Literature DB >> 26905396

An evaluation of the feasibility and usability of a proof of concept mobile app for adverse event reporting post influenza vaccination.

Kumanan Wilson1,2,3, Katherine M Atkinson1,4, Jacqueline Westeinde1, Cameron Bell1, Kim Marty5,6, Dean Fergusson1, Shelley L Deeks7,8, Natasha Crowcroft7,8,9, Julie A Bettinger4.   

Abstract

The Canadian National Vaccine Safety network (CANVAS) gathers and analyzes safety data on individuals receiving the influenza vaccine during the early stages of annual influenza vaccination campaigns with data collected via participant surveys through the Internet. We sought to examine whether it was feasible to use a mobile application (app) to facilitate AEFI reporting for the CANVAS network. To explore this, we developed a novel smartphone app, recruited participants from a hospital influenza immunization clinic and by word of mouth and instructed them to download and utilize the app. The app reminded participants to complete the CANVAS AEFI surveillance surveys ("AEFI surveys") on day 8 and 30, a survey capturing app usability metrics at day 30 ("usability survey") and provided a mechanism to report AEFI events spontaneously throughout the whole study period. All survey results and spontaneous reports were recorded on a privacy compliant, cloud server. A software plug-in, Lookback, was used to record the on-screen experience of the app sessions. Of the 76 participants who consented to participate, 48(63%) successfully downloaded the app and created a profile. In total, 38 unique participants completed all of the required surveillance surveys; transmitting 1104 data points (survey question responses and spontaneous reports) from 83 completed surveys, including 21 usability surveys and one spontaneous report. In total, we received information on new or worsening health conditions after receiving the influenza vaccine from 11(28%) participants. Of the usability survey responses, 86% agreed or strongly agreed that they would prefer to use a mobile app based reporting system instead of a web-based system. The single spontaneous report received was from a participant who had also reported using the Day 8 survey. Of Lookback observable sessions, an accurate transmission proportion of 100% (n=290) was reported for data points. We demonstrated that a mobile app can be used for AEFI reporting, although download and survey completion proportions suggest potential barriers to adoption. Future studies should examine implementation of mobile reporting in a broader audience and impact on the quality of reporting of adverse events following immunization.

Entities:  

Keywords:  adverse event; drug reaction reporting systems; health technology; immunization; mobile apps

Mesh:

Substances:

Year:  2016        PMID: 26905396      PMCID: PMC4964836          DOI: 10.1080/21645515.2016.1152434

Source DB:  PubMed          Journal:  Hum Vaccin Immunother        ISSN: 2164-5515            Impact factor:   3.452


  20 in total

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Authors:  David W Scheifele; Scott A Halperin
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Review 2.  Understanding vaccine safety information from the Vaccine Adverse Event Reporting System.

Authors:  Frederick Varricchio; John Iskander; Frank Destefano; Robert Ball; Robert Pless; M Miles Braun; Robert T Chen
Journal:  Pediatr Infect Dis J       Date:  2004-04       Impact factor: 2.129

3.  Exploring the feasibility of integrating barcode scanning technology into vaccine inventory recording in seasonal influenza vaccination clinics.

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Journal:  Vaccine       Date:  2011-11-23       Impact factor: 3.641

4.  IMPACT after 17 years: Lessons learned about successful networking.

Authors: 
Journal:  Paediatr Child Health       Date:  2009-01       Impact factor: 2.253

5.  Using SMS technology to verify the safety of seasonal trivalent influenza vaccine for pregnant women in real time.

Authors:  Annette K Regan; Christopher C Blyth; Paul V Effler
Journal:  Med J Aust       Date:  2013-12-16       Impact factor: 7.738

6.  The integration of barcode scanning technology into Canadian public health immunization settings.

Authors:  Jennifer A Pereira; Susan Quach; Jemila S Hamid; Sherman D Quan; Amanda Jane Diniz; Robert Van Exan; Jeffrey Malawski; Michael Finkelstein; Salim Samanani; Jeffrey C Kwong
Journal:  Vaccine       Date:  2013-11-17       Impact factor: 3.641

7.  Consumer reporting of adverse events following immunization (AEFI): identifying predictors of reporting an AEFI.

Authors:  Adriana Parrella; Michael Gold; Annette Braunack-Mayer; Peter Baghurst; Helen Marshall
Journal:  Hum Vaccin Immunother       Date:  2014-01-09       Impact factor: 3.452

