Identifying best practice for the supervision of mental health and psychosocial support in humanitarian emergencies: a Delphi study

Author:

Travers ÁineORCID,Abujaber Nadeen,McBride Kelly A,Tingsted Blum Pia,Wiedemann Nana,Vallières Frédérique

Abstract

Abstract Background Supportive supervision has been shown to improve worker resilience and wellbeing, which are particularly important in the context of humanitarian emergency settings. Despite its noted importance however, supervision remains an under-prioritised area in mental health and psychosocial support (MHPSS). Method The present study used a Delphi consensus-building methodology to examine levels of agreement among a diverse sample of MHPSS stakeholders (n = 48) on key ideas and concepts relating to supervision in humanitarian settings. Results The majority of statements presented showed a high degree of consensus, with some receiving almost universal agreement, such as the importance of using active listening skills in the supervisory context and the need for supervisors to have access to their own supervisory support. However, disagreement on several points remained. For example, participants disagreed about whether the qualities required to be an effective supervisor can be taught, or whether they are more innate and should be screened for when recruiting supervisors. Gender differences in responses were also analysed, with potential associations between gender and level of agreement emerging in relation to statements about power dynamics, remote supervision, and intervention quality enhancement. Conclusions The findings of the present study are discussed in terms of their implications for a forthcoming set of guidelines for supervision of MHPSS in humanitarian settings: The Integrated Model for Supervision (IMS).

Funder

usaid bureau for humanitarian assistance

Publisher

Springer Science and Business Media LLC

Subject

Psychiatry and Mental health,Public Health, Environmental and Occupational Health,Health Policy,Pshychiatric Mental Health

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3