An Evaluation of Drug-Drug Interaction Alerts Produced by Clinical Decision Support Systems in a Tertiary Hospital
IntroductionDrug-drug interactions (DDIs) have the potential to harm patients. Hence, DDI alerts are meant to prevent harm; as a result, their usefulness is reduced when most alerts displayed to providers are ignored. This study aims to explore the rates and reasons for overriding alerts of DDI.Meth...
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Veröffentlicht in: | Curēus (Palo Alto, CA) CA), 2023-08, Vol.15 (8), p.e43141-e43141 |
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description | IntroductionDrug-drug interactions (DDIs) have the potential to harm patients. Hence, DDI alerts are meant to prevent harm; as a result, their usefulness is reduced when most alerts displayed to providers are ignored. This study aims to explore the rates and reasons for overriding alerts of DDI.MethodsThis is a retrospective study of DDI alert overrides that occurred between January 2020 and December 2020 within the inpatient medical records at a tertiary hospital, Medina City, Kingdom of Saudi Arabia.ResultsA total of 7,098 DDI alerts were generated from inpatient settings, of which 6,551(92.2%) were overridden by the physicians at the point of prescribing. “Will Monitor as Recommended” (33%) was the most common reason for the override, followed by ‘Will Adjust the Dose as Recommended (27.1%),” “The Patient Has Already Tolerated the Combination” (25.7%), and “No Overridden Reason Selected” (13.0%).DiscussionThe DDI alert overriding is still high and is comparable to other studies. However, this study reveals that physicians are ready to deal with the consequences of around 58% of DDI alerts. Additionally, 13% of physicians were not willing to report the reason for overriding. This indicates an urgent need to review and restructure the DDI alert system.ConclusionThe DDI alert override rates are high, and this is undesirable. It is recommended to revise the DDI alert system. Future studies should dig deep for real reasons for overriding and seek inputs from all stakeholders, including developing actionable metrics to track and monitor DDI alerting system. |
doi_str_mv | 10.7759/cureus.43141 |
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fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10484150</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2870660080</sourcerecordid><originalsourceid>FETCH-LOGICAL-c320t-9a4e1589681211ea455154347c054c265fb83ff1c034e624bab2f5e2b00d02e33</originalsourceid><addsrcrecordid>eNpdkctqHDEQRZuQQIzjXT5A4I0Xaaf06taszDB-giEBO2uh1lTbMhqprYdh_t49HmOSbKoK6tTlFrdpvlM47Xu5-GlrwppPBaeCfmoOGO1Uq6gSn_-avzZHOT8BAIWeQQ8HTVoGcvFifDXFxUDiSM5TfWh3hdyEgsnYt8XSYyqZ_E5xXS2uybAlK--Cs8aTc7Qu76C7Ok0xFXK3zQU3mbhADLmfD51JW3Id8-SK8d-aL6PxGY_e-2Hz5_LifnXd3v66ulktb1vLGZR2YQRSqRadooxSNEJKKgUXvQUpLOvkOCg-jtQCF9gxMZiBjRLZALAGhpwfNmd73akOG1xbDCUZr6fkNrMdHY3T_26Ce9QP8UVTEEpQCbPCybtCis8Vc9Ebly16bwLGmjVTHe-7GaUzevwf-hRrCvN_M9VD1wGoneCPPWVTzDnh-OGGgt6lqPcp6rcU-StoAJGi</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2870660080</pqid></control><display><type>article</type><title>An Evaluation of Drug-Drug Interaction Alerts Produced by Clinical Decision Support Systems in a Tertiary Hospital</title><source>PubMed Central Open Access</source><source>PubMed Central</source><creator>Alanazi, Abdullah ; alalawi, Wejdan ; Aldosari, Bakheet</creator><creatorcontrib>Alanazi, Abdullah ; alalawi, Wejdan ; Aldosari, Bakheet</creatorcontrib><description>IntroductionDrug-drug interactions (DDIs) have the potential to harm patients. Hence, DDI alerts are meant to prevent harm; as a result, their usefulness is reduced when most alerts displayed to providers are ignored. This study aims to explore the rates and reasons for overriding alerts of DDI.MethodsThis is a retrospective study of DDI alert overrides that occurred between January 2020 and December 2020 within the inpatient medical records at a tertiary hospital, Medina City, Kingdom of Saudi Arabia.ResultsA total of 7,098 DDI alerts were generated from inpatient settings, of which 6,551(92.2%) were overridden by the physicians at the point of prescribing. “Will Monitor as Recommended” (33%) was the most common reason for the override, followed by ‘Will Adjust the Dose as Recommended (27.1%),” “The Patient Has Already Tolerated the