STAR—people-powered prioritization: a 21st-century solution to allocation headaches

Mara Airoldi, Alec Morton, Jenifer Smith, Gwyn Bevan

Research output: Contribution to journalArticle

18 Citations (Scopus)
159 Downloads (Pure)

Abstract

The aim of cost effectiveness analysis (CEA) is to inform the allocation of scarce resources. CEA is routinely used in assessing the cost-effectiveness of specific health technologies by agencies such as the National Institute for Health and Clinical Excellence (NICE) in England and Wales. But there is extensive evidence that because of barriers of accessibility and acceptability, CEA has not been used by local health planners in their annual task of allocating fixed budgets to a wide range of types of health care. This paper argues that these planners can use Socio Technical Allocation of Resources (STAR) for that task. STAR builds on the principles of CEA and the practice of program budgeting and marginal analysis. STAR uses requisite models to assess the cost-effectiveness of all interventions considered for resource reallocation by explicitly applying the theory of health economics to evidence of scale, costs, and benefits, with deliberation facilitated through an interactive social process of engaging key stakeholders. In that social process, the stakeholders generate missing estimates of scale, costs, and benefits of the interventions; develop visual models of their relative cost-effectiveness; and interpret the results. We demonstrate the feasibility of STAR by showing how it was used by a local health planning agency of the English National Health Service, the Isle of Wight Primary Care Trust, to allocate a fixed budget in 2008 and 2009.
Original languageEnglish
Pages (from-to)965-975
Number of pages11
JournalMedical Decision Making
Volume34
Issue number8
Early online date12 Aug 2014
DOIs
Publication statusPublished - 1 Nov 2014

Keywords

  • priority setting
  • resource allocation
  • decision aid
  • cost effectiveness analysis

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