Social media and advertising natural contraception to young women: the case for clarity and transparency with reference to the example of 'Natural Cycles'
| Autor: | Simon Forrest, Maggie Bryce, Amy Hough |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
education.field_of_study
Pregnancy 030219 obstetrics & reproductive medicine Population Obstetrics and Gynecology medicine.disease law.invention Menstruation 03 medical and health sciences Sexual intercourse 0302 clinical medicine Reproductive Medicine law CLARITY medicine Social media Observational study 030212 general & internal medicine education Psychology Natural family planning Demography |
| Zdroj: | BMJ sexualreproductive health. |
| ISSN: | 2515-2009 |
| Popis: | If you are a young female in the UK that uses social media (as 96% of 16–24-year-olds do),1 you may have come across an advert for Natural Cycles since they began their media campaign in late 2016, when using platforms such as Facebook, Instagram or Twitter. Natural Cycles is a ‘natural contraception’ app that was created by a Swedish particle physicist and her partner. For £39.99 per year, users log their body temperature each morning, and occasionally other details, such as their menstruation, and an algorithm determines their fertile days (during which the user would need to use barrier contraception or avoid sexual intercourse). It has been approved as a medical device for contraceptive purposes in Europe.2 The most recent study of the app was funded and primarily run by Natural Cycles. The study was a prospective observational study of 22 785 users who were mostly Swedish and had an average age of 29 (SD=5) years. They do not mention the previous contraceptive practices of their population. Women were considered pregnant if they reported it to the app, or if the timing of when they stopped using the app made it likely they were pregnant. With perfect use, Natural Cycles claims a failure rate of only 1.0 pregnancy per 100 woman-years. With typical use of the app, the failure rate increases from 1.0 to 6.8 pregnancies per 100 woman-years. However, less than 10% of the user data qualified as ‘perfect use’ and contributed to the analysis. If they included all women for which the pregnancy status was unknown (who could possibly be pregnant) this went up to … |
| Databáze: | OpenAIRE |
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