Evidence map›Paper›PMID 36206046›Full record

Trial reportJournal of medical Internet research2022

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

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 and 4 more

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04584645 (Increasing Influenza Vaccination in Individuals With Cardiovascular Conditions), which is not on this map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04584645 nacompletednot on this map

Increasing Influenza Vaccination in Individuals With Cardiovascular Conditions: Assessing the Effectiveness of a Digital Intervention in a Decentralized Randomized Controlled Trial

TypeinterventionalSponsorEvidation HealthRan2020 to 2021Enrolled49,138ConditionsCardiovascular Diseases, Atrial Fibrillation, Abnormal Heart Rhythms, Cardiac ArrestArmsTargeted digital intervention
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 7 institutions in 2 countries.

Nell J Marshall *Evidation Health, Inc, San Mateo, CA, United States.ORCID 0000-0002-2145-0014
Jennifer L Lee *Evidation Health, Inc, San Mateo, CA, United States.ORCID 0000-0003-1334-7671
Jessica SchroederEvidation Health, Inc, San Mateo, CA, United States.ORCID 0000-0001-5079-6746
Wei-Nchih LeeEvidation Health, Inc, San Mateo, CA, United States.ORCID 0000-0002-0252-628X
Jermyn SeeEvidation Health, Inc, San Mateo, CA, United States.ORCID 0000-0002-8372-0753
Mohammad MadjidDavid Geffen School of Medicine, University of California, Los Angeles, CA, United States.ORCID 0000-0002-5658-9518
Mrudula R MunagalaDepartment of Cardiology, University of Miami, Miami, FL, United States.ORCID 0000-0003-1937-7468
John D PietteDepartment of Health Behavior and Health Education, School of Public Health, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0002-7241-2798
Litjen TanImmunize.org, St. Paul, MN, United States.ORCID 0000-0001-9054-6696
Orly VardenyCenter for Care Delivery and Outcomes Research, Veterans Health Administration, Minneapolis, MN, United States.ORCID 0000-0002-6387-1351
Michael GreenbergSanofi, Swiftwater, PA, United States.ORCID 0000-0002-4085-4348
Jan LiskaSanofi, Gentilly, France.ORCID 0000-0002-8977-332X
Monica MercerSanofi, Swiftwater, PA, United States.ORCID 0000-0002-4672-2485
Sandrine SamsonSanofi, Lyon, France.ORCID 0000-0001-8365-5093
Evidation Health (United States) · USSanofi (France) · FRSanofi (United States) · USUniversity of California, Los Angeles · USUniversity of Miami · USUniversity of Michigan · USVeterans Health Administration · US

Funding

Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
NIDDK NIH HHS P30 DK092926
6 · The paper itself

Abstract

backgroundSeasonal 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.

objectiveWe aimed to assess the effects of digital intervention messaging on self-reported rates of seasonal influenza vaccination.

methodsThis 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.

resultsOf 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.

conclusionsThis personalized, evidence-based digital intervention was effective in increasing vaccination rates in this population of high-risk people with cardiovascular disease.

trial registrationClinicalTrials.gov NCT04584645; https://clinicaltrials.gov/ct2/show/NCT04584645.

Indexed as

Cardiovascular DiseasesCOVID-19Influenza, HumanInfluenza VaccinesText MessagingAdultHumansSingle-Blind MethodUnited StatesVaccinationInfluenza Vaccinescardiovascular diseasedigital interventiondigital messagingimmunizationinfluenzamHealthmobile healthpublic healthrandomized trialvaccination

Identifiers

PMID36206046
PMCPMC9587491
OpenAlexW4289015069

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.