Measuring public health communication effectiveness with real time data from electronic health records
An automated extract of daily data from an EHR was developed to produce provider specific counts of office visits, influenza related diagnoses (using ICD-9 codes), antiviral prescriptions and vaccinations (CPT codes). This data is based on office visits that, in 2014, represented approximately 12,000 primary care providers across the United States, with approximately 700,000 visits per week.
For each day in the 2012-2013, 2013-2014 and 2014-2015 influenza seasons, we calculated rates of influenza-like illness (ILI) and antiviral prescriptions. Antiviral prescription rates did not increase after the December 3, 2014 CDC advisory, beyond seasonal increases in prescription rates that are positively correlated with ILI rates. We did find a linear-log relationship between antiviral prescription rates and ILI rates. We also found that antiviral prescription rates increased between the 2012-2013 and 2013-2014, and remained higher for the 2014-2015 season, compared to the 2012-2013 season.
Learning Areas:Communication and informatics
Public health or related research
Describe a novel source of medical encounter data for measuring provider activity.
Keyword(s): Data Collection and Surveillance, Treatment Patterns
Qualified on the content I am responsible for because: I am a statistician who researches the use of electronic health records data for flu and disease surveillance. I also extract data-driven insights from patient databases.
Any relevant financial relationships? Yes
|Name of Organization||Clinical/Research Area||Type of relationship|
|athenahealth||Electronic Health Records||Employment (includes retainer) and Stock Ownership|
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.