versiunea română

Decision Making in Health and Medicine Integrating Evidence and Values

Decision Making in Health and Medicine Integrating Evidence and Values
Price: 388,50 lei
Availability: in supplier's stock
ISBN: 9781107690479
Publishing Year: 2014
Edition: 2
Pages: 450
Dimensions: paperback


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 takes a proactive, systematic and rational approach to medical decision making. It 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 provides an essential resource for trainees and researchers involved in medical decision modelling, evidence-based medicine, clinical epidemiology, comparative effectiveness, public health, health economics, and health technology assessment.

Draws on evidence-based medicine, comparative effectiveness research, and health technology assessment, demonstrating the interdisciplinary nature of medical decision making
Uses concepts from clinical medicine, public health, clinical epidemiology, biostatistics, health economics, psychology
The accompanying website contains practical supplementary material for class assignments and as an aid to better understanding

Table of Contents

About the authors
List of abbreviations
1. Elements of decision making in health care
2. Managing uncertainty
3. Choosing the best treatment
4. Valuing outcomes
5. Interpreting diagnostic information
6. Deciding when to test
7. Multiple test results
8. Finding and summarizing the evidence
9. Constrained resources
10. Recurring events
11. Estimation, calibration and validation
12. Heterogeneity and uncertainty
13. Psychology of judgment and choice


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