Published on in Vol 6, No 1 (2017): January

Assessing the Efficacy of an App-Based Method of Family Planning: The Dot Study Protocol

Assessing the Efficacy of an App-Based Method of Family Planning: The Dot Study Protocol

Assessing the Efficacy of an App-Based Method of Family Planning: The Dot Study Protocol

Journals

  1. Peragallo Urrutia R, Polis C, Jensen E, Greene M, Kennedy E, Stanford J. Effectiveness of Fertility Awareness–Based Methods for Pregnancy Prevention. Obstetrics & Gynecology 2018;132(3):591 View
  2. Händel P, Wahlström J. Digital contraceptives based on basal body temperature measurements. Biomedical Signal Processing and Control 2019;52:141 View
  3. Bull J, Rowland S, Scherwitzl E, Scherwitzl R, Danielsson K, Harper J. Real-world menstrual cycle characteristics of more than 600,000 menstrual cycles. npj Digital Medicine 2019;2(1) View
  4. Ali R, Gürtin Z, Harper J. Do fertility tracking applications offer women useful information about their fertile window?. Reproductive BioMedicine Online 2021;42(1):273 View
  5. Shattuck D, Haile L, Simmons R. Lessons From the Dot Contraceptive Efficacy Study: Analysis of the Use of Agile Development to Improve Recruitment and Enrollment for mHealth Research. JMIR mHealth and uHealth 2018;6(4):e99 View
  6. Jennings V, Haile L, Simmons R, Spieler J, Shattuck D. Perfect- and typical-use effectiveness of the Dot fertility app over 13 cycles: results from a prospective contraceptive effectiveness trial. The European Journal of Contraception & Reproductive Health Care 2019;24(2):148 View
  7. Said A, Ganso M, Freudewald L, Schulz M. Trends in dispensing oral emergency contraceptives and safety issues: a survey of German community pharmacists. International Journal of Clinical Pharmacy 2019;41(6):1499 View
  8. Bull J, Rowland S, Lundberg O, Berglund-Scherwitzl E, Gemzell-Danielsson K, Trussell J, Scherwitzl R. 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 View
  9. Sohda S, Suzuki K, Igari I. Relationship Between the Menstrual Cycle and Timing of Ovulation Revealed by New Protocols: Analysis of Data from a Self-Tracking Health App. Journal of Medical Internet Research 2017;19(11):e391 View
  10. Gnoth C, Bachmann N, Görner K. Was leisten neue Technologien zur Zyklusüberwachung?. gynäkologie + geburtshilfe 2018;23(5):38 View
  11. Karasneh R, Al-Azzam S, Alzoubi K, Muflih S, Hawamdeh S. Smartphone Applications for Period Tracking: Rating and Behavioral Change among Women Users. Obstetrics and Gynecology International 2020;2020:1 View
  12. Webb S, Cheng A, Simmons R, Peragallo Urrutia R, Jennings V, Witt J. A Mixed-Methods Assessment of Health Care Providers' Knowledge, Attitudes, and Practices Around Fertility Awareness-Based Methods in Title X Clinics in the United States. Women's Health Reports 2020;1(1):354 View
  13. Ford E, Peters A, Roman S, McLaughlin E, Beckett E, Sutherland J. A scoping review of the information provided by fertility smartphone applications. Human Fertility 2021:1 View

Books/Policy Documents

  1. Raith-Paula E, Frank-Herrmann P. Natürliche Familienplanung heute. View
  2. Acuna J. Female and Male Contraception. View