1064-P: Order Set Design and "Nudges" to Change Care in Diabetes-Towards a Novel Pragmatic Clinical Trial Design
Introduction and Objective: When there are multiple reasonable treatment approaches, electronic health record (EHR) design can 'nudge' providers to choose one: for example, a default drug selected on an order set may be more likely to be used. Our group has proposed use of such nudges in a...
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Veröffentlicht in: | Diabetes (New York, N.Y.) N.Y.), 2024-06, Vol.73, p.1 |
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container_title | Diabetes (New York, N.Y.) |
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creator | Flory, James Ancker, Jessica Kim, Scott Y Vickers, Andrew Austria, Mia Martirosova, Helen Diaz, Ruben Hiestand, Amy Kuperman, Gilad |
description | Introduction and Objective: When there are multiple reasonable treatment approaches, electronic health record (EHR) design can 'nudge' providers to choose one: for example, a default drug selected on an order set may be more likely to be used. Our group has proposed use of such nudges in a pragmatic trial design called a Decision Architecture Randomization Trial (DART). Methods: Retrospective analysis of how 3 modifications to an inpatient electronic health record 'nudged' prescribing practices: 1) introduction of an order set to facilitate use of nutritional + correction insulin (as opposed to sliding scale); 2) phased rollout of an order set change to encourage long-acting insulin use by adding a radio button to facilitate ordering; and 3) introduction of default diabetes orders pre-checked in order sets for patients undergoing colorectal surgery. Results: The first nudge increased use of nutrition-correction insulin; the second nudge actually decreased rates of long-acting insulin use; and the third nudge increased glucose monitoring and insulin use for surgery patients (Figure). Conclusion: EHR design offers opportunities to improve care and power innovative randomized trials. These findings support the feasibility of the DART clinical trial design, but research plans should take into account the potential for unpredictable nudge effects. |
doi_str_mv | 10.2337/db24-1064-P |
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Our group has proposed use of such nudges in a pragmatic trial design called a Decision Architecture Randomization Trial (DART). Methods: Retrospective analysis of how 3 modifications to an inpatient electronic health record 'nudged' prescribing practices: 1) introduction of an order set to facilitate use of nutritional + correction insulin (as opposed to sliding scale); 2) phased rollout of an order set change to encourage long-acting insulin use by adding a radio button to facilitate ordering; and 3) introduction of default diabetes orders pre-checked in order sets for patients undergoing colorectal surgery. Results: The first nudge increased use of nutrition-correction insulin; the second nudge actually decreased rates of long-acting insulin use; and the third nudge increased glucose monitoring and insulin use for surgery patients (Figure). Conclusion: EHR design offers opportunities to improve care and power innovative randomized trials. These findings support the feasibility of the DART clinical trial design, but research plans should take into account the potential for unpredictable nudge effects.</description><identifier>ISSN: 0012-1797</identifier><identifier>EISSN: 1939-327X</identifier><identifier>DOI: 10.2337/db24-1064-P</identifier><language>eng</language><publisher>New York: American Diabetes Association</publisher><subject>Clinical trials ; Diabetes ; Diabetes mellitus ; Drug development ; Electronic health records ; Electronic medical records ; Glucose monitoring ; Insulin ; Patients ; Set design ; Surgery</subject><ispartof>Diabetes (New York, N.Y.), 2024-06, Vol.73, p.1</ispartof><rights>Copyright American Diabetes Association Jun 2024</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></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>Flory, James</creatorcontrib><creatorcontrib>Ancker, Jessica</creatorcontrib><creatorcontrib>Kim, Scott Y</creatorcontrib><creatorcontrib>Vickers, Andrew</creatorcontrib><creatorcontrib>Austria, Mia</creatorcontrib><creatorcontrib>Martirosova, Helen</creatorcontrib><creatorcontrib>Diaz, Ruben</creatorcontrib><creatorcontrib>Hiestand, Amy</creatorcontrib><creatorcontrib>Kuperman, Gilad</creatorcontrib><title>1064-P: Order Set Design and "Nudges" to Change Care in Diabetes-Towards a Novel Pragmatic Clinical Trial Design</title><title>Diabetes (New York, N.Y.)</title><description>Introduction and Objective: When there are multiple reasonable treatment approaches, electronic health record (EHR) design can 'nudge' providers to choose one: for example, a default drug selected on an order set may be more likely to be used. Our group has proposed use of such nudges in a pragmatic trial design called a Decision Architecture Randomization Trial (DART). Methods: Retrospective analysis of how 3 modifications to an inpatient electronic health record 'nudged' prescribing practices: 1) introduction of an order set to facilitate use of nutritional + correction insulin (as opposed to sliding scale); 2) phased rollout of an order set change to encourage long-acting insulin use by adding a radio button to facilitate ordering; and 3) introduction of default diabetes orders pre-checked in order sets for patients undergoing colorectal surgery. Results: The first nudge increased use of nutrition-correction insulin; the second nudge actually decreased rates of long-acting insulin use; and the third nudge increased glucose monitoring and insulin use for surgery patients (Figure). Conclusion: EHR design offers opportunities to improve care and power innovative randomized trials. These findings support the feasibility of the DART clinical trial design, but research plans should take into account the potential for unpredictable nudge effects.