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How to use the M-ADBB Scale to detect early psychologic suffering in babies?

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 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.

 

Interested in in-depth training with private certification at The Alarm Distress Baby Scale (ADBB) to detect and evaluate the relational withdrawal of babies between 0 and 24 months, consult program

 

Consult Humagogie’s terms and conditions

 
WHO CAN LEARN TO USE THE M-ADBB SCALE?
  • psychologists, child and family psychotherapists
  • paediatricians, doctors
  • psychomotricians, physiotherapists, osteopaths,
  • specialised educators, TISF, social workers
  • nursery nurses, midwives
  • nursery professionals…
  • 10 to 100 people

Our training courses are accessible to people with disabilities, please notify us of your needs (one month before the course) in the contact form. If you meet the pre-requisites and the public concerned, we will adapt your welcome and teaching methods.

PREREQUISITES

  •  Knowledge of normal child development between 0 and 2 years
  • Working with babies from 0 to 24 months

DURATION AND TEACHING METHODS

  • Dates: to come
  • Duration: 3 hours synchronous
  • Modalities: online training available in-house for your team. The content can be adapted to your needs. The replay of the webinar can be made available for a week after the training, as well as additional educational resources.
  • Please contact us at least 30 days before the start of the training

RATES

  •  €60/person (student or group rate, contact us)
  • Webinar available in-house from 20 people (98 maximum), contact us for a quote

EVALUATION AND IMPROVEMENT OF THE TRAINING QUALITY The evaluations carried out on the spot (at the end of the training) and afterwards (1 to 3 months after the training sessions) allow us to collect your comments and suggestions for improvement. They are also sent to the trainers. The evaluation procedure also makes it possible to determine whether the trainee has acquired the knowledge whose mastery constitutes the initial objective of the action.

  • Before : An interview with the managers of the institution or association requesting the training to assess the needs and expectations of the participants with regard to the training.
  • During : Learning activities are monitored through the recording of webinar attendance. Exchanges on the understanding of the tool, their questioning on the implementation in their daily professional life.
  • Afterwards: End-of-training evaluation after the webinar, followed by a cold evaluation by questionnaire sent by e-mail, 3 months after the end of the training.

MEANS OF MONITORING THE COURSE For this distance learning course, the learning activities are monitored by recording attendance at the webinar. A certificate will be given to the trainee at the end of the training. Training carried out in-house with several teams:

  • Association Pré-en-bulle, Belgium
  • Cook Children Hospital, USA
  • REALISM, Belgium
  • BRU-STARS, Belgium

 

    QUALITY AND SATISFACTION

    during the last training

    94

    Satisfaction rate for the training progression

    98

    Satisfaction rate for the training content

    86

    Training efficiency

    41

    Number of learners trained

    ”Well-targeted subject, theory and clear examples complemented each other perfectly. References to study authors were also very valuable.

    PsychologistAnswer to the question, what are the strengths of the training?

    ”The clarity of the explanations, the surveys that allow you to participate and think for yourself, to see if you really understand. It's not drawn in length and it was very interesting. The videos help a lot to understand what was explained to us just before.

    Pediatric nurseAnswer to the question, what are the strengths of the training?

    ”Very clear trainer, well structured training, great management of the computer tool, interactive

    PsychologistAnswer to the question, what are the strengths of the training?

    Last edited 21/10/2022