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Reducing Inappropriate Outpatient Medication Prescribing in Older Adults across Electronic Health Record Systems
Abstract Background The American Geriatrics Society recommends against the use of certain potentially inappropriate medications (PIMs) in older adults. Prescribing of these medications correlates with higher rates of hospital readmissions, morbidity, and mortality. Vanderbilt University Medical Cen...
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| Published in: | Applied clinical informatics 2020-10, Vol.11 (5), p.865-872 |
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| creator | Friebe, Michael P. LeGrand, Joseph R. Shepherd, Bryan E. Breeden, Elizabeth A. Nelson, Scott D. |
| description | Abstract
Background
The American Geriatrics Society recommends against the use of certain potentially inappropriate medications (PIMs) in older adults. Prescribing of these medications correlates with higher rates of hospital readmissions, morbidity, and mortality. Vanderbilt University Medical Center previously deployed clinical decision support (CDS) to decrease PIM prescribing rates, but recently transitioned to a new electronic health record (EHR).
Objective
The goal of this study was to evaluate PIM prescribing rates for older adults before and after migration to the new EHR system.
Methods
We reviewed prescribing rates of PIMs in adults 65 years and older, normalized per 100 total prescriptions from the legacy and new EHR systems between July 1, 2014 and December 31, 2019. The PIM prescribing rates before and after EHR migration during November 2017 were compared using a U-chart and Poisson regression model. Secondary analysis descriptively evaluated the frequency of prescriber acceptance rates in the new EHR.
Results
Prescribing rates of PIMs decreased 5.2% (13.5 per 100 prescriptions to 12.8 per 100 prescriptions;
p
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| doi_str_mv | 10.1055/s-0040-1721398 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7773492</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2474498158</sourcerecordid><originalsourceid>FETCH-LOGICAL-c428t-6c484204e04e3adfc6b1081fca595eabb8b7c223c4f9a873c1788db13d1b30933</originalsourceid><addsrcrecordid>eNp1kUFPJCEQhcnGzWpcr3s0HL20QkMP9MXEGFdNNLNR90xoqHYw3dACvYn_XsYZjR6WVEIlfPWKqofQL0qOKWmak1QRwklFRU1ZK7-hPSoXbUVYLXY-5bvoIKUnUk6zoFKKH2iXMSakkHQPTXdgZ-P8I772eppimKLTGfByzpPODnzGt2CdKXnw-E-EZKLr1rzzeDlYiPjMzkNOWJsYUsIXA5gcg3cGX4Ee8grfgQnR4vuXlGFMP9H3Xg8JDrb3Pvr7--Lh_Kq6WV5en5_dVIbXMlcLwyWvCYcSTNveLDpKJO2NbtoGdNfJTpi6Zob3rZaCGSqktB1llnaMtIzto9ON7jR3I1hTJol6UGW8UccXFbRTX1-8W6nH8E8JIRhv6yJwtBWI4XmGlNXokoFh0B7CnFTNBeetpI0s6PEGfVtBhP6jDSVq7ZRKau2U2jpVCg4_f-4Df_elANUGyCsHI6inMEdf1vU_wVf5WZ9a</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2474498158</pqid></control><display><type>article</type><title>Reducing Inappropriate Outpatient Medication Prescribing in Older Adults across Electronic Health Record Systems</title><source>PubMed Central</source><creator>Friebe, Michael P. ; LeGrand, Joseph R. ; Shepherd, Bryan E. ; Breeden, Elizabeth A. ; Nelson, Scott D.</creator><creatorcontrib>Friebe, Michael P. ; LeGrand, Joseph R. ; Shepherd, Bryan E. ; Breeden, Elizabeth A. ; Nelson, Scott D.</creatorcontrib><description>Abstract
Background
The American Geriatrics Society recommends against the use of certain potentially inappropriate medications (PIMs) in older adults. Prescribing of these medications correlates with higher rates of hospital readmissions, morbidity, and mortality. Vanderbilt University Medical Center previously deployed clinical decision support (CDS) to decrease PIM prescribing rates, but recently transitioned to a new electronic health record (EHR).
Objective
The goal of this study was to evaluate PIM prescribing rates for older adults before and after migration to the new EHR system.
Methods
We reviewed prescribing rates of PIMs in adults 65 years and older, normalized per 100 total prescriptions from the legacy and new EHR systems between July 1, 2014 and December 31, 2019. The PIM prescribing rates before and after EHR migration during November 2017 were compared using a U-chart and Poisson regression model. Secondary analysis descriptively evaluated the frequency of prescriber acceptance rates in the new EHR.