Combination” (25.7%), and “No Overridden Reason Selected” (13.0%).DiscussionThe DDI alert overriding is still high and is comparable to other studies. However, this study reveals that physicians are ready to deal with the consequences of around 58% of DDI alerts. Additionally, 13% of physicians were not willing to report the reason for overriding. This indicates an urgent need to review and restructure the DDI alert system.ConclusionThe DDI alert override rates are high, and this is undesirable. It is recommended to revise the DDI alert system. Future studies should dig deep for real reasons for overriding and seek inputs from all stakeholders, including developing actionable metrics to track and monitor DDI alerting system.</description><identifier>ISSN: 2168-8184</identifier><identifier>EISSN: 2168-8184</identifier><identifier>DOI: 10.7759/cureus.43141</identifier><language>eng</language><publisher>Palo Alto: Cureus Inc</publisher><subject>Clinical decision making ; Decision support systems ; Drug dosages ; Drug interactions ; Healthcare Technology ; Hospitals ; Medical errors ; Order entry ; Other ; Patient safety ; Pharmacists ; Physicians ; Quality Improvement</subject><ispartof>Curēus (Palo Alto, CA), 2023-08, Vol.15 (8), p.e43141-e43141</ispartof><rights>Copyright © 2023, Alanazi et al. This work is published under https://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Copyright © 2023, Alanazi et al. 2023 Alanazi et al.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c320t-9a4e1589681211ea455154347c054c265fb83ff1c034e624bab2f5e2b00d02e33</citedby><cites>FETCH-LOGICAL-c320t-9a4e1589681211ea455154347c054c265fb83ff1c034e624bab2f5e2b00d02e33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484150/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484150/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids></links><search><creatorcontrib>Alanazi, Abdullah</creatorcontrib><creatorcontrib>alalawi, Wejdan</creatorcontrib><creatorcontrib>Aldosari, Bakheet</creatorcontrib><title>An Evaluation of Drug-Drug Interaction Alerts Produced by Clinical Decision Support Systems in a Tertiary Hospital</title><title>Curēus (Palo Alto, CA)</title><description>IntroductionDrug-drug interactions (DDIs) have the potential to harm patients. Hence, DDI alerts are meant to prevent harm; as a result, their usefulness is reduced when most alerts displayed to providers are ignored. This study aims to explore the rates and reasons for overriding alerts of DDI.MethodsThis is a retrospective study of DDI alert overrides that occurred between January 2020 and December 2020 within the inpatient medical records at a tertiary hospital, Medina City, Kingdom of Saudi Arabia.ResultsA total of 7,098 DDI alerts were generated from inpatient settings, of which 6,551(92.2%) were overridden by the physicians at the point of prescribing. “Will Monitor as Recommended” (33%) was the most common reason for the override, followed by ‘Will Adjust the Dose as Recommended (27.1%),” “The Patient Has Already Tolerated the Combination” (25.7%), and “No Overridden Reason Selected” (13.0%).DiscussionThe DDI alert overriding is still high and is comparable to other studies. However, this study reveals that physicians are ready to deal with the consequences of around 58% of DDI alerts. Additionally, 13% of physicians were not willing to report the reason for overriding. This indicates an urgent need to review and restructure the DDI alert system.ConclusionThe DDI alert override rates are high, and this is undesirable. It is recommended to revise the DDI alert system. Future studies should dig deep for real reasons for overriding and seek inputs from all stakeholders, including developing actionable metrics to track and monitor DDI alerting system.