Immunosuppression medication adherence after allogeneic hematopoietic stem cell transplant: Impact of a specialized clinical pharmacy program

Abstract

This study aims to evaluate the impact of implementing a specialized clinical pharmacy program in patients with allogeneic hematopoietic stem cell transplant (HSCT) on their adherence to the immunosuppression treatment after discharge. A prospective open interventional design using a retrospective control group was used. The intervention was based on pharmaceutical consultations: the first was performed the day before discharge of HSCT unit and the next consultations during day-care follow-up (weeks 2 and 4 after discharge). Proactive medication reconciliation was implemented with a complete list of medications before the discharge prescription. The discharge prescription summarized on a personalized drug schedule was explained to the patient. The importance of optimal adherence and the potential problems related to self-medication were explained to the patient. Immunosuppression drug adherence was assessed by a direct method using serum levels of calcineurin inhibitors. The potential impact on acute GvHD, and infection was investigated. Twenty-six patients were included in the specialized clinical pharmacy program and 35 patients were in the control group. Seventy-nine pharmaceutical consultations were conducted in the intervention group, lasting a mean 25 min and 16 min for the first and following consultations, respectively. Serum levels in the therapeutic target range were higher in the intervention group (61.5% versus 53.0%, p = 0.07), with greater intra-individual variation (p = 0.005). There was no significant intergroup difference in acute GvHD (53.8% versus 50.3%, p = 0.85) or infection (26.9 versus 22.8%, p = 0.72). The implementation of a specialized clinical pharmacy program for patients who have received allogeneic HSCT seems to be beneficial for immunosuppression drug adherence; this now needs to be confirmed in a multicenter study involving a larger number of patients.