Adverse Events Following Influenza Immunization Reported by Healthcare Personnel Using Active Surveillance Based on Text Messages

Tracey, Lauren; Regan, Annette K.; Mak, Donna B; Effler, Paul V.

doi:10.1017/ice.2015.16

Cited by 5 publications

(2 citation statements)

References 6 publications

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“…Active, prospective vaccine safety surveillance is superior to traditional post-marketing vaccine safety surveillance which typically relies on passive reporting. In Australia, SMS technology has also been used to study vaccine reactions among healthcare workers and pregnant women [13,14]. One study in the United States also used SMS follow-up of parents, detecting increased fever rates in children who had concomitantly received trivalent influenza vaccine and 13-valent pneumococcal vaccine compared with those who received each vaccine alone [15].…”

Section: Discussionmentioning

confidence: 99%

Real-time safety surveillance of seasonal influenza vaccines in children, Australia, 2015

et al. 2015

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Section: Discussionmentioning

confidence: 99%

Real-time safety surveillance of seasonal influenza vaccines in children, Australia, 2015

et al. 2015

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“…Common participant-centered active surveillance methods are conducted using health diary reporting cards [ 11 ], SMS text messages (eg, SmartVax [ 16 ], VaxTracker [ 17 ], stimulated telephone-assisted rapid safety surveillance [STARSS] [ 18 ], FASTMum [ 19 ], FAST-Health [ 20 ]), and email (eg, VaxTracker [ 17 ], Lareb Intensive Monitoring [ 21 ], and integrated vaccine surveillance system [IVSS] [ 22 ]) to interact with individuals and prompt them to report their ADRs by sending a web link to complete an online questionnaire, interviews collected over the phone (eg, FASTMum [ 19 ], IVSS [ 22 ], and a project developed in Brazil [ 13 , 23 , 24 ]), during medical visits [ 25 ], or mailing questionnaires [ 26 - 29 ].…”

Section: Introductionmentioning

confidence: 99%

A Mobile App Leveraging Citizenship Engagement to Perform Anonymized Longitudinal Studies in the Context of COVID-19 Adverse Drug Reaction Monitoring: Development and Usability Study

Filippo¹,

Avellone²,

Belingheri³

et al. 2022

JMIR Hum Factors

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Background Over the past few years, studies have increasingly focused on the development of mobile apps as complementary tools to existing traditional pharmacovigilance surveillance systems for improving and facilitating adverse drug reaction (ADR) reporting. Objective In this research, we evaluated the potentiality of a new mobile app (vaxEffect@UniMiB) to perform longitudinal studies, while preserving the anonymity of the respondents. We applied the app to monitor the ADRs during the COVID-19 vaccination campaign in a sample of the Italian population. Methods We administered vaxEffect@UniMiB to a convenience sample of academic subjects vaccinated at the Milano-Bicocca University hub for COVID-19 during the Italian national vaccination campaign. vaxEffect@UniMiB was developed for both Android and iOS devices. The mobile app asks users to send their medical history and, upon every vaccine administration, their vaccination data and the ADRs that occurred within 7 days postvaccination, making it possible to follow the ADR dynamics for each respondent. The app sends data over the web to an application server. The server, along with receiving all user data, saves the data in a SQL database server and reminds patients to submit vaccine and ADR data by push notifications sent to the mobile app through Firebase Cloud Messaging (FCM). On initial startup of the app, a unique user identifier (UUID) was generated for each respondent, so its anonymity was completely ensured, while enabling longitudinal studies. Results A total of 3712 people were vaccinated during the first vaccination wave. A total of 2733 (73.6%) respondents between the ages of 19 and 80 years, coming from the University of Milano-Bicocca (UniMiB) and the Politecnico of Milan (PoliMi), participated in the survey. Overall, we collected information about vaccination and ADRs to the first vaccine dose for 2226 subjects (60.0% of the first dose vaccinated), to the second dose for 1610 subjects (43.4% of the second dose vaccinated), and, in a nonsponsored fashion, to the third dose for 169 individuals (4.6%). Conclusions vaxEffect@UniMiB was revealed to be the first attempt in performing longitudinal studies to monitor the same subject over time in terms of the reported ADRs after each vaccine administration, while guaranteeing complete anonymity of the subject. A series of aspects contributed to the positive involvement from people in using this app to report their ADRs to vaccination: ease of use, availability from multiple platforms, anonymity of all survey participants and protection of the submitted data, and the health care workers’ support.

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Post-marketing surveillance of adverse events following immunization with inactivated quadrivalent and trivalent influenza vaccine in health care providers in Western Australia

Regan¹,

Tracey

Gibbs

2015

Vaccine

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Adverse Events Following Influenza Immunization Reported by Healthcare Personnel Using Active Surveillance Based on Text Messages

Cited by 5 publications

References 6 publications

Real-time safety surveillance of seasonal influenza vaccines in children, Australia, 2015

Real-time safety surveillance of seasonal influenza vaccines in children, Australia, 2015

A Mobile App Leveraging Citizenship Engagement to Perform Anonymized Longitudinal Studies in the Context of COVID-19 Adverse Drug Reaction Monitoring: Development and Usability Study

Post-marketing surveillance of adverse events following immunization with inactivated quadrivalent and trivalent influenza vaccine in health care providers in Western Australia

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