Centers for Disease Control and Prevention, Atlanta, GA, USA.
International Federation of the Red Cross and Red Crescent Societies, Geneva, Switzerland.
Glob Health Sci Pract. 2021 Jun 30;9(2):332-343. doi: 10.9745/GHSP-D-21-00144.
Efforts to contain the spread of Ebola in the eastern Democratic Republic of the Congo (DRC) during the 2018-2020 epidemic faced challenges in gaining community trust and participation. This affected implementation of community alerts, early isolation, contact tracing, vaccination, and safe and dignified burials. To quickly understand community perspectives and improve community engagement, collaborators from the DRC Red Cross, the International Federation of the Red Cross, and the U.S. Centers for Disease Control and Prevention explored a new method of collecting, coding, and quickly analyzing community feedback.
Over 800 DRC Red Cross local volunteers recorded unstructured, free-text questions and comments from community members during community Ebola awareness activities. Comments were coded and analyzed using a text-coding system developed by the collaborators. Coded comments were then aggregated and qualitatively grouped into major themes, and time trends were examined.
Communities reported a lack of information about the outbreak and the response, as well as concerns about the Ebola vaccination program and health care quality. Some doubted that Ebola was real. The response used the feedback to revise some community engagement approaches. For example, 2 procedural changes that were followed by drops in negative community responses were: using transparent body bags, which allayed fears that bodies or organs were being stolen, and widening the eligibility criteria for Ebola vaccination, which addressed concerns that selectively vaccinating individuals within Ebola-affected communities was unfair.
This system is unique in that unstructured feedback collected by local volunteers in the course of their work was rapidly coded, analyzed, and given to health authorities for use in making course corrections throughout the response. It provides a platform for local voices to be heard throughout an emergency response and provides a mechanism for assessing the effects of program adjustments on community sentiments.
在 2018 年至 2020 年期间,刚果民主共和国(刚果(金))东部为控制埃博拉疫情蔓延付出了努力,但在获得社区信任和参与方面面临挑战。这影响了社区警报、早期隔离、接触者追踪、接种疫苗以及安全和有尊严的埋葬工作的实施。为了快速了解社区观点并改善社区参与度,刚果(金)红十字会、国际红十字与红新月运动和美国疾病控制与预防中心的合作者探索了一种新的方法,用于收集、编码和快速分析社区反馈。
超过 800 名刚果(金)红十字会当地志愿者在社区埃博拉意识活动期间记录了社区成员提出的非结构化、自由文本问题和意见。评论使用合作者开发的文本编码系统进行编码和分析。然后将编码的评论汇总并按主要主题进行定性分组,并检查时间趋势。
社区报告缺乏有关疫情和应对措施的信息,以及对埃博拉疫苗接种计划和医疗质量的担忧。一些人怀疑埃博拉是否真实存在。应对措施利用反馈修改了一些社区参与方法。例如,两项程序上的改变在得到实施后,社区的负面反应有所减少:使用透明裹尸袋,消除了对尸体或器官被偷的担忧;扩大了埃博拉疫苗接种的资格标准,解决了选择性在受埃博拉影响的社区内为个人接种疫苗不公平的问题。
该系统的独特之处在于,当地志愿者在工作过程中收集的非结构化反馈意见被快速编码、分析,并提供给卫生当局,用于在整个应对过程中及时调整。它为当地声音提供了一个在整个紧急情况应对过程中被听到的平台,并提供了一个评估方案调整对社区情绪影响的机制。