title: Validity of selected AHRQ patient safety indicators based on VA National Surgical Quality Improvement Program data.
abstract: OBJECTIVE
  To examine the criterion validity of the Agency for Health Care Research and Quality (AHRQ) Patient Safety Indicators (PSIs) using clinical data from the Veterans Health Administration (VA) National Surgical Quality Improvement Program (NSQIP).
  
  
  METHODS
  Fifty five thousand seven hundred and fifty two matched hospitalizations from 2001 VA inpatient surgical discharge data and NSQIP chart-abstracted data.
  
  
  METHODS
  We examined the sensitivities, specificities, positive predictive values (PPVs), and positive likelihood ratios of five surgical PSIs that corresponded to NSQIP adverse events. We created and tested alternative definitions of each PSI.
  
  
  METHODS
  FY01 inpatient discharge data were merged with 2001 NSQIP data abstracted from medical records for major noncardiac surgeries.
  
  
  RESULTS
  Sensitivities were 19-56 percent for original PSI definitions; and 37-63 percent using alternative PSI definitions. PPVs were 22-74 percent and did not improve with modifications. Positive likelihood ratios were 65-524 using original definitions, and 64-744 using alternative definitions. "Postoperative respiratory failure" and "postoperative wound dehiscence" exhibited significant increases in sensitivity after modifications.
  
  
  CONCLUSIONS
  PSI sensitivities and PPVs were moderate. For three of the five PSIs, AHRQ has incorporated our alternative, higher sensitivity definitions into current PSI algorithms. Further validation should be considered before most of the PSIs evaluated herein are used to publicly compare or reward hospital performance.
authors.affiliation: UC Davis Division of General Medicine and Center for Healthcare Policy and Research, 4150 V Street, PSSB Suite 2400, Sacramento, CA 95817, USA. psromano@ucdavis.edu
authors.forename: Patrick S
authors.initials: PS
authors.lastname: Romano
authors.forename: Hillary J
authors.initials: HJ
authors.lastname: Mull
authors.forename: Peter E
authors.initials: PE
authors.lastname: Rivard
authors.forename: Shibei
authors.initials: S
authors.lastname: Zhao
authors.forename: William G
authors.initials: WG
authors.lastname: Henderson
authors.forename: Susan
authors.initials: S
authors.lastname: Loveland
authors.forename: Dennis
authors.initials: D
authors.lastname: Tsilimingras
authors.forename: Cindy L
authors.initials: CL
authors.lastname: Christiansen
authors.forename: Amy K
authors.initials: AK
authors.lastname: Rosen
mesh_terms: D000368:Aged; D016208:Databases, Factual; D005260:Female; D006787:Hospitals, Veterans / Q000458:organization & administration* / Q000592:standards; D006801:Humans; D008297:Male; D008875:Middle Aged; D011183:Postoperative Complications / Q000453:epidemiology / Q000517:prevention & control*; D011237:Predictive Value of Tests; D011785:Quality Assurance, Health Care / Q000458:organization & administration*; D019984:Quality Indicators, Health Care; D017751:Safety Management / Q000458:organization & administration* / Q000592:standards; D012680:Sensitivity and Specificity; D014481:United States / Q000453:epidemiology; D014493:United States Department of Veterans Affairs