View clinical trials related to Adverse Drug Reaction.
Filter by:The investigator's primary aim is to evaluate polypharmacy-associated adverse drug reactions (ADR) in a pilot study of at-risk patients using state-of-the-art pharmacogenomic technology and to use this information to make recommendations for optimization of pharmacotherapy regimens. The data from the pilot cohort will be used to optimize and integrate a customized electronic decision support (clinical semantic network; CSN) dashboard to identify drug regimens that should be modified, replaced, or discontinued. A secondary objective of the pilot study is to evaluate the capacity/saturation of CYP P450 enzymatic pathways in polypharmacy patients. A third objective is to determine the feasibility of the planned informatics workflows between the CLIA lab, the EMR, and the Family Medicine Practice.
In PT@LUMC 2000 patients will be randomized between a PGx-guided dosing group and a standard of care group. The patients will be followed for one year in which they will be asked to report adverse drug reactions at one, three, six and twelve months.
The present study has assessed the knowledge, attitude and practice of ADRs reporting among pharmacists, and the perceived factors that may influence reporting.
Repeat exposures to culprit medications are a common cause of preventable adverse drug events. Health information technologies have the potential to reduce repeat adverse drug events by improving information continuity. However, they rarely interoperate to ensure providers can view adverse drug events documented in other systems. The investigators designed ActionADE to enable rapid documentation of adverse drug events, and communication of standardized information across health sectors by integrating ActionADE with legacy systems. The investigators will leverage ActionADE's implementation to conduct a randomized trial on patients diagnosed with adverse drug reactions in the main trial. This study will take place in Vancouver, British Columbia, Canada.
The purpose of the study is to implement a pharmacist-led deprescribing intervention for adults 65 and older taking 10 or more medications at University of Texas (UT) Physicians clinics and to assess the effect of the pharmacist intervention on the incidence of adverse drug reactions, emergency room visits, and hospitalizations as well as costs to the patient and to the healthcare system in adults 65 and older taking 10 or more medications treated at UT Physicians.
Genetic makeup of a patient influences the efficacy and safety profile of a drug. This study is to summarize individual cases, where Pharmacogenetics (PGx) has been applied during pharmaceutical care. The primary objective is the compilation of case reports, where pharmacogenetic testing is applied to determine the hereditable component of the patient's susceptibility to experience therapy failure and/or adverse drug reactions. The experience with the compiled cases will be basis for the development of a reliable standard of procedure for pharmacogenetic testing in the community pharmacy. The cases will be supplemented with information on additional Parameters reported in the literature to affect efficacy or safety of the respective drug.
Multiple morbidity is increasing, especially in elderly people, with a corresponding increase in polypharmacy and inappropriate prescriptions. According to different evaluations, between 25 and 75% of patients aged 75 or older are exposed to 5 or more drugs. There is increasing evidence that polypharmacy can cause more harm than good, especially in elderly people, due to factors such as drug-drug and drug-disease interactions. Many strategies were proposed to reduce polypharmacy and inappropriate prescribing, but there is little evidence to show benefit. There is an urgent need to implement effective strategies. The application methodology must be simple so that it does not fail in daily practice. For the current plan, an electronic medical record, named "DrApp", will be used, which will include a drug interaction program, (Interax-AI), which will automatically indicate the medication prescriptions that involve a risk for the patient. All outpatient indications followed by physicians using the DrApp electronic history will be registered. The indications will be compared in the 4 months prior to the incorporation of the Interax-AI program with the 4 months after the incorporation of the program. Between both stages a period of 2 weeks will be established in which the data will not be recorded. The minimum & maximum number of patients that will be included in each stage are 100 & 200. The primary end point is to compare the total number of indications per inpatient, before the availability of the Interax-AI program and after the application of this program. The objective is to evaluate if the computer program of detection of drug interactions allows to limit the polypharmacy in outpatients.
Deprescribing is a systematic method of withdrawing potentially inappropriate or unnecessary medications and is warranted in the elderly due to the high prevalence of polypharmacy. In particular, symptomatic control medications, such as acid suppressants, laxatives and painkillers, are frequently prescribed and continued, though such medications are rarely needed on a long-term basis. Therefore, the study objectives were to determine the cost savings, effects and feasibility of implementing a systematic process of deprescribing medications for symptomatic management, namely, acid suppressants, laxatives, analgesics, and antiemetics.
PREPARE is an international, prospective, multi-center, open, randomized, cross-over implementation study assessing the impact of pre-emptive pharmacogenomic testing, of a panel of actionable pharmacogenomic variants, on adverse event incidence. Additional outcomes include, healthcare expenditure, process indicators for implementation and provider adoption of pharmacogenomics.
Introduction: Elderly aged over 65 years accounted for around 17.5% of the French general population. Adverse drug reactions (ADR) are common in this population. In elderly subject, prevalence of ADRs ranged from 4.3% to 63.0%. Aim: To describe the serious ADR in elderly subjects aged over 65 years and assess their preventability. Methods: A retrospective study was conducted at the Regional Pharmacovigilance Center of Champagne-Ardenne (northeast of France) between January and May 2013. Patients aged over 65 years who presented a serious ADR notified to the Regional Pharmacovigilance Center were included in the study.