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Developing a cancer‐specific trigger tool to identify treatment‐related adverse events using administrative data

BACKGROUND: As there are few validated tools to identify treatment‐related adverse events across cancer care settings, we sought to develop oncology‐specific “triggers” to flag potential adverse events among cancer patients using claims data. METHODS: 322 887 adult patients undergoing an initial cou...

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Autores principales: Weingart, Saul N., Nelson, Jason, Koethe, Benjamin, Yaghi, Omar, Dunning, Stephan, Feldman, Albert, Kent, David M., Lipitz‐Snyderman, Allison
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013078/
https://www.ncbi.nlm.nih.gov/pubmed/31899856
http://dx.doi.org/10.1002/cam4.2812
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author Weingart, Saul N.
Nelson, Jason
Koethe, Benjamin
Yaghi, Omar
Dunning, Stephan
Feldman, Albert
Kent, David M.
Lipitz‐Snyderman, Allison
author_facet Weingart, Saul N.
Nelson, Jason
Koethe, Benjamin
Yaghi, Omar
Dunning, Stephan
Feldman, Albert
Kent, David M.
Lipitz‐Snyderman, Allison
author_sort Weingart, Saul N.
collection PubMed
description BACKGROUND: As there are few validated tools to identify treatment‐related adverse events across cancer care settings, we sought to develop oncology‐specific “triggers” to flag potential adverse events among cancer patients using claims data. METHODS: 322 887 adult patients undergoing an initial course of cancer‐directed therapy for breast, colorectal, lung, or prostate cancer from 2008 to 2014 were drawn from a large commercial claims database. We defined 16 oncology‐specific triggers using diagnosis and procedure codes. To distinguish treatment‐related complications from comorbidities, we required a logical and temporal relationship between a treatment and the associated trigger. We tabulated the prevalence of triggers by cancer type and metastatic status during 1‐year of follow‐up, and examined cancer trigger risk factors. RESULTS: Cancer‐specific trigger events affected 19% of patients over the initial treatment year. The trigger burden varied by disease and metastatic status, from 6% of patients with nonmetastatic prostate cancer to 41% and 50% of those with metastatic colorectal and lung cancers, respectively. The most prevalent triggers were abnormal serum bicarbonate, blood transfusion, non‐contrast chest CT scan following radiation therapy, and hypoxemia. Among patients with metastatic disease, 10% had one trigger event and 29% had two or more. Triggers were more common among older patients, women, non‐whites, patients with low family incomes, and those without a college education. CONCLUSIONS: Oncology‐specific triggers offer a promising method for identifying potential patient safety events among patients across cancer care settings.
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spelling pubmed-70130782020-03-24 Developing a cancer‐specific trigger tool to identify treatment‐related adverse events using administrative data Weingart, Saul N. Nelson, Jason Koethe, Benjamin Yaghi, Omar Dunning, Stephan Feldman, Albert Kent, David M. Lipitz‐Snyderman, Allison Cancer Med Clinical Cancer Research BACKGROUND: As there are few validated tools to identify treatment‐related adverse events across cancer care settings, we sought to develop oncology‐specific “triggers” to flag potential adverse events among cancer patients using claims data. METHODS: 322 887 adult patients undergoing an initial course of cancer‐directed therapy for breast, colorectal, lung, or prostate cancer from 2008 to 2014 were drawn from a large commercial claims database. We defined 16 oncology‐specific triggers using diagnosis and procedure codes. To distinguish treatment‐related complications from comorbidities, we required a logical and temporal relationship between a treatment and the associated trigger. We tabulated the prevalence of triggers by cancer type and metastatic status during 1‐year of follow‐up, and examined cancer trigger risk factors. RESULTS: Cancer‐specific trigger events affected 19% of patients over the initial treatment year. The trigger burden varied by disease and metastatic status, from 6% of patients with nonmetastatic prostate cancer to 41% and 50% of those with metastatic colorectal and lung cancers, respectively. The most prevalent triggers were abnormal serum bicarbonate, blood transfusion, non‐contrast chest CT scan following radiation therapy, and hypoxemia. Among patients with metastatic disease, 10% had one trigger event and 29% had two or more. Triggers were more common among older patients, women, non‐whites, patients with low family incomes, and those without a college education. CONCLUSIONS: Oncology‐specific triggers offer a promising method for identifying potential patient safety events among patients across cancer care settings. John Wiley and Sons Inc. 2020-01-03 /pmc/articles/PMC7013078/ /pubmed/31899856 http://dx.doi.org/10.1002/cam4.2812 Text en © 2020 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Cancer Research
Weingart, Saul N.
Nelson, Jason
Koethe, Benjamin
Yaghi, Omar
Dunning, Stephan
Feldman, Albert
Kent, David M.
Lipitz‐Snyderman, Allison
Developing a cancer‐specific trigger tool to identify treatment‐related adverse events using administrative data
title Developing a cancer‐specific trigger tool to identify treatment‐related adverse events using administrative data
title_full Developing a cancer‐specific trigger tool to identify treatment‐related adverse events using administrative data
title_fullStr Developing a cancer‐specific trigger tool to identify treatment‐related adverse events using administrative data
title_full_unstemmed Developing a cancer‐specific trigger tool to identify treatment‐related adverse events using administrative data
title_short Developing a cancer‐specific trigger tool to identify treatment‐related adverse events using administrative data
title_sort developing a cancer‐specific trigger tool to identify treatment‐related adverse events using administrative data
topic Clinical Cancer Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013078/
https://www.ncbi.nlm.nih.gov/pubmed/31899856
http://dx.doi.org/10.1002/cam4.2812
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