OBJECTIVES: 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). DATA SOURCES: Fifty five thousand seven hundred and fifty two matched hospitalizations from 2001 VA inpatient surgical discharge data and NSQIP chart-abstracted data. STUDY DESIGN: 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. DATA COLLECTION: FY01 inpatient discharge data were merged with 2001 NSQIP data abstracted from medical records for major noncardiac surgeries. PRINCIPAL FINDINGS: 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.
OBJECTIVES: 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). DATA SOURCES: Fifty five thousand seven hundred and fifty two matched hospitalizations from 2001 VA inpatient surgical discharge data and NSQIP chart-abstracted data. STUDY DESIGN: 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. DATA COLLECTION: FY01 inpatient discharge data were merged with 2001 NSQIP data abstracted from medical records for major noncardiac surgeries. PRINCIPAL FINDINGS: 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: E P McCarthy; L I Iezzoni; R B Davis; R H Palmer; M Cahalane; M B Hamel; K Mukamal; R S Phillips; D T Davies Journal: Med Care Date: 2000-08 Impact factor: 2.983
Authors: S N Weingart; L I Iezzoni; R B Davis; R H Palmer; M Cahalane; M B Hamel; K Mukamal; R S Phillips; D T Davies; N J Banks Journal: Med Care Date: 2000-08 Impact factor: 2.983
Authors: Chester L Davis; John R Pierce; William Henderson; C David Spencer; Christine Tyler; Robert Langberg; Jennan Swafford; Gladys S Felan; Martha A Kearns; Brigitte Booker Journal: J Am Coll Surg Date: 2007-03-02 Impact factor: 6.113
Authors: William R Best; Shukri F Khuri; Maureen Phelan; Kwan Hur; William G Henderson; John G Demakis; Jennifer Daley Journal: J Am Coll Surg Date: 2002-03 Impact factor: 6.113
Authors: Richard E Nelson; Scott D Grosse; Norman J Waitzman; Junji Lin; Scott L DuVall; Olga Patterson; James Tsai; Nimia Reyes Journal: Thromb Res Date: 2015-01-26 Impact factor: 3.944
Authors: Hillary J Mull; Ann M Borzecki; Susan Loveland; Kathleen Hickson; Qi Chen; Sally MacDonald; Marlena H Shin; Marisa Cevasco; Kamal M F Itani; Amy K Rosen Journal: Am J Surg Date: 2013-11-07 Impact factor: 2.565
Authors: Tina Hernandez-Boussard; Kathryn M McDonald; John M Morton; Ronald L Dalman; Fritz R Bech Journal: J Am Coll Surg Date: 2012-03-15 Impact factor: 6.113
Authors: Julia Shelton; Kristy Kummerow; Sharon Phillips; Patrick G Arbogast; Marie Griffin; Michael D Holzman; William Nealon; Benjamin K Poulose Journal: J Surg Educ Date: 2014-04-19 Impact factor: 2.891
Authors: Alok Kapoor; Priscilla Chew; Rebecca A Silliman; Elaine M Hylek; Jeffrey N Katz; Howard Cabral; Dan Berlowitz Journal: J Am Geriatr Soc Date: 2013-03-21 Impact factor: 5.562
Authors: Maja Segedi; Andrzej K Buczkowski; Charles H Scudamore; Eric M Yoshida; Alison C Harris; Kristin DeGirolamo; Stephen W Chung Journal: HPB (Oxford) Date: 2013-02-01 Impact factor: 3.647
Authors: Amy K Rosen; Susan A Loveland; Patrick S Romano; Kamal M F Itani; Jeffrey H Silber; Orit O Even-Shoshan; Michael J Halenar; Yun Teng; Jingsan Zhu; Kevin G Volpp Journal: Med Care Date: 2009-07 Impact factor: 2.983