</description><subject>Clinical trials</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Drug development</subject><subject>Electronic health records</subject><subject>Electronic medical records</subject><subject>Glucose monitoring</subject><subject>Insulin</subject><subject>Patients</subject><subject>Set design</subject><subject>Surgery</subject><issn>0012-1797</issn><issn>1939-327X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNqNjMFKAzEURYMoOFpX_sCjrqMvSZkwbqeKq1pwFt2V1-Y5poxJTTL6-w7UD5AL9y7O4Qpxq_BeG2Mf3E4vpMJ6IddnolKNaaTRdnMuKkSlpbKNvRRXOR8QsZ5SiePJfoTX5DjBGxdYcvZ9AAoO5qvR9ZznUCK0HxR6hpYSgw-w9LTjwll28YeSy0Cwit88wDpR_0nF76EdfPB7GqBLfurT70xcvNOQ-eZvr8Xd81PXvshjil8j57I9xDGFCW2NUkrbGhs0_7N-Ae_tTNM</recordid><startdate>20240601</startdate><enddate>20240601</enddate><creator>Flory, James</creator><creator>Ancker, Jessica</creator><creator>Kim, Scott Y</creator><creator>Vickers, Andrew</creator><creator>Austria, Mia</creator><creator>Martirosova, Helen</creator><creator>Diaz, Ruben</creator><creator>Hiestand, Amy</creator><creator>Kuperman, Gilad</creator><general>American Diabetes Association</general><scope>K9.</scope><scope>NAPCQ</scope></search><sort><creationdate>20240601</creationdate><title>1064-P: Order Set Design and "Nudges" to Change Care in Diabetes-Towards a Novel Pragmatic Clinical Trial Design</title><author>Flory, James ; Ancker, Jessica ; Kim, Scott Y ; Vickers, Andrew ; Austria, Mia ; Martirosova, Helen ; Diaz, Ruben ; Hiestand, Amy ; Kuperman, Gilad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_31112760903</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Clinical trials</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Drug development</topic><topic>Electronic health records</topic><topic>Electronic medical records</topic><topic>Glucose monitoring</topic><topic>Insulin</topic><topic>Patients</topic><topic>Set design</topic><topic>Surgery</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Flory, James</creatorcontrib><creatorcontrib>Ancker, Jessica</creatorcontrib><creatorcontrib>Kim, Scott Y</creatorcontrib><creatorcontrib>Vickers, Andrew</creatorcontrib><creatorcontrib>Austria, Mia</creatorcontrib><creatorcontrib>Martirosova, Helen</creatorcontrib><creatorcontrib>Diaz, Ruben</creatorcontrib><creatorcontrib>Hiestand, Amy</creatorcontrib><creatorcontrib>Kuperman, Gilad</creatorcontrib><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><jtitle>Diabetes (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Flory, James</au><au>Ancker, Jessica</au><au>Kim, Scott Y</au><au>Vickers, Andrew</au><au>Austria, Mia</au><au>Martirosova, Helen</au><au>Diaz, Ruben</au><au>Hiestand, Amy</au><au>Kuperman, Gilad</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>1064-P: Order Set Design and "Nudges" to Change Care in Diabetes-Towards a Novel Pragmatic Clinical Trial Design</atitle><jtitle>Diabetes (New York, N.Y.)</jtitle><date>2024-06-01</date><risdate>2024</risdate><volume>73</volume><spage>1</spage><pages>1-</pages><issn>0012-1797</issn><eissn>1939-327X</eissn><abstract>Introduction and Objective: When there are multiple reasonable treatment approaches, electronic health record (EHR) design can 'nudge' providers to choose one: for example, a default drug selected on an order set may be more likely to be used. Our group has proposed use of such nudges in a pragmatic trial design called a Decision Architecture Randomization Trial (DART). Methods: Retrospective analysis of how 3 modifications to an inpatient electronic health record 'nudged' prescribing practices: 1) introduction of an order set to facilitate use of nutritional + correction insulin (as opposed to sliding scale); 2) phased rollout of an order set change to encourage long-acting insulin use by adding a radio button to facilitate ordering; and 3) introduction of default diabetes orders pre-checked in order sets for patients undergoing colorectal surgery. Results: The first nudge increased use of nutrition-correction insulin; the second nudge actually decreased rates of long-acting insulin use; and the third nudge increased glucose monitoring and insulin use for surgery patients (Figure). Conclusion: EHR design offers opportunities to improve care and power innovative randomized trials. These findings support the feasibility of the DART clinical trial design, but research plans should take into account the potential for unpredictable nudge effects.</abstract><cop>New York</cop><pub>American Diabetes Association</pub><doi>10.2337/db24-1064-P</doi></addata></record> |
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subjects | Clinical trials Diabetes Diabetes mellitus Drug development Electronic health records Electronic medical records Glucose monitoring Insulin Patients Set design Surgery |
title | 1064-P: Order Set Design and "Nudges" to Change Care in Diabetes-Towards a Novel Pragmatic Clinical Trial Design |
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