Analytical Models for Decision Making
Health care systems are complex and, as a result, it is often unclear what the effects of changes in policy or service provision might be. At the same time, resources for health care tend to be in short supply, which means that public health practitioners have to make difficult decisions. This book describes the quantitative and qualitative methods that can help decision-makers to structure and clarify difficult problems and to explore the implications of pursuing different options. The accompanying CD ROM provides the opportunity to try out some of the proposed solutions.
The book examines:
Series Editors: Rosalind Plowman and Nicki Thorogood.
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Overview of the book
Methods for clarifying complex decisions
Models for service planning and resource allocation
4 other sections not shown
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activity approach arrival rate assumptions average benefits branch budget build calculated capacity cell cent chance node changes Chapter clinical cognitive map column concepts constraints cost criteria criterion cycle day surgery Decision Analysis decision areas decision makers decision options decision problem decision tree disease distribution DRGs effects estimates ex-smokers example expected utility factors Feedback Figure flows formulae game theory given health services hip replacement identify impact factor in-patient influence diagram involved judgements length of stay levels lives saved Markov Markov property matrix methods microsimulation needs assessment number of lives objectives Operational Research outcomes output payoff payoff matrix planning population possible preference probabilities programme queue queuing theory random numbers rationality represented robustness Rosenhead scenarios scores sensitivity analysis service channels simulation smokers spreadsheet Table total hip replacement treated treatment types uncertainty values variables varicose vein weights workshop