Advanced Clinical Decision Support for Vaccine Adverse Event Detection and Reporting.

BACKGROUND: Reporting of adverse events (AEs) following vaccination can help identify rare or unexpected complications of immunizations and aid in characterizing potential vaccine safety signals. We developed an open-source, generalizable clinical decision support system called Electronic Support for Public Health-Vaccine Adverse Event Reporting System (ESP-VAERS) to assist clinicians with AE detection and reporting. METHODS: ESP-VAERS monitors patients' electronic health records for new diagnoses, changes in laboratory values, and new allergies following vaccinations. When suggestive events are found, ESP-VAERS sends the patient's clinician a secure electronic message with an invitation to affirm or refute the message, add comments, and submit an automated, prepopulated electronic report to VAERS. High-probability AEs are reported automatically if the clinician does not respond. We implemented ESP-VAERS in December 2012 throughout the MetroHealth System, an integrated healthcare system in Ohio. We queried the VAERS database to determine MetroHealth's baseline reporting rates from January 2009 to March 2012 and then assessed changes in reporting rates with ESP-VAERS. RESULTS: In the 8 months following implementation, 91 622 vaccinations were given. ESP-VAERS sent 1385 messages to responsible clinicians describing potential AEs. Clinicians opened 1304 (94.2%) messages, responded to 209 (15.1%), and confirmed 16 for transmission to VAERS. An additional 16 high-probability AEs were sent automatically. Reported events included seizure, pleural effusion, and lymphocytopenia. The odds of a VAERS report submission during the implementation period were 30.2 (95% confidence interval, 9.52-95.5) times greater than the odds during the comparable preimplementation period. CONCLUSIONS: An open-source, electronic health record-based clinical decision support system can increase AE detection and reporting rates in VAERS.

Direct messaging to parents/guardians to improve adolescent immunizations.

PURPOSE: To study the impact on adolescent immunization rates of direct messages to parents/guardians. METHODS: Electronic health record rules identified adolescents needing an immunization. Parents/guardians of adolescents were messaged via a single vendor using automated text, prerecorded voice, and/or postcard. RESULTS: Parents/guardians of 3,393 patients, ages 11-18 years, with one or more primary care visits in the prior 2 years, identified as needing (average of 2.04 years) a vaccination (meningococcal conjugate, human papillomavirus, or tetanus, diphtheria, and pertussis vaccines) were messaged (mean age, 14 years; 50% male; 38% African-American; 23% white; 19% Hispanic; and 79% public health insurance). A total of 7,094 messages were sent: 3,334 automated voice (47%), 2,631 texts (37%), and 1,129 postcards (16%). After the first message, 865 adolescents (25.5%) received at least one vaccine. Within 24 weeks of messaging 1,324 vaccines (745 human papillomavirus; 403 meningococcal conjugate; and 176 tetanus, diphtheria, and pertussis vaccines) occurred in 959 visits (83.8% physician visits and 16.2% nurse visits). Average visits generated $204 gross reimbursement for $1.77 in messaging expenses per vaccine given. No differences in immunization completion rates occurred by age, gender, race/ethnicity, or insurance type. At 24 weeks, one message was more effective than two or three messages (35.6%, 19.4%, and 24.1% effectiveness, respectively; p < .0001). Texts and postcards correlated with more vaccination visits (38.8% and 40.1%, respectively) than phone calls (31.5%; p = .04). More vaccines due led to increasing message effectiveness. CONCLUSIONS: Automated texts, voice messages, and postcards had a significant positive effect on vaccination rates in adolescents needing vaccination and required minimal financial expenditure.