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Impact of a clinical decision support tool targeting QT-prolonging medications
PURPOSETo evaluate the impact of a newly implemented clinical decision support (CDS) tool targeting QT interval-prolonging medications on order verification and provider interventions. METHODSA multicenter, retrospective quasi-experimental study was conducted to evaluate provider response to CDS ale...
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Published in: | American journal of health-system pharmacy 2020-12, Vol.77 (Supplement_4), p.S111-S117 |
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container_end_page | S117 |
container_issue | Supplement_4 |
container_start_page | S111 |
container_title | American journal of health-system pharmacy |
container_volume | 77 |
creator | Chernoby, Katie Lucey, Michael F Hartner, Carrie L Dehoorne, Michelle Edwin, Stephanie B |
description | PURPOSETo evaluate the impact of a newly implemented clinical decision support (CDS) tool targeting QT interval-prolonging medications on order verification and provider interventions. METHODSA multicenter, retrospective quasi-experimental study was conducted to evaluate provider response to CDS alerts triggered during ordering of QT-prolonging medications for adult patients. The primary outcome was the proportion of orders triggering QTc alerts that were continued without intervention during a specified preimplementation phase (n = 49) and during a postimplementation phase (n = 100). Patient risk factors for QTc prolongation, provider alert response, and interventions to reduce the risk of QTc-associated adverse events were evaluated. RESULTSThe rate of order continuation without intervention was 82% in the preimplementation phase and 37% in the postimplementation phase, representing an 55% reduction in continued verified orders following implementation of the QT-focused CDS tool. Most alerts were initially responded to by the prescriber, with pharmacist intervention needed in only 33% of cases. There were no significant differences in patient QTc-related risk factors between the 2 study groups (P = 0.11); the postimplementation group had a higher proportion of patients using at least 2 QTc-prolonging medications (48%, compared to 26% in the preimplementation group; P = 0.02). CONCLUSIONImplementation of the CDS tool was associated with a reduction in the proportion of orders continued without intervention in patients at high risk for QTc-related adverse events. |
doi_str_mv | 10.1093/ajhp/zxaa269 |
format | article |
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METHODSA multicenter, retrospective quasi-experimental study was conducted to evaluate provider response to CDS alerts triggered during ordering of QT-prolonging medications for adult patients. The primary outcome was the proportion of orders triggering QTc alerts that were continued without intervention during a specified preimplementation phase (n = 49) and during a postimplementation phase (n = 100). Patient risk factors for QTc prolongation, provider alert response, and interventions to reduce the risk of QTc-associated adverse events were evaluated. RESULTSThe rate of order continuation without intervention was 82% in the preimplementation phase and 37% in the postimplementation phase, representing an 55% reduction in continued verified orders following implementation of the QT-focused CDS tool. Most alerts were initially responded to by the prescriber, with pharmacist intervention needed in only 33% of cases. There were no significant differences in patient QTc-related risk factors between the 2 study groups (P = 0.11); the postimplementation group had a higher proportion of patients using at least 2 QTc-prolonging medications (48%, compared to 26% in the preimplementation group; P = 0.02). CONCLUSIONImplementation of the CDS tool was associated with a reduction in the proportion of orders continued without intervention in patients at high risk for QTc-related adverse events.</description><identifier>ISSN: 1079-2082</identifier><identifier>EISSN: 1535-2900</identifier><identifier>DOI: 10.1093/ajhp/zxaa269</identifier><language>eng</language><ispartof>American journal of health-system pharmacy, 2020-12, Vol.77 (Supplement_4), p.S111-S117</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c268t-60962c7b4fea03b9be29e0eb522f817f672bd3461d1c27fdbdec64f9b3452dfc3</citedby><cites>FETCH-LOGICAL-c268t-60962c7b4fea03b9be29e0eb522f817f672bd3461d1c27fdbdec64f9b3452dfc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Chernoby, Katie</creatorcontrib><creatorcontrib>Lucey, Michael F</creatorcontrib><creatorcontrib>Hartner, Carrie L</creatorcontrib><creatorcontrib>Dehoorne, Michelle</creatorcontrib><creatorcontrib>Edwin, Stephanie B</creatorcontrib><title>Impact of a clinical decision support tool targeting QT-prolonging medications</title><title>American journal of health-system pharmacy</title><description>PURPOSETo evaluate the impact of a newly implemented clinical decision support (CDS) tool targeting QT interval-prolonging medications on order verification and provider interventions. METHODSA multicenter, retrospective quasi-experimental study was conducted to evaluate provider response to CDS alerts triggered during ordering of QT-prolonging medications for adult patients. The primary outcome was the proportion of orders triggering QTc alerts that were continued without intervention during a specified preimplementation phase (n = 49) and during a postimplementation phase (n = 100). Patient risk factors for QTc prolongation, provider alert response, and interventions to reduce the risk of QTc-associated adverse events were evaluated. RESULTSThe rate of order continuation without intervention was 82% in the preimplementation phase and 37% in the postimplementation phase, representing an 55% reduction in continued verified orders following implementation of the QT-focused CDS tool. Most alerts were initially responded to by the prescriber, with pharmacist intervention needed in only 33% of cases. There were no significant differences in patient QTc-related risk factors between the 2 study groups (P = 0.11); the postimplementation group had a higher proportion of patients using at least 2 QTc-prolonging medications (48%, compared to 26% in the preimplementation group; P = 0.02). 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METHODSA multicenter, retrospective quasi-experimental study was conducted to evaluate provider response to CDS alerts triggered during ordering of QT-prolonging medications for adult patients. The primary outcome was the proportion of orders triggering QTc alerts that were continued without intervention during a specified preimplementation phase (n = 49) and during a postimplementation phase (n = 100). Patient risk factors for QTc prolongation, provider alert response, and interventions to reduce the risk of QTc-associated adverse events were evaluated. RESULTSThe rate of order continuation without intervention was 82% in the preimplementation phase and 37% in the postimplementation phase, representing an 55% reduction in continued verified orders following implementation of the QT-focused CDS tool. Most alerts were initially responded to by the prescriber, with pharmacist intervention needed in only 33% of cases. There were no significant differences in patient QTc-related risk factors between the 2 study groups (P = 0.11); the postimplementation group had a higher proportion of patients using at least 2 QTc-prolonging medications (48%, compared to 26% in the preimplementation group; P = 0.02). CONCLUSIONImplementation of the CDS tool was associated with a reduction in the proportion of orders continued without intervention in patients at high risk for QTc-related adverse events.</abstract><doi>10.1093/ajhp/zxaa269</doi></addata></record> |
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title | Impact of a clinical decision support tool targeting QT-prolonging medications |
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