title: A HRG-based costing model for estimating pharmacy costs associated with surgical procedures.
abstract: OBJECTIVE
  The present study addresses pharmacy expenditure within a surgical directorate in a UK hospital. The aim of the study was to develop a health care resource group (HRG)-based costing model that can be used to forecast pharmacy expenditure based on surgical casemix. Such a model will be of benefit as an expenditure projection tool at a time when hospitals are developing accelerated operation programmes in an attempt to decrease hospital waiting times.
  
  
  METHODS
  During the period February-April 2000, nursing staff recorded all pharmacy sourced items for each individual operation in the theatres used for general surgery, ENT surgery and gynaecological procedures; each operation was also classified according to its HRG. The associated costs of the items per HRG were identified and the average pharmaceutical cost per HRG calculated and included in the costing model. The model derived costs over the study period were compared with the actual pharmacy expenditure which was obtained from the pharmacy computer system. Finally HRG data for operations carried out in February 2002 were costed using the model for validation purposes.
  
  
  RESULTS
  The estimated pharmaceutical cost for surgery items for February-April 2000 was 121,235 UK pounds. This figure was 3.92% over the actual pharmaceutical expenditure as determined from computer records. The February 2002 casemix varied considerably from that of 2000. However, the model estimated pharmaceutical cost of surgery performed in February 2002 (38,054 UK pounds) was again very similar to the computer logged expenditure (1.09% under the actual expenditure for that period) indicating the robustness of the HRG-based costing approach.
authors.affiliation: Clinical and Practice Research Group, School of Pharmacy, Queen's University Belfast, 97 Lisburn Road, Belfast, N. Ireland, UK.
authors.forename: C
authors.initials: C
authors.lastname: Scullin
authors.forename: M G
authors.initials: MG
authors.lastname: Scott
authors.forename: M
authors.initials: M
authors.lastname: Gribbin
authors.forename: J C
authors.initials: JC
authors.lastname: McElnay
mesh_terms: D003361:Cost Allocation / Q000379:methods; D003362:Cost-Benefit Analysis / Q000379:methods; D003625:Data Collection / Q000379:methods; D003695:Delivery of Health Care / Q000639:trends; D016527:Drug Costs; D019538:Health Care Surveys / Q000191:economics* / Q000379:methods; D006301:Health Services Needs and Demand / Q000191:economics / Q000639:trends; D017721:Hospital Costs; D006784:Hospitals, Teaching; D006801:Humans; D018803:Models, Economic; D013514:Surgical Procedures, Operative / Q000145:classification / Q000191:economics* / Q000706:statistics & numerical data; D013997:Time Factors; D014850:Waiting Lists