FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3044972269> ?p ?o ?g. }

• W3044972269 endingPage "1016" @default.
• W3044972269 startingPage "1010" @default.
• W3044972269 abstract "BACKGROUND: Identification of high cardiovascular risk patients on suboptimal lipid-lowering therapy (LLT) may be possible through electronic medical record (EMR) reporting, presenting an opportunity for pharmacist involvement in optimizing drug regimens. OBJECTIVES: To (a) identify high cardiovascular risk patients with opportunities for LLT optimization through EMR reporting and (b) evaluate effectiveness of pharmacist review and treatment algorithm on recommending treatment modifications compared with algorithm application alone. METHODS: We generated an EMR report to identify adult patients aged 21-75 years with clinical atherosclerotic cardiovascular disease and low-density lipoprotein cholesterol (LDL-C) level ≥ 70 mg/dL during a 6-month period and collected pertinent data elements. We selected a subgroup of patients for remote pharmacist review and determined recommendations based on our predefined LLT optimization algorithm and pharmacist clinical judgment. One pharmacist was responsible for making all recommendations and communicated potential treatment modification to primary care providers via email and/or EMR messaging. We tracked provider acceptable/rejection rate to all recommendations made. We also compared recommendations based on using the algorithm alone to combining pharmacist chart review and algorithm and examined reasons for any discrepancies. RESULTS: 941 patients met inclusion criteria, with 399 patients (42.4%) not currently on any LLT. At baseline, 249 patients (25.3%) were on a high-intensity statin, and 19 (1.9%) were on a proprotein convertase subtilisin/kexin type 9 inhibitor. A subgroup of 34 patients were reviewed, of which 30 (88.2%) were on suboptimal therapy despite not achieving LDL-C goals. The pharmacist recommended to intensify statin therapy for 16 patients (47.1%), initiate nonstatin therapy for 9 patients (26.5%), and initiate statin therapy in 5 patients (14.7%). Pharmacist recommendation acceptance rate was 53.3%, with no response received in 26.6% of cases. The algorithm evaluation alone yielded the same recommendation as the combined pharmacist review with algorithm in 30 (88.2%) of the cases and differed in 4 cases. CONCLUSIONS: The underutilization of LLT among high cardiovascular risk patients remains a growing issue despite effective treatment options with cardiovascular benefits. Pharmacists may be able to identify these patients by using reportable EMR data elements and applying a treatment optimization algorithm to make therapy recommendations and improve outcomes. DISCLOSURES: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. The authors have no relevant declarations of interest to disclose. This study was presented as a poster presentation at the APhA Annual Meeting, March 2019, Seattle, WA, and as a platform presentation at the Eastern States Conference, May 2019, Hershey, PA." @default.
• W3044972269 created "2020-07-29" @default.
• W3044972269 creator A5013326236 @default.
• W3044972269 creator A5030865716 @default.
• W3044972269 creator A5039779745 @default.
• W3044972269 creator A5058144103 @default.
• W3044972269 creator A5067321968 @default.
• W3044972269 creator A5076662257 @default.
• W3044972269 date "2020-08-01" @default.
• W3044972269 modified "2023-09-27" @default.
• W3044972269 title "Optimization of Lipid-Lowering Therapy for High Cardiovascular Risk Patients Through Electronic Medical Record Reporting and Pharmacist Evaluation" @default.
• W3044972269 cites W168687640 @default.
• W3044972269 cites W2019071303 @default.
• W3044972269 cites W2033410214 @default.
• W3044972269 cites W2097092357 @default.
• W3044972269 cites W2494579016 @default.
• W3044972269 cites W2740472173 @default.
• W3044972269 cites W2791399898 @default.
• W3044972269 cites W2900034165 @default.
• W3044972269 cites W3004612364 @default.
• W3044972269 cites W3129818723 @default.
• W3044972269 cites W4236673002 @default.
