Priority setting in health care using multi-attribute utility theory and programme budgeting and marginal analysis (PBMA).
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.
Peacock
Stuart J
SJ
Centre for Health Economics Research in Cancer, Cancer Control Research, BC Cancer Agency, Vancouver, BC, Canada. speacock@bccrc.ca <speacock@bccrc.ca>
Richardson
Jeff R J
JR
Carter
Rob
R
Edwards
Diana
D
D001315:Australia; D002017:Budgets / Q000379:methods*; D006292:Health Priorities / Q000191:economics*; D006801:Humans; D015233:Models, Statistical; D008962:Models, Theoretical; D009313:National Health Programs; D019982:Organizational Case Studies