206 Improving the Influenza Vaccination Rate in Patients visiting Pediatric Rheumatology clinics Using Automatic best practice alert in Electronic Patient Records

Saturday, April 2, 2011
Trinity Ballroom (Hilton Anatole)
Anjali Patwardhan, MRCPCH.MRCPI.MD , Nationwide Childrens Hospital, Columbus, OH
Kelly Kelleher , Nationwide Childrens Hospital, Columbus, OH
Dennis Cunningham , Nationwide Childrens Hospital, Columbus, OH
James Menke , Nationwide Childrens Hospital, Columbus, OH
Charles Spencer , Nationwide Childrens Hospital, Columbus, OH
<>Background: Children with rheumatic disease who are infected with influenza have increased rates of complications. Influenza-related morbidity and mortality can be reduced by improving the flu vaccination rate.

Objective: To increase the influenza vaccination rate in a high risk population of patients with rheumatic diseases.

 

Methods: We examined three yearly cohorts (2007, 2008, and 2009) of rheumatology clinic patients from a large pediatric hospital for evidence of influenza vaccination in the electronic health record. We introduced an electronic health record (EHR) intervention automatic best practice alert reminder in our patients’ records from September 2009 until the end of the influenza season. We compared claims-based records of receipt over 3 years and conducted a Delphi survey of stakeholders after the flu season. In 2009, an EHR automatic best practice alert reminder to vaccinate patients was introduced. Using Clarity Report Write for EPIC, each chart was examined for evidence of influenza vaccination in order to test for vaccination rate difference amongst the cohorts. We employed logistic regression equations to control for possible confounders (age, sex, ethnicity, insurance status, distance from clinic and attending physician) using SAS 9.1.3. We conducted qualitative interviews with participating clinicians to assess their perspectives on the addition of the reminder.

Results: There was a significant difference in the probability of being vaccinated before and after intervention (p value <0.0001).With the rate increased from 5.9 % in 2007 and 7.8% in 2008 to 25.5 % in 2009.  All three years, individual attending’s contribution and ethnicity of patients had significant effects on vaccination rate. Confounders such as age, sex, insurance status and distance from clinic had no effect on the vaccination rate.

Conclusions: EHR-embedded information in past studies has been only modestly effective in improving care for many chronic conditions. Our automatic best practice alert reminder for flu-vaccine appears to be effective for changing behaviors and improving the vaccination rate in rheumatology clinics.