Contribuição do uso de medicamentos para a admissão hospitalar

According to the Word Health Organization, adverse drug reactions (ADR) are any harmful and non intentional answer which occurred in doses normally used in human beings. The ADR can be responsible for 2.4% to 11.5% of hospital admissions. Therefore, this study aimed at knowing the admitted patient's demographic profile due to possible ADR, identifying the most frequent drugs and complaints, and evaluating the incidence of hospital admission related to drug use. Patients who were 18 years old or more and were admitted during a period of one month to a medical clinical of a general hospital were interviewed for one month about drug use before being admitted, as well as regarding to the complaint which led them to hospital. These information were analyzed according to official data, like MICROMEDEX® and WHO criteria as well. It was observed that the admission due to drug use occurred in most part of the cases in elderly [47.5% (66/139)] and women [62% (87/139)]. The most frequent drugs used were: omeprazole (16), analgesics (31), antihypertensive (31), simvastatin (7) and formoterol fumarate (6), and the symptoms were normally associated to the digestive (20.5%), circulatory (20.2%), respiratory (18.2%) and central nervous systems (13.9%). It was estimated that 15.5% (139/897) of the hospital admission occurred possibly due to the drug use. The data found by present study suggests some strategies in order to prevent ADR in the context of primary health care services, such as monitoring drug therapy, manly for patients with chronic diseases, elderly and polimedicated people; and pharmaceutical care including dispensation and purchasing of the drugs, a lot of them dispensed over the counter (OTC).

Assessment of pharmacotherapeutic safety of medical prescriptions for elderly residents in a long-term care facility

The present study aimed to estimate the prevalence of elderly using potentially inappropriate medications (PIM) and with occurrence of potentially hazardous drug interactions (PHDI), to identify the risk factors for the prescription of PIM and to evaluate the impact of pharmaceutical intervention (PI) for the prescription of safer therapeutic alternatives. Therefore, a cross-sectional study was performed in a long-term care facility in São Paulo State, between December/2010 and January/2011. The medical records of the patients >= 60 years old who took any drugs were consulted to assess the pharmacotherapeutic safety of the medical prescriptions, in order to identify PIM and PHDI, according to the Beers (2003) and World Health Organization criteria, respectively. PI consisted of a guidance letter to the physician responsible for the institution, with the suggestions of safer equivalent therapeutics. Approximately 88% of the elderly took at least one drug, and for 30% of them the PIM had been prescribed. Most of the PIM identified (53.4%) act on the central nervous system. Among the 13 different DI detected, 6 are considered PHDI. Polypharmacy was detected as a risk factor for PIM prescription. After the PI there was no change in medical prescriptions of patients who had been prescribed PIM or PHDI. The data suggests that PI performed by letter, as the only interventional, method was ineffective. To contribute it a wide dissemination of PIM and PHDI among prescriber professionals is necessary for the selection of safer treatment for elderly. Additionally, a pharmacist should be part of the health care team in order to help promote rational use of medicines.

Smoothing a Discrete Hazard Function for the Number of Patients Colonized with Methicillin-Resistance Staphylococcus Aureus in an Intensive Care Unit

A new method for estimating the time to colonization of Methicillin-resistant Staphylococcus Aureus (MRSA) patients is developed in this paper. The time to colonization of MRSA is modelled using a Bayesian smoothing approach for the hazard function. There are two prior models discussed in this paper: the first difference prior and the second difference prior. The second difference prior model gives smoother estimates of the hazard functions and, when applied to data from an intensive care unit (ICU), clearly shows increasing hazard up to day 13, then a decreasing hazard. The results clearly demonstrate that the hazard is not constant and provide a useful quantification of the effect of length of stay on the risk of MRSA colonization which provides useful insight.