935 resultados para Farmacia hospitalaria.
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Objetivo: Determinar el valor agregado, identificar los fallos y el modo como ocurren, en los procesos de farmacia de la Fundación Clínica Valle del Lili (FCVL). Método: Se realizó un estudio descriptivo de las actividades de cada proceso en la farmacia de la FCVL, desde diciembre 1 de 1999 hasta diciembre 30 de 2003. En él se definieron procesos, se obtuvo conocimiento de los requerimientos de los grupos de interés o clientes de cada proceso, se documentaron los procesos, se verificaron "tal como son", se hizo un análisis de los pasos del proceso, se definieron los pasos de los procesos con valor agregado, se calculó el valor agregado del tiempo y el costo de los procesos.
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El verso de las h. en blanco.
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Objectives: To develop a procedure for management of off-label medications, and to analyze the treatments, indications, and hospital units which will request them more frequently, as well as which variables will have an impact on the authorization decision, and its economic impact. Methods: A procedure was designed where clinicians would complete request forms and the Hospital Unit would prepare reports assessing their efficacy, safety, convenience, and cost. The request forms for the past five years were analyzed. Results: A total of 834 applications were received, and 88.1% of these were accepted. The authorization rates were higher for Paediatric Units (95.7% vs. 86.6%; p<0.05). The reasons for considering prescriptions as off-label were: different indication (73.2%), different combination (10.2%), different line of treatment (8.6%) and different age (8%). A 73.4% of requests were for antineoplastic drugs, and the most frequently prescribed were rituximab (120) and bevacizumab (103). The quality of evidence supporting the prescriptions was moderate-low, though no direct relationship with the likelihood of approval was demonstrated (p = 0.413). The cost of the approved medications was 8,567,537 , and the theoretical savings for those drugs rejected was of 2,268,642 . There was a statistically significant decrease in the authorization rate (p < 0.05, Student's t test) when spending increased. Conclusions: The responsibility for assessing off-label prescriptions has fallen on the Pharmacy Unit. It has not been demonstrated that the quality of evidence represents a decisive variable for approval of treatment; on the other hand, age and cost have demonstrated a significant impact.
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Objective: To assess the quality of the labels for clinical trial samples through current regulations, and to analyze its potential correlation with the specific characteristics of each sample. Method: A transversal multicenter study where the clinical trial samples from two third level hospitals were analyzed. The eleven items from Directive 2003/94/EC, as well as the name of the clinical trial and the dose on the label cover, were considered variables for labelling quality. The influence of the characteristics of each sample on labelling quality was also analyzed. Outcome: The study included 503 samples from 220 clinical trials. The mean quality of labelling, understood as the proportion of items from Appendix 13, was of 91.9%. Out of these, 6.6% did not include the name of the sample in the outer face of the label, while in 9.7% the dose was missing. The samples with clinical trial-type samples presented a higher quality (p < 0.049), blinding reduced their quality (p = 0.017), and identification by kit number or by patient increased it (p < 0.01). The promoter was the variable which introduced the highest variability into the analysis. Conclusions: The mean quality of labelling is adequate in the majority of clinical trial samples. The lack of essential information in some samples, such as the clinical trial code and the period of validity, is alarming and might be the potential source for dispensing or administration errors.
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Objectives: To analyze the relationship between pharmacotherapeutical complexity and compliance of therapeutic objectives in HIV+ patients on antiretroviral treatment and concomitant dyslipidemia therapy. Materials and methods: A retrospective observational study including HIV patients on stable antiretroviral treatment during the past 6 months, and dyslipidemia treatment between January and December, 2013. The complexity index was calculated with the tool developed by McDonald et al. Other variables analyzed were: age, gender, risk factor of HIV, smoking, alcoholism and drugs, psychiatric disorders, adherence to antiretroviral treatment and lipid lowering drugs, and clinical parameters (HIV viral load, CD4 count, plasma levels of total cholesterol, LDL, HDL, and triglycerides). In order to determine the predictive factors associated with the compliance of therapeutic objectives, univariate analysis was conducted through logistical regression, followed by a multivariate analysis. Results: The study included 89 patients; 56.8% of them met the therapeutic objectives for dyslipidemia. The complexity index was significantly higher (p = 0.02) in those patients who did not reach the objective values (median 51.8 vs. 38.9). Adherence to lipid lowering treatment was significantly associated with compliance of the therapeutic objectives established for dyslipidemia treatment. A 67.0% of patients met the objectives for their antiretroviral treatment; however, the complexity index was not significantly higher (p = 0.06) in those patients who did not meet said objectives. Conclusions: Pharmacotherapeutical complexity represents a key factor in terms of achieving health objectives in HIV+ patients on treatment for dyslipidemia.
