Assessing attachment for family court decision making

Autor: Andrea Landini, Patricia M. Crittenden, Steve Farnfield, Ben Grey
Rok vydání: 2013
Předmět:
Zdroj: Journal of Forensic Practice. 15:237-248
ISSN: 2050-8794
DOI: 10.1108/jfp-08-2012-0002
Popis: Purpose – Attachment has long been considered relevant to child care proceedings. However, compared to other forms of evidence, it has been limited by the lack of consistent methods of assessment, training of experts, and empirical evidence. To reduce these limitations, The International Association for the Study of Attachment (IASA) has developed a Family Attachment Court Protocol for assessment and formulation of attachment issues. The purpose of the Protocol is to act as a guide to good practice and to begin a process of improving the application of attachment to family court proceedings. Design/methodology/approach – The Dynamic-Maturational Model of Attachment and Adaptation (DMM) and its associated assessments were adapted for forensic use. The resulting Family Attachment Court Protocol was trialed in cases before 15 judges in five countries and modified based on feedback. Findings – The judges and most of the professionals working for the court expressed approval of the new Protocol. Research limitations/implications – Implementation of the Protocol will require additional authorised experts. Practical implications – The primary practical implication is that the courts will receive verifiable evidence on attachment can be tested and, thus, validated or disproven. Social implications – If accepted, the IASA Protocol will reduce the idiosyncratic nature of child care proceedings and increase the rigour of professional qualification to address attachment. Originality/value – The IASA Protocol is new and valuable because its theoretical underpinnings in the DMM are based on both clinical and also neurological evidence about protection from danger, and it can replace untestable expert opinion about attachment with evidence-based assessment and transparent formulation of recommendations.
Databáze: OpenAIRE