Near Real Time Feedback of Seasonal Influenza Vaccination and Virological Sampling: Dashboard Utilisation in a Primary Care Sentinel Network

Harshana Liyanage; Oluwafunmi Akinyemi; Sameera Pathirannahelage; Mark Joy; Simon de Lusignan

doi:10.3233/SHTI200431

Near Real Time Feedback of Seasonal Influenza Vaccination and Virological Sampling: Dashboard Utilisation in a Primary Care Sentinel Network

Stud Health Technol Inform. 2020 Jun 16:270:1339-1340. doi: 10.3233/SHTI200431.

Authors

Harshana Liyanage¹, Oluwafunmi Akinyemi¹, Sameera Pathirannahelage¹, Mark Joy¹, Simon de Lusignan^{1

2}

Affiliations

¹ Nuffield Department of Primary Health Care Sciences, University of Oxford, UK.
² Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC), London, UK.

PMID: 32570648
DOI: 10.3233/SHTI200431

Abstract

Near-real time feedback on data quality allows clinicians and data managers at general practices to collectively contribute to improving the reliability of observational data. We report features of an enhanced dashboard used for virological surveillance after the first season of utilisation. Time-series analysis performed on dashboard usage data from 68 general practices (denominator = 722,409) indicated utilisation patterns that correlated to influenza vaccination in general practices. Near real time feedback via a dashboard may improve data quality and possibly vaccine uptake.

MeSH terms

Humans
Influenza Vaccines*
Influenza, Human*
Primary Health Care
Reproducibility of Results
Seasons
Sentinel Surveillance
Vaccination

Substances

Influenza Vaccines