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BACKGROUND: A medication safety review (MSR) is a novel, pharmacist-driven, technology-supported intervention that prioritizes adverse drug event risk mitigation. Previous research has shown that Medicare Part D beneficiaries who received MSRs in an enhanced medication therapy management (EMTM) model realized improvements in total Medicare spending, hospitalizations, emergency department (ED) visits, and mortality compared to control. However, it is unknown whether beneficiaries implemented pharmacists' MSR recommendations. OBJECTIVE: The objective of the study was to evaluate whether MSR recommendation implementation is associated with improvements in these same outcomes for Part D beneficiaries enrolled in EMTM compared to a control group. METHODS: This retrospective, pre-post, cohort study evaluated outcomes for beneficiaries who were targeted for MSR services in 2018 and 2019. The "validated implementation MSR (viMSR)" cohort included those who received their first-ever MSR in 2018, received another MSR in 2019, and validated implementation of ≥1 recommendation in their 2018 MSR. The "failed to engage" (FTE) cohort included beneficiaries who were targeted for MSR services in both 2018 and 2019 but did not engage in an MSR at any point through the end of 2019. For both cohorts, we calculated the 2018-to-2019 change for each outcome and then determined whether year-over-year changes differed significantly between cohorts. For mortality, we relaxed the requirement for continuous enrollment in 2019, permitting us to compare the proportion of beneficiaries that died in each group in 2019. Analyses were adjusted for baseline multimorbidity. RESULTS: Of 4384 beneficiaries who completed MSRs, 602 (13.7%) implemented ≥1 recommendation. The viMSR cohort (N = 602) outperformed the FTE cohort (N = 7052) in total Medicare costs ($2162/y lower; P = 0.020), Part A Medicare costs ($1855/y; P = 0.024), hospitalizations (9.1 fewer admissions/100 beneficiaries/y, P = 0.020), ED visits (10.8 fewer visits/100 beneficiaries/y, P = 0.014), and mortality (3.8% fewer died in 2019; P < 0.001). CONCLUSION: Implementing pharmacists' recommendations in MSRs was associated with improved health care resource utilization and mortality for MSR-eligible beneficiaries.

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BACKGROUND: Given associations with serious cognitive and physical adverse effects (e.g., dementia, falls), strong anticholinergics, like urinary antimuscarinics (UAMs), should be avoided in older adults. This feasibility study aimed to (1) evaluate the implementation rate of pharmacists' recommendations intended to de-escalate UAMs, (2) quantify the change in overall anticholinergic dosing exposure from these recommendations, and (3) investigate factors that predict recommendation implementation. METHODS: This was a retrospective, observational, before-and-after study. Pharmacists (n = 18) devised strategies to de-escalate UAMs in 187 participants (mean age 72.4 ± 9.4; 77.0% female; mean number of medications 12.9 ± 4.6) of 35 Programs of All-Inclusive Care for the Elderly (PACE). PACE prescribers (non-physicians and physicians) determined whether to implement recommendations. Implementation was defined as a change in the prescription records consistent with the pharmacist's recommendation at 2-, 4-, 6-, and 9-months post-recommendation. Anticholinergic dosing exposure was measured at each time point using standardized daily doses (SDD). Multivariable logistic regression was used to identify factors that predicted recommendation implementation. RESULTS: Across 9 months, recommendations were implemented in 118 out of 187 participants, yielding a 63.1% implementation rate. Of these, 77.1% (n = 91/118) implemented by month 2. Implementers' mean overall anticholinergic SDD decreased 65.4% from baseline (baseline: 2.6 [95% CI: 2.2, 3.0] to month 9: 0.9 [95% CI: 0.6,1.2], p < 0.001) whereas non-implementers demonstrated no significant change (p = 0.52). Taking <10 baseline medications (OR 2.75; 95% CI: 1.09, 7.61); baseline UAM SDD ≥2 (OR 2.20; 95% CI: 1.11, 4.44); uncomplicated recommendations (OR 3.38; 95% CI: 1.67-7.03); and baseline calcium channel blocker use (OR 2.19; 95% CI: 1.09, 4.52) predicted implementation. CONCLUSION: Our high implementation rate indicates that pharmacists' recommendations to de-escalate UAMs as a way to reduce overall anticholinergic exposure is feasible in medically complex, community-dwelling older adults. Future research should investigate whether these recommendations benefit cognitive (e.g., delirium, dementia) and/or physical functioning (e.g., falls).

