000			02985nam a22003858i 4500
001			CR9781139506779
003			UkCbUP
005			20200124160305.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			120515s2014||||enk o ||1 0|eng|d
020			_a9781139506779 (ebook)
020			_z9781107690479 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aR723.5 _b.H86 2014
082	0	0	_a610 _223
100	1		_aHunink, M. G. Myriam, _eauthor.
245	1	0	_aDecision making in health and medicine : _bintegrating evidence and values / _cM.G. Myriam Hunink, Milton C. Weinstein, Eve Wittenberg, Michael F. Drummond, Joseph S. Pliskin, John B. Wong, Paul P. Glasziou.
246	3		_aDecision Making in Health & Medicine
250			_aSecond edition.
264		1	_aCambridge : _bCambridge University Press, _c2014.
300			_a1 online resource (xxi, 424 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	0		_aElements 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.
520			_aDecision 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.
650		0	_aMedicine _xDecision making.
650		0	_aMedical care _xDecision making.
650		0	_aEvidence-based medicine.
650		0	_aValues.
776	0	8	_iPrint version: _z9781107690479
856	4	0	_uhttps://doi.org/10.1017/CBO9781139506779
999			_c520677 _d520675