Decision Making in Health and Medicine: Integrating Evidence and Values
2014
Decision making in health care involves consideration of a complex set of diagnostic, therapeutic and prognostic uncertainties. Medical therapies have side effects, surgical interventions may lead to complications, and diagnostic tests can produce misleading results. Furthermore, patient values and service costs must be considered. Decisions in clinical and health policy require careful weighing of risks and benefits and are commonly a trade-off of competing objectives: maximizing quality of life vs maximizing life expectancy vs minimizing the resources required.
This text covers decision trees, Bayesian revision, receiver operating characteristic curves, and cost-effectiveness analysis, as well as advanced topics such as Markov models, microsimulation, probabilistic sensitivity analysis and value of information analysis. It is intended for trainees and researchers involved in medical decision modelling, evidence-based medicine, clinical epidemiology, comparative effectiveness, public health, health economics, and health technology assessment.
Chapters include:
- Ch 1: Elements of Decision Making in Healthcare
- Ch 2: Managing Uncertainty
- Ch 3: Choosing the Best Treatment
- Ch 4: Valuing Outcomes
- Ch 5: Interpreting Diagnostic Information
- Ch 6: Deciding When to Test
- Ch 7: Multiple Test Results
- Ch 8: Finding and Summarizing the Evidence
- Ch 9: Constrained Resources
- Ch 10: Recurring Events
- Ch 11: Estimation, Calibration, and Validation
- Ch 12: Heterogeneity and Uncertainty
- Ch 13: Psychology of Judgment and Choice
Decision Making in Health and Medicine: Integrating Evidence and Values
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Source:
Hunink MGM, Weinstein MC, Wittenberg E et al. Decision Making in Health and Medicine: Integrating Evidence and Values, 2nd Edition. Cambridge University Press 2014. https://doi.org/10.1017/CBO9781139506779