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Polypharmacy is a common phenomenon among adults using opioids, which may influence the frequency, severity, and complexity of drug-drug interactions (DDIs) experienced. Clinicians must be able to easily identify and resolve DDIs since opioid-related DDIs are common and can be life-threatening. Given that clinicians often rely on technological aids-such as clinical decision support systems (CDSS) and drug interaction software-to identify and resolve DDIs in patients with complex drug regimens, this narrative review provides an appraisal of the performance of existing technologies. Opioid-specific CDSS have several system- and content-related limitations that need to be overcome. Specifically, we found that these CDSS often analyze DDIs in a pairwise manner, do not account for relevant pharmacogenomic results, and do not integrate well with electronic health records. In the context of polypharmacy, existing systems may encourage inadvertent serious alert dismissal due to the generation of multiple incoherent alerts. Future technological systems should minimize alert fatigue, limit manual input, allow for simultaneous multidrug interaction assessments, incorporate pharmacogenomic data, conduct iterative risk simulations, and integrate seamlessly with normal workflow.

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Preventable adverse drug events (ADEs) represent a significant public health challenge for the older adult population, since they are associated with higher medical expenditures and more hospitalizations and emergency department (ED) visits. This study examines whether a novel medication risk prediction tool, the MedWise Risk Score™ (MRS), is associated with ADEs and other pertinent outcomes in participants of the Programs of All-Inclusive Care for the Elderly (PACE). Unlike other risk predictors, this tool produces actionable information that pharmacists can easily use to reduce ADE risk. This was a retrospective cross-sectional study that analyzed administrative medical claims data of 1965 PACE participants in 2018. To detect ADEs, we identified all claims that had ADE-related International Classification of Diseases and Health Related Problems, 10th revision (ICD-10) codes. Using logistic and linear regression models, we examined the association between the MRS and a variety of outcomes, including the number of PACE participants with an ADE, total medical expenditures, ED visits, hospitalizations, and hospital length of stay. We found significant associations for every outcome. Specifically, every point increase in the MRS corresponded to an 8.6% increase in the odds of having one or more ADEs per year (OR = 1.086, 95% CI: 1.060, 1.113), $1037 USD in additional annual medical spending (adjusted R2 of 0.739; p < 0.001), 3.2 additional ED visits per 100 participants per year (adjusted R2 of 0.568; p < 0.001), and 2.1 additional hospitalizations per 100 participants per year (adjusted R2 of 0.804; p < 0.001). Therefore, the MRS can risk stratify PACE participants and predict a host of important and relevant outcomes pertaining to medication-related morbidity.

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Treatment of behavioral and psychological symptoms of dementia (BPSD) and comorbidities often necessitates the concomitant use of antipsychotics and non-antipsychotic drugs, thereby potentiating the risk for drug-drug interactions (DDIs).The primary objective of our study was to identify potentially clinically relevant cytochrome P450 (CYP)-mediated DDIs involving antipsychotics among participants enrolled in the Program of All-Inclusive Care for the Elderly (PACE) with BPSD. Additionally, we wanted to determine the prevalence of antipsychotic use in this population. The study included 10,001 PACE participants. The practice setting used a proprietary clinical decision support system (CDSS) to analyze simultaneous multidrug interactions. A retrospective analysis of pharmacy claims data was conducted to identify DDIs involving antipsychotics prescribed for BPSD, using snapshots of medication profiles paired with the CDSS. Of the participants who met inclusion criteria, 1190 (11.9%) were prescribed an antipsychotic; of those, 1071 (90.0%) were prescribed an atypical antipsychotic. Aripiprazole commonly caused (being a perpetrator drug 94.6% of the time) potential DDIs with antidepressants (e.g., duloxetine, venlafaxine, mirtazapine), opioids (e.g., hydrocodone, oxycodone, tramadol) and metoprolol via the CYP2D6 isoform. Risperidone commonly caused (85.7%) potential DDIs with donepezil, lamotrigine and trazodone via the CYP3A4 isoform. Quetiapine exclusively suffered (100%) from potential DDIs with amlodipine, buspirone, omeprazole or topiramate via the CYP3A4 isoform. Antipsychotics are commonly prescribed to PACE participants for BPSD treatment and they may interact with other drugs used to treat comorbidities. A thorough review of concomitant medications will help mitigate the likelihood of potentially dangerous CYP-mediated DDIs involving antipsychotics.

