title: Application of analytic hierarchy process for measuring and comparing the global performance of intensive care units.
abstract: OBJECTIVE
  To develop a model for the global performance measurement of intensive care units (ICUs) and to apply that model to compare the services for quality improvement.
  
  
  METHODS
  Analytic hierarchy process, a multiple-attribute decision-making technique, is used in this study to evolve such a model. The steps consisted of identifying the critical success factors for the best performance of an ICU, identifying subfactors that influence the critical factors, comparing them pairwise, deriving their relative importance and ratings, and calculating the cumulative performance according to the attributes of a given ICU. Every step in the model was derived by group discussions, brainstorming, and consensus among intensivists.
  
  
  RESULTS
  The model was applied to 3 ICUs, 1 each in Barbados, Trinidad, and India in tertiary care teaching hospitals of similar setting. The cumulative performance rating of the Barbados ICU was 1.17 when compared with that of Trinidad and Indian ICU, which were 0.82 and 0.75, respectively, showing that the Trinidad and Indian ICUs performed 70% and 64% with respect to Barbados ICU. The model also enabled identifying specific areas where the ICUs did not perform well, which helped to improvise those areas.
  
  
  CONCLUSIONS
  Analytic hierarchy process is a very useful model to measure the global performance of an ICU.
authors.affiliation: Anaesthesia and Intensive Care, The University of the West Indies, St. Augustine, Trinidad and Tobago. hseetharaman@fms.uwi.tt
authors.forename: Seetharaman
authors.initials: S
authors.lastname: Hariharan
authors.forename: Prasanta K
authors.initials: PK
authors.lastname: Dey
authors.forename: Deryk R
authors.initials: DR
authors.lastname: Chen
authors.forename: Harley S L
authors.initials: HS
authors.lastname: Moseley
authors.forename: Areti Y
authors.initials: AY
authors.lastname: Kumar
mesh_terms: D001460:Barbados; D019985:Benchmarking / Q000379:methods*; D017052:Hospital Mortality; D006801:Humans; D007194:India; D007362:Intensive Care Units / Q000145:classification* / Q000458:organization & administration; D017146:Models, Organizational; D014300:Trinidad and Tobago