Results
Prescribing rates of PIMs decreased 5.2% (13.5 per 100 prescriptions to 12.8 per 100 prescriptions;
p
< 0.0001) corresponding to the implementation of alternatives CDS in the legacy EHR. After migration of the alternative CDS from the legacy to the new EHR system, PIM prescribing rates dropped an additional 18.8% (10.4 per 100 prescriptions;
p
< 0.0001). Acceptance rates of the alternative recommendations for PIMs was low overall at 11.1%.
Conclusion
The prescribing rate of PIMs in adults aged 65 years and older was successfully decreased with the implementation of prescribing CDS. This decrease was not only maintained but strengthened by the transition to a new EHR system.</description><identifier>ISSN: 1869-0327</identifier><identifier>EISSN: 1869-0327</identifier><identifier>DOI: 10.1055/s-0040-1721398</identifier><identifier>PMID: 33378781</identifier><language>eng</language><publisher>Rüdigerstraße 14, 70469 Stuttgart, Germany: Georg Thieme Verlag KG</publisher><subject>Aged ; Decision Support Systems, Clinical ; Electronic Health Records ; Humans ; Inappropriate Prescribing ; Outpatients ; Potentially Inappropriate Medication List ; Research Article</subject><ispartof>Applied clinical informatics, 2020-10, Vol.11 (5), p.865-872</ispartof><rights>Thieme. All rights reserved.</rights><rights>Thieme. All rights reserved. 2020 Georg Thieme Verlag KG</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c428t-6c484204e04e3adfc6b1081fca595eabb8b7c223c4f9a873c1788db13d1b30933</citedby><cites>FETCH-LOGICAL-c428t-6c484204e04e3adfc6b1081fca595eabb8b7c223c4f9a873c1788db13d1b30933</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/PMC7773492/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7773492/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33378781$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Friebe, Michael P.</creatorcontrib><creatorcontrib>LeGrand, Joseph R.</creatorcontrib><creatorcontrib>Shepherd, Bryan E.</creatorcontrib><creatorcontrib>Breeden, Elizabeth A.</creatorcontrib><creatorcontrib>Nelson, Scott D.</creatorcontrib><title>Reducing Inappropriate Outpatient Medication Prescribing in Older Adults across Electronic Health Record Systems</title><title>Applied clinical informatics</title><addtitle>Appl Clin Inform</addtitle><description>Abstract
Background
The American Geriatrics Society recommends against the use of certain potentially inappropriate medications (PIMs) in older adults. Prescribing of these medications correlates with higher rates of hospital readmissions, morbidity, and mortality. Vanderbilt University Medical Center previously deployed clinical decision support (CDS) to decrease PIM prescribing rates, but recently transitioned to a new electronic health record (EHR).
Objective
The goal of this study was to evaluate PIM prescribing rates for older adults before and after migration to the new EHR system.
Methods
We reviewed prescribing rates of PIMs in adults 65 years and older, normalized per 100 total prescriptions from the legacy and new EHR systems between July 1, 2014 and December 31, 2019. The PIM prescribing rates before and after EHR migration during November 2017 were compared using a U-chart and Poisson regression model. Secondary analysis descriptively evaluated the frequency of prescriber acceptance rates in the new EHR.
Results
Prescribing rates of PIMs decreased 5.2% (13.5 per 100 prescriptions to 12.8 per 100 prescriptions;
p
< 0.0001) corresponding to the implementation of alternatives CDS in the legacy EHR. After migration of the alternative CDS from the legacy to the new EHR system, PIM prescribing rates dropped an additional 18.8% (10.4 per 100 prescriptions;
p
< 0.0001). Acceptance rates of the alternative recommendations for PIMs was low overall at 11.1%.
