2020
DOI: 10.1002/cam4.2812
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Developing a cancer‐specific trigger tool to identify treatment‐related adverse events using administrative data

Abstract: 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 proced… Show more

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Cited by 11 publications
(11 citation statements)
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References 33 publications
(73 reference statements)
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“…We also confirmed three risk factors which were the length of stay, age, and sex. These three risk factors were proved in previous studies ( Nazer et al, 2014 ; Christin et al, 2017 ; Weingart et al, 2020 ). Previous researchers have proved that there is a strong correlation between the length of stay and the incidence of ADEs ( Classen et al, 2011 ; Sezgin et al, 2013 ).…”
Section: Discussionsupporting
confidence: 69%
“…We also confirmed three risk factors which were the length of stay, age, and sex. These three risk factors were proved in previous studies ( Nazer et al, 2014 ; Christin et al, 2017 ; Weingart et al, 2020 ). Previous researchers have proved that there is a strong correlation between the length of stay and the incidence of ADEs ( Classen et al, 2011 ; Sezgin et al, 2013 ).…”
Section: Discussionsupporting
confidence: 69%
“…In 2019, 21,500 calculations were made with 13,110 new patient files and around 181,000 visits to the website. There have also been numerous publications that have referenced the tools that make up this platform [31][32][33][34][35][36][37]. In the most recent reviews on this topic, LESS-CHRON is referenced as a powerful tool to be used amongst the chronic patient [34,35].…”
Section: Discussionmentioning
confidence: 99%
“…Other studies only assessed the performance of the method for AE detection (related to care or drugs) using PPVs in adult populations, 3,[6][7][8][9]14,15,[21][22][23][24][25][26][27] which included older people. 6,16,21 Positive predictive values ranged from 19% to 100% for falls 6,7,22 and from 9% to 37% 7,8 for delirium.…”
Section: Discussionmentioning
confidence: 99%