Real-time Influenza Vaccine Surveillance

The proposal will be conducted at six clinical sites of Columbia University Medical Center
(CUMC), using a customized version of our already operational technology platform. Our
proposed 12 month project will entail three phases: (a) 3 months of preparatory work, (b) 6
months of intervention rollout and (c) 3 months of data analysis and dissemination.

Preparatory work will include 3 areas:

Indepth interviews: We will conduct a series of interviews with patients and parents to
understand their perspective on vaccine safety and Flunet. We will also interview a sample
of providers to understand the most effective way for service promotion among providers.
Design of registration process and messages: We will use patient/parental feedback to refine
critical parts of the implementation, such as the registration process and the messages
(content, frequency, format) to maximize response rates and the quality of information
collected, which will be piloted in the next phase.

Technology set up and testing will occur prior to roll out in a HIPAA compliant data center.
The intervention rollout will begin with a 6week refinement period. The primary goals of the
refinement period are to: (1) validate/improve the methodology (e.g. registration, logic and
content of the interactive menus, data collection process (2) test the application and
infrastructure required for the full roll out (3) refine logistic details, such as printed
materials for patients and providers. We will interview 25 patients to learn about their
experience using Flunet. We will also evaluate the operations, technology and clinical
findings from the intervention and incorporate any adjustments needed. After the refinement
period, we will continue to monitor the systems and operations on an ongoing basis. All
patients receiving a vaccine(vaccinees) will be offered the service. For children <18 years
of age, a parent or guardian (parent) will be offered the service. By calling a registration
number vaccinees/parents will agree to receive a series of text messages following up on the
vaccinee's health.

Participating locations will include five community health centers and one hospital-based
clinic, affiliated with New York Presbyterian Hospital Ambulatory Care Network (ACN) and
Columbia University. These clinics include general pediatric, general medicine, Obstetric
Gynecology(OBGYN)and family medicine patients. These sites are all in Health Professional
Shortage Areas (HPSA).

Design and preparatory phase (months 13):

Preparatory work for implementing Flunet entails the 3 main activities: (a) Patient and
provider interviews (b)Technology setup and (c) Logistic tasks.

Rollout Phase (months 39):

The roll out will entail the 3 key activities: (a) Vaccinee enrollment/registration; (b)
Service delivery; (c) Refinement period and final evaluations (at 6 weeks and at the
intervention end). At the beginning, we will conduct a 6 week refinement phase to validate
and improve the initial design(e.g. registration methodology, best sequence and content of
the interactive messages, data collection process).

The key component of the intervention is the text messaging exchange of information between
our system and vaccinees. Information will comprise the following topics: (a) adverse events
and (b) additional messages(primarily health tips for the influenza season). We will send a
registration message and weekly messages through 6 weeks post-immunization. The first
message will be sent at enrollment. Messages monitoring AEs will be sent at week 1, 2, 4,
and 6, and messages containing tips and education at weeks 3 and 5. All messages detailed
below are preliminary and will be modified based on feedback from vaccinees/parents obtained
from the patient interviews. Messages are sent in the language selected during the telephone
sign up. Additional questions will be asked only to patients reporting AEs. Messages that
may trigger a reply will be designed so that vaccinees'/parents' responses are automatically
parsed and replied to using a rules-based algorithm. Final messages will be based on focus
group and interviews.