The Anatomy of Medication Errors

Medication errors constitute a category of errors that occur more frequently in healthcare units. They refer to every preventable event that may cause or lead to the inappropriate use of medicines or patient injury, during the therapeutic process. This type of events may be associated with professional practices, healthcare products, procedures, and systems including prescription, communication through instructions, drug labeling, packaging and nomenclature, reformulation, dissolution, distribution, administration, education, monitoring, and use. Classification and evaluation of medication errors according to their importance may constitute an important factor for process improvement in order to render the administration of medicines as safe as possible. The main categories of causes that lead to medication errors are those associated with the healthcare provider system, the healthcare professional, the pharmacy, and the scientific competence of the personnel. Technology has grown to be a constituent part of medicine these days. The appropriate technology is able to assist in increased efficiency, enhanced quality, and lessened costs. A few advantages that technology can supply are categorized as follows: the assisting of communication between clinicians; enhancing medication safety; decreasing potential medical errors and adverse events; rising access to medical information and encouraging patient-centered healthcare. The aim of this chapter is to provide a compendious literature review regarding the definition, the classification, the causes, and the main strategies for preventing medication errors

Psychometric Properties of the Hospital Survey on Patient Safety Culture (HSOPSC): Findings from Greece

Background: Safety culture has been considered to be as one of the most crucial premises for the further development of patient safety in healthcare

Defining Adverse Events and Determinants of Medical Errors in Healthcare

The concept of error typically regards an action, not its outcome, and its meaning becomes clear when separated into categories (medical error, nurse perceptions of (medication) error, diagnostic error). One wrong action may or may not lead to an adverse event either because the abovementioned action did not cause any serious damage to patients’ health condition or because it was promptly detected and corrected. The concept of error, on the contrary, which is used alternatively in the study, refers to the adverse outcome of an action. The responsibility for the emergence of errors in healthcare systems is shared among the nature of the healthcare system that is governed by organizational and functional complexity, the multifaceted and uncertain nature of medical science, and the imperfections of human nature. Medical errors should be examined as errors of the healthcare system, in order to identify their root causes and develop preventive measures. The main aims of this chapter are the following: (1) to understand medical errors and adverse events and define the terms that describe them; and (2) the most excellent way to comprehend how medical errors and adverse events occur and how to prevent them. Moreover it makes clear their classification and their determinants

Association between exposure to environmental tobacco smoke and biomarkers of oxidative stress among patients hospitalised with acute myocardial infarction

Objective To determine whether exposure to environmental tobacco smoke was associated with oxidative stress among patients hospitalised for acute myocardial infarction.<p></p> Design An existing cohort study of 1,261 patients hospitalised for acute myocardial infarction.<p></p> Setting Nine acute hospitals in Scotland.<p></p> Participants Sixty never smokers who had been exposed to environmental tobacco smoke (admission serum cotinine ≥3.0 ng/mL) were compared with 60 never smokers who had not (admission serum cotinine ≤0.1 ng/mL).<p></p> Intervention None.<p></p> Main outcome measures Three biomarkers of oxidative stress (protein carbonyl, malondialdehyde (MDA) and oxidised low-density lipoprotein (ox-LDL)) were measured on admission blood samples and adjusted for potential confounders.<p></p> Results After adjusting for baseline differences in age, sex and socioeconomic status, exposure to environmental tobacco smoke was associated with serum concentrations of both protein carbonyl (beta coefficient 7.96, 95% CI 0.76, 15.17, p = 0.031) and MDA (beta coefficient 10.57, 95% CI 4.32, 16.81, p = 0.001) but not ox-LDL (beta coefficient 2.14, 95% CI −8.94, 13.21, p = 0.703).<p></p> Conclusions Exposure to environmental tobacco smoke was associated with increased oxidative stress. Further studies are requires to explore the role of oxidative stress in the association between environmental tobacco smoke and myocardial infarction.<p></p&gt

Neurodegenerative Diseases: An Overview of Environmental Risk Factors

The population of the United States is aging, and an ever-increasing number of Americans are afflicted with neurodegenerative diseases. Because the pathogenesis of many of these diseases remains unknown, we must consider that environmental factors may play a causal role. This review provides an overview of the epidemiologic evidence for environmental etiologies for neurodegenerative diseases such as Alzheimer disease, Parkinson disease, parkinsonian syndromes (multiple system atrophy and progressive supranuclear palsy), and amyotrophic lateral sclerosis. Epidemiologic evidence for an association between environmental agents’ exposure and neurodegenerative diseases is not conclusive. However, there are indications that there may be causal links, and the need for more research is obvious

Cerebrospinal fluid α-synuclein species in cognitive and movements disorders

Total CSF α-synuclein (t-α-syn), phosphorylated α-syn (pS129-α-syn) and α-syn oligomers (o-α-syn) have been studied as candidate biomarkers for synucleinopathies, with suboptimal specificity and sensitivity in the differentiation from healthy controls. Studies of α-syn species in patients with other underlying pathologies are lacking. The aim of this study was to investigate possible alterations in CSF α-syn species in a cohort of patients with diverse underlying pathologies. A total of 135 patients were included, comprising Parkinson’s disease (PD; n = 13), multiple system atrophy (MSA; n = 9), progressive supranuclear palsy (PSP; n = 13), corticobasal degeneration (CBD; n = 9), Alzheimer’s disease (AD; n = 51), frontotemporal degeneration (FTD; n = 26) and vascular dementia patients (VD; n = 14). PD patients exhibited higher pS129-α-syn/α-syn ratios compared to FTD (p = 0.045), after exclusion of samples with CSF blood contamination. When comparing movement disorders (i.e., MSA vs. PD vs. PSP vs. CBD), MSA patients had lower α-syn levels compared to CBD (p = 0.024). Patients with a synucleinopathy (PD and MSA) exhibited lower t-α-syn levels (p = 0.002; cut-off value: ≤865 pg/mL; sensitivity: 95%, specificity: 69%) and higher pS129-/t-α-syn ratios (p = 0.020; cut-off value: ≥0.122; sensitivity: 71%, specificity: 77%) compared to patients with tauopathies (PSP and CBD). There are no significant α-syn species alterations in non-synucleinopathies.This study was supported by Strat-up Funding to OE from Qatar Biomedical Research Institute (SF 2007–007) and Qatar National Research Fund (NPRPNo.: 8–517–3-112)

Association study of cholesterol-related genes in Alzheimer's disease

Alzheimer's disease (AD) is a genetically complex disorder, and several genes related to cholesterol metabolism have been reported to contribute to AD risk. To identify further AD susceptibility genes, we have screened genes that map to chromosomal regions with high logarithm of the odds scores for AD in full genome scans and are related to cholesterol metabolism. In a European screening sample of 115 sporadic AD patients and 191 healthy control subjects, we analyzed single nucleotide polymorphisms in 28 cholesterol-related genes for association with AD. The genes HMGCS2, FDPS, RAFTLIN, ACAD8, NPC2, and ABCG1 were associated with AD at a significance level of P ≤ 0.05 in this sample. Replication trials in five independent European samples detected associations of variants within HMGCS2, FDPS, NPC2, or ABCG1 with AD in some samples (P = 0.05 to P = 0.005). We did not identify a marker that was significantly associated with AD in the pooled sample (n = 2864). Stratification of this sample revealed an APOE-dependent association of HMGCS2 with AD (P = 0.004). We conclude that genetic variants investigated in this study may be associated with a moderate modification of the risk for AD in some sample