When: Wednesday, October 2, 2013, 09:00 – 13:00
Where: Hilton Addis Ababa, Ethiopia
Registration Fee: $25
Maximum Number of Participants: 25
Facilitators: Eric Ohuma, Kenya/UK; Sikolia Wanyonyi, Kenya/UK
Deadline for Registration: Monday, September 2, 2013 - CLOSED -
Who Should Attend?
Consultant or trainee obstetricians and midwives undertaking or planning to undertake clinical research projects.
Researchers with interests in fetal, neonatal and child growth.
Clinicians interested in understanding how research data can be used to guide clinical decision making.

Evidence now suggests that fetal growth could be used as a surrogate for assessing neonatal and child well-being. There is therefore potential for researchers and clinicians in Africa to develop or be involved in key projects designed to address these issues. To achieve this, there is need to develop skills on how to design studies on the subject and apply the right statistical methods for data analysis. This knowledge will also help in key clinical decision making; such as differentiating intra-uterine fetal growth restriction or macrosomia from healthy but small or large fetuses based on comparisons from growth reference and standard charts. This workshop is designed to help the participant to understand how to design and analyse studies that may answer these questions.

To understand principles of different study designs used in fetal and neonatal growth assessment.
To be able to analyse and interpret data on fetal growth and its application in clinical practice.
To understand how to determine the relationship between fetal growth and neonatal/childhood growth patterns.
To participate in the design of fetal growth studies (learn how to formulate a clinical question; understand the principles on which to base the choice of a primary outcome for the study and the challenges inherent in different designs).

Lectures, PowerPoint Presentations, Questions/Answers, One-to-One Interactions.

A formal lecture on design issues, various analytical approaches for modelling such data will be presented followed by a discussion. Participants are encouraged to bring their individual project work as participants will gain insights into analysis options relating to their own work. The sessions will be problem-based and the participants will be presented with data or use their own data to work through different case scenarios to enable understanding of the subject.

Learning outcomes
Design of growth studies
Issues emanating from the choice of a particular design
Statistical methods for growth data

To learn more about the workshop, please contact:
Eric Ohuma, Nuffield Department of Obstetrics & Gynaecology, University of Oxford, Women's Centre, Level 3, John Radcliffe Hospital, Headington, Oxford, OX3 9DU, UK;