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首页> 外文期刊>JMIR public health and surveillance. >A Human-Centered Platform for HIV Infection Reduction in New York: Development and Usage Analysis of the Ending the Epidemic (ETE) Dashboard
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A Human-Centered Platform for HIV Infection Reduction in New York: Development and Usage Analysis of the Ending the Epidemic (ETE) Dashboard

机译：纽约以人为本的减少艾滋病毒感染的平台：终结流行病（ETE）仪表板的开发和使用情况分析

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Background: Dashboards have been increasingly used in clinic-based interventions, such as clinical performance improvement and monitoring risk of hospital readmissions, and are now gaining traction in population-based interventions, especially in disease assessment. Objective: We describe the design, development, and usage analysis of a geovisualization dashboard, the Ending the Epidemic (ETE) Dashboard. The ETE dashboard is a tool developed to track New York’s progress towards achieving the goal of its ETE Initiative, to reduce new HIV infections from 3000 per year to 750 per year by the end of 2020. Methods: The ETE dashboard was adapted from an existing human-centered geovisualization platform, SanaViz, an Internet-enabled, interactive app incorporating principles of human-centered design and cognitive fit theory to enhance visual exploration of population health data. Usage evaluation of the ETE geovisualization dashboard was conducted using Google Analytics over a 4-week period from March 19 to April 18, 2016. The aim was to monitor user activity and analyze traffic on the ETE dashboard using evidence-based metrics that can provide adequate feedback to enhance its utilization. Usage was characterized based on three metrics: (1) number of unique visits to each page, (2) average time on each page in seconds, and (3) page bounce rate (ie, percentage of visits where user left the site immediately after viewing just a single page). Further analysis was also conducted by cross-tabulating specific usage metrics. Results: Of 860 sessions, 324 sessions were initiated by unique users (37.7%). The most common acquisition channels included direct source (353/860, 41.0%); followed by referral traffic (340/860, 39.5%) and organic search (134/860, 15.5%). Usage statistics indicate that for the 860 sessions initiated by both new and returning users, the average viewing time was 8 minutes, 51 seconds, and the bounce rate was 46%. These statistics reflect positive results given that prior literature estimates an average session duration of 10-20 seconds and a bounce rate of 40-60% for most websites. Key findings from our study showed that the highest bounce rates were seen for the “About” page of the ETE website (65%), which describes the ETE initiative. The lowest bounce rates were seen for the ETE blog page (17%), consistent with prior research on website usage metrics that indicate that blog pages are often the most frequently viewed pages on Web portals. Conclusions: Our findings reveal the potential of Google Analytics as a tool to enhance user traffic and performance of the ETE geovisualization platform by using feedback from regular monitoring of key parameters including page bounce rates and average time on page. It also identifies the need for a follow-up usability assessment of the system.
机译：背景：仪表板已越来越多地用于基于临床的干预措施中，例如改善临床表现和监测住院再入院的风险，并且现在在基于人群的干预措施中越来越受到关注，尤其是在疾病评估中。目标：我们描述了地理可视化仪表板“终结流行病（ETE）仪表板”的设计，开发和使用情况分析。 ETE仪表板是一种工具，用于跟踪纽约在实现其ETE计划目标方面的进展，到2020年底将新的HIV感染从每年3000例减少到每年750例。方法：ETE仪表板改编自现有以人为中心的地理可视化平台SanaViz，这是一个基于Internet的交互式应用程序，结合了以人为中心的设计原理和认知拟合理论，以增强对人口健康数据的视觉探索。在2016年3月19日至4月18日的4周内，使用Google Analytics（分析）对ETE地理可视化仪表板进行了使用评估。其目的是监视用户活动并使用基于证据的指标分析ETE仪表板上的流量，这些指标可以提供足够的反馈以提高其利用率。使用情况的衡量基于以下三个指标：（1）每页的唯一访问次数;（2）每页的平均时间（以秒为单位）;（3）页面跳出率（即用户在访问后立即离开网站的访问次数所占的百分比）仅查看单个页面）。通过交叉制表特定的使用指标也进行了进一步的分析。结果：在860个会话中，有324个会话由唯一用户发起（占37.7％）。最常见的获取渠道包括直接来源（353 / 860，41.0％）;其次是引荐点击量（340 / 860，39.5％）和自然搜索（134 / 860，15.5％）。使用情况统计数据表明，对于新用户和回访用户发起的860个会话，平均观看时间为8分钟51秒，跳出率为46％。鉴于先前的文献估计大多数网站的平均会话持续时间为10-20秒，跳出率为40-60％，因此这些统计数据反映出了积极的结果。我们研究的主要发现表明，在ETE网站的“关于”页面上看到的跳出率最高（65％），该页面描述了ETE计划。 ETE博客页面的跳出率最低（17％），这与先前对网站使用率指标的研究一致，该研究表明博客页面通常是Web门户上最常查看的页面。结论：我们的发现揭示了Google Analytics（分析）作为一种工具的潜力，该工具可以通过定期监控关键参数（包括页面跳出率和平均页面停留时间）的反馈来增强ETE地理可视化平台的用户流量和性能。它还确定了对系统进行后续可用性评估的需要。

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