Table 1 Attributes and levels included in the DCE
Attribute | Description | Levels | Attribute Type (coding for analysis) |
|---|---|---|---|
How risk is predicted | The combination of interventions used to predict a woman’s risk of breast cancer | • A questionnaire only • A questionnaire and mammographic breast density • A questionnaire and radiofrequency breast density • A questionnaire and genetic test • A questionnaire, mammographic breast density, and genetic test • A questionnaire, radiofrequency breast density, and genetic test | Categorical (Effects coded) |
Appointments needed to predict risk | How many appointments would a woman need to attend to have her risk predicted | • One • Two | Categorical (Effects coded) |
Location of appointment | Where the woman would need to go to have her risk predicted | • Home • General Practitioner (GP) • A mobile van • Hospital • Community Centre | Categorical (Effects coded) |
Possible Times for the Appointment | Which days and what times of day appointments are available to book | • 9am-5pm weekdays • 9am-5pm weekdays and evenings or weekends | Categorical (Effects coded) |
How appointments are booked | What the woman needs to do to book an appointment to have her risk predicted | • You are sent a litter with a fixed date and time • You can book a date and time yourself online or on the phone | Categorical (Effects coded) |
The likelihood that you are predicted to be at high risk of breast cancer | The probability that the results suggest a woman should be classed as high risk and receive earlier interventions to reduce the risk of cancer or identify cancers at an earlier stage | • 5 out of every 100 (5%) people would be predicted to be high risk • 10 out of every 100 (10%) people would be predicted to be high risk • 15 out of every 100 (15%) people would be predicted to be high risk • 20 out of every 100 (20%) people would be predicted to be high risk | Continuous (Linear in main analysis; with checks for non-linear functional forms) |
