System dynamics to model the unintended consequences of denying payment for venous thromboembolism after total knee arthroplasty.

<h4>Background</h4>The Hospital Acquired Condition Strategy (HACS) denies payment for venous thromboembolism (VTE) after total knee arthroplasty (TKA). The intention is to reduce complications and associated costs, while improving the quality of care by mandating VTE prophylaxis. We appl...

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Main Authors: Mathias Worni, Ricardo Pietrobon, Guilherme Roberto Zammar, Jatin Shah, Bryan Yoo, Mauro Maldonato, Steven Takemoto, Thomas P Vail
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22536313/?tool=EBI
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spelling doaj-4236bedff1c3434da9b5f41b4116718f2021-03-04T00:50:44ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-0174e3057810.1371/journal.pone.0030578System dynamics to model the unintended consequences of denying payment for venous thromboembolism after total knee arthroplasty.Mathias WorniRicardo PietrobonGuilherme Roberto ZammarJatin ShahBryan YooMauro MaldonatoSteven TakemotoThomas P Vail<h4>Background</h4>The Hospital Acquired Condition Strategy (HACS) denies payment for venous thromboembolism (VTE) after total knee arthroplasty (TKA). The intention is to reduce complications and associated costs, while improving the quality of care by mandating VTE prophylaxis. We applied a system dynamics model to estimate the impact of HACS on VTE rates, and potential unintended consequences such as increased rates of bleeding and infection and decreased access for patients who might benefit from TKA.<h4>Methods and findings</h4>The system dynamics model uses a series of patient stocks including the number needing TKA, deemed ineligible, receiving TKA, and harmed due to surgical complication. The flow of patients between stocks is determined by a series of causal elements such as rates of exclusion, surgery and complications. The number of patients harmed due to VTE, bleeding or exclusion were modeled by year by comparing patient stocks that results in scenarios with and without HACS. The percentage of TKA patients experiencing VTE decreased approximately 3-fold with HACS. This decrease in VTE was offset by an increased rate of bleeding and infection. Moreover, results from the model suggest HACS could exclude 1.5% or half a million patients who might benefit from knee replacement through 2020.<h4>Conclusion</h4>System dynamics modeling indicates HACS will have the intended consequence of reducing VTE rates. However, an unintended consequence of the policy might be increased potential harm resulting from over administration of prophylaxis, as well as exclusion of a large population of patients who might benefit from TKA.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22536313/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Mathias Worni
Ricardo Pietrobon
Guilherme Roberto Zammar
Jatin Shah
Bryan Yoo
Mauro Maldonato
Steven Takemoto
Thomas P Vail
spellingShingle Mathias Worni
Ricardo Pietrobon
Guilherme Roberto Zammar
Jatin Shah
Bryan Yoo
Mauro Maldonato
Steven Takemoto
Thomas P Vail
System dynamics to model the unintended consequences of denying payment for venous thromboembolism after total knee arthroplasty.
PLoS ONE
author_facet Mathias Worni
Ricardo Pietrobon
Guilherme Roberto Zammar
Jatin Shah
Bryan Yoo
Mauro Maldonato
Steven Takemoto
Thomas P Vail
author_sort Mathias Worni
title System dynamics to model the unintended consequences of denying payment for venous thromboembolism after total knee arthroplasty.
title_short System dynamics to model the unintended consequences of denying payment for venous thromboembolism after total knee arthroplasty.
title_full System dynamics to model the unintended consequences of denying payment for venous thromboembolism after total knee arthroplasty.
title_fullStr System dynamics to model the unintended consequences of denying payment for venous thromboembolism after total knee arthroplasty.
title_full_unstemmed System dynamics to model the unintended consequences of denying payment for venous thromboembolism after total knee arthroplasty.
title_sort system dynamics to model the unintended consequences of denying payment for venous thromboembolism after total knee arthroplasty.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2012-01-01
description <h4>Background</h4>The Hospital Acquired Condition Strategy (HACS) denies payment for venous thromboembolism (VTE) after total knee arthroplasty (TKA). The intention is to reduce complications and associated costs, while improving the quality of care by mandating VTE prophylaxis. We applied a system dynamics model to estimate the impact of HACS on VTE rates, and potential unintended consequences such as increased rates of bleeding and infection and decreased access for patients who might benefit from TKA.<h4>Methods and findings</h4>The system dynamics model uses a series of patient stocks including the number needing TKA, deemed ineligible, receiving TKA, and harmed due to surgical complication. The flow of patients between stocks is determined by a series of causal elements such as rates of exclusion, surgery and complications. The number of patients harmed due to VTE, bleeding or exclusion were modeled by year by comparing patient stocks that results in scenarios with and without HACS. The percentage of TKA patients experiencing VTE decreased approximately 3-fold with HACS. This decrease in VTE was offset by an increased rate of bleeding and infection. Moreover, results from the model suggest HACS could exclude 1.5% or half a million patients who might benefit from knee replacement through 2020.<h4>Conclusion</h4>System dynamics modeling indicates HACS will have the intended consequence of reducing VTE rates. However, an unintended consequence of the policy might be increased potential harm resulting from over administration of prophylaxis, as well as exclusion of a large population of patients who might benefit from TKA.
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22536313/?tool=EBI
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