FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W168687640> ?p ?o ?g. }

• W168687640 endingPage "354" @default.
• W168687640 startingPage "345" @default.
• W168687640 abstract "As defined by the Medicare Prescription Drug, Improvement, and Modernization Act of 2003, medication therapy management programs (MTMPs) must be designed to decrease adverse drug events and improve patient outcomes by promoting appropriate medication use. WellPoint Inc. contracted with the pharmacist-run University of Arizona College of Pharmacy Medication Management Center (UA MMC) to provide a pilot telephone-based MTMP to approximately 5,000 high-risk beneficiaries from among its nearly 2 million Medicare prescription drug plan (PDP) beneficiaries. Eligibility for the program was determined by a minimum of 2 of 6 chronic diseases (dyslipidemia, cardiovascular disease, depression, diabetes mellitus, congestive heart failure, and chronic obstructive pulmonary disease; at least 1 of the latter 2 diseases must be present), at least 3 Part-D covered medications, and greater than $4,000 per year in predicted drug spending. In addition to these criteria, WellPoint Inc. used the Johns Hopkins adjusted clinical groups (ACG) predictive model to identify the high-risk beneficiaries to be enrolled in the program. Medication therapy reviews were conducted for these patients. If any medication-related problems (MRPs) were identified, the patient's prescribers were contacted via a fax communication with recommendation(s) to resolve these MRPs. The UA MMC fax interventions were categorized as cost saving, guideline adherence, or safety concerns.To (a) determine prescriber responses to pharmacist-initiated recommendations in an MTMP for the 3 intervention categories, (b) compare prescriber responses between intervention categories, and (c) compare prescriber response by prescriber type (primary care physician [PCP] vs. specialist) within each intervention category.A retrospective analysis of pharmacist-initiated interventions from August through December 2008 was performed using data collected from the UA MMC database. Data were collected on intervention category (cost saving, guideline adherence, or safety concerns), and responses of prescribers were recorded as either approval or decline (no response was considered decline). Prescriber specialty was identified from searching records of state medical boards. Logistic regression analyses with the robust variance option to adjust for correlation within prescribers were conducted to compare prescriber approval rates between and within intervention categories. Significance was assessed at alpha 0.05.Of 4,967 Medicare Part D beneficiaries determined to be MTMP-eligible, 4,277 beneficiaries (86.1%) were available for assessment (400 declined, 186 disenrolled, and 104 were deceased). Pharmacists initiated 1,548 valid medication recommendations (i.e., recommendations were excluded for deceased patients, incorrect prescribers, and where prescriber specialty was not identified). These recommendations for 1,174 beneficiaries (27.5% of those available) were faxed to prescribers requesting approval. Mean (SD) age for beneficiaries having recommendations was 72.9 (9.4) years, and the majority (57.6%) was female. By category of recommendation, 58.3% (n=902) were guideline adherence, 33.3% (n=515) were cost saving, and 8.5% (n=131) were safety concerns. Prescriber approval rates were 47.2% overall (n =731/1,548), 41.4% (n=373/902) for guideline adherence, 58.3% (n=300/515) for cost savings, and 44.3% (n=58/131) for safety concerns; 817 recommendations were not approved by prescribers (n= 255 [16.5%] denials and 562 no response [36.3%]). Prescriber approval was significantly higher for cost-saving interventions compared with guideline adherence interventions (odds ratio [OR]=1.98, 95% CI=1.56-2.51, P< 0.001) and compared with safety interventions (OR=1.76, 95% CI=1.19, 2.59, P=0.004); there was no significant difference in the prescriber approval rates for the interventions for safety versus guideline adherence. The overall approval rate was higher for PCPs (49.8%, n=525/1,054) versus specialists (41.7%, n=206/494; OR=1.39, 95% CI=1.08-1.78, P=0.011) and for the category for guideline adherence interventions (44.0% for PCPs vs. 35.9% for specialists; OR =1.40, 95% CI=1.01-1.95, P=0.044), but not for the other 2 intervention categories.Prescriber approval rates for pharmacist recommendations for drug therapy changes for MTMP beneficiaries were approximately 47% overall and higher for recommendations that involved cost savings compared with recommendations for safety concerns or guideline adherence. Compared with specialists, PCPs had higher approval rates for pharmacist recommendations overall and for the intervention category guideline adherence." @default.
• W168687640 created "2016-06-24" @default.
• W168687640 creator A5027275031 @default.
• W168687640 creator A5032713038 @default.
• W168687640 creator A5055064390 @default.
• W168687640 creator A5068612744 @default.
• W168687640 date "2011-06-01" @default.
• W168687640 modified "2023-09-27" @default.
