Centralized IIS-based Reminder/Recall to Increase Childhood Influenza Vaccination Rates in New York State
NCT ID: NCT02924467
Last Updated: 2020-04-28
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
COMPLETED
NA
100000 participants
INTERVENTIONAL
2016-11-01
2017-05-02
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Centralized IIS-based Reminder/Recall to Increase Childhood Influenza Vaccination Rates
NCT02761551
Centralized IIS-based Reminder/Recall to Increase Childhood Influenza Vaccination Rates_2nd Trial in Colorado
NCT03246100
Centralized Reminder Recall - Flu RCT2
NCT03294473
Pediatric Second Influenza Dose Portal Reminder Recall
NCT04668417
Patient Portal - Flu Reminder Recall
NCT03666026
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Since 2010, the Advisory Committee on Immunization Practices (ACIP) has recommended influenza vaccination for all children \>6 months of age. However, vaccination rates remain very low. For the 2012-2013 season, only 56% of children 2-17y were vaccinated. Modeling studies suggest that as many as 19 million cases of influenza could be prevented if child vaccination rates were raised to 70% nationally. The most effective strategy recommended by CDC and the Task Force on Community Preventive Services for improving childhood influenza vaccination rates is reminder/recall (R/R), sent by phone or mail, notifying parents of the need to vaccinate their child. The published literature suggests R/R can improve influenza vaccination rates. However, few practices use R/R; barriers are practice costs, insufficient staff time and expertise, and lack of predictability regarding receipt of vaccine supplies.
Statewide immunization information systems (IISs) now exist in all states to track vaccinations. They have not yet been used for influenza vaccine R/R because of lack of evidence for their effectiveness and a lack of a template for IIS-based reminder/recall. The investigators have united two leading immunization research groups (Denver, CO and Rochester, NY) to assess the impact of centralized IIS-based influenza vaccine reminder/recall, and to evaluate the effect of intensity of recall (1 v. 2. v. 3 reminders) over usual care. The investigators will also develop tools to aid other states in creating efficient IIS reminder/recall systems. The investigators will also develop tools to aid other states in creating efficient IIS reminder/recall systems for seasonal and possible pandemic influenza outbreaks.
The study has four aims:
Aim 1 is to develop the protocols, clinical decision support, and message content for state IISs to conduct reminder/recall for influenza vaccinations.
Aim 2 is to conduct a pragmatic trial, with randomization at the level of the patient within practices randomly selected to be proportionate to each state, to compare: 1) effectiveness and cost-effectiveness of centralized reminder/recall of different intensity (1 v.2 v. 3 messages) and usual care (0 messages) and 2) effectiveness and cost-effectiveness of reminder/recall in specified subgroups (family medicine vs. pediatric provider, rural vs urban, age of child) on receipt of influenza vaccination.
Aim 3 will measure the effect of adding mailed or text message reminder/recall for autodialer failures vs. autodialer-alone reminder/recall on influenza vaccination rates using a 2-arm randomized controlled trial.
Aim 4 (dissemination aim) will develop a toolkit for state IIS-based influenza vaccine reminder/recall for seasonal and pandemic influenza, and work with key stakeholders on a sustainability plan.
By the end of the study, the investigators will have a feasible and cost-effective model to raise child seasonal or possibly pandemic influenza vaccination rates to prevent influenza. The investigators will disseminate the IIS model to all states.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
RANDOMIZED
PARALLEL
HEALTH_SERVICES_RESEARCH
SINGLE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
No intervention: Usual Care
Patients in this group will not receive any influenza vaccine reminder notifications.
No interventions assigned to this group
1 Notice
Patients in this group will receive one influenza vaccine reminder notification via autodialer across the 2016 influenza season.
1 Notice
1 Reminder notification via autodialer
2 Notices
Patients in this group will receive up to two influenza vaccine reminder notifications via autodialer throughout the 2016 influenza season.
2 Notices
2 Reminder notifications via autodialer
3 Notices
Patients in this group will receive up to three influenza vaccine reminder notifications via autodialer throughout the 2016 influenza season.
3 Notices
3 Reminder notifications via autodialer
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
1 Notice
1 Reminder notification via autodialer
2 Notices
2 Reminder notifications via autodialer
3 Notices
3 Reminder notifications via autodialer
Other Intervention Names
Discover alternative or legacy names that may be used to describe the listed interventions across different sources.
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* In need of at least one influenza vaccination at time of study
* Affiliated with a participating practice
Exclusion Criteria
6 Months
18 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
National Institute of Allergy and Infectious Diseases (NIAID)
NIH
University of California, Los Angeles
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Peter G Szilagyi, MD MPH
Principal Investigator
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Allison Kempe, MD, MPH
Role: PRINCIPAL_INVESTIGATOR
University of Colorado, Denver
References
Explore related publications, articles, or registry entries linked to this study.
Kempe A, Saville A, Dickinson LM, Eisert S, Reynolds J, Herrero D, Beaty B, Albright K, Dibert E, Koehler V, Lockhart S, Calonge N. Population-based versus practice-based recall for childhood immunizations: a randomized controlled comparative effectiveness trial. Am J Public Health. 2013 Jun;103(6):1116-23. doi: 10.2105/AJPH.2012.301035. Epub 2012 Dec 13.
Kempe A, Saville AW, Dickinson LM, Beaty B, Eisert S, Gurfinkel D, Brewer S, Shull H, Herrero D, Herlihy R. Collaborative centralized reminder/recall notification to increase immunization rates among young children: a comparative effectiveness trial. JAMA Pediatr. 2015 Apr;169(4):365-73. doi: 10.1001/jamapediatrics.2014.3670.
Kempe A, Saville AW, Albertin C, Helmkamp L, Zhou X, Vangela S, Dickinson LM, Tseng CH, Campbell JD, Whittington M, Gurfinkel D, Roth H, Hoefer D, Szilagyi P. Centralized Reminder/Recall to Increase Influenza Vaccination Rates: A Two-State Pragmatic Randomized Trial. Acad Pediatr. 2020 Apr;20(3):374-383. doi: 10.1016/j.acap.2019.10.015. Epub 2019 Nov 5.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
15-001552
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.