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TitleDecision making in health and medicine : integrating evidence and values / M.G. Myriam Hunink, Milton C. Weinstein, Eve Wittenberg, Michael F. Drummond, Joseph S. Pliskin, John B. Wong, Paul P. Glasziou
ImprintCambridge : Cambridge University Press, 2014
Edition Second edition
Connect tohttps://doi.org/10.1017/CBO9781139506779
Descript 1 online resource (xxi, 424 pages) : digital, PDF file(s)

SUMMARY

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


CONTENT

Elements of decision making in health care -- Managing uncertainty -- Choosing the best treatment -- Valuing outcomes -- Interpreting diagnostic information -- Deciding when to test -- Multiple test results -- Finding and summarizing the evidence -- Constrained resources -- Recurring events -- Estimation, calibration, and validation -- Heterogeneity and uncertainty -- Psychology of judgment and choice


Medicine -- Decision making Medical care -- Decision making Evidence-based medicine Values



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