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Objective: In the setting of the increasing use of closed systems for reconstitution and preparation of these drugs, we intend to analyze the correct use of these systems in the Hospital Pharmacy, with the objective to minimize the risks of exposure not only for those professionals directly involved, but also for all the staff in the unit, taking also into account efficiency criteria. Method: Since some systems protect against aerosol formation but not from vapours, we decided to review which cytostatics should be prepared using an awl with an air inlet valve, in order to implement a new working procedure. We reviewed the formulations available in our hospital, with the following criteria: method of administration, excipients, and potential hazard for the staff handling them. We measured the diameters of the vials. We selected drugs with Level 1 Risk and also those including alcohol-based excipients, which could generate vapours. Outcomes: Out of the 66 reviewed formulations, we concluded that 11 drugs should be reconstituted with this type of awl: busulfan, cabazitaxel, carmustine, cyclophosphamide, eribulin, etoposide, fotemustine, melphalan, paclitaxel, temsirolimus and thiotepa; these represented an 18% of the total volume of formulations. Conclusions: The selection of healthcare products must be done at the Hospital Pharmacy, because the use of a system with an air valve inlet only for those drugs selected led to an outcome of savings and a more efficient use of materials. In our experience, we confirmed that the use of the needle could only be avoided when the awl could adapt to the different formulations of cytostatics, and this is only possible when different types of awls are available. Besides, connections were only really closed when a single awl was used for each vial. The change in working methodology when handling these drugs, as a result of this study, will allow us to start different studies about environmental contamination as a future line of work.
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Objetivo: Describir las funcionalidades de un programa informático de soporte a la actividad del responsable de vigilancia de productos sanitarios (PS). Analizar su utilidad tras un año de implantación. Método: Las etapas del proceso fueron: descripción de actividades básicas del responsable de vigilancia, definir las funcionalidades y datos a procesar, crear los formularios de registro y opciones de la herramienta SIVIPS, implantación en un hospital privado que gestiona PS, validación del programa y análisis de su utilidad al año. Resultados: Se desarrolló la herramienta SIVIPS en Acces® por farmacéuticos. Se describieron las variables básicas para todas las actividades del responsable de vigilancia de PS (registro implantes, registro de alertas, registro de incidentes con PS, incluidos los de diagnóstico in vitro) y las funcionalidades del programa. Al año de su implantación se encontraron registros de 564 implantes con la posibilidad de desglose por tipo de implante, 31 alertas con PS y 6 incidentes con PS, permitiendo el seguimiento de las actuaciones realizadas en estos casos. Conclusiones: SIVIPS® es la primera herramienta de soporte a la actividad del responsable de vigilancia de PS. Es una herramienta sencilla que permite de forma ágil el registro de alertas e incidentes con PS, así como el registro de los implantes realizados en el centro, consiguiendo mejorar la trazabilidad del PS.
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Occupational exposure to hazardous drugs can cause harmful effects on health professionals and several protective measures must be taken. Nevertheless, classification of hazardous drugs is not the same in all the published repertoires and the terminology is still confusing: hazardous drugs, biohazardous drugs or risky drugs are terms improperly described and can define very different drugs with a very different hazard profiles. In Spain, there is not an updated official list of hazardous drugs, and healthcare professionals must consider and follow other published lists. In our opinion, it is mandatory to do a consensus among these professionals, administration and labor union organizations in order to clarify some conflictive questions not only in healthcare settings but in investigational and academic scenarios too. These multidisciplinary groups should be involved also in teaching new and non-experienced personnel and in the knowledge reinforcement for the experienced ones.
