Literature DB >> 34103321

Active vaccine safety surveillance of seasonal influenza vaccination via a scalable, integrated system in Western Australian pharmacies: a prospective cohort study.

Sandra Salter1, Gurkamal Singh2, Lisa Nissen3, Kevin Trentino4, Kevin Murray4, Kenneth Lee2, Benjamin Kop2, Ian Peters5, Alan Leeb5.   

Abstract

OBJECTIVES: We integrated an established participant-centred active vaccine safety surveillance system with a cloud-based pharmacy immunisation-recording program in order to measure adverse events following immunisation (AEFI) reported via the new surveillance system in pharmacies, compared with AEFI reported via an existing surveillance system in non-pharmacy sites (general practice and other clinics).
DESIGN: A prospective cohort study. PARTICIPANTS AND
SETTING: Individuals >10 years receiving influenza immunisations from 22 pharmacies and 90 non-pharmacy (general practice and other clinic) sites between March and October 2020 in Western Australia. Active vaccine safety surveillance was conducted using short message service and smartphone technology, via an opt-out system. OUTCOME MEASURES: Multivariable logistic regression was used to assess the primary outcome: differences in proportions of AEFI between participants immunised in pharmacies compared with non-pharmacy sites, adjusting for confounders of age, sex and influenza vaccine brand. A subgroup analysis of participants over 65 years was also performed.
RESULTS: Of 101 440 participants (6992 from pharmacies; 94 448 from non-pharmacy sites), 77 498 (76.4%) responded; 96.1% (n=74 448) within 24 hours. Overall, 4.8% (n=247) pharmacy participants reported any AEFI, compared with 6% (n=4356) non-pharmacy participants (adjusted OR: 0.87; 95% CI: 0.76 to 0.99; p=0.039). Similar proportions of AEFIs were reported in pharmacy (5.8%; n=31) and non-pharmacy participants (6; n=1617) aged over 65 years (adjusted OR: 0.94; 95% CI: 0.65 to 1.35; p=0.725). The most common AEFIs in pharmacy were: pain (2%; n=104), tiredness (1.9%; n=95) and headache (1.7%; n=88); and in non-pharmacy sites: pain (2.3%; n=1660), tiredness (1.9%; n=1362) and swelling (1.5%; n=1121).
CONCLUSIONS: High and rapid response rates demonstrate good participant engagement with active surveillance in both pharmacy and non-pharmacy participants. Significantly fewer AEFIs reported after pharmacist immunisations compared with non-pharmacy immunisations, with no difference in older adults, may suggest different cohorts attend pharmacy versus non-pharmacy immunisers. The integrated pharmacy system is rapidly scalable across Australia with global potential. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  adverse events; primary care; public health

Year:  2021        PMID: 34103321     DOI: 10.1136/bmjopen-2020-048109

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


  3 in total

1.  Immunisation provider experiences with an automated short message service-based active surveillance system for monitoring adverse events following immunisation: A qualitative descriptive study.

Authors:  Gurkamal Singh; Rachel Nesaraj; Nicolas Bchara; Benjamin Kop; Alan Leeb; Lisa Nissen; Ian Peters; Danae Perry; Sandra Salter; Kenneth Lee
Journal:  Digit Health       Date:  2021-09-29

Review 2.  Current Approaches to Vaccine Safety Using Observational Data: A Rationale for the EUMAEUS (Evaluating Use of Methods for Adverse Events Under Surveillance-for Vaccines) Study Design.

Authors:  Lana Yh Lai; Faaizah Arshad; Carlos Areia; Thamir M Alshammari; Heba Alghoul; Paula Casajust; Xintong Li; Dalia Dawoud; Fredrik Nyberg; Nicole Pratt; George Hripcsak; Marc A Suchard; Dani Prieto-Alhambra; Patrick Ryan; Martijn J Schuemie
Journal:  Front Pharmacol       Date:  2022-03-22       Impact factor: 5.810

3.  Adverse effect investigation using application software after vaccination against SARS-CoV-2 for healthcare workers.

Authors:  Shingo Yamazaki; Kenta Watanabe; Yoshio Okuda; Misao Urushihara; Hiromi Koshikawa; Hitoshi Chiba; Misuzu Yahaba; Toshibumi Taniguchi; Taka-Aki Nakada; Hiroshi Nakajima; Itsuko Ishii; Hidetoshi Igari
Journal:  J Infect Chemother       Date:  2022-03-01       Impact factor: 2.065

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.