Conclusion
The prescribing rate of PIMs in adults aged 65 years and older was successfully decreased with the implementation of prescribing CDS. This decrease was not only maintained but strengthened by the transition to a new EHR system.</description><subject>Aged</subject><subject>Decision Support Systems, Clinical</subject><subject>Electronic Health Records</subject><subject>Humans</subject><subject>Inappropriate Prescribing</subject><subject>Outpatients</subject><subject>Potentially Inappropriate Medication List</subject><subject>Research Article</subject><issn>1869-0327</issn><issn>1869-0327</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>0U6</sourceid><recordid>eNp1kUFPJCEQhcnGzWpcr3s0HL20QkMP9MXEGFdNNLNR90xoqHYw3dACvYn_XsYZjR6WVEIlfPWKqofQL0qOKWmak1QRwklFRU1ZK7-hPSoXbUVYLXY-5bvoIKUnUk6zoFKKH2iXMSakkHQPTXdgZ-P8I772eppimKLTGfByzpPODnzGt2CdKXnw-E-EZKLr1rzzeDlYiPjMzkNOWJsYUsIXA5gcg3cGX4Ee8grfgQnR4vuXlGFMP9H3Xg8JDrb3Pvr7--Lh_Kq6WV5en5_dVIbXMlcLwyWvCYcSTNveLDpKJO2NbtoGdNfJTpi6Zob3rZaCGSqktB1llnaMtIzto9ON7jR3I1hTJol6UGW8UccXFbRTX1-8W6nH8E8JIRhv6yJwtBWI4XmGlNXokoFh0B7CnFTNBeetpI0s6PEGfVtBhP6jDSVq7ZRKau2U2jpVCg4_f-4Df_elANUGyCsHI6inMEdf1vU_wVf5WZ9a</recordid><startdate>202010</startdate><enddate>202010</enddate><creator>Friebe, Michael P.</creator><creator>LeGrand, Joseph R.</creator><creator>Shepherd, Bryan E.</creator><creator>Breeden, Elizabeth A.</creator><creator>Nelson, Scott D.</creator><general>Georg Thieme Verlag KG</general><scope>0U6</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>202010</creationdate><title>Reducing Inappropriate Outpatient Medication Prescribing in Older Adults across Electronic Health Record Systems</title><author>Friebe, Michael P. ; LeGrand, Joseph R. ; Shepherd, Bryan E. ; Breeden, Elizabeth A. ; Nelson, Scott D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c428t-6c484204e04e3adfc6b1081fca595eabb8b7c223c4f9a873c1788db13d1b30933</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aged</topic><topic>Decision Support Systems, Clinical</topic><topic>Electronic Health Records</topic><topic>Humans</topic><topic>Inappropriate Prescribing</topic><topic>Outpatients</topic><topic>Potentially Inappropriate Medication List</topic><topic>Research Article</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Friebe, Michael P.</creatorcontrib><creatorcontrib>LeGrand, Joseph R.</creatorcontrib><creatorcontrib>Shepherd, Bryan E.</creatorcontrib><creatorcontrib>Breeden, Elizabeth A.</creatorcontrib><creatorcontrib>Nelson, Scott D.</creatorcontrib><collection>Thieme Connect Journals Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Applied clinical informatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Friebe, Michael P.</au><au>LeGrand, Joseph R.</au><au>Shepherd, Bryan E.</au><au>Breeden, Elizabeth A.</au><au>Nelson, Scott D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reducing Inappropriate Outpatient Medication Prescribing in Older Adults across Electronic Health Record Systems</atitle><jtitle>Applied clinical informatics</jtitle><addtitle>Appl Clin Inform</addtitle><date>2020-10</date><risdate>2020</risdate><volume>11</volume><issue>5</issue><spage>865</spage><epage>872</epage><pages>865-872</pages><issn>1869-0327</issn><eissn>1869-0327</eissn><abstract>Abstract
Background
The American Geriatrics Society recommends against the use of certain potentially inappropriate medications (PIMs) in older adults. Prescribing of these medications correlates with higher rates of hospital readmissions, morbidity, and mortality. Vanderbilt University Medical Center previously deployed clinical decision support (CDS) to decrease PIM prescribing rates, but recently transitioned to a new electronic health record (EHR).
Objective
The goal of this study was to evaluate PIM prescribing rates for older adults before and after migration to the new EHR system.
Methods
We reviewed prescribing rates of PIMs in adults 65 years and older, normalized per 100 total prescriptions from the legacy and new EHR systems between July 1, 2014 and December 31, 2019. The PIM prescribing rates before and after EHR migration during November 2017 were compared using a U-chart and Poisson regression model. Secondary analysis descriptively evaluated the frequency of prescriber acceptance rates in the new EHR.
Results
Prescribing rates of PIMs decreased 5.2% (13.5 per 100 prescriptions to 12.8 per 100 prescriptions;
p
< 0.0001) corresponding to the implementation of alternatives CDS in the legacy EHR. After migration of the alternative CDS from the legacy to the new EHR system, PIM prescribing rates dropped an additional 18.8% (10.4 per 100 prescriptions;
p
< 0.0001). Acceptance rates of the alternative recommendations for PIMs was low overall at 11.1%.
Conclusion
The prescribing rate of PIMs in adults aged 65 years and older was successfully decreased with the implementation of prescribing CDS. This decrease was not only maintained but strengthened by the transition to a new EHR system.</abstract><cop>Rüdigerstraße 14, 70469 Stuttgart, Germany</cop><pub>Georg Thieme Verlag KG</pub><pmid>33378781</pmid><doi>10.1055/s-0040-1721398</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Aged Decision Support Systems, Clinical Electronic Health Records Humans Inappropriate Prescribing Outpatients Potentially Inappropriate Medication List Research Article |
| title | Reducing Inappropriate Outpatient Medication Prescribing in Older Adults across Electronic Health Record Systems |
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