138-LB: Improving Type 2 Diabetes Medication Prescribing
Background: For people with type 2 diabetes, implementing best practice guidelines for diabetes and cardiovascular comorbidities is important to reduce the risks of complications. Two adult medical clinics used population health EMR data reports to increase medication prescribing for statins, ACE &a...
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Veröffentlicht in: | Diabetes (New York, N.Y.) N.Y.), 2022-06, Vol.71 (Supplement_1) |
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container_title | Diabetes (New York, N.Y.) |
container_volume | 71 |
creator | RIOLES, NICOLE DESIMONE, MARISA HESS, EMILIE J. IWUMMADU, CHINONSO V. OSPELT, EMMA L. ROMPICHERLA, SAKETH GREENFIELD, MARGARET TSAI, SANDRA |
description | Background: For people with type 2 diabetes, implementing best practice guidelines for diabetes and cardiovascular comorbidities is important to reduce the risks of complications. Two adult medical clinics used population health EMR data reports to increase medication prescribing for statins, ACE & ARB, SGLT2 & GLP-1.
Methods: The clinics tracked measures and used data analytics to identify a cohort population and medication needs for 6241 patients. Table 1 reflects data from a one-year pilot. Patients with a diagnosis of type 2 diabetes, duration of disease for at least one year, ages 18-75, with at least one in-person or telehealth visit were included.
Results: Three medication prescribing baselines were tracked to improve type 2 diabetes and heart disease management. Prescribing rates of SGLT2 and GLP1 increased by 2%, ACE-I and ARB use increased by 1% and statins rates remained at 73%.
Conclusion: The clinics used data to identify the cohort and prescribe necessary medications. Partnering with clinical pharmacists helped to support patients, educate providers, and standardize medication prescribing workflows. Planning care so that the teams consistently identified appropriate medications for diabetes and cardiovascular disease management were clinical priorities. While the goal rate of medication prescribing has not been achieved yet, new reporting workflows are now incorporated, setting up the clinics for continued improvement. |
doi_str_mv | 10.2337/db22-138-LB |
format | Article |
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Methods: The clinics tracked measures and used data analytics to identify a cohort population and medication needs for 6241 patients. Table 1 reflects data from a one-year pilot. Patients with a diagnosis of type 2 diabetes, duration of disease for at least one year, ages 18-75, with at least one in-person or telehealth visit were included.
Results: Three medication prescribing baselines were tracked to improve type 2 diabetes and heart disease management. Prescribing rates of SGLT2 and GLP1 increased by 2%, ACE-I and ARB use increased by 1% and statins rates remained at 73%.
Conclusion: The clinics used data to identify the cohort and prescribe necessary medications. Partnering with clinical pharmacists helped to support patients, educate providers, and standardize medication prescribing workflows. Planning care so that the teams consistently identified appropriate medications for diabetes and cardiovascular disease management were clinical priorities. While the goal rate of medication prescribing has not been achieved yet, new reporting workflows are now incorporated, setting up the clinics for continued improvement.</description><identifier>ISSN: 0012-1797</identifier><identifier>EISSN: 1939-327X</identifier><identifier>DOI: 10.2337/db22-138-LB</identifier><language>eng</language><publisher>New York: American Diabetes Association</publisher><subject>Cardiovascular diseases ; Clinical practice guidelines ; Comorbidity ; Coronary artery disease ; Diabetes ; Diabetes mellitus (non-insulin dependent) ; Disease management ; Heart diseases ; Patients ; Statins</subject><ispartof>Diabetes (New York, N.Y.), 2022-06, Vol.71 (Supplement_1)</ispartof><rights>Copyright American Diabetes Association Jun 2022</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>RIOLES, NICOLE</creatorcontrib><creatorcontrib>DESIMONE, MARISA</creatorcontrib><creatorcontrib>HESS, EMILIE J.</creatorcontrib><creatorcontrib>IWUMMADU, CHINONSO V.</creatorcontrib><creatorcontrib>OSPELT, EMMA L.</creatorcontrib><creatorcontrib>ROMPICHERLA, SAKETH</creatorcontrib><creatorcontrib>GREENFIELD, MARGARET</creatorcontrib><creatorcontrib>TSAI, SANDRA</creatorcontrib><title>138-LB: Improving Type 2 Diabetes Medication Prescribing</title><title>Diabetes (New York, N.Y.)</title><description>Background: For people with type 2 diabetes, implementing best practice guidelines for diabetes and cardiovascular comorbidities is important to reduce the risks of complications. Two adult medical clinics used population health EMR data reports to increase medication prescribing for statins, ACE & ARB, SGLT2 & GLP-1.
Methods: The clinics tracked measures and used data analytics to identify a cohort population and medication needs for 6241 patients. Table 1 reflects data from a one-year pilot. Patients with a diagnosis of type 2 diabetes, duration of disease for at least one year, ages 18-75, with at least one in-person or telehealth visit were included.
Results: Three medication prescribing baselines were tracked to improve type 2 diabetes and heart disease management. Prescribing rates of SGLT2 and GLP1 increased by 2%, ACE-I and ARB use increased by 1% and statins rates remained at 73%.
