The EPIC project is proud to announce the Sample Design Instrument (SDO) instrument. This instrument aims to assist research teams develop cost-effective and efficient sample design to maximize expected precision within a data collection budget constraint.
The EPIC project is proud to announce the Sample Design Optimizer (SDO) instrument. This instrument aims to assist research teams develop cost-effective and efficient sample design to maximize expected precision within a data collection budget constraint.
A new working paper provides a practical guide on immunization costing primary data collection and analysis. We would like to invite the Immunization Economics community to explore the working paper and provide feedback
Analyses estimating program costs collected on a subsample of facilities are subject to statistical uncertainty, often quantified via standard errors and/or 95% confidence intervals. This recent publication elaborates methods to reduce statistical uncertainty.
In the October 2017 Newsletter Issue, Dr. Brenzel thanks and welcomes the members of the Immunization Economics Community of Practice. Read her welcome letter here.
Using a unique pooled dataset of 316 health facilities in six countries, EPIC project analyses describe differences in unit cost estimates assocated with service volume, delivery methods, immunization coverage, staff training, seniority, and site location. Access datasets and paper here.
Health Policy & Planning podcast discusses the importance in understanding detailed cost structure, its relationship with efficiency, and implications for health policy and future planning in immunization programs. Listen to podcast here.
Health Policy and Planning blogpost examines how detailed understanding of the cost structure of immunization programs can inform policy. Read more here.