RESUMO
BACKGROUND: The positive impact of pharmaceutical care in improving medication safety is considered proven. Little is known about the economic benefit of clinical pharmaceutical services in Germany. OBJECTIVE: In 2020, a pilot project was started at the Ernst von Bergmann Hospital to introduce ward-based clinical pharmacists in intensive care medicine, also in order to determine the economic benefit of the medication management offered. METHODS: By a team of experienced intensive care physicians and clinical pharmacists on the basis of a consensus principle, each pharmaceutical intervention (PI) was assigned a probability score (Nesbit probability score) with which an adverse drug event (ADE) would have occurred. Assuming that each ADE results in an increased length of stay, the costs of intensive care treatment/day were used as potential savings. The model thereby combines the findings of two international publications to enable an economic analysis of pharmaceutical services. RESULTS: During the study period, 177 pharmaceutical interventions were evaluated and corresponding probability scores for the occurrence of ADE were determined. From this, annual savings of â¯80,000 through avoided costs were calculated. CONCLUSION: In this project, the economic benefit of pharmaceutical services in intensive care medicine was proven. Ward-based clinical pharmacists are now an integral part of the intensive care treatment team at the Ernst von Bergmann Hospital.
RESUMO
OBJECTIVE: Unplanned readmission of hospitalized patients to an ICU is associated with an increased mortality and hospital length of stay. The ability to identify patients at risk, who would benefit from prolonged ICU treatment, is limited. The aim of this study is to validate a previously published numerical index named the Stability and Workload Index for Transfer in a heterogeneous group of ICU patients. DESIGN: In this retrospective data analysis, the Stability and Workload Index for Transfer score was calculated for all patients, and the ability of the score to predict readmission was compared with the original publication. SETTING: Four ICUs, one intermediate care unit, and one postanesthesia care unit of the department of anesthesia and intensive care of a university hospital. PATIENTS: All consecutive patients treated in one of the units. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Unplanned ICU readmissions or unexpected death within 7 days of ICU discharge. The data of 7,175 patients were included in the analysis. Five hundred ninety-six patients were readmitted or died within 7 days of discharge. The patients who are readmitted to the ICU are significantly older and have significantly higher scores that define the severity of disease at the time of admission and discharge of their first ICU stay. The source of admission for the initial ICU stay did not differ (p = 0.055), and the last Glasgow Coma Scale and the last PaO2/FIO2 ratio before discharge from the ICU were higher in patients who did not need a readmission to the ICU. The performance of the Stability and Workload Index for Transfer score is poor with an area under the receiver operator curve of 0.581 (95% CI, 0.556-0.605; p < 0.001). CONCLUSIONS: Based on the data from our patients, the proposed Stability and Workload Index for Transfer score by Gajic et al is not ideal in aiding the clinician in the decision, if a patient can be discharged safely from the ICU and further research is necessary to define the patients at risk for readmission.