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Little is known about the types of drug information inquiries (DIIs) prescribers caring for older adults ask pharmacists during routine practice. The objective of this research was to analyze the types of DIIs prescribing clinicians of Programs of All-Inclusive Care for the Elderly (PACE) made to clinical pharmacists during routine patient care. This was a retrospective analysis of documented pharmacists' encounters with PACE prescribers between March through December, 2018. DIIs were classified using a developed taxonomy that describes prescribers' motivations for consulting with pharmacists and their drug information needs. Prescribers made 414 DIIs during the study period. Medication safety concerns motivated the majority of prescribers' inquiries (223, 53.9%). Inquiries received frequently involved modifying drug therapy (94, 22.7%), identifying or resolving adverse drug events (75, 18.1%), selecting or adjusting doses (61, 14.7%), selecting new drug therapies (57, 13.8%), and identifying or resolving drug interactions (52, 12.6%). Central nervous system medications (e.g., antidepressants and opioids), were involved in 38.6% (n = 160) of all DIIs. When answering DIIs, pharmacists made 389 recommendations. Start alternative medications (18.0%), start new medications (16.7%), and change doses (12.1%) were the most frequent recommendations rendered. Prescribers implemented at least 79.3% (n = 268) of recommendations based on pharmacy records (n = 338 verifiable recommendations). During clinical practice, PACE prescribers commonly ask pharmacists a variety of DIIs, largely related to medication safety concerns. In response to these DIIs, pharmacists provide medication management recommendations, which are largely implemented by prescribers.

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OBJECTIVE: To evaluate pharmacist-encountered medication-related problems (MRPs) among the participants of the Program of All-Inclusive Care for the Elderly (PACE). DESIGN: This was a retrospective analysis of proprietary pharmacy records detailing pharmacist encounters with PACE clinical staff. SETTING AND PARTICIPANTS: A national provider of pharmacy services to more than 75 PACE organizations. In total, 1057 PACE participants at 69 PACE sites across the United States with documented pharmacist encounters between March and May 2018. OUTCOME MEASURES: MRPs were classified using the Hepler-Strand taxonomy, and pharmacists' recommendations made to prescribers to resolve these MRPs were classified using a modified Hoth taxonomy. In addition, pharmacists' communication methods and prescribers' responses were analyzed. RESULTS: Overall, 2004 MRPs were encountered. The most frequent MRPs identified were related to medication safety concerns, including drug interactions (720, 35.9%), adverse drug reactions (ADRs, 356, 17.8%), high doses (270, 13.5%), and unindicated drugs (252, 12.6%). Drug interactions frequently involved competitive inhibition, 3 or more drugs, opioids, anticoagulants, antiplatelets, and antidepressants. Deprescribe medication (561, 24.8%), start alternative therapy (553, 24.4%), change doses (457, 20.2%), and monitor (243, 10.7%) were the top 4 types of recommendations made by pharmacists. Among 1730 responses obtained from PACE prescribers, 78.1% (n = 1351) of pharmacists' recommendations were accepted. Compared with electronic communication, telephonic communication was associated with more acceptance and less prescriber nonresponse (χ2 = 78.5, P < 0.001). CONCLUSION: Pharmacists identified a substantial number of MRPs in PACE, especially those related to medication safety such as drug interactions and ADRs. In this practice setting, significant collaboration occured between pharmacists and PACE prescribers, as evidenced by the rate of prescribers' acceptance of pharmacists' recommendations. Further research is needed to fully evaluate the economic, clinical, and humanistic outcomes associated with pharmacists' encounters in PACE.

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