Literature DB >> 19786907

How valid is the ICD-9-CM based AHRQ patient safety indicator for postoperative venous thromboembolism?

Richard H White1, Banafsheh Sadeghi, Daniel J Tancredi, Patricia Zrelak, Joanne Cuny, Pradeep Sama, Garth H Utter, Jeffrey J Geppert, Patrick S Romano.   

Abstract

BACKGROUND: Hospital administrative data are being used to identify patients with postoperative venous thromboembolism (VTE), either pulmonary embolism (PE) or deep-vein thrombosis (DVT). However, few studies have evaluated the accuracy of these ICD-9-CM codes across multiple hospitals. METHODS AND MATERIALS: The Agency for Healthcare Research and Quality (AHRQ) Patient Safety Indicator (PSI)-12 was used to identify cases with postoperative VTE in 80 hospitals that volunteered for either an AHRQ or University HealthSystem Consortium (UHC) validation project. Trained abstractors using a standardized tool and guidelines retrospectively verified all coded VTE events.
RESULTS: In the combined samples, the positive predictive value of the set of prespecified VTE codes for any acute VTE at any time during the hospitalization was 451 of 573 = 79% (95% CI: 75%-82%). However, the positive predictive value for acute lower extremity DVT or PE diagnosed after an operation was 209 of 452 = 44% (95% CI: 37%-51%) in the UHC sample and 58 of 121 = 48% (95% CI: 42-67%) in the AHRQ sample. Fourteen percent of all cases had an acute upper extremity DVT, 6% had superficial vein thrombosis and 21% had no acute VTE, however, 61% of the latter had a documented prior/chronic VTE. In the UHC cohort, the sensitivity for any acute VTE was 95.5% (95% CI: 86.4%-100%); the specificity was 99.5% (95% CI: 99.4%-99.7%).
CONCLUSION: Current PSI 12 criteria do not accurately identify patients with acute postoperative lower extremity DVT or PE. Modification of the ICD-9-CM codes and implementation of "present on admission" flags should improve the predictive value for clinically important VTE events.

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Year:  2009        PMID: 19786907     DOI: 10.1097/MLR.0b013e3181b58940

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


  22 in total

1.  Using multiple sources of data for surveillance of postoperative venous thromboembolism among surgical patients treated in Department of Veterans Affairs hospitals, 2005-2010.

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

2.  Estimating the hospital costs of inpatient harms.

Authors:  Priyanka Anand; Keith Kranker; Arnold Y Chen
Journal:  Health Serv Res       Date:  2018-10-11       Impact factor: 3.402

3.  Validity of Using Inpatient and Outpatient Administrative Codes to Identify Acute Venous Thromboembolism: The CVRN VTE Study.

Authors:  Margaret C Fang; Dongjie Fan; Sue Hee Sung; Daniel M Witt; John R Schmelzer; Steven R Steinhubl; Steven H Yale; Alan S Go
Journal:  Med Care       Date:  2017-12       Impact factor: 2.983

4.  The transition to ICD-10-CM: challenges for pediatric practice.

Authors:  Rachel Caskey; Jeffrey Zaman; Hannah Nam; Sae-Rom Chae; Lauren Williams; Gina Mathew; Michael Burton; Jiarong John Li; Yves A Lussier; Andrew D Boyd
Journal:  Pediatrics       Date:  2014-06-02       Impact factor: 7.124

5.  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

6.  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

Review 7.  Regulatory, legislative, and policy updates with anticoagulant use.

Authors:  John Fanikos; Leo F Buckley; Ahmed Aldemerdash; Kimberly J Terry; Gregory Piazza; Jean M Connors; Samuel Z Goldhaber
Journal:  J Thromb Thrombolysis       Date:  2015-04       Impact factor: 2.300

8.  Improved Identification of Venous Thromboembolism From Electronic Medical Records Using a Novel Information Extraction Software Platform.

Authors:  Raymund B Dantes; Shuai Zheng; James J Lu; Michele G Beckman; Asha Krishnaswamy; Lisa C Richardson; Sheri Chernetsky-Tejedor; Fusheng Wang
Journal:  Med Care       Date:  2018-09       Impact factor: 2.983

9.  The design and implementation of a new surveillance system for venous thromboembolism using combined active and passive methods.

Authors:  Aaron M Wendelboe; Janis Campbell; Micah McCumber; Dale Bratzler; Kai Ding; Michele Beckman; Nimia Reyes; Gary Raskob
Journal:  Am Heart J       Date:  2015-06-11       Impact factor: 4.749

10.  Patient safety in the era of the 80-hour workweek.

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

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