Using Active Choice Within the Electronic Health Record to Increase Influenza Vaccination Rates
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Despite the benefits of influenza vaccination, each year more than half of adults in the United States do not receive it.
To evaluate the association between an active choice intervention in the electronic health record (EHR) and changes in influenza vaccination rates.
Adults eligible for influenza vaccination with a clinic visit at one of three internal medicine practices at the University of Pennsylvania Health System between September 2010 and March 2013.
The EHR confirmed patient eligibility during the clinic visit and, upon accessing the patient chart, prompted the physician and their medical assistant to actively choose to “accept” or “cancel” an order for the influenza vaccine.
Change in influenza vaccination order rates at the intervention practice compared to two control practices for the 2012–2013 flu season, comparing trends during the prior two flu seasons adjusting for time trends and patient and clinic visit characteristics.
The sample (n = 45,926 patients) was 62.9% female, 35.9% white, and 54.4% black, with a mean age of 50.2 years. Trends were similar between practices during the 2 years in the pre-intervention period. Vaccination rates increased in both groups in the post-intervention year, but the intervention practice using active choice had a significantly greater increase than the control (adjusted difference-in-difference: 6.6 percentage points; 95% CI, 5.1–8.1; P < 0.001), representing a 37.3% relative increase compared to the pre-intervention period. More than 99.9% (9938/9941) of orders placed during the study period resulted in vaccination.
Active choice through the EHR was associated with a significant increase in influenza vaccination rates.
KEY WORDSactive choice choice architecture nudge physician behavior behavioral economics electronic health record influenza vaccination
This study was funded by a grant from the Leonard Davis Institute of Health Economics at the University of Pennsylvania to Dr. Patel and a grant from the National Institute on Aging (P30AG034546) through the LDI Center for Health Incentives and Behavioral Economics to Dr. Volpp. Dr. Patel had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
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Conflict of Interest
Dr. Patel is a principal at Catalyst Health, a behavior change and technology consulting firm. Dr. Volpp is a principal at VAL Health, a behavioral economics consulting firm. Dr. Volpp has also received consulting income from CVS Caremark and research funding from Humana, CVS Caremark, Discovery (South Africa), Hawaii Medical Services Association, and Merck, none of which is related to the work described in this manuscript. All other authors declare no conflict of interest.
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