Background:Medication discrepancies are a common occurrence following hospital admission and carry the potential for causing harm. However, little is known about the potential risk factors involved in medication discrepancies.Objective:The objective of this study was to determine how frequently medication discrepancies occur and their associated risk factors, in patients hospitalized via the emergency department of the Spaarne Gasthuis Hospital, located in The Netherlands.Methods:This retrospective observational study examines 832 hospital admissions which took place between April 1st and June 30th, 2015. Medication reconciliation was performed within 24 hours of admission and medication discrepancies were registered. The primary outcome recorded in the study was the proportion of patients experiencing one or more medication discrepancies, as verified by the physician. As a secondary outcome, the association between these discrepancies and pre-specified variables was analyzed using univariate and multivariate logistic regression.Results:At least one medication discrepancy was found to have occurred with 97 of the 832 patients (11.7%), the most common discrepancies involving incorrect drug dose (44.9%) and omission of medication (36.4%). In the univariate analysis, age (OR=1.03 [95% CI 1.02:1.04] p<0.001) and number of pre-admission medications taken (OR=1.13 [95%CI 1.09:1.17] p<0.001) were revealed to be significantly associated with the risk of medication discrepancies. Sex, type of medical specialty, and surgical versus non-surgical specialty were found not to be significantly associated with discrepancies. In the multivariate analysis, both the number of pre-admission medications (OR=1.10 [95%CI 1.06:1.15] p<0.001) and age (OR=1.02 [95%CI 1.01:1.03] p=0.004) were independently associated with the risk of medication discrepancy.Conclusions:Of the total number of patients, 11.7% experienced one or more medication discrepancies following admission to the hospital. Elderly patients taking multiple drugs were found to be particularly at risk.
In one-third of preoperatively screened patients, an MEA was found. The number of medications and respiratory comorbidities are risk factors for MEA in preoperatively screened patients.
The stress-induced hyperthermia (SIH) response is the transient change in body temperature in response to acute stress. This body temperature response is part of the autonomic stress response which also results in tachycardia and an increased blood pressure. So far, a SIH response has been found in a variety of species (including rodents, baboons, turtles, pigs, impalas and chimpanzees), and there are indications that stress exposure alters body temperature in humans. This review aims to assess the translational potential and the different aspects of the body temperature reaction in response to stress. If stress-induced temperature changes are consistent across species, the SIH paradigm may be employed in preclinical and clinical setups and provide a tool to examine the pharmacological, genetic and mechanistic background of stress at both the preclinical and the clinical level.
Background: Medication reconciliation has become standard care to prevent medication transfer errors. However, this process is time-consuming but could be more efficient when patients are engaged in medication reconciliation via a patient portal. Objectives: To explore whether medication reconciliation by the patient via a patient portal is noninferior to medication reconciliation by a pharmacy technician. Design (including intervention): Open randomized controlled noninferiority trial. Patients were randomized between medication reconciliation via a patient portal (intervention) or medication reconciliation by a pharmacy technician at the preoperative screening (usual care). Setting and Participants: Patients scheduled for elective surgery using at least 1 chronic medication were included. Measures: The primary endpoint was the number of medication discrepancies compared to the electronic nationwide medication record system (NMRS). For the secondary endpoint, time investment of the pharmacy technician for the medication reconciliation interview and patient satisfaction were studied. Noninferiority was analyzed with an independent t test, and the margin was set at 20%. Results: A total of 499 patients were included. The patient portal group contained 241 patients; the usual care group contained 258 patients. The number of medication discrepancies was 2.6 AE 2.5 in the patient portal group and 2.8 AE 2.7 in the usual care group. This was not statistically different and within the predefined noninferiority margin. Patients were satisfied with the use of the patient portal tool. Also, the use of the portal can save on average 6.8 minutes per patient compared with usual care. Conclusions and Implications: Medication reconciliation using a patient portal is noninferior to medication reconciliation by a pharmacy technician with respect to medication discrepancies, and saves time in the medication reconciliation process. Future studies should focus on identifying patient characteristics for successful implementation of patient portal medication reconciliation.
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