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Just plain talking: how plain language summaries help people understand new medical research

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Online
9:00pm - 10:00pm NZDT

The recent update to Good Publication Practice Guidelines, GPP 2022, clearly supports plain language summaries (PLS) to communicate biomedical research to wider audiences, formalising a recent cultural shift in the field of medical publishing. But what are PLS and how do you go about writing one?

In this webinar you will learn about:
  • the value of PLS both to patients, healthcare professionals and other audiences
  • different types of PLS and where they are published
  • some top tips for following health literacy best practices when developing PLS

Join experts Catherine Elliots, Senior Scientific Director at Envision Pharma Group, and Lizzie Perdeaux, Scientific Director at Envision Pharma Group, for an insightful webinar.

Moderator: Nicola Ryan


 Catherine Elliot
 Senior Scientific Director, Patient Partnerships
 Envision the Patient, Envision Pharma Group

Catherine has worked in medical communications for 15 years, supporting both publications and medical affairs teams. Catherine joined the Envision the Patient team this year after working with another team at Envision where she gained experience in writing and reviewing plain language summaries.

 Lizzie Perdeaux
 Scientific Director, Patient Partnerships
 Envision the Patient, Envision Pharma Group

 An experienced medical writer with over 10 years' experience in writing for patients and the public. Lizzie is a keen advocate for how genuine and effective patient engagement can benefit pharma companies, health systems and the  patients they serve.


This event is free for AMWA members and $20 for non-members.


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Upcoming Webinar - Statistics for Medical Writers

AMWA is pleased to bring you the first webinar of 2026. Presented by Dr Richard Kay, this webinar will give you a clear, logical structure for thinking about statistical methodology in pharmaceutical R&D. You'll be introduced to methods used in different settings, which are driven by the endpoint type, with a particular focus on binary (odds ratios, relative risks) and time to event (Kaplan-Meier curves, hazard ratios) endpoints. Ideas behind p-values, confidence intervals, and powering a study to detect important levels of effect will be covered. Each concept will be illustrated with case studies.


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