Craig Adam T, Joshua Cynthia A, Sio Alison R, Lauri Michael, Kaldor John, Rosewell Alexander E, Schierhout Gill
The Kirby Institute, University of New South Wales, Wallace Wurth Building, High St, Kensington, NSW, 2052, Australia.
Solomon Islands Ministry of Health and Medical Services, PO Box 349, Honiara, Solomon Islands.
BMC Health Serv Res. 2018 Sep 10;18(1):702. doi: 10.1186/s12913-018-3508-9.
Intelligence generated by a surveillance system is dependent on the quality of data that are collected. We investigated the knowledge, attitudes and practices of nurses responsible for outbreak early warning surveillance data collection in Solomon Islands to identify factors that influence their ability to perform surveillance-related tasks with rigour.
We interviewed 12 purposively selected surveillance nurses and conducted inductive analysis on resulting data.
Interviewees were knowledgeable and willing to contribute to the surveillance system. Constraining factors included the perception that surveillance was less important than patient care and could be 'deferred' during busy periods and wide variability in the application of case definitions. Motivating factors were frequent in-clinic training, formal recognition for good performance, incentives and designation of a focal point. Nurses held mixed views about the effect of mobile technologies on surveillance practice.
This study identified several challenges to consistent and accurate data collection and reporting. Engagement of different parts of the health system, including human resources and health facilities' management, is needed to address these challenges.
监测系统所产生的情报依赖于所收集数据的质量。我们调查了所罗门群岛负责疫情早期预警监测数据收集的护士的知识、态度和做法，以确定影响他们严格执行监测相关任务能力的因素。
我们对12名经过有目的挑选的监测护士进行了访谈，并对所得数据进行归纳分析。
受访者知识丰富且愿意为监测系统做出贡献。制约因素包括认为监测不如患者护理重要，在繁忙时期可以“推迟”，以及病例定义的应用存在很大差异。激励因素包括频繁的诊所内培训、对良好表现的正式认可、激励措施以及指定一个联络点。护士们对移动技术对监测实践的影响看法不一。
本研究确定了在数据收集和报告的一致性和准确性方面存在的若干挑战。需要卫生系统的不同部门，包括人力资源和卫生设施管理部门参与进来，以应对这些挑战。
