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An Informatics Approach to Implement Support for Shared Decision Making for Primary Prevention Statin Therapy
Background. Shared decision making (SDM) is recommended prior to initiation of statin therapy for primary prevention but is underutilized. We designed an informatics decision-support tool to facilitate use of the Mayo Clinic Statin Choice decision aid at the point-of-care and evaluated its impact. M...
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description | Background. Shared decision making (SDM) is recommended prior to initiation of statin therapy for primary prevention but is underutilized. We designed an informatics decision-support tool to facilitate use of the Mayo Clinic Statin Choice decision aid at the point-of-care and evaluated its impact. Methods. Using an iterative approach, we designed and implemented a single-click decision-support tool embedded within the electronic health records (EHRs) to automate the calculation of 10-year atherosclerotic cardiovascular disease (ASCVD) risk and populate the Statin Choice decision aid. We surveyed primary care providers at two clinics regarding their attitudes about SDM before and after deployment of intervention, as well as their usage of and perceived competence regarding SDM for primary prevention statin therapy. Three-month web traffic to the Statin Choice website was calculated before and after deployment of the intervention. Results. Pre–post surveys were completed by 60 primary care providers (24 [40%] attending physicians and 36 [60%] housestaff physicians). After deployment of the EHR tool, respondents were more aware of the Statin Choice decision aid (P < 0.001), reported being more competent regarding SDM (P = 0.047), and reported using decision aids more often when considering statin initiation (P = 0.043). There was no significant change in attitudes about SDM as measured through the Patient Provider Orientation Scale (pre 4.23 ± 0.40 v. post 4.16 ± 0.38, P = 0.11) and the SDM belief scale (pre 21.4 ± 2.1 v. post 21.1 ± 2.0, P = 0.35). Web-based usage rates for the Statin Choice decision aid increased from 3.4 to 5.2 per 1,000 outpatient clinic visits (P = 0.002). Conclusions. Implementation of a point-of-care decision-support tool increased the usage of decision aids for primary prevention statin therapy. This effect does not appear to be mediated by any concomitant changes in physician attitude toward SDM. |
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Shared decision making (SDM) is recommended prior to initiation of statin therapy for primary prevention but is underutilized. We designed an informatics decision-support tool to facilitate use of the Mayo Clinic Statin Choice decision aid at the point-of-care and evaluated its impact. Methods. Using an iterative approach, we designed and implemented a single-click decision-support tool embedded within the electronic health records (EHRs) to automate the calculation of 10-year atherosclerotic cardiovascular disease (ASCVD) risk and populate the Statin Choice decision aid. We surveyed primary care providers at two clinics regarding their attitudes about SDM before and after deployment of intervention, as well as their usage of and perceived competence regarding SDM for primary prevention statin therapy. Three-month web traffic to the Statin Choice website was calculated before and after deployment of the intervention. Results. Pre–post surveys were completed by 60 primary care providers (24 [40%] attending physicians and 36 [60%] housestaff physicians). After deployment of the EHR tool, respondents were more aware of the Statin Choice decision aid (P < 0.001), reported being more competent regarding SDM (P = 0.047), and reported using decision aids more often when considering statin initiation (P = 0.043). There was no significant change in attitudes about SDM as measured through the Patient Provider Orientation Scale (pre 4.23 ± 0.40 v. post 4.16 ± 0.38, P = 0.11) and the SDM belief scale (pre 21.4 ± 2.1 v. post 21.1 ± 2.0, P = 0.35). Web-based usage rates for the Statin Choice decision aid increased from 3.4 to 5.2 per 1,000 outpatient clinic visits (P = 0.002). Conclusions. Implementation of a point-of-care decision-support tool increased the usage of decision aids for primary prevention statin therapy. This effect does not appear to be mediated by any concomitant changes in physician attitude toward SDM.</description><identifier>ISSN: 2381-4683</identifier><identifier>EISSN: 2381-4683</identifier><identifier>DOI: 10.1177/2381468318777752</identifier><identifier>PMID: 30288449</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Clinical decision making ; Decision making ; Electronic health records ; Informatics ; Original ; Prevention ; Primary care ; Statins</subject><ispartof>MDM policy & practice, 2018-01, Vol.3 (1), p.2381468318777752-2381468318777752</ispartof><rights>The Author(s) 2018</rights><rights>The Author(s) 2018. This work is licensed under the Creative Commons Attribution – Non-Commercial License http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2018 2018 SAGE Publications Inc, or Society for Medical Decision Making, unless otherwise noted. Manuscript content on this site is licensed under Creative Commons Licenses.