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Decision making in health and medici...
~
Hunink, M. G. Myriam.
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Decision making in health and medicine = integrating evidence and values /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Decision making in health and medicine/ M.G. Myriam Hunink ... [et al.].
Reminder of title:
integrating evidence and values /
remainder title:
Decision Making in Health & Medicine
other author:
Hunink, M. G. Myriam.
Published:
Cambridge :Cambridge University Press, : 2014.,
Description:
xxi, 424 p. :ill., digital ;24 cm.
[NT 15003449]:
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.
Subject:
Medicine - Decision making. -
Online resource:
https://doi.org/10.1017/CBO9781139506779
ISBN:
9781139506779
Decision making in health and medicine = integrating evidence and values /
Decision making in health and medicine
integrating evidence and values /[electronic resource] :Decision Making in Health & MedicineM.G. Myriam Hunink ... [et al.]. - Second edition. - Cambridge :Cambridge University Press,2014. - xxi, 424 p. :ill., digital ;24 cm.
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.
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.
ISBN: 9781139506779Subjects--Topical Terms:
761471
Medicine
--Decision making.
LC Class. No.: R723.5
Dewey Class. No.: 610
Decision making in health and medicine = integrating evidence and values /
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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.
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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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https://doi.org/10.1017/CBO9781139506779
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EB R723.5
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