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Research ArticleOriginal Research

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

Emily J. Schwartz, Jacques Turgeon, Jay Patel, Parag Patel, Hetal Shah, Amalia M. Issa, Orsula V. Knowlton, Calvin H. Knowlton and Kevin T. Bain
The Journal of the American Board of Family Medicine November 2017, 30 (6) 701-714; DOI: https://doi.org/10.3122/jabfm.2017.06.170145
Emily J. Schwartz
From Tabula Rasa HealthCare, Moorestown, NJ (EJS, JT, OVK, CHK, KTB); Elmwood Family Physicians, Evesham Township, NJ (JP, PP, HS); Personalized Medicine & Targeted Therapeutics, University of the Sciences, Philadelphia, PA (AMI).
PharmD
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Jacques Turgeon
From Tabula Rasa HealthCare, Moorestown, NJ (EJS, JT, OVK, CHK, KTB); Elmwood Family Physicians, Evesham Township, NJ (JP, PP, HS); Personalized Medicine & Targeted Therapeutics, University of the Sciences, Philadelphia, PA (AMI).
BScPharm, PhD
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Jay Patel
From Tabula Rasa HealthCare, Moorestown, NJ (EJS, JT, OVK, CHK, KTB); Elmwood Family Physicians, Evesham Township, NJ (JP, PP, HS); Personalized Medicine & Targeted Therapeutics, University of the Sciences, Philadelphia, PA (AMI).
BScPharm, MD
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Parag Patel
From Tabula Rasa HealthCare, Moorestown, NJ (EJS, JT, OVK, CHK, KTB); Elmwood Family Physicians, Evesham Township, NJ (JP, PP, HS); Personalized Medicine & Targeted Therapeutics, University of the Sciences, Philadelphia, PA (AMI).
BScPharm, MD
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Hetal Shah
From Tabula Rasa HealthCare, Moorestown, NJ (EJS, JT, OVK, CHK, KTB); Elmwood Family Physicians, Evesham Township, NJ (JP, PP, HS); Personalized Medicine & Targeted Therapeutics, University of the Sciences, Philadelphia, PA (AMI).
BScPharm, MD
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Amalia M. Issa
From Tabula Rasa HealthCare, Moorestown, NJ (EJS, JT, OVK, CHK, KTB); Elmwood Family Physicians, Evesham Township, NJ (JP, PP, HS); Personalized Medicine & Targeted Therapeutics, University of the Sciences, Philadelphia, PA (AMI).
PhD, MPH
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Orsula V. Knowlton
From Tabula Rasa HealthCare, Moorestown, NJ (EJS, JT, OVK, CHK, KTB); Elmwood Family Physicians, Evesham Township, NJ (JP, PP, HS); Personalized Medicine & Targeted Therapeutics, University of the Sciences, Philadelphia, PA (AMI).
PharmD, MBA
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Calvin H. Knowlton
From Tabula Rasa HealthCare, Moorestown, NJ (EJS, JT, OVK, CHK, KTB); Elmwood Family Physicians, Evesham Township, NJ (JP, PP, HS); Personalized Medicine & Targeted Therapeutics, University of the Sciences, Philadelphia, PA (AMI).
BScPharm, MDiv, PhD
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Kevin T. Bain
From Tabula Rasa HealthCare, Moorestown, NJ (EJS, JT, OVK, CHK, KTB); Elmwood Family Physicians, Evesham Township, NJ (JP, PP, HS); Personalized Medicine & Targeted Therapeutics, University of the Sciences, Philadelphia, PA (AMI).
PharmD, MPH
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  • Article
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    Figure 1.

    Flowchart of patient eligibility and enrollment process. In March 2016, the onsite research pharmacist reviewed 626 patient charts to determine eligibility for enrollment in the study. Among patients screened, 185 met inclusion criteria. However, approximately 50% of the time, either the pharmacist or patient was not available for informed consent. Among the 92 remaining eligible patients, 42 were excluded from enrollment in the study for various reasons. A total of 50 patients were enrolled and received medication therapy management (MTM) Plus services led by the pharmacist.

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    Figure 2.

    Medication Therapy Management (MTM) Plus process workflow. The MTM Plus process workflow employed the following steps: 1) evaluated medication utilization by performing medication reconciliation and assessing medication adherence; 2) performed PGx test by conducting informed consent specifically for the test, observing patient perform buccal swab for PGx test, and sending PGx test to laboratory with deidentified research number; 3) obtained additional patient-specific information from the EHR to inform the consult and documented this information into a secure, HIPAA-compliant form; 4) obtained PGx test results and matched them up to patient deidentified research number; 5) conducted consult, which was informed by clinical decision support data and PGx test results, and reviewed recommendations with a subgroup of a personalized medicine committee; and 6) shared consult, including PGx test results, with PCP. Abbreviations: EHR, electronic health record; MTM, medication therapy management; PCP, primary care physician; PGx, pharmacogenomics.

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    Figure 3.

    Types of medication-related problems identified by the pharmacist (N = 138). While performing consults, the pharmacist identified a total of 138 MRPs for the 50 patients enrolled onto the study. The most common types of MRPs identified were drug-drug interactions (29.0%), such as competitive inhibition involving 2 drugs (eg, metoprolol interfering with oxycodone activation) and multi-drug combination (eg, metoprolol and atorvastatin interfering with mirtazapine clearance), and DGIs (24.6%), such as inability to activate clopidogrel to its active metabolite and poor statin uptake into the liver. Abbreviations: ADR, adverse drug reaction; DGI, drug-gene interaction; MTM, medication therapy management; MRP, medication-related problem.

