartphone menstrual cycle tracking applications using an adapted APPLICATIONS scoring system. Obstet Gynecol. 2016; Jun127(6):1153–1160.
   PubMed Web of Science ®Google Scholar
• Gambier-Ross K, McLernon DJ, Morgan HM. A mixed methods exploratory study of women's relationships with and uses of fertility tracking apps. Digit Health. 2018;4:2055207618785077Jan205520761878507.
   Web of Science ®Google Scholar
• Epstein DA, Lee NB, Kang JH, et al. Examining menstrual tracking to inform the design of personal informatics tools. Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM; 2017. pp. 6876–88.
   Google Scholar
• Frank-Herrmann P, Stanford JB, Freundl G. Fertility awareness-based mobile application. Eur J Contracept Reprod Health Care. 2017;22(5):396–397.
   PubMed Web of Science ®Google Scholar
• Freundl G, Fehring RJ, Frank-Herrman P, et al. Study of contraceptive mobile app fails to provide convincing findings. Contraception. 2019;99(5):312.
   PubMed Web of Science ®Google Scholar
• Peragallo Urrutia R, Polis CB, Jensen ET, et al. Effectiveness of fertility Awareness-Based Methods for Pregnancy Prevention: A Systematic Review. Obstet Gynecol. 2018;132(3):591–604.
   PubMed Web of Science ®Google Scholar
• Johnson S, Marriott L, Zinaman M. Can apps and calendar methods predict ovulation with accuracy? Curr Med Res Opin. 2018;34(9):1587–1594.
   PubMed Web of Science ®Google Scholar
• Goodale BM, Shilaih M, Falco L, et al. Wearable sensors reveal menses-driven changes in physiology and enable prediction of the fertile window: Observational study. J Med Internet Res. 2019;21(4):e13404–14.
   PubMed Web of Science ®Google Scholar
• Pallone SR, Bergus GR. Fertility awareness-based methods: another option for family planning. J Am Board Fam Med. 2009;22(2):147–157.
   PubMed Web of Science ®Google Scholar
• Stanford JB, Willis SK, Hatch EE, et al. Fecundability in relation to use of mobile computing apps to track the menstrual cycle. Hum Reprod. 2020;35(10):2245–2252.
   PubMed Web of Science ®Google Scholar
• Carroquino-Garcia P, Jiménez-Rejano JJ, Medrano-Sanchez E, et al. Therapeutic exercise in the treatment of primary dysmenorrhea: a systematic review and Meta-Analysis. Phys Ther. 2019;99(10):1371–1380.
   PubMed Web of Science ®Google Scholar
• Han J, Cha Y, Kim S. Effect of psychosocial interventions on the severity of premenstrual syndrome: a Meta-analysis. J Psychosom Obstet Gynecol. 2019;40(3):176–184.
   PubMed Web of Science ®Google Scholar
• Lee J, Kim J. Can menstrual health apps selected based on users' needs change health-related factors? A double-blind randomized controlled trial . J Am Med Inform Assoc. 2019;26(7):655–666.
   PubMed Web of Science ®Google Scholar
• MacKrill K, Groom KM, Petrie KJ. The effect of symptom-tracking apps on symptom reporting . Br J Health Psychol. 2020;25(4):1074–1085.
   PubMed Web of Science ®Google Scholar
• Lupton D. Quantified sex: a critical analysis of sexual and reproductive self-tracking using apps. Cult Health Sex. 2015;17(4):440–453.
   PubMed Web of Science ®Google Scholar
• Healy RL. Zuckerberg, get out of my uterus! an examination of fertility apps, data-sharing and remaking the female body as a digitalized reproductive subject. J Gend Stud. 2021;30(4):406–416.
   Web of Science ®Google Scholar
• Earle S, Marston HR, Hadley R, et al. Use of menstruation and fertility app trackers: a scoping review of the evidence. BMJ Sex Reprod Health. 2021;47(2):90–101.
   PubMed Web of Science ®Google Scholar
• Costa Figueiredo M, Huynh T, Takei A, et al. Goals, life events, and transitions: examining fertility apps for holistic health tracking. JAMIA Open. 2021;4(1):ooab013.
   PubMedGoogle Scholar
• Bajwa M. mHealth security. Pakistan J Med Sci. 2014;30(4):904–907.
   PubMed Web of Science ®Google Scholar
• Rosato BD. 2020. What your period tracker app knows about you. Consumer Reports. https://www.consumerreports.org/health-privacy/what-your-period-tracker-app-knows-about-you/
   Google Scholar
• Ayers R, Taylor BK, Wiggers BK. 2019. The rise of “menstrual surveillance” and the fight for data privacy in women’s health. Dataconomy. https://dataconomy.com/2019/09/the-rise-of-menstrual-surveillance-and-the-fight-for-data-privacy-in-womens-health/
   Google Scholar
• Shipp L, Blasco J. How private is your period?: a systematic analysis of menstrual app privacy policies. Proc Priv Enhancing Technol. 2020;2020(4):491–510. Oct
   Google Scholar
• Alhazmi A, Arachchilage NAG. I’m all ears! listening to software developers on putting GDPR principles into software development practice. Pers Ubiquit Comput. 2021. https://doi.org/10.1007/s00779-021-01544-1
   PubMedGoogle Scholar
• Jennings VH, Haile LT, Simmons RG, et al. Estimating six-cycle efficacy of the dot app for pregnancy prevention. Contraception. 2019;99(1):52–55.
   PubMed Web of Science ®Google Scholar
• Berglund Scherwitzl E, Lindén Hirschberg A, Scherwitzl R. Identification and prediction of the fertile window using NaturalCycles. Eur J Contracept Reprod Health Care. 2015;20(5):403–408.
   PubMed Web of Science ®Google Scholar