Vaccination in Pregnancy & Data Sharing in Public Health: A Data Mapping Exercise & Barriers Descriptive Analyses
Introduction: Vaccination in pregnancy (VIP) is a promising contribution to globally reducing neonatal and under-five childhood mortality and morbidity. However, implementation of current recommendations for universal VIP remains a challenge in Canada, calling for a thorough assessment of benefits and risks to pregnant women and their unborn babies. In this context a data mapping exercise of best available VIP possible benefits and risks variables and their sources in Alberta, Canada is being examined.
Methods: Variables were identified using GAIA’s project case definitions of key obstetric and neonatal health outcomes, in addition to traditional variables used for vaccination uptake measurement. A data mapping exercise data mapped data fields from diverse data sources including administrative health data repositories, Alberta’s Perinatal program dataset and communicable diseases databases. Descriptive analyses of barriers to data sharing among administrative health data repositories is proposed using a published framework for data sharing in public health.
Results: Analyses of data mapping exercise and description of barriers to data sharing are being classified in six categories: technical, motivational, economic, political, legal and ethical.
Conclusion: A standardized approach for VIP effectiveness and safety data collection and reporting is feasible in the Albertan context