Implementation of a model integrating primary and oncology pharmacists' care for patients taking oral anticancer agents (OAA)

Abstract

Improvements in chronic myeloid leukemia (CML), chronic lymphocytic leukemia (CLL), and multiple myeloma (MM) treatment options have increased the 5-year survival rates for patients with these hematologic malignancies. In addition to cancer management, these patients may need help to manage multiple chronic conditions (MCC). The overall objective of this study is to examine the impact and implementation of a model that coordinates care between oncology and primary care pharmacists for people taking an oral anti-cancer agent (OAAs) and medications for comorbid chronic conditions. This is a multi-center, prospective, single-arm pilot study that will recruit up to 40 patients from Michigan Medicine and Vanderbilt University Medical Center (VUMC). Eligible participants will be 18 years of age or older, prescribed an OAA, have a diagnosis of either CML, CLL or MM, and be diagnosed with and taking medication for at least two specified chronic conditions. The Pharmacists Coordinated Care Oncology Model (PCOM) is a two-month intervention that builds upon current pharmacist clinical responsibilities. Generally, participants will complete a patient-reported outcome measure at 2 and 6 weeks post-OAA initiation that is sent to their oncology pharmacist, and they will also receive a comprehensive medication review at week 4 from a primary care pharmacist for their chronic medications. The pharmacists will communicate about the results via electronic medical record (EMR) and intervene if necessary. The primary endpoints are (1) dose-adjusted OAA proportion of days covered (PDC), and (2) PDC for chronic condition medications. PDCs will be determined via prescription records. The association of OAA and chronic medication PDCs will be quantified via correlation and chi-squared tests. The association between symptom experience and OAA adherence will be examined via correlation analyses. For implementation, characteristics of patient participants, feasibility, acceptability, adoption, fidelity, and trialability will be described. Data will be collected via EMR and pharmacist and patient interviews. Median/IQR for acceptability, adoption and fidelity will be reported, and patient interviews will be analyzed using a grounded theory approach and pharmacist interviews will be analyzed using thematic analyses.