上海市疑似预防接种异常反应监测系统的SWOT分析

发布时间：2018-11-15 10:19

【摘要】：目的分析上海市疑似预防接种异常反应(AEFI)监测系统具有的优势和劣势,以及面临的机遇和挑战,并探讨加强和完善上海市AEFI监测系统的策略与方法。方法采用优劣势分析(SWOT)法分析上海市AEFI监测系统的优势因素(Strengths,S)、劣势因素(Weaknesses,W)、机会因素(Opportunities,O)和威胁因素(Threats,T),将S、W、O、T相组合,建立SWOT矩阵,形成SO、ST、WO、WT策略。结果上海市AEFI监测系统的内部S为制度完善、监测网络健全、医疗资源充足、人员素质高、经费保障充足;内部W为工作量增加、工作人员数量相对不足、激励机制缺乏、专业技术手段缺乏、监测方法有待改进;外部O为国家层面支持、多部门合作、公众自我保护意识增强;外部T为补偿机制有待完善、媒体报道有失偏颇、公众对专业机构的信任危机。结论上海市AEFI监测系统已经进入良性发展的轨道;仍需利用S和O,克服W与T,进一步完善AEFI监测系统,保障预防接种安全。
[Abstract]:Objective to analyze the advantages and disadvantages, opportunities and challenges of the (AEFI) surveillance system for the abnormal response to suspected vaccination in Shanghai, and to explore the strategies and methods to strengthen and perfect the AEFI monitoring system in Shanghai. Methods the advantage factor (Strengths,S), inferior factor (Weaknesses,W), opportunity factor (Opportunities,O) and threat factor (Threats,T) of Shanghai AEFI monitoring system were analyzed by (SWOT) method. The SWOT matrix is established and the SO,ST,WO,WT strategy is formed. Results the internal S of AEFI monitoring system in Shanghai was perfect, the monitoring network was perfect, the medical resources were sufficient, the quality of personnel was high, and the funds were sufficient. The internal W is the increase of workload, the relatively insufficient number of staff, the lack of incentive mechanism, the lack of professional technical means, the lack of monitoring methods, the external O is the support at the national level, the multi-sectoral cooperation, the public self-protection consciousness is enhanced; The external T compensation mechanism needs to be improved, media reports are biased, and the public trust crisis in professional institutions. Conclusion the AEFI monitoring system in Shanghai has entered the track of benign development, and it is still necessary to use S and O to overcome W and Tand to further improve the AEFI monitoring system to ensure the safety of vaccination.
【作者单位】：上海市疾病预防控制中心;
【基金】：上海市卫生和计划生育委员会科研课题(编号:201440627)
【分类号】：R186

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