• W168687640 title "Evaluation of Prescriber Responses to Pharmacist Recommendations Communicated by Fax in a Medication Therapy Management Program (MTMP)" @default.
• W168687640 cites W1493104868 @default.
• W168687640 cites W1984458266 @default.
• W168687640 cites W1984972420 @default.
• W168687640 cites W1990482881 @default.
• W168687640 cites W2041561640 @default.
• W168687640 cites W2045129699 @default.
• W168687640 cites W2045199373 @default.
• W168687640 cites W2059072061 @default.
• W168687640 cites W2060834159 @default.
• W168687640 cites W2080470400 @default.
• W168687640 cites W2085452823 @default.
• W168687640 cites W2086214805 @default.
• W168687640 cites W2089305846 @default.
• W168687640 cites W2099384137 @default.
• W168687640 cites W2100442641 @default.
• W168687640 cites W2103693309 @default.
• W168687640 cites W2108300523 @default.
• W168687640 cites W2110922423 @default.
• W168687640 cites W2112908199 @default.
• W168687640 cites W2116099128 @default.
• W168687640 cites W2123032950 @default.
• W168687640 cites W2128501592 @default.
• W168687640 cites W2136636673 @default.
• W168687640 cites W2141701494 @default.
• W168687640 cites W2148164434 @default.
• W168687640 cites W2156023253 @default.
• W168687640 cites W2157368551 @default.
• W168687640 cites W2163302849 @default.
• W168687640 cites W2168427527 @default.
• W168687640 cites W2183067435 @default.
• W168687640 cites W2184050271 @default.
• W168687640 cites W2184558748 @default.
• W168687640 cites W2407373417 @default.
• W168687640 cites W2416452137 @default.
• W168687640 cites W3122492140 @default.
• W168687640 cites W808175639 @default.
• W168687640 cites W2065176229 @default.
• W168687640 doi "https://doi.org/10.18553/jmcp.2011.17.5.345" @default.
• W168687640 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5013826" @default.
• W168687640 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/21657804" @default.
• W168687640 hasPublicationYear "2011" @default.
• W168687640 type Work @default.
• W168687640 sameAs 168687640 @default.
• W168687640 citedByCount "46" @default.
• W168687640 countsByYear W1686876402013 @default.
• W168687640 countsByYear W1686876402015 @default.
• W168687640 countsByYear W1686876402016 @default.
• W168687640 countsByYear W1686876402017 @default.
• W168687640 countsByYear W1686876402018 @default.
• W168687640 countsByYear W1686876402019 @default.
• W168687640 countsByYear W1686876402020 @default.
• W168687640 countsByYear W1686876402021 @default.
• W168687640 countsByYear W1686876402022 @default.
• W168687640 countsByYear W1686876402023 @default.
• W168687640 crossrefType "journal-article" @default.
• W168687640 hasAuthorship W168687640A5027275031 @default.
• W168687640 hasAuthorship W168687640A5032713038 @default.
• W168687640 hasAuthorship W168687640A5055064390 @default.
• W168687640 hasAuthorship W168687640A5068612744 @default.
• W168687640 hasBestOaLocation W1686876401 @default.
• W168687640 hasConcept C10446079 @default.
• W168687640 hasConcept C104863432 @default.
• W168687640 hasConcept C126322002 @default.
• W168687640 hasConcept C134018914 @default.
• W168687640 hasConcept C142724271 @default.
• W168687640 hasConcept C159110408 @default.
• W168687640 hasConcept C194828623 @default.
• W168687640 hasConcept C197934379 @default.
• W168687640 hasConcept C2426938 @default.
• W168687640 hasConcept C27415008 @default.
• W168687640 hasConcept C2776291444 @default.
• W168687640 hasConcept C2778858636 @default.
• W168687640 hasConcept C2779134260 @default.
• W168687640 hasConcept C2779457091 @default.
• W168687640 hasConcept C2779734285 @default.
• W168687640 hasConcept C2780182762 @default.
• W168687640 hasConcept C2780665704 @default.
• W168687640 hasConcept C2780670349 @default.
• W168687640 hasConcept C2982889124 @default.
• W168687640 hasConcept C512399662 @default.
• W168687640 hasConcept C555293320 @default.
• W168687640 hasConcept C71924100 @default.
• W168687640 hasConceptScore W168687640C10446079 @default.
• W168687640 hasConceptScore W168687640C104863432 @default.
• W168687640 hasConceptScore W168687640C126322002 @default.
• W168687640 hasConceptScore W168687640C134018914 @default.
• W168687640 hasConceptScore W168687640C142724271 @default.
• W168687640 hasConceptScore W168687640C159110408 @default.
• W168687640 hasConceptScore W168687640C194828623 @default.

• next