</description><subject>Clinical decision making</subject><subject>Decision support systems</subject><subject>Drug dosages</subject><subject>Drug interactions</subject><subject>Healthcare Technology</subject><subject>Hospitals</subject><subject>Medical errors</subject><subject>Order entry</subject><subject>Other</subject><subject>Patient safety</subject><subject>Pharmacists</subject><subject>Physicians</subject><subject>Quality Improvement</subject><issn>2168-8184</issn><issn>2168-8184</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkctqHDEQRZuQQIzjXT5A4I0Xaaf06taszDB-giEBO2uh1lTbMhqprYdh_t49HmOSbKoK6tTlFrdpvlM47Xu5-GlrwppPBaeCfmoOGO1Uq6gSn_-avzZHOT8BAIWeQQ8HTVoGcvFifDXFxUDiSM5TfWh3hdyEgsnYt8XSYyqZ_E5xXS2uybAlK--Cs8aTc7Qu76C7Ok0xFXK3zQU3mbhADLmfD51JW3Id8-SK8d-aL6PxGY_e-2Hz5_LifnXd3v66ulktb1vLGZR2YQRSqRadooxSNEJKKgUXvQUpLOvkOCg-jtQCF9gxMZiBjRLZALAGhpwfNmd73akOG1xbDCUZr6fkNrMdHY3T_26Ce9QP8UVTEEpQCbPCybtCis8Vc9Ebly16bwLGmjVTHe-7GaUzevwf-hRrCvN_M9VD1wGoneCPPWVTzDnh-OGGgt6lqPcp6rcU-StoAJGi</recordid><startdate>20230808</startdate><enddate>20230808</enddate><creator>Alanazi, Abdullah</creator><creator>alalawi, Wejdan</creator><creator>Aldosari, Bakheet</creator><general>Cureus Inc</general><general>Cureus</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20230808</creationdate><title>An Evaluation of Drug-Drug Interaction Alerts Produced by Clinical Decision Support Systems in a Tertiary Hospital</title><author>Alanazi, Abdullah ; alalawi, Wejdan ; Aldosari, Bakheet</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c320t-9a4e1589681211ea455154347c054c265fb83ff1c034e624bab2f5e2b00d02e33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Clinical decision making</topic><topic>Decision support systems</topic><topic>Drug dosages</topic><topic>Drug interactions</topic><topic>Healthcare Technology</topic><topic>Hospitals</topic><topic>Medical errors</topic><topic>Order entry</topic><topic>Other</topic><topic>Patient safety</topic><topic>Pharmacists</topic><topic>Physicians</topic><topic>Quality Improvement</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Alanazi, Abdullah</creatorcontrib><creatorcontrib>alalawi, Wejdan</creatorcontrib><creatorcontrib>Aldosari, Bakheet</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Curēus (Palo Alto, CA)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Alanazi, Abdullah</au><au>alalawi, Wejdan</au><au>Aldosari, Bakheet</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Evaluation of Drug-Drug Interaction Alerts Produced by Clinical Decision Support Systems in a Tertiary Hospital</atitle><jtitle>Curēus (Palo Alto, CA)</jtitle><date>2023-08-08</date><risdate>2023</risdate><volume>15</volume><issue>8</issue><spage>e43141</spage><epage>e43141</epage><pages>e43141-e43141</pages><issn>2168-8184</issn><eissn>2168-8184</eissn><abstract>IntroductionDrug-drug interactions (DDIs) have the potential to harm patients. Hence, DDI alerts are meant to prevent harm; as a result, their usefulness is reduced when most alerts displayed to providers are ignored. This study aims to explore the rates and reasons for overriding alerts of DDI.MethodsThis is a retrospective study of DDI alert overrides that occurred between January 2020 and December 2020 within the inpatient medical records at a tertiary hospital, Medina City, Kingdom of Saudi Arabia.ResultsA total of 7,098 DDI alerts were generated from inpatient settings, of which 6,551(92.2%) were overridden by the physicians at the point of prescribing. “Will Monitor as Recommended” (33%) was the most common reason for the override, followed by ‘Will Adjust the Dose as Recommended (27.1%),” “The Patient Has Already Tolerated the Combination” (25.7%), and “No Overridden Reason Selected” (13.0%).DiscussionThe DDI alert overriding is still high and is comparable to other studies. However, this study reveals that physicians are ready to deal with the consequences of around 58% of DDI alerts. Additionally, 13% of physicians were not willing to report the reason for overriding. This indicates an urgent need to review and restructure the DDI alert system.ConclusionThe DDI alert override rates are high, and this is undesirable. It is recommended to revise the DDI alert system. Future studies should dig deep for real reasons for overriding and seek inputs from all stakeholders, including developing actionable metrics to track and monitor DDI alerting system.</abstract><cop>Palo Alto</cop><pub>Cureus Inc</pub><doi>10.7759/cureus.43141</doi><oa>free_for_read</oa></addata></record> |
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subjects | Clinical decision making Decision support systems Drug dosages Drug interactions Healthcare Technology Hospitals Medical errors Order entry Other Patient safety Pharmacists Physicians Quality Improvement |
title | An Evaluation of Drug-Drug Interaction Alerts Produced by Clinical Decision Support Systems in a Tertiary Hospital |
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