Scaling up task-sharing psychological interventions for refugees in Jordan: a qualitative study on the potential barriers and facilitators

Abstract

AbstractTraining nonspecialists in providing evidence-based psychological interventions (i.e. task-sharing) can effectively increase community access to psychological support. However, task-sharing interventions for this purpose are rarely used at scale. The aim of this study was to examine the factors influencing the potential for scaling up (i.e. scalability) of a task-sharing psychological intervention called Problem Management Plus (PM+) for Syrian refugees in Jordan. Semi-structured individual (n = 17) and group interviews (n = 20) were conducted with stakeholders knowledgeable about PM+ and the mental health system for Syrian refugees in Jordan. Using ‘system innovation perspective’, this study conceptualized the context as landscape developments, and systemic considerations were divided into culture (shared ways of thinking) and structure (ways of organizing). Political momentum was identified as a landscape trend likely facilitating scaling up, while predicted reductions in financial aid was regarded as a constraint. In terms of culture, the medicalized approach to mental health, stigma and gender were reported barriers for scaling up PM+. Using non-stigmatizing language and offering different modalities, childcare options and sessions outside of working hours were suggestions to reduce stigma, accommodate individual preferences and increase the demand for PM+. In relation to structure, the feasibility of scaling up PM+ largely depends on the ability to overcome legal barriers, limitations in human and financial resources and organizational challenges. We recommend sustainable funding to be made available for staff, training, supervision, infrastructure, coordination, expansion and evaluation of ‘actual’ scaling up of PM+. Future research may examine the local feasibility of various funding, training and supervision models. Lessons learned from actual scaling up of PM+ and similar task-sharing approaches need to be widely shared.