Orchid

January 11, 2023

What is Orchid?

Orchid is the app that helps you take control of your reproductive health. The app guides you through a set of questions about your reproductive preferences and presents you with personalised results; a reproductive preference group, your likelihood of pregnancy in the next year and links to helpful and trustworthy resources.

Why Orchid?

We named the app Orchid as the word has links to both male and female reproductive systems.

Pregnancy prediction

The predicted probability of pregnancy is generated based on a model created using data from the P3 Study.

A person’s ‘desire to avoid pregnancy’ is measured using the DAP Scale (a set of 14 questions) which gives a score from zero – someone who wants to become pregnant – to four – someone who really doesn’t want to become pregnant. This score is then is combined with the woman’s age and number of children to refine the predicted probability of pregnancy.

This model was developed using data from people from the UK, who self-reported as being female and were from a range of backgrounds.  

The model includes everyone, regardless of whether they are having heterosexual sex or are on contraception. It is important to bear in mind that these are predicted probabilities and not guarantees.

If you are a female having vaginal sex with a male partner and do not wish to become pregnant, it is important that you consider you contraceptive options. Conversely, if you do wish to become pregnant you can improve your chances by addressing any health issues before pregnancy and having sex every few days across your cycle.

Fertility Intentions Typology (FIT)

People have different family building needs at different stages in their life. The underlying research is from a mixed-methods study which investigated the intentions of people of reproductive age regarding their fertility and family building.

From the survey and interviews, researchers developed Fertility Intentions Typology (FIT) with six key categories of people, grouped alphabetically, in a user-friendly manner to highlight a spectrum of reproductive intentions:

  • ‘Avoiders’ describes those who have no children and do not want to have children in the future;
  • ‘Betweeners’ describes those who already have child(ren) and want more in the future but are not actively trying to conceive;
  • ‘Completers’ describes those who have child(ren) but do not want more;
  • ‘Desirers’ describes those who are actively trying to conceive or plan to have child(ren) in the future;
  • ‘Expectants’ describes those who were pregnant at the time of the study; and
  • ‘Flexers’ describes those who may or may not already have and are unsure but or open to having child(ren) in the future.
©FIT used under license*

The work highlights the need for digital health interventions, such as the Orchid app to be tailored differently to suit different intentions.

FIT may be used by individuals, educators, researchers, healthcare professionals, special interest groups, charities, product manufacturers, policymakers and other stakeholders as part of fertility awareness campaigns, education schemes, resource planning, communication strategies, product design and development, policy guidelines and other initiatives to support and enable individuals and couples to make informed choices to achieve their desired fertility intentions.

Meet the team

Dr Jennifer Hall
Strategic Director


• Clinical Associate Professor at UCL
• MBChB, Member of the Faculty of Public Health 
• PhD, Maternal Health & Epidemiology
• Public Health Consultant  15 years’ experience

Dr Bola Grace
Technical Director


• PhD, Population Health and Epidemiology, UCL
• Executive MBA, University of Cambridge Judge Business School
• Two-decade industry experience from R&D to commercialisation with award winning products
• Areas – Digital health, Mobile app development, Women’s Health, Medical devices

Catherine Stewart
Project manager


• Research Assistant – Sexual and Reproductive Health Research Team at UCL
• MSc Reproductive Science and Women’s Health from UCL
• BSc Reproductive Biology from The University of Edinburgh

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