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Objective: To assess the level of adherence to treatment with imatinib in patients with chronic myeloid leukaemia and its association with therapeutic response. Materials and methods: Study conducted on October, 2013 - March, 2014, including patients diagnosed with Chronic Myeloid Leukaemia on treatment with imatinib in the hospital. Therapeutic adherence was assessed through the standard Morisky-Green Questionnaire and the medication dispensing record. Those patients who did not complete 6 months of treatment and/or did not complete the questionnaire were excluded. Therapeutic response was assessed following clinical guidelines. The descriptive analysis of variables and correlation was conducted through Pearsons's Chi-Square Test. Results: The study included 31 patients. When assessing the level of association between response variables and therapeutic adherence: 1. The highest molecular response was reached by 68.4% of those patients with high adherence, and by 75% of those patients with intermediate adherence. 2. Complete molecular response was achieved by 57.9% of patients with high adherence, and by 58.3% of patients with intermediate adherence. No statistically significant differences were found in response variables between patients with high and intermediate therapeutic adherence. No association was observed between level of adherence and therapeutic response. Conclusions: We cannot confirm that a different level of therapeutic adherence might have an impact on response to imatinib, though this should be taken into account in cases of therapeutic failure or sub-optimal response.
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Objective: To assess potentially inappropriate prescribing (PIP) using Beers (2012 version) and STOPP (2008 version) criteria in polypharmacy, community-dwelling, older patients. Methods: From the information collected in the invoicing data of the prescriptions and the electronic medical records, a sample was selected of 223 ≥ 65-year-old patients who were taking simultaneously 10 or more drugs per day. Beers and STOPP criteria were separately applied, and the results obtained with the two methods were compared. Results: A total of 141 (63.2%) patients presented at least one Beers criterion. The two most frequently observed Beers criteria independent of diagnosis were the use of benzodiazepines and the use of non-COX-2-selective non-steroidal anti-inflammatory drugs. With regard to Beers criteria considering diagnosis, the most frequent were the use of anticholinergic drugs in patients with lower urinary tract symptoms or benign prostatic hyperplasia, and the use of benzodiazepines, antipsychotics, Zolpidem or H2-antihistamines, in patients with dementia or cognitive impairment. A total of 165 (73.9%) patients had at least one PIP according to the STOPP criteria. Duplicate drug classes and long-term use of long-acting benzodiazepines were the two most frequent STOPP criteria. Discussion: Our study identified a high frequency of PIP in poly-medicated community-dwelling older patients. Simultaneous application of Beers and STOPP criteria represents a useful tool to improve prescribing in this population group.
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Objective: To analyze pharmaceutical interventions that have been carried out with the support of an automated system for validation of treatments vs. the traditional method without computer support. Method: The automated program, ALTOMEDICAMENTOS® version 0, has 925 052 data with information regarding approximately 20 000 medicines, analyzing doses, administration routes, number of days with such a treatment, dosing in renal and liver failure, interactions control, similar drugs, and enteral medicines. During eight days, in four different hospitals (high complexity with over 1 000 beds, 400-bed intermediate, geriatric and monographic), the same patients and treatments were analyzed using both systems. Results: 3,490 patients were analyzed, with 42 155 different treatments. 238 interventions were performed using the traditional system (interventions 0.56% / possible interventions) vs. 580 (1.38%) with the automated one. Very significant pharmaceutical interventions were 0.14% vs. 0.46%; significant was 0.38% vs. 0.90%; non-significant was 0.05% vs. 0.01%, respectively. If both systems are simultaneously used, interventions are performed in 1.85% vs. 0.56% with just the traditional system. Using only the traditional model, 30.5% of the possible interventions are detected, whereas without manual review and only the automated one, 84% of the possible interventions are detected. Conclusions: The automated system increases pharmaceutical interventions between 2.43 to 3.64 times. According to the results of this study the traditional validation system needs to be revised relying on automated systems. The automated program works correctly in different hospitals.