BackgroundPharmaceutical interventions are a key strategy to ensure proper drug prescription and the effectiveness and safety of any treatment.PurposeTo study the pharmaceutical interventions made in hospitalised patients between 2010 and 2015.Material and methodsAnalysis of the interventions was derived from a retrospective observational study between 2010 and 2015 in hospitalised patients. Type of pharmaceutical intervention, resolution of the intervention and data on treatment were collected and analysed using a sheet developed for this purpose, and using an Access database.Results23 232 pharmaceutical interventions were reported. The most common were: change of other drug included in hospital pharmacotherapeutic guide 50.85%, change of proposed dose 30.67%, administration error 3.5%, possible adverse events 2.95%, interactions 2.4%, monitoring recommendation 1.5% change and other 8.13%. Resolution of the recommendations were: accepted 43.19%, home medication (provided by the patient) 26.81%, no evaluation due to insufficient information 24.76% and rejected 5.24%. The therapeutic groups involved were mainly the following: group C (cardiovascular) 29.78%, group N (neurological) 25.06%, group B (blood and haematopoietic organs, particularly heparins) 9.43%, group J (anti-infectives) 9.18% and group A (gastrointestinal and metabolic) 6.45%.ConclusionThe most common interventions were change of other drug included in the hospital pharmacotherapeutic guide and change of proposed dose. The percentage of interventions rejected was very low. The most common therapeutic groups were cardiovascular and neurologic.References and/or AcknowledgementsOverhage JM, Lukes A. Practical, reliable, comprehensive method for characterizing pharmacists clinical activities. Am J Health Syst Pharm 1999;56:2444-50Bates DW, Cullen DJ, Laird N, et al. Incidence of adverse drug events and potential adverse drug events. Implications for prevention. JAMA 1995;274:29-34No conflict of interest.

BackgroundManual replacement of drugs in semi-automatic storage and dispensing systems takes long time for the pharmacy auxiliary staff, particularly for drugs that need some manipulation before their replacement.PurposeTo achieve a reduction in the time required for replacement of drugs in the semi-automatic storage system, Kardex.Material and methodsAssessment and improvement study of the number of daily drugs to replace in Kardex.Assessment phase: for 26 days, it was decided to evaluate those drugs whose real stock was less than the minimum preset in Kardex. We also analysed whether any of these drugs were involved in any process related to repackaging or division.We implemented an intervention to optimise the stocks of all drugs in Kardex.Improvement phase: following the methodology of the evaluation phase, for 26 days after the intervention, we analysed the number of drugs to replace and whether they needed any process related to repackaging or division.ResultsThe maximum and minimum stocks of 550 different drugs were optimised.Before the intervention, the number of drugs to replace was 1401 (53.8 daily drugs). After the intervention the number of drugs decreased to 1313 (50.4 daily drugs).The number of drugs that needed any process related to repackaging or division before their replacement was 685 vs. 575 after the intervention (26.4 vs 22.1 daily drugs). These types of drugs take the most time because they have to be cut, repackaged and bagged.Time saving was difficult to calculate because it depended on the drug and the stock. It was estimated that the pharmacy auxiliary staff took between 3 and 8 min to replace each different drug. Total time saving was between 10.2 and 27.2 min daily to replace all drugs.ConclusionReviewing and updating the stocks reduced the number of drugs that pharmacy auxiliary staff had to replace in Kardex and therefore optimised the replacement time and their workload.Drugs that must be manipulated before their replacement showed further reduction which involved more time saving.The results showed the importance of optimising the stocks in the pharmacy store.References and/or AcknowledgementsJuvany-Roig R. Optimización de la calidad del proceso de dispensación de medicamentos en dosis unitaria mediante la implantación del sistema semiautomático Kardex. Farm Hosp 2006;31:38-42No conflict of interest.

unused doses of medication. The data was collected by the Discover program and was analysed with GraphPad Prism. Results The media of patients in UDDDS per month was 251.1±19.09 and 245±20.90, with a total of 14 870 and 17 779 validated prescriptions in 2017 and 2018 respectively. The percentage of validated prescriptions before 3 pm was 71.79% in 2017 (PCC) in comparison with 86.95% in 2018 (AEP), supposing an increase of about 15.18%. The percentage of the returns of unused medication doses was 20.26±) 0.83 in 2017 versus 20.21±0.48 in 2018, not showing significant differences between the years of comparison. Conclusion Our results show a significant increase in the percentage of validation in the optimal schedule after the implementation of AEP despite the small increase in activity. Assuming that the remaining 12%-13% of the prescriptions correspond to changes in the treatment and hospital admissions during the afternoon and night, we consider we satisfied the purpose of the study. The parameter of the returns of unused medication doses, however, show the need for continuing the evaluation of the procedures in order to obtain a greater effectiveness. REFERENCES AND/OR ACKNOWLEDGEMENTSNo conflict of interest.