CPC-100 Pharmaceutical Care in Patients Diagnosed with Multiple Myeloma Treated with Lenalidomide

Abstract

Background Multiple myeloma (MM) is a malignant monoclonal gammapathy that occurs mainly in patients over 65 years. Lenalidomide is indicated in combination with dexamethasone for the treatment of MM in patients who have received at least one prior treatment regimen. All this makes it likely the patient will require Pharmaceutical Care (PC). PC consists of collaboration with other health professionals and with the patient to design a safe and effective treatment plan, as well as to identify Drug Related Problems (DRPs) and to resolve and prevent negative outcomes associated with medication (RNMs). Purpose To evaluate the impact of pharmaceutical intervention in patients diagnosed with MM treated with lenalidomide in a pharmacists-led haematological consultation within the Pharmacy Service. Materials and MethodsQuasi-experimental study of 4 months duration on patients diagnosed with MM treated with lenalidomide. Clinical practise follow-up procedures used the Dader method adapted to the study situation. Data were obtained from interviews with patients, electronic medical records and Outpatient Service Pharmacy records. Results During this period, 29 patients were diagnosed with MM and treated with lenalidomide, 21 joined the study (4 didn’t gave consent and 2 weren’t able to visit the pharmacy), 11 women and 10 men. Average age: 70.3 years (52–89). During study a total of 17 DRPs were detected: 4 related to the indication, 1 to the effectiveness and 8 to the safety, and a total of 35 RNMs: 4 related to the need, 5 to the effectiveness and 26 to the safety. Of these 35, 45.7% could have been avoided. A total of 25 pharmaceutical interventions were made: 10 related to the amount of drug, 9 to the pharmacological strategy and 6 to patient education. Conclusions A variety of goals were achieved through pharmaceutical interventions: medicines reconciliation, resolution of health problems by detecting RNMs and avoidance of RNMs by detecting DRPs. No conflict of interest.