8.  Using automated text messages to monitor adverse events following immunisation in general practice.

Authors:  Alan Leeb; Annette K Regan; Ian J Peters; Candice Leeb; Gregory Leeb; Paul V Effler
Journal:  Med J Aust       Date:  2014-04-21       Impact factor: 7.738

9.  Short and long-term safety of the 2009 AS03-adjuvanted pandemic vaccine.

Authors:  Gaston De Serres; Marie-Claude Gariépy; Brenda Coleman; Isabelle Rouleau; Shelly McNeil; Mélanie Benoît; Allison McGeer; Ardith Ambrose; Judy Needham; Chantal Bergeron; Cynthia Grenier; Kenna Sleigh; Arlene Kallos; Manale Ouakki; Najwa Ouhoummane; Grant Stiver; Louis Valiquette; Anne McCarthy; Julie Bettinger
Journal:  PLoS One       Date:  2012-07-03       Impact factor: 3.240

10.  Use of a text message-based pharmacovigilance tool in Cambodia: pilot study.

Authors:  Sophie Baron; Flavie Goutard; Kunthy Nguon; Arnaud Tarantola
Journal:  J Med Internet Res       Date:  2013-04-16       Impact factor: 5.428

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Authors:  Oscar O Agoro; Sarah W Kibira; Jenny V Freeman; Hamish S F Fraser
Journal:  J Am Med Inform Assoc       Date:  2018-06-01       Impact factor: 4.497

Review 2.  Participant-centred active surveillance of adverse events following immunisation: a narrative review.

Authors:  Patrick Cashman; Kristine Macartney; Gulam Khandaker; Catherine King; Michael Gold; David N Durrheim
Journal:  Int Health       Date:  2017-05-01       Impact factor: 2.473

3.  Examining Socioeconomic and Computational Aspects of Vaccine Pharmacovigilance.

Authors:  Vasiliki Soldatou; Anastasios Soldatos; Theodoros Soldatos
Journal:  Biomed Res Int       Date:  2019-02-19       Impact factor: 3.411

Review 4.  Influenza and other respiratory viruses: standardizing disease severity in surveillance and clinical trials.

Authors:  Barbara Rath; Tim Conrad; Puja Myles; Maren Alchikh; Xiaolin Ma; Christian Hoppe; Franziska Tief; Xi Chen; Patrick Obermeier; Bron Kisler; Brunhilde Schweiger
Journal:  Expert Rev Anti Infect Ther       Date:  2017-05-12       Impact factor: 5.091

Review 5.  Challenges in implementing yearly enhanced safety surveillance of influenza vaccination in Europe: lessons learned and future perspectives.

Authors:  Gaël Dos Santos
Journal:  Hum Vaccin Immunother       Date:  2019-05-22       Impact factor: 3.452

6.  Active surveillance of 2017 seasonal influenza vaccine safety: an observational cohort study of individuals aged 6 months and older in Australia.

Authors:  Alexis J Pillsbury; Catherine Glover; Peter Jacoby; Helen E Quinn; Parveen Fathima; Patrick Cashman; Alan Leeb; Christopher C Blyth; Michael S Gold; Thomas Snelling; Kristine K Macartney
Journal:  BMJ Open       Date:  2018-10-18       Impact factor: 2.692

7.  Characteristics, Quality and Contribution to Signal Detection of Spontaneous Reports of Adverse Drug Reactions Via the WEB-RADR Mobile Application: A Descriptive Cross-Sectional Study.

Authors:  Ingrid Oosterhuis; Henric Taavola; Philip M Tregunno; Petar Mas; Sara Gama; Victoria Newbould; Ola Caster; Linda Härmark
Journal:  Drug Saf       Date:  2018-10       Impact factor: 5.606

8.  The Canadian National Vaccine Safety Network: surveillance of adverse events following immunisation among individuals immunised with the COVID-19 vaccine, a cohort study in Canada.

Authors:  Julie A Bettinger; Manish Sadarangani; Gaston De Serres; Louis Valiquette; Otto G Vanderkooi; James D Kellner; Matthew P Muller; Karina A Top; Jennifer E Isenor; Allison McGeer; Kimberly Marty
Journal:  BMJ Open       Date:  2022-01-20       Impact factor: 2.692

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