Evidence map›Paper›PMID 39393058›Full record

ArticleJMIR mHealth and uHealth2024

A Texting- and Internet-Based Self-Reporting System for Enhanced Vaccine Safety Surveillance With Insights From a Large Integrated Health Care System in the United States: Prospective Cohort Study.

Debbie E Malden, Julianne Gee, Sungching Glenn, Zhuoxin Li, Denison S Ryan, Zheng Gu, Cassandra Bezi, Sunhea Kim, Amelia Jazwa, Michael M McNeil and 2 more

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Trial
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

12 authors.

Debbie E MaldenDepartment of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States.ORCID 0000-0003-0567-8294
Julianne GeeImmunization Safety Office, Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0003-4244-8068
Sungching GlennDepartment of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States.ORCID 0000-0002-0041-0996
Zhuoxin LiDepartment of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States.ORCID 0000-0002-7593-4073
Denison S RyanDepartment of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States.ORCID 0000-0001-8440-3859
Zheng GuDepartment of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States.ORCID 0000-0001-5874-190X
Cassandra BeziDepartment of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States.ORCID 0009-0000-1926-2201
Sunhea KimDepartment of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States.ORCID 0000-0002-0228-9341
Amelia JazwaImmunization Safety Office, Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0003-0097-2670
Michael M McNeilImmunization Safety Office, Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0003-0713-8312
Eric S WeintraubImmunization Safety Office, Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0003-0375-0504
Sara Y TartofDepartment of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States.ORCID 0000-0003-2336-8476

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSMS text messaging- and internet-based self-reporting systems can supplement existing vaccine safety surveillance systems, but real-world participation patterns have not been assessed at scale.

objectiveThis study aimed to describe the participation rates of a new SMS text messaging- and internet-based self-reporting system called the Kaiser Permanente Side Effect Monitor (KPSEM) within a large integrated health care system.

methodsWe conducted a prospective cohort study of Kaiser Permanente Southern California (KPSC) patients receiving a COVID-19 vaccination from April 23, 2021, to July 31, 2023. Patients received invitations through flyers, SMS text messages, emails, or patient health care portals. After consenting, patients received regular surveys to assess adverse events up to 5 weeks after each dose. Linkage with medical records provided demographic and clinical data. In this study, we describe KPSEM participation rates, defined as providing consent and completing at least 1 survey within 35 days of COVID-19 vaccination.

resultsApproximately, 8% (164,636/2,091,975) of all vaccinated patients provided consent and completed at least 1 survey within 35 days. The lowest participation rates were observed for parents of children aged 12-17 years (1349/152,928, 0.9% participation rate), and the highest participation was observed among older adults aged 61-70 years (39,844/329,487, 12.1%). Persons of non-Hispanic White race were more likely to participate compared with other races and ethnicities (13.1% vs 3.9%-7.5%, respectively; P<.001). In addition, patients residing in areas with a higher neighborhood deprivation index were less likely to participate (5.1%, 16,503/323,122 vs 10.8%, 38,084/352,939 in the highest vs lowest deprivation quintiles, respectively; P<.001). Invitations through the individual's Kaiser Permanente health care portal account and by SMS text message were associated with the highest participation rate (19.2%, 70,248/366,377 and 10.5%, 96,169/914,793, respectively), followed by email (19,464/396,912, 4.9%) and then QR codes on flyers (25,882/2,091,975, 1.2%). SMS text messaging-based surveys demonstrated the highest sustained daily response rates compared with internet-based surveys.

conclusionsThis real-world prospective study demonstrated that a novel digital vaccine safety self-reporting system implemented through an integrated health care system can achieve high participation rates. Linkage with participants' electronic health records is another unique benefit of this surveillance system. We also identified lower participation among selected vulnerable populations, which may have implications when interpreting data collected from similar digital systems.

Indexed as

InternetSelf ReportText MessagingAdolescentAdultAdverse Drug Reaction Reporting SystemsAgedCaliforniaCohort StudiesCOVID-19COVID-19 VaccinesDelivery of Health Care, IntegratedFemaleHumansMaleMiddle AgedCOVID-19 Vaccinescohort studyCOVID-19 vaccinationCOVID-19 vaccinesdata collectiondigital healthdisparityEHRelectronic health recordsinternet basedmedical recordsmobile phonemonitoringself-reportingsurveillancesurveillance systemsurveysurvey participationsurveystexttext-based surveystext messageUSUSAvaccinationvaccinevaccine monitoringvaccine safetyvaccine safety monitoringvulnerable

Identifiers

PMID39393058
PMCPMC11512128

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.