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4432-2d62105a31e7ef5554d5a6ff16259d199c3fd4fdb4e72979c9b931cd6c6ef0be3</citedby><cites>FETCH-LOGICAL-c4432-2d62105a31e7ef5554d5a6ff16259d199c3fd4fdb4e72979c9b931cd6c6ef0be3</cites><orcidid>0000-0002-5229-9775</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6157431/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2313780497?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,21964,25751,27851,27922,27923,37010,37011,44588,44943,45331,53789,53791</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30288449$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ye, Siqin</creatorcontrib><creatorcontrib>Leppin, Aaron L.</creatorcontrib><creatorcontrib>Chan, Amy Y.</creatorcontrib><creatorcontrib>Chang, Nancy</creatorcontrib><creatorcontrib>Moise, Nathalie</creatorcontrib><creatorcontrib>Poghosyan, Lusine</creatorcontrib><creatorcontrib>Montori, Victor M.</creatorcontrib><creatorcontrib>Kronish, Ian</creatorcontrib><title>An Informatics Approach to Implement Support for Shared Decision Making for Primary Prevention Statin Therapy</title><title>MDM policy & practice</title><addtitle>MDM Policy Pract</addtitle><description>Background. Shared decision making (SDM) is recommended prior to initiation of statin therapy for primary prevention but is underutilized. We designed an informatics decision-support tool to facilitate use of the Mayo Clinic Statin Choice decision aid at the point-of-care and evaluated its impact. Methods. Using an iterative approach, we designed and implemented a single-click decision-support tool embedded within the electronic health records (EHRs) to automate the calculation of 10-year atherosclerotic cardiovascular disease (ASCVD) risk and populate the Statin Choice decision aid. We surveyed primary care providers at two clinics regarding their attitudes about SDM before and after deployment of intervention, as well as their usage of and perceived competence regarding SDM for primary prevention statin therapy. Three-month web traffic to the Statin Choice website was calculated before and after deployment of the intervention. Results. Pre–post surveys were completed by 60 primary care providers (24 [40%] attending physicians and 36 [60%] housestaff physicians). After deployment of the EHR tool, respondents were more aware of the Statin Choice decision aid (P < 0.001), reported being more competent regarding SDM (P = 0.047), and reported using decision aids more often when considering statin initiation (P = 0.043). There was no significant change in attitudes about SDM as measured through the Patient Provider Orientation Scale (pre 4.23 ± 0.40 v. post 4.16 ± 0.38, P = 0.11) and the SDM belief scale (pre 21.4 ± 2.1 v. post 21.1 ± 2.0, P = 0.35). Web-based usage rates for the Statin Choice decision aid increased from 3.4 to 5.2 per 1,000 outpatient clinic visits (P = 0.002). Conclusions. Implementation of a point-of-care decision-support tool increased the usage of decision aids for primary prevention statin therapy. This effect does not appear to be mediated by any concomitant changes in physician attitude toward SDM.</description><subject>Clinical decision making</subject><subject>Decision making</subject><subject>Electronic health records</subject><subject>Informatics</subject><subject>Original</subject><subject>Prevention</subject><subject>Primary care</subject><subject>Statins</subject><issn>2381-4683</issn><issn>2381-4683</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>AFRWT</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp1kstv1DAQxiMEolXpnROyxIVLit-PC9KqBbpSEUhbzpbXj90sSRzspFL_e5ymlLYSvoz1zTc_z1hTVW8RPENIiI-YSES5JEiKchh-UR3PUj1rLx_dj6rTnA8QQiQx50y8ro4IxFJSqo6rbtWDdR9i6szY2AxWw5CisXswRrDuhtZ3vh_BZhqGmEZQfGCzN8k7cOFtk5vYg2_mV9Pv7lI_UtOZdFuivyllc3YzFm4Prvc-meH2TfUqmDb70_t4Uv388vn6_LK--v51fb66qi2lBNfYcYwgMwR54QNjjDpmeAiIY6YcUsqS4GhwW-oFVkJZtVUEWcct9wFuPTmp1gvXRXPQw9KWjqbRd0JMO21Smbf1WjAqDULOUumoRd5II5my1CoolQiosD4trGHadt7ZMlgy7RPo00zf7PUu3miOmKBkBny4B6T4e_J51F2TrW9b0_s4ZY0R4pISAkmxvn9mPcQp9eWrNC4kISFVorjg4rIp5px8eGgGQT2vhn6-GqXk3eMhHgr-LkIx1Ishm53_9-p_gX8A-mrBMQ</recordid><startdate>20180101</startdate><enddate>20180101</enddate><creator>Ye, Siqin</creator><creator>Leppin, Aaron L.</creator><creator>Chan, Amy Y.</creator><creator>Chang, Nancy</creator><creator>Moise, Nathalie</creator><creator>Poghosyan, Lusine</creator><creator>Montori, Victor M.