TY - JOUR AU - Lwin, May O AU - Vijaykumar, Santosh AU - Rathnayake, Vajira Sampath AU - Lim, Gentatsu AU - Panchapakesan, Chitra AU - Foo, Schubert AU - Wijayamuni, Ruwan AU - Wimalaratne, Prasad AU - Fernando，欧文·诺埃尔·牛顿PY - 2016 DA - 2016/07/01 TI -一个社交媒体移动卫生解决方案，以解决斯里兰卡登革热预防和管理的需求JO - J医疗互联网Res SP - e149 VL - 18 IS - 7千瓦-登革热千瓦-公共卫生检查员千瓦-移动卫生千瓦-社交媒体千瓦-监测千瓦-需求评估千瓦-预防和管理AB -背景:在过去五年中，斯里兰卡发生了一系列登革热疫情，其中政治首都科伦坡所在的西部省份承担了一半以上的登革热负担。现有的登革热监测预防计划已不堪重负，因为公共卫生检查员要应付日益增加的工作量和纸质的监测和教育模式，这表明反应性系统无法应对这一问题的严重性。另一方面，自2009年以来，移动电话的空前普及和可负担性以及支持性的政治气候迄今仍未被用于使用基于移动的干预措施进行登革热管理。目的:对科伦坡公共卫生部门的登革热相关任务进行需求评估，并开发一种新的基于移动的系统，在加强现有系统的同时满足这些需求。方法:对29名公共卫生医生进行一对一的深入访谈，以a)获得对监测实践现状的细致入微的深入了解，b)了解他们所面临的后勤、技术和社会挑战，c)确定基于移动的干预的机会。定量分析包括简单的描述性统计，而定性分析包括使用根植理论方法对209页文本(或近600分钟的对话)进行文本分析。结果:目前登革热监测的纸质数据收集实践涉及一个迂回、耗时的过程，可能需要7-10天才能正式报告和记录单个病例。公共卫生部门面临的挑战包括不可靠的独立地理信息系统设备、蚊子滋生地点登记的延误以及在提供登革热教育时社区缺乏参与。 These findings, in concert with a high motivation to use mobile-based systems, informed the development of Mo-Buzz, a mobile-based system that integrates three components – digitized surveillance, dynamic disease mapping and digitized dengue education – on a common platform. The system was developed through an iterative, evolutionary, collaborative process, consistent with the Spiral model of software development and is currently being used by all 55 PHIs in the CMC system. Conclusions: Given the entrenched nature of existing paper-based systems in PHIs’ work habits, we expect a gradual adoption curve for Mo-Buzz in the future. Equally, we expect variable adoption of the system with respect to its specific components, and specific PHI sub-groups (younger versus older). The Mo-Buzz intervention is a response to multiple calls by the global mHealth community for collaborations in the area of mobile interventions for global health. Our experience revealed that the benefits of this paradigm lies in alleviating country-specific public health challenges through a commonly shared understanding of cultural mores, and sharing of knowledge and technologies. We call upon future researchers to further dissect the applicability of the Spiral Model of software development to mHealth interventions and contribute to the mHealth evidence debate from theoretical and applied perspectives. SN - 1438-8871 UR - //www.mybigtv.com/2016/7/e149/ UR - https://doi.org/10.2196/jmir.4657 UR - http://www.ncbi.nlm.nih.gov/pubmed/27369296 DO - 10.2196/jmir.4657 ID - info:doi/10.2196/jmir.4657 ER -