Literature DB >> 29180545

Implementation of a Standardized Medication Therapy Management Plus Approach within Primary Care.

Emily J Schwartz1, Jacques Turgeon1, Jay Patel1, Parag Patel1, Hetal Shah1, Amalia M Issa1, Orsula V Knowlton1, Calvin H Knowlton1, Kevin T Bain2.   

Abstract

PURPOSE: The purpose of this study was to implement a clinical pharmacist-led medication therapy management (MTM) service within a primary-care setting that is enhanced by 1) a clinical decision support system (CDSS) that includes a unique combination of medication risk mitigation factors, which aids the pharmacist in interpreting the medication profile, and 2) pharmacogenomics (PGx) testing.
METHODS: This was a service implementation study, whereby Medicare beneficiaries were eligible if they were patients of Elmwood Family Physicians, a private family, primary care practice with 2 locations in New Jersey, and were on at least 7 medications. Patients had a medication reconciliation completed by a pharmacist and performed a PGx buccal swab. Patient information was run through a CDSS to aid the pharmacist with screening for multidrug interactions and assessing patient's medication-related risks. The output of the CDSS was used to create recommendations and provide a consult to the physicians. Recommendations were followed up by return of the consult.
RESULTS: Enrolled patients used a mean (± standard deviation) of 12.1 (± 4.6) medications. The turnaround time for the MTM Plus consults was 11.7 (± 6.2) days. During the consults, the pharmacist identified 138 medication-related problems (MRPs). The most common MRPs were drug-drug interactions (29.0%) and drug-gene interactions (DGIs; 24.6%).
CONCLUSION: Implementing a clinical pharmacist-led MTM Plus service in the primary care setting is feasible. This study highlights that DGIs are common in older adults in family practice and indicates that PGx testing identifies additional MRPs that may otherwise go unnoticed in these patients. The experiences we shared can aid other clinicians in establishing successful MTM Plus services. Future studies should also measure the impact of such personalized medicine services on economic, clinical, and humanistic outcomes. This study has been registered with ClinicalTrials.gov (study No. NCT02748148). © Copyright 2017 by the American Board of Family Medicine.

Entities:  

Keywords:  Genomics; Geriatrics; Medicare; Medication Therapy Management; Pharmacists; Pharmacogenomic Analysis; Pharmacology; Primary Health Care

Mesh:

Year:  2017        PMID: 29180545     DOI: 10.3122/jabfm.2017.06.170145

Source DB:  PubMed          Journal:  J Am Board Fam Med        ISSN: 1557-2625            Impact factor:   2.657


  5 in total

1.  Assessment of the clinical utility of pharmacogenetic guidance in a comprehensive medication management service.

Authors:  Idaliz Rodríguez-Escudero; Julio A Cedeño; Ileana Rodríguez-Nazario; Gledys Reynaldo-Fernández; Leyanis Rodríguez-Vera; Niretzy Morales; Braulio Jiménez-Vélez; Gualberto Ruaño; Jorge Duconge
Journal:  J Am Coll Clin Pharm       Date:  2020-05-02

Review 2.  Clinical implementation of drug metabolizing gene-based therapeutic interventions worldwide.

Authors:  Evangelia Eirini Tsermpini; Zeina N Al-Mahayri; Bassam R Ali; George P Patrinos
Journal:  Hum Genet       Date:  2021-10-01       Impact factor: 4.132

Review 3.  A Scoping Review of Medications Studied in Pediatric Polypharmacy Research.

Authors:  Alexis E Horace; Negar Golchin; Elia M Pestana Knight; Neal V Dawson; Xuan Ma; James A Feinstein; Hannah K Johnson; Lawrence Kleinman; Paul M Bakaki
Journal:  Paediatr Drugs       Date:  2020-02       Impact factor: 3.022

4.  Interventions for improving medication-taking ability and adherence in older adults prescribed multiple medications.

Authors:  Amanda J Cross; Rohan A Elliott; Kate Petrie; Lisha Kuruvilla; Johnson George
Journal:  Cochrane Database Syst Rev       Date:  2020-05-08

Review 5.  Pharmacogenomic testing to support prescribing in primary care: a structured review of implementation models.

Authors:  Judith Hayward; John McDermott; Nadeem Qureshi; William Newman
Journal:  Pharmacogenomics       Date:  2021-09-01       Impact factor: 2.533

  5 in total

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