This book summarizes current theory and evidence relating to immunization supply, demand, distribution, and financing. It provides readers with an understanding of the obstacles faced in the field, and the possible approaches to corresponding solutions.
This book summarizes current theory and evidence relating to immunization supply, demand, distribution, and financing. It provides readers with an understanding of the obstacles faced in the field, and the possible approaches to corresponding solutions.
David Bishai is a professor at Johns Hopkins Bloomberg School of Public Health and the former President of the International Health Economics Association. From 2016 to 2020 he led partners from 6 countries in producing courses in vaccine economics. Logan Brenzel is a health economist with more than 35 years of health financing and development experience worldwide. Logan has a PhD in Health Economics from the Johns Hopkins University School of Hygiene and Public Health; an MS in Health Policy and Management from the Harvard School of Public Health; and a BA in Human Biology and Humanities (Honors) from Stanford University. At the Bill & Melinda Gates Foundation, Logan manages a portfolio on immunization economics and financing, including COVID-19 vaccines, and supports health systems strengthening partnerships in the Africa region. Since 2003, Logan has provided policy advice to Gavi related to co-financing, eligibility, and transition. William Padula is a professor of pharmaceutical and health economics at University of Southern California, and fellow in the Leonard Schaeffer Center for Health Policy & Economics. His work explores the theoretical foundations of medical cost-effectiveness analysis. He teaches coursework in vaccine economics at universities throughout Africa, Asia, Europe, and North America. In 2021, he published the first peer-reviewed U.S. model on the cost-effectiveness of COVID-19 vaccination. He holds a PhD in Pharmaceutical Outcomes Research from University of Colorado; MS, Evaluative Clinical Science from Dartmouth College; MS, Analytics from University of Chicago; and BS, Chemical Engineering from Northwestern University.
Inhaltsangabe
* 1. Principles of vaccine economics * 1.0: Chapter introduction * 1.1: Introduction to global vaccine systems * 1.2: Relevance of health economics to vaccines * 1.3: Cost of finding and making vaccines: implications for immunization programs * 1.4: Vaccination as investment in human capital * 1.5: Economics of vaccine delivery * 2. Estimating the cost of immunization services * 2.0: Chapter introduction * 2.1: Why costing studies are needed * 2.2: Defining immunization costs * 2.3: Designing a primary costing study or analysis * 2.4: Data analysis * 2.5: Costing new vaccine introduction * 3. Economic evaluation of vaccines and vaccine programs * 3.0: Chapter introduction * 3.1: Overview of decision analysis and cost-effectiveness * 3.2: Defining the scope and study design of cost-effectiveness analysis * 3.3: Parameter estimation * 3.4: Measuring and valuing health outcomes * 3.5: Reporting and interpreting results of economic evaluation * 3.6: Budget impact analysis and return on investment * 3.7: Introduction to decision tree modeling * 4. Advanced methods in economic evaluation * 4.0: Chapter introduction * 4.1: Introduction to Markov modeling * 4.2: Static and dynamic modeling * 4.3: Probabilistic sensitivity analysis and value of information analysis * 4.4: Economic evaluation reference case with Markov model * 5. Financing and resource tracking of vaccination Pprograms * 5.0: Chapter introduction * 5.1: Introduction to immunization financing and expenditure * 5.2: Financing of immunization programs * 5.3: Donor architecture for immunization financing * Appendices * 1: EXERCISE: A CASE-STUDY ON ESTIMATING THE TOTAL AND UNIT ROUTINE IMMUNIZATION COSTS FROM THE FACILITY TO THE NATIONAL LEVEL * 2: EXERCISE: ESTIMATING NEW VACCINE INTRODUCTION COSTS * 3: IMMUNIZATION ACTIVITIES AND LINE ITEM COSTS * 4: MARKOV DECISION PROCESSES (MDPS) * 5: DERIVATION OF THE ANNUAL EXPECTED COSTS ASSOCIATED WITH THE INFECTED STATE * 6: MAKING MODELS PROBABILISTIC AND ESTIMATING THE VALUE OF INFORMATION
* 1. Principles of vaccine economics * 1.0: Chapter introduction * 1.1: Introduction to global vaccine systems * 1.2: Relevance of health economics to vaccines * 1.3: Cost of finding and making vaccines: implications for immunization programs * 1.4: Vaccination as investment in human capital * 1.5: Economics of vaccine delivery * 2. Estimating the cost of immunization services * 2.0: Chapter introduction * 2.1: Why costing studies are needed * 2.2: Defining immunization costs * 2.3: Designing a primary costing study or analysis * 2.4: Data analysis * 2.5: Costing new vaccine introduction * 3. Economic evaluation of vaccines and vaccine programs * 3.0: Chapter introduction * 3.1: Overview of decision analysis and cost-effectiveness * 3.2: Defining the scope and study design of cost-effectiveness analysis * 3.3: Parameter estimation * 3.4: Measuring and valuing health outcomes * 3.5: Reporting and interpreting results of economic evaluation * 3.6: Budget impact analysis and return on investment * 3.7: Introduction to decision tree modeling * 4. Advanced methods in economic evaluation * 4.0: Chapter introduction * 4.1: Introduction to Markov modeling * 4.2: Static and dynamic modeling * 4.3: Probabilistic sensitivity analysis and value of information analysis * 4.4: Economic evaluation reference case with Markov model * 5. Financing and resource tracking of vaccination Pprograms * 5.0: Chapter introduction * 5.1: Introduction to immunization financing and expenditure * 5.2: Financing of immunization programs * 5.3: Donor architecture for immunization financing * Appendices * 1: EXERCISE: A CASE-STUDY ON ESTIMATING THE TOTAL AND UNIT ROUTINE IMMUNIZATION COSTS FROM THE FACILITY TO THE NATIONAL LEVEL * 2: EXERCISE: ESTIMATING NEW VACCINE INTRODUCTION COSTS * 3: IMMUNIZATION ACTIVITIES AND LINE ITEM COSTS * 4: MARKOV DECISION PROCESSES (MDPS) * 5: DERIVATION OF THE ANNUAL EXPECTED COSTS ASSOCIATED WITH THE INFECTED STATE * 6: MAKING MODELS PROBABILISTIC AND ESTIMATING THE VALUE OF INFORMATION
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