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Attacks against health care in Syria, 2015–16: results from a real-time reporting tool

机译:2015 - 16年叙利亚对医疗保健的攻击:实时报告工具的结果

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Summary Background Collecting credible data on violence against health services, health workers, and patients in war zones is a massive challenge, but crucial to understanding the extent to which international humanitarian law is being breached. We describe a new system used mainly in areas of Syria with a substantial presence of armed opposition groups since November, 2015, to detect and verify attacks on health-care services and describe their effect. Methods All Turkey health cluster organisations with a physical presence in Syria, either through deployed and locally employed staff, were asked to participate in the Monitoring Violence against Health Care (MVH) alert network. The Turkey hub of the health cluster, a UN-activated humanitarian health coordination body, received alerts from health cluster partners via WhatsApp and an anonymised online data-entry tool. Field staff were asked to seek further information by interviewing victims and other witnesses when possible. The MVH data team triangulated alerts to identify individual events and distributed a preliminary flash update of key information (location, type of service, modality of attack, deaths, and casualties) to partners, WHO, United Nations Office for the Coordination of Humanitarian Affairs, and donors. The team also received and entered alerts from several large non-health cluster organisations (known as external partners, who do their own information-gathering and verification processes before sharing their information). Each incident was then assessed in a stringent process of information-matching. Attacks were deemed to be verified if they were reported by a minimum of one health cluster partner and one external partner, and the majority of the key datapoints matched. Alerts that did not meet this standard were deemed to be unverified. Results were tabulated to describe attack occurrence and impact, disaggregated where possible by age, sex, and location. Findings Between early November, 2015, and Dec 31 2016, 938 people were directly harmed in 402 incidents of violence against health care: 677 (72%) were wounded and 261 (28%) were killed. Most of the dead were adult males (68%), but the highest case fatality (39%) was seen in children aged younger than 5 years. 24% of attack victims were health workers. Around 44% of hospitals and 5% of all primary care clinics in mainly areas with a substantial presence of armed opposition groups experienced attacks. Aerial bombardment was the main form of attack. A third of health-care services were hit more than once. Services providing trauma care were attacked more than other services. Interpretation The data system used in this study addressed double-counting, reduced the effect of potentially biased self-reports, and produced credible data from anonymous information. The MVH tool could be feasibly deployed in many conflict areas. Reliable data are essential to show how far warring parties have strayed from international law protecting health care in conflict and to effectively harness legal mechanisms to discourage future perpetrators. Funding None. ]]>
机译:摘要背景收集对卫生服务,卫生工作者和战区患者的暴力行为的可信数据是一种巨大的挑战,但对理解国际人道法被违反的程度至关重要。我们描述了一个主要在叙利亚地区使用的新系统,自2015年11月以来,自2015年11月以来,武装反对派群体的大量存在,检测和验证对卫生保健服务的攻击并描述其效果。方法通过部署和本地工作人员,所有土耳其健康组织的所有土耳其健康集群组织都被要求参与监测对医疗保健(MVH)警报网络的暴力行为。健康集群的土耳其中心是一个未激活的人道主义健康协调机构,通过WhatsApp和一个匿名的在刑多个在线数据输入工具收到了来自健康群合作伙伴的警报。要求现场工作人员通过在可能的情况下采访受害者和其他证人来寻求进一步的信息。 MVH数据团队三角形警报,以识别各个事件,并分发对合作伙伴的关键信息(地点,服务,攻击,死亡和伤亡人员的位置,攻击,死亡和伤亡人数的初步更新,谁是联合国人道主义事务协调办公室,和捐赠者。该团队还收到并进入了几个大型非健康组织(称为外部合作伙伴)的警报(称为外部合作伙伴,在分享其信息之前进行自己的信息收集和验证流程)。然后在信息匹配的严格过程中评估每个事件。如果他们报告的一个健康集群伙伴和一个外部合作伙伴报告,则视为攻击被视为验证,以及匹配的大多数密钥数据点。不符合本标准的警报被视为未经验证。结果表明,以描述攻击发生和影响,在可能年龄,性别和地点的情况下分解。 2015年11月初和2016年12月31日的调查结果,938人在402个暴力抵御医疗保健事件中直接损害:677(72%)受伤,261名(28%)被杀死。大部分死亡是成年男性(68%),但在5岁以下的儿童中看到了最高的病例(39%)。 24%的攻击受害者是卫生工作者。大约44%的医院和5%的初级保健诊所主要是具有大量武装反对派群体经历攻击的领域。空中轰炸是主要的攻击形式。三分之一的医疗保健服务被击中多次。提供创伤护理的服务遭到攻击多于其他服务。解释本研究中使用的数据系统解决了双重计数,减少了潜在偏置的自我报告的效果,并从匿名信息中产生可靠的数据。 MVH工具可以在许多冲突地区进行可行部署。可靠的数据对于展示战争各方从冲突中保护医疗保健的国际法以及有效地利用法律机制来阻止未来的肇事者,以妨碍未来的肇事者,这是至关重要的。没有资助。 ]]>

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