Abstract
BackgroundDashboards 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.ObjectiveWe 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.MethodsThe 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.ResultsOf 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.ConclusionsOur 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.
Highlights
Global population growth has been accompanied by a corresponding expansion of health datasets
Our findings reveal the potential of Google Analytics as a tool to enhance user traffic and performance of the Ending the Epidemic (ETE) geovisualization platform by using feedback from regular monitoring of key parameters including page bounce rates and average time on page
The usage distribution implies the need for improved search engine optimization that facilitates easy location of the ETE site in other parts of the world, since the majority of traffic to the site was via direct sources
Summary
Global population growth has been accompanied by a corresponding expansion of health datasets. The relevance of big data in health care has been exemplified by its use in assessing hospital readmission patterns, mining of medical data to identify most effective treatments for health conditions, and identifying innovative methods to reduce patient costs [1]. Generating such aggregate data is facilitated by advances in technology, as recent trends indicate a rise in innovative tools to foster improved dissemination and use of health data in decision making [1]. Dashboards have been increasingly used in clinic-based interventions, such as clinical performance improvement and monitoring risk of hospital readmissions, and are gaining traction in population-based interventions, especially in disease assessment
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