Decision Making in Health and Medicine

Integrating Evidence and Values

Nonfiction, Health & Well Being, Medical, Ailments & Diseases, Infectious Diseases, Epidemiology, Reference, Public Health
Cover of the book Decision Making in Health and Medicine by M. G. Myriam Hunink, Milton C. Weinstein, Eve Wittenberg, Michael F. Drummond, Joseph S. Pliskin, John B. Wong, Paul P. Glasziou, Cambridge University Press
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Author: M. G. Myriam Hunink, Milton C. Weinstein, Eve Wittenberg, Michael F. Drummond, Joseph S. Pliskin, John B. Wong, Paul P. Glasziou ISBN: 9781316055212
Publisher: Cambridge University Press Publication: October 16, 2014
Imprint: Cambridge University Press Language: English
Author: M. G. Myriam Hunink, Milton C. Weinstein, Eve Wittenberg, Michael F. Drummond, Joseph S. Pliskin, John B. Wong, Paul P. Glasziou
ISBN: 9781316055212
Publisher: Cambridge University Press
Publication: October 16, 2014
Imprint: Cambridge University Press
Language: English

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.

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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.

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