Asgary Ramin, Emery Eleanor, Wong Marcia
Department of Medicine, New York University School of Medicine, New York, NY 10016, USA.
Int Health. 2013 Jun;5(2):85-91. doi: 10.1093/inthealth/iht009.
Uncertainties continue regarding effective strategies to prevent and address the consequences of gender-based violence (GBV) among refugees. The databases of PubMed, Cochrane Library, Scopus, PsycINFO, Web of Science, Anthropology Plus, EMBASE, DARE, Google Scholar, MSF Field Research, UNHCR and the regional and global indices of the WHO Global Health Library were searched twice within a 6-month period (April and September 2011) for English-language clinical, public health, basic and social science studies evaluating strategies to prevent and manage health sequelae of GBV among refugees before September 2011. Studies not primarily about prevention and treatment, and not describing population, health outcome and interventions, were excluded. The literature search for the prevention and management arms produced 1212 and 1106 results, respectively. After reviewing the titles and abstracts, 29 and 27 articles were selected for review in their entirety, none of which met the inclusion criteria. Multiple panels of expert recommendations and guidelines were not supported by primary data on actual displaced populations. There is a dire need for research that evaluates the efficacy and effectiveness of various responses to GBV to ultimately allow a transition from largely theoretical and expertise driven to a more evidence-based field. We recommend strategies to improve data collection and to overcome barriers in primary data driven research.
关于预防和应对难民中基于性别的暴力(GBV)后果的有效策略,仍存在不确定性。在6个月内(2011年4月和9月),对PubMed、Cochrane图书馆、Scopus、PsycINFO、科学网、Anthropology Plus、EMBASE、DARE、谷歌学术、无国界医生组织实地研究、联合国难民署以及世界卫生组织全球健康图书馆的区域和全球索引数据库进行了两次检索,以查找2011年9月之前评估预防和管理难民中GBV健康后果策略的英文临床、公共卫生、基础和社会科学研究。主要不是关于预防和治疗,且未描述人群、健康结果和干预措施的研究被排除。预防和管理方面的文献检索分别产生了1212条和1106条结果。在审查标题和摘要后,分别选择了29篇和27篇文章进行全文审查,但没有一篇符合纳入标准。关于实际流离失所人群的原始数据并不支持多个专家建议和指南小组。迫切需要开展研究,评估对GBV的各种应对措施的效果和有效性,以便最终从主要由理论和专业知识驱动的状态转变为更基于证据的领域。我们建议采取策略来改善数据收集,并克服原始数据驱动研究中的障碍。