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. (c) 2006 Elsevier Ltd. All rights reserved.
|Pages (from-to)||897 - 910|
|Number of pages||14|
|Journal||Social Science & Medicine|
|Publication status||Published - 2007|