</creator><creator>Kronish, Ian</creator><general>SAGE Publications</general><general>Sage Publications Ltd</general><general>SAGE Publishing</general><scope>AFRWT</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7XB</scope><scope>8C1</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>KB0</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-5229-9775</orcidid></search><sort><creationdate>20180101</creationdate><title>An Informatics Approach to Implement Support for Shared Decision Making for Primary Prevention Statin Therapy</title><author>Ye, Siqin ; Leppin, Aaron L. ; Chan, Amy Y. ; Chang, Nancy ; Moise, Nathalie ; Poghosyan, Lusine ; Montori, Victor M. ; Kronish, Ian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4432-2d62105a31e7ef5554d5a6ff16259d199c3fd4fdb4e72979c9b931cd6c6ef0be3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Clinical decision making</topic><topic>Decision making</topic><topic>Electronic health records</topic><topic>Informatics</topic><topic>Original</topic><topic>Prevention</topic><topic>Primary care</topic><topic>Statins</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ye, Siqin</creatorcontrib><creatorcontrib>Leppin, Aaron L.</creatorcontrib><creatorcontrib>Chan, Amy Y.</creatorcontrib><creatorcontrib>Chang, Nancy</creatorcontrib><creatorcontrib>Moise, Nathalie</creatorcontrib><creatorcontrib>Poghosyan, Lusine</creatorcontrib><creatorcontrib>Montori, Victor M.</creatorcontrib><creatorcontrib>Kronish, Ian</creatorcontrib><collection>SAGE Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing & Allied Health Database</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Public Health Database</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)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest - Publicly Available Content Database</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><collection>Directory of Open Access Journals</collection><jtitle>MDM policy & practice</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ye, Siqin</au><au>Leppin, Aaron L.</au><au>Chan, Amy Y.</au><au>Chang, Nancy</au><au>Moise, Nathalie</au><au>Poghosyan, Lusine</au><au>Montori, Victor M.</au><au>Kronish, Ian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Informatics Approach to Implement Support for Shared Decision Making for Primary Prevention Statin Therapy</atitle><jtitle>MDM policy & practice</jtitle><addtitle>MDM Policy Pract</addtitle><date>2018-01-01</date><risdate>2018</risdate><volume>3</volume><issue>1</issue><spage>2381468318777752</spage><epage>2381468318777752</epage><pages>2381468318777752-2381468318777752</pages><issn>2381-4683</issn><eissn>2381-4683</eissn><abstract>Background. Shared decision making (SDM) is recommended prior to initiation of statin therapy for primary prevention but is underutilized. We designed an informatics decision-support tool to facilitate use of the Mayo Clinic Statin Choice decision aid at the point-of-care and evaluated its impact. Methods. Using an iterative approach, we designed and implemented a single-click decision-support tool embedded within the electronic health records (EHRs) to automate the calculation of 10-year atherosclerotic cardiovascular disease (ASCVD) risk and populate the Statin Choice decision aid. We surveyed primary care providers at two clinics regarding their attitudes about SDM before and after deployment of intervention, as well as their usage of and perceived competence regarding SDM for primary prevention statin therapy. Three-month web traffic to the Statin Choice website was calculated before and after deployment of the intervention. Results. Pre–post surveys were completed by 60 primary care providers (24 [40%] attending physicians and 36 [60%] housestaff physicians). After deployment of the EHR tool, respondents were more aware of the Statin Choice decision aid (P < 0.001), reported being more competent regarding SDM (P = 0.047), and reported using decision aids more often when considering statin initiation (P = 0.043). There was no significant change in attitudes about SDM as measured through the Patient Provider Orientation Scale (pre 4.23 ± 0.40 v. post 4.16 ± 0.38, P = 0.11) and the SDM belief scale (pre 21.4 ± 2.1 v. post 21.1 ± 2.0, P = 0.35). Web-based usage rates for the Statin Choice decision aid increased from 3.4 to 5.2 per 1,000 outpatient clinic visits (P = 0.002). Conclusions. Implementation of a point-of-care decision-support tool increased the usage of decision aids for primary prevention statin therapy. This effect does not appear to be mediated by any concomitant changes in physician attitude toward SDM.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><pmid>30288449</pmid><doi>10.1177/2381468318777752</doi><orcidid>https://orcid.org/0000-0002-5229-9775</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Clinical decision making Decision making Electronic health records Informatics Original Prevention Primary care Statins |
title | An Informatics Approach to Implement Support for Shared Decision Making for Primary Prevention Statin Therapy |
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