Literature DB >> 23552437

Predictive value of the present-on-admission indicator for hospital-acquired venous thromboembolism.

Raman R Khanna1, Sharon B Kim, Ian Jenkins, Robert El-Kareh, Nasim Afsarmanesh, Alpesh Amin, Heather Sand, Andrew Auerbach, Catherine Y Chia, Gregory Maynard, Patrick S Romano, Richard H White.   

Abstract

BACKGROUND: Hospital-acquired venous thromboembolic (HA-VTE) events are an important, preventable cause of morbidity and death, but accurately identifying HA-VTE events requires labor-intensive chart review. Administrative diagnosis codes and their associated "present-on-admission" (POA) indicator might allow automated identification of HA-VTE events, but only if VTE codes are accurately flagged "not present-on-admission" (POA=N). New codes were introduced in 2009 to improve accuracy.
METHODS: We identified all medical patients with at least 1 VTE "other" discharge diagnosis code from 5 academic medical centers over a 24-month period. We then sampled, within each center, patients with VTE codes flagged POA=N or POA=U (insufficient documentation) and POA=Y or POA=W (timing clinically uncertain) and abstracted each chart to clarify VTE timing. All events that were not clearly POA were classified as HA-VTE. We then calculated predictive values of the POA=N/U flags for HA-VTE and the POA=Y/W flags for non-HA-VTE.
RESULTS: Among 2070 cases with at least 1 "other" VTE code, we found 339 codes flagged POA=N/U and 1941 flagged POA=Y/W. Among 275 POA=N/U abstracted codes, 75.6% (95% CI, 70.1%-80.6%) were HA-VTE; among 291 POA=Y/W abstracted events, 73.5% (95% CI, 68.0%-78.5%) were non-HA-VTE. Extrapolating from this sample, we estimated that 59% of actual HA-VTE codes were incorrectly flagged POA=Y/W. POA indicator predictive values did not improve after new codes were introduced in 2009.
CONCLUSIONS: The predictive value of VTE events flagged POA=N/U for HA-VTE was 75%. However, sole reliance on this flag may substantially underestimate the incidence of HA-VTE.

Entities:  

Mesh:

Year:  2015        PMID: 23552437     DOI: 10.1097/MLR.0b013e318286e34f

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


  11 in total

1.  Aspirin Compared with Anticoagulation to Prevent Venous Thromboembolism After Knee or Hip Arthroplasty: a Large Retrospective Cohort Study.

Authors:  Christine Baumgartner; Judith Maselli; Andrew D Auerbach; Margaret C Fang
Journal:  J Gen Intern Med       Date:  2019-06-24       Impact factor: 5.128

2.  The risk of venous thromboembolism with aspirin compared to anticoagulants after hip and knee arthroplasty.

Authors:  Janet N Chu; Judith Maselli; Andrew D Auerbach; Margaret C Fang
Journal:  Thromb Res       Date:  2017-04-12       Impact factor: 3.944

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.  Venous Thromboembolism Rates in Transferred Patients: A Cross-Sectional Study.

Authors:  Samuel Lai; Eric Ton; Marianne Lovejoy; William Graham; Alpesh Amin
Journal:  J Gen Intern Med       Date:  2017-09-15       Impact factor: 5.128

5.  Predictive value of the present-on-admission indicator for hospital-associated hemorrhage.

Authors:  Roxanne Ghazvinian; Richard H White; Brian F Gage; Margaret C Fang; Rabia Saeed; Raman R Khanna
Journal:  Thromb Res       Date:  2019-05-22       Impact factor: 3.944

6.  Use of present-on-admission indicators for complications after total knee arthroplasty: an analysis of Medicare administrative data.

Authors:  Peter Cram; Kevin J Bozic; John J Callaghan; Xin Lu; Yue Li
Journal:  J Arthroplasty       Date:  2013-11-08       Impact factor: 4.757

7.  Venous Thromboembolism (VTE) Incidence and VTE-Associated Survival among Olmsted County Residents of Local Nursing Homes.

Authors:  Tanya M Petterson; Carin Y Smith; Jane A Emerson; Kent R Bailey; Aneel A Ashrani; John A Heit; Cynthia L Leibson
Journal:  Thromb Haemost       Date:  2018-07-02       Impact factor: 5.249

8.  Use of Statewide Administrative Data to Assess Clinical Outcomes: A Retrospective Cohort Study of Therapeutic Anticoagulation for Isolated Calf Vein Thrombosis.

Authors:  Garth H Utter; Tejveer S Dhillon; Beate H Danielsen; Edgardo S Salcedo; Daniel J Shouldice; Misty D Humphries; Richard H White
Journal:  Med Care       Date:  2020-07       Impact factor: 3.178

9.  Comparative Effectiveness of New Approaches to Improve Mortality Risk Models From Medicare Claims Data.

Authors:  Harlan M Krumholz; Andreas C Coppi; Frederick Warner; Elizabeth W Triche; Shu-Xia Li; Shiwani Mahajan; Yixin Li; Susannah M Bernheim; Jacqueline Grady; Karen Dorsey; Zhenqiu Lin; Sharon-Lise T Normand
Journal:  JAMA Netw Open       Date:  2019-07-03

10.  Association of Hospital Payment Profiles With Variation in 30-Day Medicare Cost for Inpatients With Heart Failure or Pneumonia.

Authors:  Harlan M Krumholz; Yongfei Wang; Kun Wang; Zhenqiu Lin; Susannah M Bernheim; Xiao Xu; Nihar R Desai; Sharon-Lise T Normand
Journal:  JAMA Netw Open       Date:  2019-11-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.