2019冠状病毒病大流行期间巴厘岛布莱棱区以医院为基础的登革热出血热监测管理

I. G. Peri Arista, A. Sawitri, I. M. S. Yatra
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引用次数: 0

摘要

布莱伦是印度尼西亚2021年登革出血热病例最多的地区。为降低发病率和预防疫情的发生,有必要对监测系统进行评估。本研究的目的是评价布列楞地区登革出血热监测的实施情况。本研究是在新冠肺炎大流行期间进行的定性研究。研究地点在布列楞区,共有27名被调查者,其中包括来自区卫生局的一名监督官员和来自医院和初级保健机构的26名监督官员。主要数据通过深度访谈收集,次要数据通过文献研究收集。本研究采用三角测量技术,利用IBM SPSS Statistics version 22辅助的描述性分析方法对被调查者的特征进行分析,采用表格形式呈现,监测属性分析采用叙事形式呈现的数据约简方法。结果表明,11.1%的警官高中以上学历,25.9%的警官从未接受过培训,92.6%的警官执行过多种任务,3.7%的警官参加过一年以下的项目,29.6%的警官年龄在40岁以上,没有预算授权幼虫监测项目,敏感性和阳性预测值较低,数据质量、可接受性、代表性和稳定性不佳。由于有限的人力、成本和一些监测属性未达到标准,监测的实施并不理想。需要改进病例的报告和诊断,作为预防和控制登革出血热努力的第一步。
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Hospital based dengue hemorrhagic fever surveillance management in Buleleng District, Bali during Covid-19 pandemic
Buleleng is district with the highest cases of Dengue Hemorrhagic Fever (DHF) in Indonesia on 2021. To reduce morbidity and prevent the event of the outbreak, it is necessary to evaluate the surveillance system. The purpose of this study was to evaluate the implementation of DHF surveillance in the Buleleng District. This research is a qualitative study conducted during the Covid-19 pandemic. The research location was in the Buleleng District to 27 informants consisting of one surveillance officer from the district health office and 26 surveillance officers from the hospitals and primary health care. Primary data collected using in-depth interviews and secondary data using document studies. This research uses the triangulation technique, analyzed of  respondent characteristics was carried out using descriptive analysis assisted by IBM SPSS Statistics version 22 presented using  tables and surveillance attribute analysis is carried out by data reduction presented in narrative form. The results showed that 11.1% of officers were still educated to high school, 25.9% of officers had never been trained, 92.6% of officers carried out multiple tasks, 3.7% of officers held programs under one year, 29.6% of officers were aged above 40 years, there is no budget for the empowerment of larva monitoring program, sensitivity and positive predictive value is quite low, data quality, acceptability, representativeness and stability are not optimal. The implementation of the surveillance has not been optimal due to limited manpower, cost and unfulfilled standards for several surveillance attributes. Reporting and diagnosis of cases need to be improved as the first step in efforts to prevent and control DHF.
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