From Concept to Rapid Visualization a Data Analytics Case Study Gregory Wozniak, PhD Director of Outcomes Analytics Health Outcomes Group American Medical Association
The Journey
Objectives Share experiences and lessons learned from a multi-stakeholder, multidisciplinary collaboration in exploring the use of visual analytics to transform data into information various AMA units & Mikan Associates To analyze patterns and trends in antihypertensive medication (AHM) use, the AMA and CDC contracted with IMS Health to acquire state level data on AHM fills and spending for 2009-2013 Present the case study of developing an interactive mapping application to assess variation in AHM prescribing behavior among physicians and non-physicians
The Toll of CVD and HTN Cardiovascular disease causes one-third of all deaths in the United States About 70 million American adults (29%) have high blood pressure In 2010, hypertension (HTN) was identified as the underlying or contributing cause in more than 360,000 deaths High blood pressure costs the nation $46 billion each year, including the cost of health care services, medications to treat high blood pressure, and missed days of work Despite the potential to prevent or manage HTN through diet and lifestyle modifications, most need antihypertensive medications (AHM) to control their blood pressure
CONFIDENTIAL Hypertension A Major Risk Factor in CVD Hypertension or elevated BP = systolic BP 140 mmhg or their diastolic BP was 90 mmhg Hypertension control = BP not elevated (BP < 140/90 mm Hg) Key reasons for poor BP control patients lack awareness of their hypertension status ineffective pharmacologic management - treatment inertia, and inadequate health care system adoption and consistent implementation of evidence-based guidelines poor patient adherence to their AHM therapy regimens due to numerous individual and environmental factors 5
Hypertension Awareness, Treatment and Control, NHANES 2007-2012
AMA Focus on Improving Health Outcomes One of 3 focus areas under new strategic plan (2012) Improving health outcomes Shaping new delivery and payment models Accelerating change in medical education Improving health outcomes: Long-term goals Prevent heart disease, stroke and type 2 diabetes Improve health outcomes for these conditions 7
AHM Visualization Project The initial concept was to expand the AMA IHO web presence: static visualizations of state-level data on AHM fills and spending be public facing resource for healthcare providers, public payers, and state health departments supplement AMA IHO research and publication agendas The analytic objective was to provide actionable insights and data on AHM cost burden and opportunities for improved AHM adherence: associations between AHM fills or spending and improvement in hypertension outcomes variation and trends in AHM prescribing behavior physician peer-group comparisons potential AHM cost savings through expanded generic Rx programs and formulary review
Mikan Associates Adaptive Iterative Methodology Iterative Feedback to Ensure Solution Provides Value Business Objectives Data Data Model ETL Visualization Mockups Connected Dashboards Final Solution Define KPIs Feedback 9
Adaptive Iterative Methodology Begin with Business Objectives Identify key metrics Use mockup dashboards for iterative Visualization development Continuous feedback from users Mockup data first to confirm data model for source data Connect mockup dashboards to final data source
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Planned Data Visualization Fill counts or spending by state, medication class, and year, by Brand/Generic Prescriber Type Payment Type Gender Age Group New vs. Refill 13
Planned Data Visualization Fill counts or spending by state, medication class, and year, per 1,000 Adults Hypertensive Adults Physicians Non-Physicians 14
Status Building beta versions of the applications provided valuable first use cases and user experience feedback for refining the application. Usability testing of the pre-production version is ongoing with publishing the interactive dashboards to the web in QII-2015 Data update 2014 data, new data structure
Questions? Gregory Wozniak, PhD greg.wozniak@ama-assn.org