Economic evaluation in genomic and precision medicine /
Economic Evaluation in Genomic and Precision Medicine provides an in-depth examination of essential concepts, protocols and applications of economic evaluation in genomic and precision medicine. Contributions from leading international medical geneticists and health economists compile new ways to ef...
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| Other Authors: | , , , |
| Format: | eBook |
| Language: | English |
| Published: |
London ; San Diego, CA :
Academic Press,
[2023]
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| Series: | Translational and applied genomics series.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Intro
- Economic Evaluation in Genomic and Precision Medicine
- Copyright
- Contents
- Contributors
- Preface
- Chapter 1: Introduction to economic evaluation in health sciences
- 1.1. Introduction
- 1.2. Key economic concepts and terminology used in health economics
- 1.2.1. Budget constraints and demand
- 1.2.2. Utility
- 1.2.3. Indifference curves
- 1.2.4. Social welfare
- 1.3. Economic evaluation
- 1.3.1. Rationale for economic evaluation
- 1.3.2. Types of economic evaluation
- 1.3.2.1. The extra-welfarist approach to economic evaluation
- 1.3.2.2. The welfarist approach to economic evaluation
- 1.3.2.3. Welfarism versus extra-welfarism: Which approach should be used?
- 1.4. Concluding remarks
- References
- Chapter 2: Foundations of pharmacogenomics and personalized medicine
- 2.1. Introduction
- 2.2. Implementing pharmacogenomics into clinical care
- 2.2.1. Pharmacogenomics for cancer therapeutics
- 2.2.2. Pharmacogenomics for drug treatment of cardiovascular diseases
- 2.2.3. Pharmacogenomics for psychiatric diseases
- 2.3. Electronic tools for translating genomic findings into a clinically meaningful format
- 2.4. Assessing the ethical, societal, and financial aspects of personalized medicine
- 2.4.1. Ethical and legal issues
- 2.4.2. Raising genomics awareness among healthcare professionals and the general public
- 2.4.3. Economic evaluation of personalized medicine interventions
- 2.5. Large-scale personalized medicine implementation efforts worldwide
- 2.6. Conclusions and future perspectives
- Acknowledgments
- References
- Chapter 3: Economic evaluation of genome-guided treatment in oncology
- 3.1. Introduction
- 3.2. Methodological challenges
- 3.3. The inseparability of test and treatment
- 3.4. Value of testing
- 3.5. Cost-effectiveness comparator
- 3.6. Pricing and reimbursement.
- 3.7. Conclusion
- References
- Chapter 4: Economic evaluation of rare diseases and the diagnostic odyssey
- 4.1. Introduction
- 4.2. Genomics and rare diseases
- 4.2.1. Diagnostic odyssey
- 4.2.2. Opportunity for genomics
- 4.2.2.1. Clinical and healthcare system implications of genomic testing
- 4.3. Economic evaluations of genomics in rare diseases
- 4.3.1. Step 1: Determine comparators and study design
- 4.3.1.1. Selected literature examples
- Using a trial cohort to compare testing methods-Sagoo et al. (2015)
- Using a retrospective cohort to estimate impact of testing sequence-Schofield et al. (2017)
- Comparing two different genomic approaches in a retrospective cohort-Hayeems et al. (2017)
- 4.3.1.2. Recommendations
- 4.3.2. Step 2: Estimate health and non-health outcomes
- 4.3.2.1. Selected literature examples
- Cost per additional diagnosis-Vissers et al. (2017)
- Cost per additional diagnosis and changes in management-Soden et al. (2014)
- Cases avoided through testing-Azimi et al. (2016)
- How is personal utility estimated?
- 4.3.2.2. Recommendations
- 4.3.3. Step 3: Estimate costs
- 4.3.3.1. Selected literature examples
- Costing surveys for laboratory tests-Wordsworth et al. (2007)
- Bottom-up microcosting of clinical activity-Tsiplova et al. (2017)
- 4.3.3.2. Recommendations
- 4.3.4. Step 4: Estimate relationship between costs and outcomes
- 4.3.4.1. Selected literature examples
- Cost-effectiveness, net benefit, and personal utility-Regier et al. (2010)
- Cost per QALY among relatives of affected individuals-Perez et al. (2011)
- Cost per additional diagnosis achieved-Tan et al. (2017)
- Costs and consequences of technology adoption-Córdoba et al. (2018)
- 4.3.4.2. Recommendations
- 4.4. Conclusion
- Acknowledgment
- References.
