Literature DB >> 21993057

Validating the patient safety indicators in the Veterans Health Administration: do they accurately identify true safety events?

Amy K Rosen1, Kamal M F Itani, Marisa Cevasco, Haytham M A Kaafarani, Amresh Hanchate, Marlena Shin, Michael Shwartz, Susan Loveland, Qi Chen, Ann Borzecki.   

Abstract

BACKGROUND: The Agency for Healthcare Research and Quality (AHRQ) Patient Safety Indicators (PSIs) use administrative data to detect potentially preventable in-hospital adverse events. However, few studies have determined how accurately the PSIs identify true safety events.
OBJECTIVES: We examined the criterion validity, specifically the positive predictive value (PPV), of 12 selected PSIs using clinical data abstracted from the Veterans Health Administration (VA) electronic medical record as the gold standard.
METHODS: We identified PSI-flagged cases from 28 representative hospitals by applying the AHRQ PSI software (v.3.1a) to VA fiscal year 2003 to 2007 administrative data. Trained nurse-abstractors used standardized abstraction tools to review a random sample of flagged medical records (112 records per PSI) for the presence of true adverse events. Interrater reliability was assessed. We evaluated PPVs and associated 95% confidence intervals of each PSI and examined false positive (FP) cases to determine why they were incorrectly flagged and gain insight into how each PSI might be improved.
RESULTS: PPVs ranged from 28% (95% CI, 15%-43%) for Postoperative Hip Fracture to 87% (95% CI, 79%-92%) for Postoperative Wound Dehiscence. Common reasons for FPs included conditions that were present on admission (POA), coding errors, and lack of coding specificity. PSIs with the lowest PPVs had the highest proportion of FPs owing to POA.
CONCLUSIONS: Overall, PPVs were moderate for most of the PSIs. Implementing POA codes and using more specific ICD-9-CM codes would improve their validity. Our results suggest that additional coding improvements are needed before the PSIs evaluated herein are used for hospital reporting or pay for performance.

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Year:  2012        PMID: 21993057     DOI: 10.1097/MLR.0b013e3182293edf

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  24 in total

1.  Behavioral medicine translation in the Veterans Health Administration: editorial to the special section on the Department of Veterans Affairs.

Authors:  Sara J Knight; Robert D Kerns
Journal:  Transl Behav Med       Date:  2011-12       Impact factor: 3.046

2.  Detecting adverse events in surgery: comparing events detected by the Veterans Health Administration Surgical Quality Improvement Program and the Patient Safety Indicators.

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

3.  Predictors of Short-Term Readmission After Pancreaticoduodenectomy.

Authors:  Rajesh Ramanathan; Travis Mason; Luke G Wolfe; Brian J Kaplan
Journal:  J Gastrointest Surg       Date:  2018-02-05       Impact factor: 3.452

Review 4.  [The validity of routine data on quality assurance: A qualitative systematic review].

Authors:  E Hanisch; T F Weigel; A Buia; H-P Bruch
Journal:  Chirurg       Date:  2016-01       Impact factor: 0.955

5.  A comparison of two structured taxonomic strategies in capturing adverse events in U.S. hospitals.

Authors:  John M Austin; Erin M Kirley; Michael A Rosen; Bradford D Winters
Journal:  Health Serv Res       Date:  2018-11-25       Impact factor: 3.402

6.  Using estimated true safety event rates versus flagged safety event rates: does it change hospital profiling and payment?

Authors:  Amy K Rosen; Qi Chen; Ann M Borzecki; Marlena Shin; Kamal M F Itani; Michael Shwartz
Journal:  Health Serv Res       Date:  2014-04-30       Impact factor: 3.402

7.  Navigating a ship with a broken compass: evaluating standard algorithms to measure patient safety.

Authors:  Jennifer L Hefner; Timothy R Huerta; Ann Scheck McAlearney; Barbara Barash; Tina Latimer; Susan D Moffatt-Bruce
Journal:  J Am Med Inform Assoc       Date:  2017-03-01       Impact factor: 4.497

8.  Association of Postoperative Readmissions With Surgical Quality Using a Delphi Consensus Process to Identify Relevant Diagnosis Codes.

Authors:  Hillary J Mull; Laura A Graham; Melanie S Morris; Amy K Rosen; Joshua S Richman; Jeffery Whittle; Edith Burns; Todd H Wagner; Laurel A Copeland; Tyler Wahl; Caroline Jones; Robert H Hollis; Kamal M F Itani; Mary T Hawn
Journal:  JAMA Surg       Date:  2018-08-01       Impact factor: 14.766

9.  Differences in quality of care among non-safety-net, safety-net, and children's hospitals.

Authors:  Linda Dynan; Anthony Goudie; Richard B Smith; Gerry Fairbrother; Lisa A Simpson
Journal:  Pediatrics       Date:  2013-01-06       Impact factor: 7.124

10.  Impact of including readmissions for qualifying events in the patient safety indicators.

Authors:  Sheryl M Davies; Olga Saynina; Laurence C Baker; Kathryn M McDonald
Journal:  Am J Med Qual       Date:  2014-01-24       Impact factor: 1.852

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