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    Figure 4.

    Types of recommendations made by the pharmacist (N = 138) and physician acceptance rates. For each MRP identified (N = 138) as part of the consult, the pharmacist made a recommendation for the PCP to resolve the MRP. The most frequent types of recommendations made were to monitor the patient (n = 38; 27.5%) and start alternative therapy (n = 35; 25.4%). Examples of monitoring recommendations included monitor for ADRs from nebivolol due to decreased CYP2D6 isoenzyme activity and monitor for side effects from mirtazapine due to multi-drug competitive inhibition. Examples of recommendations to start alternative therapy included switch clopidogrel to an alternative antiplatelet with a different metabolic pathway (eg, prasugrel or ticagrelor) due to a DGI and decrease dose of simvastatin or switch to an alternative statin (eg, rosuvastatin or pravastatin) due to a DGI. The majority of the pharmacist’s recommendations (90.9%) were accepted (ie, accepted or accepted with changes) by the PCPs. Abbreviations: ADRs, adverse drug reactions; DGI, drug-gene interaction; MTM, medication therapy management; MRP, medication-related problem; PCPs, primary care physicians.

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    Figure 5.

    Phenotype distribution of the genes tested in 50 patients. All 50 patients who underwent PGx testing had at least 1 genetic variant, and the majority (66.0%) had ≥5. Notably, among the genes tested, 36.0% of patients were identified as rapid metabolizers for the CYP2C19 isoenzyme; 40.0% were considered intermediate or poor metabolizers for the CYP2D6 isoenzyme; 30.0% were determined to have reduced activity for the SLCO1B1 transporter; and 50.0% and 14.0%, respectively, were identified as having reduced and significantly reduced VKORC1 activity. (Reduced and significantly reduced refer to intermediate and poor phenotypes respectively as shown in the figure.) *Thrombosis profile included testing the following genes: F2, F5, MTHFR (A1298C), and MTHFR (C677T). Abbreviations: PGx, pharmacogenomics; CYP, Cytochrome P450.

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Tables

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    Table 1.

    Characteristics of Patients Participating in the Study (N = 50)

    CharacteristicsValue
    Demographics
        Age, years, mean (range)69.0 (42.0 to 94.0)
        Sex, n (%)
            Male27 (54.0)
            Female23 (46.0)
        Ethnicity, n (%)
            White or Caucasian42 (84.0)
            Hispanic or Latino2 (4.0)
            Other or unspecified6 (12.0)
        Most frequent diagnoses, n (%)*
            Hyperlipidemia38 (76.0)
            Hypertension38 (76.0)
            Type 2 diabetes mellitus23 (46.0)
            Hypothyroidism16 (32.0)
            Vitamin D deficiency16 (32.0)
            Allergic rhinitis11 (22.0)
            Anxiety10 (20.0)
            Gastroesophageal reflux disorder10 (20.0)
            Major depressive disorder8 (16.0)
            Insomnia7 (14.0)
    Medications
        Number, mean (± SD)†
            Total medications12.1 (± 4.6)
            Chronic medications10.4 (± 4.3)
        Medication risk mitigation–associated factors
            Cognitive burden risk score2.0 (± 1.7)
            Falls risk score5.5 (± 4.0)
            Number of PIMs1.4 (± 1.2)
            Creatinine clearance (mL/min)66.2 (± 20.8)
            Heart rhythm risk score3.6 (± 3.6)
        Most frequently prescribed, n (%)‡
            Aspirin25 (50.0)
            Vitamin D24 (48.0)
            Atorvastatin23 (46.0)
            Levothyroxine17 (34.0)
            Omega-3 fatty acids14 (28.0)
            Amlodipine13 (26.0)
            Esomeprazole11 (22.0)
            Clopidogrel8 (16.0)
            Metoprolol succinate8 (16.0)
            Omeprazole8 (16.0)
    • ↵* As reported in the patient’s chart. Percentage out of total patients included.

    • ↵† As determined by the pharmacist’s medication reconciliation process.

    • ↵‡ As determined by the pharmacist’s medication reconciliation process. Percentage out of total patients included.

    • Abbreviations: PIM, potentially inappropriate medication; SD, standard deviation.

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The Journal of the American Board of Family     Medicine: 30 (6)
The Journal of the American Board of Family Medicine
Vol. 30, Issue 6
November-December 2017
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Implementation of a Standardized Medication Therapy Management Plus Approach within Primary Care
Emily J. Schwartz, Jacques Turgeon, Jay Patel, Parag Patel, Hetal Shah, Amalia M. Issa, Orsula V. Knowlton, Calvin H. Knowlton, Kevin T. Bain
The Journal of the American Board of Family Medicine Nov 2017, 30 (6) 701-714; DOI: 10.3122/jabfm.2017.06.170145

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Implementation of a Standardized Medication Therapy Management Plus Approach within Primary Care
Emily J. Schwartz, Jacques Turgeon, Jay Patel, Parag Patel, Hetal Shah, Amalia M. Issa, Orsula V. Knowlton, Calvin H. Knowlton, Kevin T. Bain
The Journal of the American Board of Family Medicine Nov 2017, 30 (6) 701-714; DOI: 10.3122/jabfm.2017.06.170145
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Keywords

  • Genomics
  • Geriatrics
  • Medicare
  • Medication Therapy Management
  • Pharmacists
  • Pharmacogenomic Analysis
  • Pharmacology
  • Primary Health Care

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