Medication reconciliation and adherence: a call for clinical pharmacist

Introduction and Objectives: With the population ageing, there is a growing number of people who have several comorbidities and make use of a variety of drugs. These factors lead to a greater predisposition to adverse drug events, as well as to medication errors. The clinical pharmacist is the most indicated health professional to target these issues. The aims of this study were to analyze the profile of medication reconciliation and assess the role of the clinical pharmacist regarding medication adherence. Material and Methods: Prospective observational cohort study conducted from Jan-Mar 2013 at the Surgical Clinic of the University Hospital of the University of Sao Paulo. 117 admitted patients - over the age of 18 years, under continuous medication use and with length of hospitalization up to 120h - were included. Discrepancies were classified as intentional/unintentional and according to their risk to cause harm, and interventions were divided into accepted/not accepted. Medication adherence was measured by Morisky questionnaire. Results and Conclusions: Only 30% of hospital prescriptions showed no discrepancies between the medications that the patient was using at home and those which were being prescribed at the hospital and more than one third of those had the potential to cause moderate discomfort or clinical deterioration. One third of total discrepancies were classified as unintentional. About 90% of the interventions were accepted by the medical staff. In addition, about 63% of patients had poor adherence to drug therapy. The study revealed the importance of the medication reconciliation at patient admission, ensuring greater safety and therapeutic efficacy of the treatment during hospitalization, and orienting the patient at discharge, assuring the therapy safety.

Adverse Drug Events Leading Children to Hospital Emergency Care

To determine the incidence of adverse drug events (ADE) that resulted in the need for children's emergency care, a total of 23,286 pediatric emergency case notes were analyzed. They were selected on the basis of the ICD code indicating a possible ADE. ADEs were found in 13 case notes (0.06%), predominantly among girls and mainly in the 1 to 5 year age group. About half of the observed events occurred as a result of accidental ingestion, 27.3% were suicide attempts, and 27.3% arose due to the discontinuation of treatment. Antiepileptic drugs were those most often involved. Three (23%) were serious. The results suggest that children have easy access to medications and are involved in the majority of accidental occurrences. Using drugs involves risks, and drawing attention to such risks while prescribing and dispensing them fosters the sharing of responsibility and the empowerment of the users, measures necessary to health promotion.

Relapse of Intravenous Drug Use Triggered by Enfuvirtide, a Parenteral Antiretroviral Medication

Fuzeon (R) (enfuvirtide; Hoffmann-LaRoche, Nutley, NJ) is a parenteral medication prescribed to antiretroviral-experienced HIV patients. Clinicians are frequently concerned when prescribing enfuvirtide to former drug addicts because of the risk of triggering relapse, however, no previous report has described this adverse event. We describe two HIV-infected patients, previously abstinent from injection drug use, who experienced relapse or near-relapse situations after starting treatment with enfuvirtide. Along with the concerns related to adherence and to injection site reactions, clinicians who prescribe enfuvirtide should consider and discuss the risk of triggering relapse among former or recovering drug addicts.

Prediction with measurement errors in finite populations

We address the problem of selecting the best linear unbiased predictor (BLUP) of the latent value (e.g., serum glucose fasting level) of sample subjects with heteroskedastic measurement errors. Using a simple example, we compare the usual mixed model BLUP to a similar predictor based on a mixed model framed in a finite population (FPMM) setup with two sources of variability, the first of which corresponds to simple random sampling and the second, to heteroskedastic measurement errors. Under this last approach, we show that when measurement errors are subject-specific, the BLUP shrinkage constants are based on a pooled measurement error variance as opposed to the individual ones generally considered for the usual mixed model BLUP. In contrast, when the heteroskedastic measurement errors are measurement condition-specific, the FPMM BLUP involves different shrinkage constants. We also show that in this setup, when measurement errors are subject-specific, the usual mixed model predictor is biased but has a smaller mean squared error than the FPMM BLUP which points to some difficulties in the interpretation of such predictors. (C) 2011 Elsevier By. All rights reserved.

