4 resultados para Psychiatric hospitals patients

em Scielo España


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Background and Objectives: Both psychiatric acute units and psychiatric intensive care units (PICUs) focus on acute treatment of behavioral disturbances such as violence and aggressive threats and acts. The aim of the present study is to describe the frequency of violent behavior; such as verbal or physical threats and physical attacks, among patients admitted to psychiatric intensive care unit (PICU). In addition the relationship between the episodes of threats and/or attacks in relation to time of the day, days of the week, and their seasonal variations was explored. Methods: All violent behavior was continuously assessed at the psychiatric emergency department. Data were collected during the period from May 2010 to May 2012. Results: Patients with only one hospitalization were less violent than those who have had two hospitalizations. There was a statistically significant difference in violence among patients without formal secondary education and those who have not formal education. Violent behavior showed two peaks during the day; the first occurring at 1 pm and the second at 8 pm. In regard to seasonality, summer had a higher incidence of violence. The most peaceful seasons of the year were spring and autumn. Conclusions: Violent behavior shows variation in daytime, days of the week and season in acute psychiatric intensive care. Daytime variation shows two peaks of violence at 1 pm and 8 pm, Sundays and Wednesdays being the quietest days regarding violence both in winter and summer. Patient's level of education and hospitalization status partially explain the variation.

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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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Rationale: Hospital malnutrition is a global health problem affecting 30-50% of hospitalized patients. There are no estimates of the size of this problem in Ecuadorian hospitals. Hospital malnutrition might influence the quality of medical assistance provided to hospitalized populations. Objectives: To estimate the current frequency of malnutrition among patients admitted to Ecuadorian public hospitals. Materials and methods: The Ecuadorian Hospital Malnutrition Study was conducted between November 2011 and June 2012 with 5,355 patients (Women. 37.5%; Ages ≥ 60 years. 35.1%; Length of stay ≤ 15 days. 91.2%) admitted to 36 public hospitals located in the prominent cities of 22 out of the 24 provinces of the country. Malnutrition frequency was estimated by means of the Subjective Global Assessment survey. Results: Malnutrition affected 37.1% of the surveyed patients. Malnutrition was dependent upon patient's age and education level; as well as the presence of cancer, sepsis, and chronic organic failure. Hospital areas showed different frequencies of hospital malnutrition. Health condition leading to hospital admission influenced negatively upon nutritional status. Malnutrition frequency increased as length of stay prolonged. Conclusions: Malnutrition currently affects an important proportion of patients hospitalized in public health institutions of Ecuador. Policies and actions are urgently required in order to successfully deal with this health problem and thus to ameliorate its negative impact upon quality of medical care

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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.