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Priority setting in health care using multi-attribute utility theory and programme budgeting and marginal analysis
Stuart J Peacock1, Jeff R J Richardson, Rob Carter
1Centre for Health Economics Research in Cancer, Cancer Control Research, BC Cancer Agency, Vancouver, BC, Canada. speacock@bccrc.ca <speacock@bccrc.ca>
Abstract:
Programme budgeting and marginal analysis (PBMA) is becoming an increasingly popular tool in setting health service priorities. This paper presents a novel multi-attribute utility (MAU) approach to setting health service priorities using PBMA. This approach includes identifying the attributes of the MAU function; describing and scaling attributes; quantifying trade-offs between attributes; and combining single conditional utility functions into the MAU function. We illustrate the MAU approach using a PBMA case study in mental health services from the Community Health Sector in metropolitan South Australia.
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