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首页> 外文期刊>Online Journal of Public Health Informatics >Implementation of a Facility Based County Surveillance System Using Epi Info
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Implementation of a Facility Based County Surveillance System Using Epi Info

机译:利用Epi信息实现基于设施的县级监视系统

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Objective The Florida Department of Health in Hillsborough County (DOH-Hillsborough) routinely reviews the ESSENCE-FL system to assess syndromic trends in emergency department (ED) and urgent care data (UCC). Collection of this type of symptom data from long term care facilities (LTCFs) and child care centers is of interest in order to better understand how these illness patterns present in vulnerable populations outside of the EDs. Introduction Surveillance in nursing homes (Enserink et al., 2011) and day care facilities (Enserink et al., 2012) has been conducted in the Netherlands, but is not commonly practiced in the United States (Buehler et al., 2008). Outbreaks of illnesses within these facilities are required to be reported to the Epidemiology Program, however a small fraction of outbreaks reported come from LTCFs. Without regular communication between LTCFs and the Epidemiology Program, it is likely that many outbreaks are going unreported due to lack of awareness of the reporting requirements by facility staff. To better understand the prevalence of illness in LTCFs and improve communication between LTCFs and DOH-Hillsborough a weekly surveillance survey was created using Epi Info web survey. Methods The online facility search tool from the Agency for Healthcare Administration (AHCA) was used to query assisted living facilities and nursing homes in Hillsborough County in July 2017. The information provided included the number of beds a facility is licensed to have. Interest in participation was solicited from larger LTCFs within the county in August 2017 and 23 facilities volunteered to receive weekly surveys, with a total volume of 3,276 beds. A form was created in Epi Info to capture weekly information per facility of the number of residents and staff with new onset of various symptoms. Symptom groups include GI, rash, respiratory, and those with respiratory symptoms who also have a fever (to assess influenza-like illness); number of positive flu tests for the week is also asked. Starting with week 38, an email has been sent once a week to participating facilities with a link to the Epi Info web survey (Figure 1) and instructions to fill out the information for the previous week. Results To date, 12 weeks of information has successfully been captured in Epi Info and transferred to Microsoft Excel for graphical visualization of percentage of residents/staff reported each week in the county with new onset of the above symptoms. Low levels of illness (6%/week of total reported residents/staff) have been reported for various syndromes each week. Over the 12 week period an average of 3.9 facilities submit data per week, with a total of 10 of 23 facilities participating at least once. In week 42 phone calls were made to faclities that had not submitted any responses in an attempt to elicit more participation and troubleshoot any problems faclities may have encountered. Prior to week 42, an average of 3.2 facilties reported per week. After reminder phone calls were conducted, the average number of responses for weeks 42-48 was 4.4 with the highest in week 42 (6 responses). Starting in week 42 the survey has also been implemented for 15 child care facilities, with four participating over the seven weeks with an average of 2.1 responses per week. Conclusions Since implementation, the main limitation with the data collection is lack of regular participation from facilities.The current goal of the project is to increase the number of regular responses from both LTCFs and child care facilities. The phone calls made in week 42 increased the response rate for LTCFs, particularly for that week. Preliminary results from the first 12 weeks of data indicate that using Epi Info web survey as a syndromic surveillance tool for local facilities has potential if regular participation can be acheived.
机译:目的希尔斯伯勒县(DOH-Hillsborough)的佛罗里达卫生署定期审查ESSENCE-FL系统,以评估急诊科(ED)和紧急护理数据(UCC)的症状发展趋势。从长期护理机构(LTCF)和儿童保育中心收集这类症状数据是有兴趣的,以便更好地了解这些疾病模式在急诊部以外的脆弱人群中的表现。引言在荷兰进行了疗养院(Enserink等人,2011)和日托设施(Enserink等人,2012)的监视,但在美国却不常见(Buehler等人,2008)。这些设施内的疾病暴发需要向流行病学计划报告,但是报告的暴发一小部分来自LTCF。如果LTCF与流行病学计划之间没有定期沟通,由于设施工作人员对报告要求的意识不足,许多暴发可能无法报告。为了更好地了解LTCF中的患病率并改善LTCF与DOH-Hillsborough之间的沟通,我们使用Epi Info网络调查创建了每周监视调查。方法2017年7月,卫生保健署(AHCA)的在线设施搜索工具用于查询希尔斯伯勒县的辅助生活设施和疗养院。所提供的信息包括该设施被许可拥有的床位数。 2017年8月,县内大型LTCF征集了参与兴趣,共有23家设施自愿接受每周调查,床位总数为3276张。在Epi信息中创建了一个表格,以收集每个设施每周的居民和工作人员人数信息,这些信息具有各种新症状。症状组包括胃肠道,皮疹,呼吸道疾病以及有发烧症状的呼吸道症状(以评估流感样疾病);还要求提供一周的阳性流感检测次数。从第38周开始,每周都会向参与活动的设施发送一封电子邮件,其中包含指向Epi Info网络调查(图1)的链接以及填写上一周信息的说明。结果迄今为止,已经在Epi信息中成功捕获了12周的信息,并将其转移到Microsoft Excel中,以图形化方式直观显示了该县每周因上述症状的新发病例而报告的居民/工作人员所占的百分比。每周都有各种综合症的发病率较低(报道的居民/工作人员每周少于6%)。在过去的12周中,平均每周有3.9家机构提交数据,而23家机构中的10家至少参与了一次。在第42周中,对尚未提交任何回复的设施进行了电话呼叫,试图引起更多的参与并解决可能遇到的任何问题。在第42周之前,每周平均报告3.2个设施。进行提醒电话呼叫后,第42-48周的平均回复数为4.4,而第42周的平均回复数最高(6个回复)。从第42周开始,还对15个儿童保育设施进行了调查,在七个星期中有4个参与,平均每周有2.1次答复。结论自实施以来,数据收集的主要局限性在于缺乏机构的定期参与。该项目的当前目标是增加长期筹资框架和儿童保育机构的定期回应数量。在第42周打出的电话增加了LTCF的响应率,尤其是在那一周。最初12周数据的初步结果表明,如果可以实现定期参与,则将Epi Epi Web调查用作本地设施的症状监测工具很有可能。

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