- Chapter 5: Economic analysis of pharmacogenetics testing for human leukocyte antigen-based adverse drug reactions
- 5.1. Introduction
- 5.2. Economic evaluation of adverse drug reaction-related human leukocyte antigen genotyping, its guidelines, and current ...
- 5.2.1. Abacavir-induced hypersensitivity reaction
- 5.2.1.1. Health economic evidence for HLA-B*57:01 screening for HIV
- 5.2.2. Allopurinol-induced hypersensitivity reaction
- 5.2.2.1. Health economic evidence for HLA-B*58:01 screening before prescribing allopurinol
- 5.2.3. Carbamazepine-induced hypersensitivity reaction
- 5.3. Conclusions
- References
- Chapter 6: Economic evaluation of personalized medicine interventions in medium- and low-income countries with poor pro
- 6.1. Introduction
- 6.2. Implementing personalized medicine interventions beyond high-income countries: Setting the scene
- 6.2.1. Challenges in low-income and lower middle-income countries outside Europe
- 6.2.2. Challenges in upper middle-income countries in Europe
- 6.3. Examples of economic evaluations of personalized medicine interventions in medium- and low-income countries
- 6.3.1. Anticoagulation and antiplatelet therapies
- 6.3.2. Antidepressants
- 6.3.3. Allopurinol
- 6.3.4. Human papillomavirus testing
- 6.4. A generic model as tool for measuring cost-effectiveness of personalized medicine interventions in medium- and low-i ...
- 6.5. Conclusion and future perspectives
- Acknowledgments
- References
- Chapter 7: Theoretical models for economic evaluation in genomic and personalized medicine
- 7.1. Introduction
- 7.2. The genome economics model
- 7.3. Generalization of the genome economics model
- 7.4. Perspectives
- References
- Chapter 8: Using ``big data´´ for economic evaluations in genomics
- 8.1. Introduction.
- 8.2. Using ``big data´´ for the economic evaluation of genomic tests
- 8.3. Analytics for omics data
- 8.4. Difficulties in using ``big data´´ in for economic evaluation of sequencing tests
- 8.4.1. Data collection challenges
- 8.4.1.1. Small number of observations
- 8.4.1.2. Insufficient outcomes data for cost-effectiveness analysis
- 8.4.2. Data management challenges
- 8.4.2.1. Data linkage
- 8.4.2.2. Large number of zero observations
- 8.4.2.3. Difficulties in setting up big datasets for economic evaluation
- 8.4.3. Data analysis challenges
- 8.4.3.1. Selection bias and confounding
- 8.4.3.2. Lack of a counterfactual
- 8.4.4. Identifying key challenges
- 8.5. Conclusions
- References
- Further reading
- Chapter 9: Assessing the stakeholder environment and views towards implementation of personalized medicine in a healt
- 9.1. Introduction
- 9.2. Identifying stakeholders in personalized medicine
- 9.3. Eliciting and analyzing stakeholder views and opinions related to personalized medicine
- 9.4. Implementing stakeholder analysis in genomic and personalized medicine: An example from the preliminary assessment o ...
- 9.5. Defining opportunities and threats when implementing genomic and personalized medicine in Greece
- 9.6. Concluding remarks
- Acknowledgments
- References
- Chapter 10: Feasibility for pricing, budget allocation, and reimbursement of personalized medicine interventions
- 10.1. Introduction
- 10.2. Institutions involved in pricing and reimbursement
- 10.3. Coverage, pricing, and reimbursement strategies for genomic testing services
- 10.4. A proposed strategy for pricing and reimbursement in personalized medicine
- 10.4.1. Ensure access to essential genomic testing services for all at acceptable and affordable prices for the healthcar.
- 10.4.2. Establish a common and centralized regulation to ensure safety, efficacy, quality, and fairness, while allowing s ...
- 10.4.3. Implementation of genomic tests and information by physicians, according to patient needs and clinical utility/ac ...
- 10.4.4. Invest in the research of personalized medicine, evaluate novel and existing diagnostic procedures, and monitor p ...
- 10.5. Restrictions and concerns
- 10.6. Conclusions
- References
- Index.