By Colin Sanderson, Reinhold Gruen
Health and wellbeing care platforms are advanced and, consequently, it's always doubtful what the consequences of alterations in coverage or provider provision will be. while, assets for health and wellbeing care are usually briefly provide, this means that public healthiness practitioners need to make tricky judgements. This e-book describes the quantitative and qualitative tools that could support decision-makers to constitution and make clear tricky difficulties and to discover the consequences of pursuing assorted strategies. The accompanying CD-ROM presents the chance to attempt out many of the proposed suggestions. The publication examines: types and decision-making in overall healthiness care; tools for clarifying advanced judgements; versions for carrier making plans and source allocation; and, modelling for comparing adjustments in structures.
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Extra info for Analytical Models for Decision Making (Understanding Public Health)
Some of the relationships that you might include in your model at this stage are: • ‘Numbers of lives saved’ depends on the numbers treated and their treatment impact factors. • Treatment impact factors depend on the severity of the case mix and quality of care. • Quality of care depends on factors such as staff training and clinical audit systems. • Costs of treated cases depend on fixed and variable costs. • Fixed and variable costs depend on numbers of patients treated and the efficiency of the care providers.
Any decision may be based on a consensus but there may well be people who disagree. The key point is that once more than one criterion is involved, there is no objectively best option unless one option is equal to or better than all others on all criteria. 7 With the evaluation criteria set out in Chapter 1 in mind, what can you say about the scope for evaluating this model? ) Feedback In terms of transparency, simple spreadsheet models have the advantage that many managers are familiar with Excel, so they can examine the formulae and try the models out for themselves.
Including them in the initial model was not wasted effort on your part but a necessary part of the process of understanding the system. You also dropped some variables because there were no data available. It is good practice to think through the possible implications of this. It may be necessary to take steps (and the time and resources) to obtain new data, or include the variables in question and use estimates. You then used your model to predict numbers of lives saved with different patterns of activity and to explore the sensitivity of your results to changes in your model.
Analytical Models for Decision Making (Understanding Public Health) by Colin Sanderson, Reinhold Gruen