Influence Assessment in an Heteroscedastic Errors-in-Variables Model

The main goal of this article is to consider influence assessment in models with error-prone observations and variances of the measurement errors changing across observations. The techniques enable to identify potential influential elements and also to quantify the effects of perturbations in these elements on some results of interest. The approach is illustrated with data from the WHO MONICA Project on cardiovascular disease.

Homology and errors

A recent review of the homology concept in cladistics is critiqued in light of the historical literature. Homology as a notion relevant to the recognition of clades remains equivalent to synapomorphy. Some symplesiomorphies are homologies inasmuch as they represent synapomorphies of more inclusive taxa; others are complementary character states that do not imply any shared evolutionary history among the taxa that exhibit the state. Undirected character-state change (as characters optimized on an unrooted tree) is a necessary but not sufficient test of homology, because the addition of a root may alter parsimonious reconstructions. Primary and secondary homology are defended as realistic representations of discovery procedures in comparative biology, recognizable even in Direct Optimization. The epistemological relationship between homology as evidence and common ancestry as explanation is again emphasized. An alternative definition of homology is proposed. (c) The Willi Hennig Society 2012.

A log-Birnbaum-Saunders regression model with asymmetric errors

This paper introduces a skewed log-Birnbaum-Saunders regression model based on the skewed sinh-normal distribution proposed by Leiva et al. [A skewed sinh-normal distribution and its properties and application to air pollution, Comm. Statist. Theory Methods 39 (2010), pp. 426-443]. Some influence methods, such as the local influence and generalized leverage, are presented. Additionally, we derived the normal curvatures of local influence under some perturbation schemes. An empirical application to a real data set is presented in order to illustrate the usefulness of the proposed model.

Bayesian Analysis for Errors in Variables with Changepoint Models

Changepoint regression models have originally been developed in connection with applications in quality control, where a change from the in-control to the out-of-control state has to be detected based on the avaliable random observations. Up to now various changepoint models have been suggested for differents applications like reliability, econometrics or medicine. In many practical situations the covariate cannot be measured precisely and an alternative model are the errors in variable regression models. In this paper we study the regression model with errors in variables with changepoint from a Bayesian approach. From the simulation study we found that the proposed procedure produces estimates suitable for the changepoint and all other model parameters.

Flow Visualization with Quantified Spatial and Temporal Errors Using Edge Maps

Robust analysis of vector fields has been established as an important tool for deriving insights from the complex systems these fields model. Traditional analysis and visualization techniques rely primarily on computing streamlines through numerical integration. The inherent numerical errors of such approaches are usually ignored, leading to inconsistencies that cause unreliable visualizations and can ultimately prevent in-depth analysis. We propose a new representation for vector fields on surfaces that replaces numerical integration through triangles with maps from the triangle boundaries to themselves. This representation, called edge maps, permits a concise description of flow behaviors and is equivalent to computing all possible streamlines at a user defined error threshold. Independent of this error streamlines computed using edge maps are guaranteed to be consistent up to floating point precision, enabling the stable extraction of features such as the topological skeleton. Furthermore, our representation explicitly stores spatial and temporal errors which we use to produce more informative visualizations. This work describes the construction of edge maps, the error quantification, and a refinement procedure to adhere to a user defined error bound. Finally, we introduce new visualizations using the additional information provided by edge maps to indicate the uncertainty involved in computing streamlines and topological structures.

