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Mapping evidence-based interventions to the care of unaccompanied minor refugees using a group formulation approach

Published online by Cambridge University Press:  17 November 2023

V. B. Dobler*
Affiliation:
Cambridgeshire and Peterborough NHS Foundation Trust, Fulbourn, Cambridge, UK Department of Child and Adolescent Psychiatry/Psychotherapy, University of Ulm, D-89075 Ulm, Germany
Judith Nestler
Affiliation:
Department of Child and Adolescent Psychiatry/Psychotherapy, University of Ulm, D-89075 Ulm, Germany
Maren Konzelmann
Affiliation:
University of Ulm, 89075 Ulm, Germany
Helen Kennerley
Affiliation:
Oxford Cognitive Therapy Centre, Warneford Hospital, Oxford, UK
*
Corresponding author: V. B. Dobler; Email: Veronika.dobler@cpft.nhs.uk
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Abstract

Background:

How we adapt treatment algorithms to complex, clinically untested, difficult-to-engage patient groups without losing evidence base in everyday practice is a clinical challenge. Here we describe process and reasoning for fast, pragmatic, context-relevant and service-based adaptations of a group intervention for unaccompanied minor asylum seekers (UASC) arriving in Europe. We employed a distillation-matching model and deployment-focused process in a mixed-method, top-down (theory-driven) and bottom-up (participant-informed) approach. Prevalence of mental disorders amongst UASC is extremely high. They also represent a marginalised and hard-to-engage group with limited evidence for effective treatments.

Method:

Content and process adaptations followed four steps: (1) descriptive local group characterisation and theoretical formulation of problems; (2) initial adaptation of evidenced treatment, based on problem-to-component grid; (3) iterative adaptation using triangulated feedback; and (4) small-scale pilot evaluation.

Results:

Based on evidence and participant feedback, adaptations included minimising verbal demands, facilitating in-session inductive learning, fostering social connectedness via games, enhancing problem-solving skills, accounting for multi-traumatisation, uncertainty and deportation. Quantitative evaluation suggested improved feasibility, with increased attendance, low drop-out and symptom improvement on depression and trauma scores.

Conclusions:

By describing the principles under-pinning development of a group intervention for severely traumatised UASC, we contribute to the literature supporting dynamic adaptations of psychological interventions, without losing reference to evidence base. Complex and difficult-to-reach clinical groups are often those in most need of care, yet least researched and most affected by inequality of care. Pragmatic adaptations of proven programs are often necessary to increase feasibility.

Information

Type
Main
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of British Association for Behavioural and Cognitive Psychotherapies
Figure 0

Table 1. Mapping evidence-based interventions to the care of unaccompanied minor refugees using a group formulation approach

Figure 1

Figure 1. Psychological formulation. The psychological formulation considered the tripartite process of migration. UASC accumulate developmental stressors. These add to the stressors of extreme trauma, moral injury, grief, ongoing uncertainty or worry. Furthermore, the neurophysiological impact of stress interferes with the ability to socially connect, engage in education and negotiate integration, overall resulting in a perpetuating vicious cycle. UASC often report a sense of overwhelm and helplessness.

Figure 2

Table 2. Mapping evidence-based interventions to the care of unaccompanied minor refugees using a group formulation approach

Figure 3

Figure 2. Drop-out and attendance. Drop-out group 1–7: group 1: n=4 (100%), group 2: n=3 (75%), group 3: n=2 (50%), groups 4–7: n=1 [20% (group 6)]. Attendance groups 1–7: group 1: mean = 30% (min 20%, max 40%), group 2: mean = 40% (min 20%, max 100%), group 3: mean = 56.5% (min 25%, max 88%), group 4: mean = 79.33% (min 63%, max 100%), group 5: mean = 94% (min 88%, max 100%), group 6: mean = 62% (min 50%, max 90%), group 7: mean = 90.2% (min 83%, max 92%).

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