RESUMEN
OBJECTIVE: Second-generation antipsychotic therapy can lead to metabolic abnormalities, increasing the risk of cardiovascular disease and death in patients with serious mental illness. However, the literature suggests there is a lack of appropriate monitoring in individuals receiving these therapies. This study aims to evaluate whether the implementation of a pharmacist- and nurse-driven metabolic monitoring protocol will increase monitoring in patients prescribed second-generation antipsychotic therapy in an outpatient community mental health clinic. METHODS: A retrospective review of adult outpatients in a community mental health clinic who were prescribed second-generation antipsychotics was conducted from October 1, 2017, to March 31, 2019. Pre- and postprotocol implementation groups were compared to assess the impact of the protocol on the primary outcome of appropriateness in monitoring for metabolic parameters. RESULTS: A total of 160 patients who met the inclusion criteria were randomly selected and reviewed, allowing for 80 individuals in each group. Improvement in the appropriateness of monitoring was found for 4 of 5 metabolic parameters after protocol implementation, including blood pressure (17.5% to 43.8%, P < 0.001), weight (17.5% to 43.8%, P < 0.001), hemoglobin A1C (27.5% to 42.5%, P = 0.044), and lipid levels (17.5% to 31.3%, P = 0.04). Primary care physicians ordered most of the laboratory values (44.5% to 46.2%); however, pharmacists and nurses ordered 7% of laboratory tests after the protocol implementation. CONCLUSION: Despite the knowledge that second-generation antipsychotic therapies commonly lead to metabolic syndrome and therefore increased cardiovascular disease risk, monitoring for metabolic effects remains poor, and there is a lack in diversity of strategies to improve this monitoring. Although further research on the effectiveness of a pharmacist- and nurse-driven metabolic monitoring protocol in this setting is warranted, this protocol serves as an example of a novel strategy with the potential to improve metabolic monitoring of second-generation antipsychotic therapy.