Analytical Models for Decision MakingHealth 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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Common terms and phrases
activity approach assumptions audit meeting benefits branch budget build calculated cells cent chance node Chapter cognitive map column concepts constraints costs criteria criterion cycle day surgery Decision Analysis decision areas decision makers decision options decision problem decision tree disease distribution DRGs effects estimates Ex-smoker tree example expected utility factors Feedback Figure flows formulae game theory health services hip replacement hospital identify impact factor in-patient infected influence diagram involved judgements junior doctors length of stay levels lives saved Markov Markov property methods microsimulation needs assessment norm 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 Smoker tree spreadsheet Table total hip replacement treatment tree C3 types uncertainty values variables varicose vein weights