Post-trial access to study medication: a Brazilian e-survey with major stakeholders in clinical research

Objectives To analyse the perspective of clinical research stakeholders concerning post-trial access to study medication. Methods Questionnaires and informed consents were sent through e-mail to 599 ethics committee (EC) members, 290 clinical investigators (HIV/AIDS and Diabetes) and 53 sponsors in Brazil. Investigators were also asked to submit the questionnaire to their research patients. Two reminders were sent to participants. Results The response rate was 21%, 20% and 45% in EC, investigators and sponsors' groups, respectively. 54 patients answered the questionnaire through their doctors. The least informative item in the consent form was how to obtain the study medication after trial. If a benefit were demonstrated in the study, 60% of research participants and 35% of EC answered that all patients should continue receiving study medication after trial; 43% of investigators believed the medication should be given to participants, and 40% to subjects who participated and benefited from treatment. For 50% of the sponsors, study medication should be assured to participants who had benefited from treatment. The majority of responders answered that medication should be provided free by sponsors; investigators and sponsors believed the medication should be kept until available in the public health sector; EC members said that the patient should keep the benefit; patients answered that benefits should be assured for life. Conclusions Due to the study limitations, the results cannot be generalised; however, the data can contribute to discussion of this complex topic through analysing the views of stakeholders in clinical research in Brazil.

Critical analysis of the regulations regarding the disposal of medication waste

Expired or unused medication at people's homes is normally disposed of in normal garbage, sewage system or, in certain cases, returned to the public health system. There is still no specific legislation regarding this leftover medication to regulate and orient the handling and correct disposal of medication waste. However, there is defined regulation regarding health services' solid waste. This article has the objective of discussing management models for the disposal of medication waste and the recommendations made by pertinent national and international legislation. By means of literature reviews, the management structure for medication waste of international legislation and the regulations regarding the environment, as well as the national legislation for the solid waste from health services was analyzed. Through the analysis it was possible to present better clarifications as to the possible impacts to the environment, to the public's health and alternatives in order to obtain the efficient disposal of medication, reducing and/or avoiding sanitary risk, guaranteeing the quality and safety of public health.

Medication adherence in frail elderly outpatients with dementia

Since drug therapy in the elderly is complex and longterm and aged people commonly present some level of impairment and disability, medication adherence tend to decrease with age. Cognitive function is a key factor associated with medication adherence and professional or caregiver assistance may be necessary to maintain correct drug use. This study aims to analyze frail elderly outpatients aged 80 years or over diagnosed with dementia. The study is cross-sectional and is being conducted at the Ambulatory of Frailty of the University Hospital of the University of São Paulo (AF-UH). It is being based on information collected through an interview conducted with the patient or its caregiver. Medication adherence is assessed by the proportion of the prescribed drugs used in concordance with the prescription. Here it is presented the results of a pilot study. Thirty patients were included in the pilot study of which 23 (76.7%) were female and 7 (23.3%) males. The mean(SD) age, number of dwelling relatives, living children and prescribed drugs was, respectively, 86(5) years, 3(2), 3(2) and 6(3). The AF-UH consultation is the only regular physician encounter for 60.7% of the patients. Out of 30 patients, 5 (16.7%) live alone. Medication is a caregiver responsibility in 22 (73.4%) patients; the others (26.6%) self-administer their medicines. 13 (43.3%) of patients regularly use at least one drug not prescribed. Dementia was present in 8 patients all of which have a caregiver responsible for the management and,or the administration of the medicines; on the other hand, only 4 of the 22 nondemented patients (18.2%) have assistance of a caregiver (p<.001). The mean(SD) number of prescribed drugs was higher in nondemented patients [6.5(2.4)] than in those with dementia[3.5(2.3)] (p=.004). Educational level was similar between caregivers and patients (p=.503) as well as between caregivers of demented and non demented patients (p=.582). Among patients without dementia, those with caregiver assistance pre-presented the same mean(SD) medication adherence [0.93(0.14)] than those without it [0.78(0.28)] (p=.305). When compared to nondemented patients without caregivers, demented patients showed higher medication adherence [1.00(0.00)] (p=.013) since all of them used their drugs as recommended. The lower number of prescribed drugs and caregiver assistance seem to play an important role in the adherence of pharmacotherapy of demented patients in the studied population.