Conclusion: The clinics used data to identify the cohort and prescribe necessary medications. Partnering with clinical pharmacists helped to support patients, educate providers, and standardize medication prescribing workflows. Planning care so that the teams consistently identified appropriate medications for diabetes and cardiovascular disease management were clinical priorities. While the goal rate of medication prescribing has not been achieved yet, new reporting workflows are now incorporated, setting up the clinics for continued improvement.</description><subject>Cardiovascular diseases</subject><subject>Clinical practice guidelines</subject><subject>Comorbidity</subject><subject>Coronary artery disease</subject><subject>Diabetes</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Disease management</subject><subject>Heart diseases</subject><subject>Patients</subject><subject>Statins</subject><issn>0012-1797</issn><issn>1939-327X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNotkEtPwzAQhC0EEqFw4g9Y4ogCfj-40ZZHpSA45MDNchwHuaJNsFOk_nscBe1hDvtpZ3YAuMbojlAq79uGkBJTVVbLE1BgTXVJifw8BQVCOG-klufgIqUtQkjkKYCa6Qe42Q2x_w37L1gfBw8JXAfb-NEn-Obb4OwY-j38iD65GJqMXYKzzn4nf_WvC1A_P9Wr17J6f9msHqvSCcZKqoiUmLMGWdV2iDtMmbS80Y1otRDUKzwJ115wSTBFrXWoQ5hJzjRmmC7AzXw2p_s5-DSabX-I--xoiFCca8Yly9TtTLnYpxR9Z4YYdjYeDUZmasZMzZj8q6mW9A8fGVIT</recordid><startdate>20220601</startdate><enddate>20220601</enddate><creator>RIOLES, NICOLE</creator><creator>DESIMONE, MARISA</creator><creator>HESS, EMILIE J.</creator><creator>IWUMMADU, CHINONSO V.</creator><creator>OSPELT, EMMA L.</creator><creator>ROMPICHERLA, SAKETH</creator><creator>GREENFIELD, MARGARET</creator><creator>TSAI, SANDRA</creator><general>American Diabetes Association</general><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>NAPCQ</scope></search><sort><creationdate>20220601</creationdate><title>138-LB: Improving Type 2 Diabetes Medication Prescribing</title><author>RIOLES, NICOLE ; DESIMONE, MARISA ; HESS, EMILIE J. ; IWUMMADU, CHINONSO V. ; OSPELT, EMMA L. ; ROMPICHERLA, SAKETH ; GREENFIELD, MARGARET ; TSAI, SANDRA</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c644-38277154b0a8df05c1347a5b9b6d9663e81966359e6572130dac0f01475491413</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Cardiovascular diseases</topic><topic>Clinical practice guidelines</topic><topic>Comorbidity</topic><topic>Coronary artery disease</topic><topic>Diabetes</topic><topic>Diabetes mellitus (non-insulin dependent)</topic><topic>Disease management</topic><topic>Heart diseases</topic><topic>Patients</topic><topic>Statins</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>RIOLES, NICOLE</creatorcontrib><creatorcontrib>DESIMONE, MARISA</creatorcontrib><creatorcontrib>HESS, EMILIE J.</creatorcontrib><creatorcontrib>IWUMMADU, CHINONSO V.</creatorcontrib><creatorcontrib>OSPELT, EMMA L.</creatorcontrib><creatorcontrib>ROMPICHERLA, SAKETH</creatorcontrib><creatorcontrib>GREENFIELD, MARGARET</creatorcontrib><creatorcontrib>TSAI, SANDRA</creatorcontrib><collection>CrossRef</collection><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>RIOLES, NICOLE</au><au>DESIMONE, MARISA</au><au>HESS, EMILIE J.</au><au>IWUMMADU, CHINONSO V.</au><au>OSPELT, EMMA L.</au><au>ROMPICHERLA, SAKETH</au><au>GREENFIELD, MARGARET</au><au>TSAI, SANDRA</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>138-LB: Improving Type 2 Diabetes Medication Prescribing</atitle><jtitle>Diabetes (New York, N.Y.)</jtitle><date>2022-06-01</date><risdate>2022</risdate><volume>71</volume><issue>Supplement_1</issue><issn>0012-1797</issn><eissn>1939-327X</eissn><abstract>Background: For people with type 2 diabetes, implementing best practice guidelines for diabetes and cardiovascular comorbidities is important to reduce the risks of complications. Two adult medical clinics used population health EMR data reports to increase medication prescribing for statins, ACE & ARB, SGLT2 & GLP-1.
Methods: The clinics tracked measures and used data analytics to identify a cohort population and medication needs for 6241 patients. Table 1 reflects data from a one-year pilot. Patients with a diagnosis of type 2 diabetes, duration of disease for at least one year, ages 18-75, with at least one in-person or telehealth visit were included.
Results: Three medication prescribing baselines were tracked to improve type 2 diabetes and heart disease management. Prescribing rates of SGLT2 and GLP1 increased by 2%, ACE-I and ARB use increased by 1% and statins rates remained at 73%.
Conclusion: The clinics used data to identify the cohort and prescribe necessary medications. Partnering with clinical pharmacists helped to support patients, educate providers, and standardize medication prescribing workflows. Planning care so that the teams consistently identified appropriate medications for diabetes and cardiovascular disease management were clinical priorities. While the goal rate of medication prescribing has not been achieved yet, new reporting workflows are now incorporated, setting up the clinics for continued improvement.</abstract><cop>New York</cop><pub>American Diabetes Association</pub><doi>10.2337/db22-138-LB</doi></addata></record> |
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subjects | Cardiovascular diseases Clinical practice guidelines Comorbidity Coronary artery disease Diabetes Diabetes mellitus (non-insulin dependent) Disease management Heart diseases Patients Statins |
title | 138-LB: Improving Type 2 Diabetes Medication Prescribing |
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