View clinical trials related to Inappropriate Prescribing.
Filter by:Objective: To develop and evaluate the effectiveness of a mobile application to support decision making for prescription drugs to elderly patients. Method: Firstly, there will be a two-tier content validation of potentially inappropriate medicines (PIM) for the elderly based on Beers Criteria and STOPP. For the validation, a modified Delphi consensus technique will be applied. Twelve national experts will be invited. For each statement contained in the Beers criteria and STOPP a proposition will be prepared in order to allow each participant to issue an opinion on each of the propositions by assigning a value according to their agreement to the statement. Therefore, the Likert scale with established score of 1 to 5 (completely disagree - strongly agree) will be used. Statements with average scores above 4.0 will be considered consensus. All information regarding PIMs will be made available through an application for tablets. The information on risks and recommendations about the drugs will be available whenever the users enter the medicines name. The application will be developed for the Android platform, which is based on the Java programming language. To evaluate the use of this application 30 doctors working in basic health units and health units of the family in a municipality from Bahia will be asked to join the study. Upon acceptance, the proportion of PIMs' prescription by these professionals for a minimum period of two months will be analyzed. Later, 15 doctors will be randomized into the intervention group and will receive a tablet with the application installed. They will be trained to use it as well as to access to the Evidence Based Health Portal of the Ministry of Health. The control group of 15 other physicians will receive the tablet and will be trained to access the Evidence Based Health Portal. The study will be blind to the participants and to the main investigator. To continue, the information will be analyzed by sampling the PIMs' prescription in both groups. To access this information the prescriptions' duplicate original, filed in pharmacies, patient files or home visit will be required. The PIMs prescription ratios before and after the intervention will be compared.
This research focuses on the development and validation of indicators on the appropriateness of oral anticoagulant prescriptions. The investigators want to propose transferable tools to other healthcare institutions to allow automated construction of indicators as part of a structured approach to improve future practices. The main objective of the study is to develop indicators on the appropriateness of oral anticoagulant prescriptions in adult medicine automated from the hospital information system and to assess their criterion validity.
The objective of this randomized controlled trial is to develop a coordinated, multiprofessional medication management model for home-dwelling aged in primary care and to study the effectiveness of this model. The main hypothesis is that the new model helps to identify aged people having potential risks with their medications and thus allows solving these risks.
It is a cross-sectional study examining a random sample of in- and out-patients, with proven malignant disease receiving chemotherapy, over a period of 6 months from the start of the study who visit the Oncology department, Ain Shams University Teaching Hospitals. The effect of some risk factors on the prescribing error will be studied; these risk factors include the following: Tumor type ,Cancer stage ,type of comorbid illness ,type of medication , type of anti-cancer treatment , number of abnormal lab data ,type of abnormal lab data , the number of drugs in the treatment regimen , the number of side effects after chemotherapy administration, the age of patient ,the dosing frequency of anticancer ,the route of administration . Summary statistics are performed to describe patient characteristics , frequency, types and classification of medication error; and frequency with which Medication errors occur. Logistic regression will be applied to the collected data to perform a predictive relation between the risk factors which may be (categorical, continuous, or discrete) and the prescribing errors which are (categorical).
The purpose of this study is to investigate the effect of nurse-led medication reviews on the frequency, type and potential severity of PIP in psychiatric patients