Evaluation of a Drug Interactions Software to Limit Polypharmacy
- Conditions
- InpatientPolypharmacyElderlyDrug Interaction
- Interventions
- Device: Medication Interaction System of Dr App (SIMDA)
- Registration Number
- NCT03901820
- Lead Sponsor
- University of Buenos Aires
- Brief Summary
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, SIMDA, which will automatically indicate the medication prescriptions that involve a risk for the patient.
The first indication of each patient admitted to two rooms of the Internal Medicine Department of the Hospital de Clínicas José de San Martín will be registered. The indications will be compared in the 4 months prior to the incorporation of the SIMDA 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 number of patients that will be included in each stage is 100.
The primary end point is to compare the total number of indications per inpatient, before the availability of the SIMDA 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 hospitalized patients.
- Detailed Description
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, SIMDA, which will automatically indicate the medication prescriptions that involve a risk for the patient.
The first indication of each patient admitted to two rooms of the Internal Medicine Department of the Hospital de Clínicas José de San Martín will be registered. The indications will be compared in the 4 months prior to the incorporation of the SIMDA 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 number of patients that will be included in each stage is 100.
The primary end point is to compare the total number of indications per inpatient, before the availability of the SIMDA 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 hospitalized patients.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 1053
- Patients interned in the medical clinic room of the Hospital de Clínicas José de San Martín
Not provided
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Arm && Interventions
Group Intervention Description DrApp With SIMDA Medication Interaction System of Dr App (SIMDA) There are approximately 100 inpatients in whom the indications were registered through the use of DrApp, AFTER the implementation of the drug interactions detection module (SIMDA).
- Primary Outcome Measures
Name Time Method Prevalence of polypharmacy cases detected in two internal medicine hospitalization units of a University Hospital 1 year Through the electronic medical record called DrApp, the quantity of medicines prescribed to each patient is quantified and used for calculation of polypharmacy prevalence in tha basal period (pre-introduction of SIMDA) and late period (Post introduction of SIMDA).
- Secondary Outcome Measures
Name Time Method Number of total drug interactions per patient and subclassification by severity (in post-SIMDA period). 1 year The addition of the application called SIMDA, will allow detecting the presence of drug interactions and their severity in the second phase. These will be reported as the total number of interactions reported per patient, and subclassificated into number of mild (no need to take action), moderate (require patient monitoring), and severe (possible contraindication) interactions detected per patient.
difference between Number of total drug interactions per patient in the local environment with those reported in the literature at the international level 1 year The difference will be calculated as the number of total drug interactions per patient minus the value (number of drug interaction per patient) reported in the bibliography at international level in similar populations.
SIMDA associated change in the number of total prescribed drug per patient 1 year Change in total prescribed drug per patient will be calculated as the differene between basal total prescribed drug per patient (Pre-SIMDA) minus resulting total prescribed drug per patient (Post-SIMDA)
Trial Locations
- Locations (1)
Hospital de Clínicas José de San Martín
🇦🇷Ciudad Autonoma de Buenos Aire, Capital Federal, Argentina