• W3044972269 doi "https://doi.org/10.18553/jmcp.2020.26.8.1010" @default.
• W3044972269 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32715962" @default.
• W3044972269 hasPublicationYear "2020" @default.
• W3044972269 type Work @default.
• W3044972269 sameAs 3044972269 @default.
• W3044972269 citedByCount "1" @default.
• W3044972269 countsByYear W30449722692022 @default.
• W3044972269 crossrefType "journal-article" @default.
• W3044972269 hasAuthorship W3044972269A5013326236 @default.
• W3044972269 hasAuthorship W3044972269A5030865716 @default.
• W3044972269 hasAuthorship W3044972269A5039779745 @default.
• W3044972269 hasAuthorship W3044972269A5058144103 @default.
• W3044972269 hasAuthorship W3044972269A5067321968 @default.
• W3044972269 hasAuthorship W3044972269A5076662257 @default.
• W3044972269 hasBestOaLocation W30449722691 @default.
• W3044972269 hasConcept C10446079 @default.
• W3044972269 hasConcept C104863432 @default.
• W3044972269 hasConcept C126322002 @default.
• W3044972269 hasConcept C17744445 @default.
• W3044972269 hasConcept C194828623 @default.
• W3044972269 hasConcept C195910791 @default.
• W3044972269 hasConcept C199539241 @default.
• W3044972269 hasConcept C2776839432 @default.
• W3044972269 hasConcept C2779457091 @default.
• W3044972269 hasConcept C2779473830 @default.
• W3044972269 hasConcept C3018060332 @default.
• W3044972269 hasConcept C500440147 @default.
• W3044972269 hasConcept C512399662 @default.
• W3044972269 hasConcept C71924100 @default.
• W3044972269 hasConceptScore W3044972269C10446079 @default.
• W3044972269 hasConceptScore W3044972269C104863432 @default.
• W3044972269 hasConceptScore W3044972269C126322002 @default.
• W3044972269 hasConceptScore W3044972269C17744445 @default.
• W3044972269 hasConceptScore W3044972269C194828623 @default.
• W3044972269 hasConceptScore W3044972269C195910791 @default.
• W3044972269 hasConceptScore W3044972269C199539241 @default.
• W3044972269 hasConceptScore W3044972269C2776839432 @default.
• W3044972269 hasConceptScore W3044972269C2779457091 @default.
• W3044972269 hasConceptScore W3044972269C2779473830 @default.
• W3044972269 hasConceptScore W3044972269C3018060332 @default.
• W3044972269 hasConceptScore W3044972269C500440147 @default.
• W3044972269 hasConceptScore W3044972269C512399662 @default.
• W3044972269 hasConceptScore W3044972269C71924100 @default.
• W3044972269 hasIssue "8" @default.
• W3044972269 hasLocation W30449722691 @default.
• W3044972269 hasLocation W30449722692 @default.
• W3044972269 hasLocation W30449722693 @default.
• W3044972269 hasOpenAccess W3044972269 @default.
• W3044972269 hasPrimaryLocation W30449722691 @default.
• W3044972269 hasRelatedWork W1991277727 @default.
• W3044972269 hasRelatedWork W2022183773 @default.
• W3044972269 hasRelatedWork W2072187380 @default.
• W3044972269 hasRelatedWork W2352543780 @default.
• W3044972269 hasRelatedWork W2363631851 @default.
• W3044972269 hasRelatedWork W2413159261 @default.
• W3044972269 hasRelatedWork W2541596473 @default.
• W3044972269 hasRelatedWork W3030737585 @default.
• W3044972269 hasRelatedWork W3044972269 @default.
• W3044972269 hasRelatedWork W3110909164 @default.
• W3044972269 hasVolume "26" @default.
• W3044972269 isParatext "false" @default.
• W3044972269 isRetracted "false" @default.
• W3044972269 magId "3044972269" @default.
• W3044972269 workType "article" @default.