title: Construction and characteristics of the RxRisk-V: a VA-adapted pharmacy-based case-mix instrument.
abstract: BACKGROUND
  Assessment of disease burden is the key to many aspects of health care management. Patient diagnoses are commonly used for case-mix assessment. However, issues pertaining to diagnostic data availability and reliability make pharmacy-based strategies attractive. Our goal was to provide a reliable and valid pharmacy-based case-mix classification system for chronic diseases found in the Veterans Health Administration (VHA) population.
  
  
  OBJECTIVE
  To detail the development and category definitions of a VA-adapted version of the RxRisk (formerly the Chronic Disease Score); to describe category prevalence and reliability; to check category criterion validity against ICD-9 diagnoses; and to assess category-specific regression coefficients in concurrent and prospective cost models.
  
  
  METHODS
  Clinical and pharmacological review followed by cohort analysis of diagnostic, pharmacy, and utilization databases.
  
  
  METHODS
  126,075 veteran users of VHA services in Washington, Oregon, Idaho, and Alaska.
  
  
  METHODS
  We used Kappa statistics to evaluate RxRisk category reliability and criterion validity, and multivariate regression to estimate concurrent and prospective cost models.
  
  
  RESULTS
  The RxRisk-V classified 70.5% of the VHA Northwest Network 1998 users into an average of 2.61 categories. Of the 45 classes, 33 classes had good-excellent 1-year reliability and 25 classes had good-excellent criterion validity against ICD-9 diagnoses. The RxRisk-V accounts for a distinct proportion of the variance in concurrent (R2 = 0.18) and prospective cost (R2 = 0.10) models.
  
  
  CONCLUSIONS
  The RxRisk-V provides a reliable and valid method for administrators to describe and understand better chronic disease burden of their treated populations. Tailoring to the VHA permits assessment of disease burden specific to this population.
authors.affiliation: VA Puget Sound Health Care System, Seattle, Washington 98108, USA. Kevin.Sloan@med.va.gov
authors.forename: Kevin L
authors.initials: KL
authors.lastname: Sloan
authors.forename: Anne E
authors.initials: AE
authors.lastname: Sales
authors.forename: Chuan-Fen
authors.initials: CF
authors.lastname: Liu
authors.forename: Paul
authors.initials: P
authors.lastname: Fishman
authors.forename: Paul
authors.initials: P
authors.lastname: Nichol
authors.forename: Norman T
authors.initials: NT
authors.lastname: Suzuki
authors.forename: Nancy D
authors.initials: ND
authors.lastname: Sharp
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D002908:Chronic Disease / Q000145:classification* / Q000188:drug therapy / Q000453:epidemiology; D016303:Clinical Pharmacy Information Systems; D017281:Cost of Illness; D003953:Diagnosis-Related Groups / Q000145:classification*; D011307:Drug Prescriptions; D017723:Drug Utilization Review; D005260:Female; D006801:Humans; D038801:International Classification of Diseases; D008297:Male; D008875:Middle Aged; D017059:Models, Econometric; D015999:Multivariate Analysis; D015205:Northwestern United States / Q000453:epidemiology; D010594:Pharmacies / Q000706:statistics & numerical data; D020379:Risk Adjustment / Q000379:methods* / Q000592:standards; D014481:United States; D014493:United States Department of Veterans Affairs; D014728:Veterans / Q000145:classification / Q000706:statistics & numerical data*