Influence of Digital Intervention Messaging on Influenza Vaccination Rates Among Adults With Cardiovascular Disease in the United States: Decentralized Randomized Controlled Trial.

Autor: Marshall NJ; Evidation Health, Inc, San Mateo, CA, United States., Lee JL; Evidation Health, Inc, San Mateo, CA, United States., Schroeder J; Evidation Health, Inc, San Mateo, CA, United States., Lee WN; Evidation Health, Inc, San Mateo, CA, United States., See J; Evidation Health, Inc, San Mateo, CA, United States., Madjid M; David Geffen School of Medicine, University of California, Los Angeles, CA, United States., Munagala MR; Department of Cardiology, University of Miami, Miami, FL, United States., Piette JD; Department of Health Behavior and Health Education, School of Public Health, University of Michigan, Ann Arbor, MI, United States., Tan L; Immunize.org, St. Paul, MN, United States., Vardeny O; Center for Care Delivery and Outcomes Research, Veterans Health Administration, Minneapolis, MN, United States., Greenberg M; Sanofi, Swiftwater, PA, United States., Liska J; Sanofi, Gentilly, France., Mercer M; Sanofi, Swiftwater, PA, United States., Samson S; Sanofi, Lyon, France.
Jazyk: angličtina
Zdroj: Journal of medical Internet research [J Med Internet Res] 2022 Oct 07; Vol. 24 (10), pp. e38710. Date of Electronic Publication: 2022 Oct 07.
DOI: 10.2196/38710
Abstrakt: Background: Seasonal influenza affects 5% to 15% of Americans annually, resulting in preventable deaths and substantial economic impact. Influenza infection is particularly dangerous for people with cardiovascular disease, who therefore represent a priority group for vaccination campaigns.
Objective: We aimed to assess the effects of digital intervention messaging on self-reported rates of seasonal influenza vaccination.
Methods: This was a randomized, controlled, single-blind, and decentralized trial conducted at individual locations throughout the United States over the 2020-2021 influenza season. Adults with self-reported cardiovascular disease who were members of the Achievement mobile platform were randomized to receive or not receive a series of 6 patient-centered digital intervention messages promoting influenza vaccination. The primary end point was the between-group difference in self-reported vaccination rates at 6 months after randomization. Secondary outcomes included the levels of engagement with the messages and the relationship between vaccination rates and engagement with the messages. Subgroup analyses examined variation in intervention effects by race. Controlling for randomization group, we examined the impact of other predictors of vaccination status, including cardiovascular condition type, vaccine drivers or barriers, and vaccine knowledge.
Results: Of the 49,138 randomized participants, responses on the primary end point were available for 11,237 (22.87%; 5575 in the intervention group and 5662 in the control group) participants. The vaccination rate was significantly higher in the intervention group (3418/5575, 61.31%) than the control group (3355/5662, 59.25%; relative risk 1.03, 95% CI 1.004-1.066; P=.03). Participants who were older, more educated, and White or Asian were more likely to report being vaccinated. The intervention was effective among White participants (P=.004) but not among people of color (P=.42). The vaccination rate was 13 percentage points higher among participants who completed all 6 intervention messages versus none, and at least 2 completed messages appeared to be needed for effectiveness. Participants who reported a diagnosis of COVID-19 were more likely to be vaccinated for influenza regardless of treatment assignment.
Conclusions: This personalized, evidence-based digital intervention was effective in increasing vaccination rates in this population of high-risk people with cardiovascular disease.
Trial Registration: ClinicalTrials.gov NCT04584645; https://clinicaltrials.gov/ct2/show/NCT04584645.
(©Nell J Marshall, Jennifer L Lee, Jessica Schroeder, Wei-Nchih Lee, Jermyn See, Mohammad Madjid, Mrudula R Munagala, John D Piette, Litjen Tan, Orly Vardeny, Michael Greenberg, Jan Liska, Monica Mercer, Sandrine Samson. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 07.10.2022.)
Databáze: MEDLINE
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