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.
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.
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
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
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
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
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
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