Full Description
This book provides a robust set of health economic principles and methods to inform societal decisions in relation to research, reimbursement and regulation (pricing and monitoring of performance in practice). We provide a theoretical and practical framework that navigates to avoid common biases and suboptimal outcomes observed in recent and current practice of health economic analysis, as opposed to claiming to be comprehensive in covering all methods. Our aim is to facilitate efficient health system decision making processes in research, reimbursement and regulation, which promote constrained optimisation of community outcomes from a societal perspective given resource constraints, available technology and processes of technology assessment. Importantly, this includes identifying an efficient process to maximize the potential that arises from research and pricing in relation to existing technology under uncertainty, given current evidence and associated opportunity costs of investment. Principles and methods are identified and illustrated across health promotion, prevention and palliative care settings as well as treatment settings. Health policy implications are also highlighted.
Contents
1. Introduction.- Part I. Health Economic Principles and Practice for Robustly Evaluating Health System Investment with Trial, Model and Multiplier Methods Across Individual and Community Level Analyses.- 2. Principles and Practice for Trial Based Health Economic Analysis.- 3. Avoiding Frankenstein's Monster and Partial Analysis Problems: Robustly Synthesizing, Translating and Extrapolating Evidence.- 4. Beyond the Individual - Evaluating Community Based Health Promotion and Prevention Strategies and Palliative Care Domains of Effect.- Part II. Joint Research and Reimbursement Questions, Optimising Local and Global Trial Design and Decision Making Under Uncertainty within and Across Jurisdictions with Value of Information Methods.- 5. The Value of Value of Information Methods to Decision Making: What VOI Measures Enable Optimising Joint Research and Reimbursement Decisions within a Jurisdiction?.- 6. Globally Optimal Societal Decision Maker Trials.- 7. Value of INFORMATION, Pricing under Uncertainty and Risk Sharing with Optimal Global Trial Design.- Part III. Regulating Strategies and Providers in Practice: the Net Benefit Correspondence Theorem Enabling Robust Comparison of Multiple Strategies, Outcomes and Provider Efficiency in Practice Consistent with Net Benefit Maximisation.- 8. Best Informing Multiple Strategy Cost Effectiveness Analysis and Societal Decision Making - the Cost Disutility Plane and Expected Net Loss Curves and Frontiers.- 9. Including Quality of Care in Efficiency Measures: Creating Incentives Consistent with Maximising Net Benefit in Practice.- 10. Multiple Outcome Cost-Effectiveness Analysis in Cost-Disutility Space.- Part IV. The Health Shadow Price and Other Key Political Economy and Policy Issues - Appropriate Threshold Pricing and Policy Application of Methods for Optimizing Community Net Benefit with Budget Constraints.- 11. The Health Shadow Price and Economically Meaningful Threshold Values.- 12. Policy Implications and ApplicationsAcross Health Care Reform with Baby Boomer Ageing for Primary Care, Acute Care, Aged Care and Palliative care in Australia.- 13. Conclusion.
