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8 Jun 2021

Updated 2 Nov 2021

Discrete Choice Experiment: How to Run a Preference Study with the DCE Methodology

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Discrete Choice Experiment: How to Run a Preference Study with the DCE Methodology

Are you interested in Preference studies? You have heard about DCE, but not sure whether this approach is the most appropriate for you? You want to know how to define such a project and understand outcomes you would expect from?

We are happy to announce our upcoming webinar at XTalks on Friday, June 25, 2021, 9am EDT (NA) / 2pm BST (UK) / 3pm CEST (EU-Central):

During this webinar, we will share Carenity’s expertise in leading preference studies using DCE and you’ll have the opportunity to hear about one of their customer experiences.

Carenity, part of EvidentIQ, is a leading digital social platform supporting 500k patients and caregivers worldwide across 1,000+ illnesses. Carenity’s mission is to empower patients so they can share their experience with other patients living with the same conditions, find information, manage their illness, and advance medical knowledge by participating in online research studies. With its innovative platform, Carenity delivers timely and compliant direct-to-patient research solutions to the life sciences industry that fuel the development of better medicines and services.

With Takeda, an patient-focused and R&D-driven global biopharmaceutical company and long-term partner of Carenity, we will talk about the importance and benefits of a DCE preference study and how we combined our respective skills.

Among the different approaches possible, the Discrete Choice Experiment is now recognized as a gold standard and yet, few projects using this methodology have been shared. A Preference study is a must have for any patient-centric organization when decisions have to be made to drive a product development and ensure it meets patients’ expectations.

Register now for free to hear our experts defining Discrete Choice Experiment (DCE) and sharing their experiences in leading preference studies using DCE

What you will learn in this webinar:

  • The definition of DCE
  • What is the value of DCE
  • Best practices implementation
  • How to build a preference study using DCE

    Our Speakers are:

Lise Radoszycki Chief Operating Officer at Carenity

Nawal Bent-Ennakhil Lead Epidemiologist at Takeda

Nawal Bent-Ennakhi

The DCE methodology is a gold standard approach in preference studies and Lise will share with you some guidelines and tips learnt throughout Carenity’s experience. Nawal will explain how Takeda built a preference study along with Carenity and how this project helped to uncover patients’ preferences in real life.

Read the full abstract and book your spot by registering. We hope you and your colleagues will join us!

EvidentIQ is a next generation technology-amplified data science group championing new standards in value creation and innovation driven relevance for customers. The EvidentIQ offering brings a pioneering end to end eClinical solution that meets increasing customer demand across clinical operations and clinical data management needs with a suite of applications within a single integrated cloud platform. By combining its platform with a broad data science service portfolio such as patient recruitment, patient engagement media and a host of RWE late phase solutions EvidentIQ significantly helps customers optimize HTA submissions, pricing and reimbursement needs.

EvidentIQ supports 15 of the top 20 pharma companies through novel RWE solutions and 150+ SMB customers in over 20 countries, including US, Germany, France, UK, Italy, Japan and China.

Contact us for more information: info@evidentiq.com 

Image Credit:Foto von Karolina Grabowska von Pexels

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