WHAT IS THE M-ADBB SCALE? The M-ADBB scale is the shortened and validated version of the Alarm Distress baby Scale (ADBB), it allows for the early detection of babies who engage in relational withdrawal behaviour. WHAT DOES IT DO? This webinar, aimed at all health, mental health and childcare professionals, will enable you to quickly detect which babies might be suffering from psychological distress and possibly refer families for a more in-depth assessment or to set up support.
LEARNING OBJECTIVES At the end of the course you should be able to:
- Define relational withdrawal,
- Understand the links between relational withdrawal and developmental risk,
- Name and define each of the items in the M-ADBB scale
- Use the M-ADBB scale in their professional setting
- Be able to detect babies in distress
CONTENTS OF THE TRAINING Introduction and theoretical basis of the scale
- To understand the theoretical basis of the scale,
- and its relationship with early psychopathology.
Representing relational withdrawal
- Validation study in France and in the world
- The M-ADBB scale and detection of relational withdrawal
Learning to find your way around the M-ADBB scale
- The 5 items
- Exchanges and questions about their practices
PEDAGOGICAL AND TECHNICAL SUPERVISORS Alexandra Deprez: Doctor in psychology, specialist in attachment theory and perinatal psychopathology. I am trained in different tools for assessing attachment at different ages (CARE -Index, Strange Situation, Adult Attachment Interview.). Attachment theory is the framework on which I based my thesis research, which focused on the effect of parental visits on babies in care. It was during this experience that I became an expert in thinking about attachment and relationships in clinical practice. For the past 10 years, I have been working in my private practice, as a trainer or supervisor, to integrate attachment into the clinic and to allow the practical contributions of this theory to be widely disseminated in the field and among professionals. Jocelyne Guillon : Jocelyne Guillon: Distance learning engineer, educational coordinator and Learning Community Manager.