Application of WHO's guideline for the selection of sentinel sites for hospital-based influenza surveillance in Indonesia
Application of WHO's guideline for the selection of sentinel sites for hospital-based influenza surveillance in Indonesia
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DOI：
10.1186/1472-6963-14-424
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发表时间：
2014-09-23
影响因子：
2.8
通讯作者：
Samaan, Gina
中科院分区：
文献类型：
--
作者：
Susilarini, Ni Ketut;Sitorus, Martahan;Samaan, Gina
背景：印度尼西亚于2013年建立了以哨点医院为基础的严重急性呼吸道感染（SARI）监测系统。确定监测点的数量、地理位置和医院是一项挑战。根据最近公布的世界卫生组织流感监测指南（2012年），本研究提出了医院哨点sentinel sites selection.Methods的过程：从2,165家医院在印度尼西亚，第一步是入围到医院，以前参加了呼吸道疾病监测系统，并有可接受的监测业绩的历史。第二步是按照印度尼西亚的五个地区对短名单进行分类，以最大限度地扩大地域代表性。根据世卫组织建议的哨点选择属性，包括稳定性、可行性、代表性和数据的可得性，制定了一份清单，以便进行疾病负担估计。对八家医院（每个地理区域最多两家）进行了检查单管理访问。从八家医院的检查表结果进行了分析，并选择在第三步sentinel sites.Results：六家医院可以选择基于可用的资源，以确保系统的稳定性超过三年的时间。就可行性而言，访问的所有八家医院都有样本运输机制和报告监测数据的能力，但有两家医院参与系统的动机有限。为了具有代表性，这八家医院在地理上分散在印度尼西亚各地，所有医院都可以收集所有年龄和社会经济群体的病例。所有八家医院都有必要的人口数据，以便能够估计疾病负担。两个低动机的医院被排除在外，其余6个被选为哨兵situes.Conclusions：多步骤的过程，使哨兵网站选择的基础上，强调正确的监测系统，以确保其稳定性和最大限度地提高其地理代表性的世界卫生组织建议的属性。这一经验可指导其他有兴趣采用世卫组织流感监测标准选择哨点的国家。
Background: A sentinel hospital-based severe acute respiratory infection (SARI) surveillance system was established in Indonesia in 2013. Deciding on the number, geographic location and hospitals to be selected as sentinel sites was a challenge. Based on the recently published WHO guideline for influenza surveillance (2012), this study presents the process for hospital sentinel site selection.Methods: From the 2,165 hospitals in Indonesia, the first step was to shortlist to hospitals that had previously participated in respiratory disease surveillance systems and had acceptable surveillance performance history. The second step involved categorizing the shortlist according to five regions in Indonesia to maximize geographic representativeness. A checklist was developed based on the WHO recommended attributes for sentinel site selection including stability, feasibility, representativeness and the availability of data to enable disease burden estimation. Eight hospitals, a maximum of two per geographic region, were visited for checklist administration. Checklist findings from the eight hospitals were analyzed and sentinel sites selected in the third step.Results: Six hospitals could be selected based on resources available to ensure system stability over a three-year period. For feasibility, all eight hospitals visited had mechanisms for specimen shipment and the capacity to report surveillance data, but two had limited motivation for system participation. For representativeness, the eight hospitals were geographically dispersed around Indonesia, and all could capture cases in all age and socio-economic groups. All eight hospitals had prerequisite population data to enable disease burden estimation. The two hospitals with low motivation were excluded and the remaining six were selected as sentinel sites.Conclusions: The multi-step process enabled sentinel site selection based on the WHO recommended attributes that emphasize right-sizing the surveillance system to ensure its stability and maximizing its geographic representativeness. This experience may guide other countries interested in adopting WHO's influenza surveillance standards for sentinel site selection.