TY - BOOK
T1 - Decision making in health and medicine
T2 - Integrating evidence and values
AU - Hunink, M. G Myriam
AU - Weinstein, Milton C.
AU - Wittenberg, Eve
AU - Drummond, Michael F.
AU - Pliskin, Joseph S.
AU - Wong, John B.
AU - Wong, John B.
AU - Glasziou, Paul P.
PY - 2014/1/1
Y1 - 2014/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84953725670&partnerID=8YFLogxK
U2 - 10.1017/CBO9781139506779
DO - 10.1017/CBO9781139506779
M3 - Scholarly edition
AN - SCOPUS:84953725670
SN - 9781107690479
BT - Decision making in health and medicine
PB - Cambridge University Press
ER -
