Study Stopped
Enrollment difficulties during the COVID pandemic
Drug Interactions in Outpatients.
Evaluation of a Drug Interactions Software (Interax-AI) in Outpatients.
1 other identifier
interventional
200
1 country
3
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, (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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Aug 2019
Longer than P75 for not_applicable
3 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
May 7, 2019
CompletedFirst Posted
Study publicly available on registry
May 9, 2019
CompletedStudy Start
First participant enrolled
August 1, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2022
CompletedMay 25, 2022
May 1, 2022
2.3 years
May 7, 2019
May 18, 2022
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Prevalence of polypharmacy cases detected in outpatients of outpatient clinics of doctors using the electronic medical record application DrApp
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 Interax-AI) and late period (Post introduction of Interax-AI).
1 year
Secondary Outcomes (3)
Interax-AI associated change in the number of total prescribed drug per patient
1 year
Number of total drug interactions per patient and subclassification by severity (in post-Interax-AI period).
1 year
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
Study Arms (2)
DrApp Without Interax-AI
NO INTERVENTIONThere are approximately 100 outpatients in whom the indications were registered through the use of DrApp, before the implementation of the drug interactions detection module.
DrApp With Interax-AI
EXPERIMENTALThere are approximately 100 outpatients in whom the indications were registered through the use of DrApp, AFTER the implementation of the drug interactions detection module (Interax-AI). Intervention: Device: Medication Interaction System of Dr App (Interax-AI)
Interventions
Interax-AI is a drug interactions detection module for the electronic clinical history software DrApp
Eligibility Criteria
You may qualify if:
- Outpatients followed in outpatient clinics of doctors using the electronic medical record application DrApp
You may not qualify if:
- Lack of registration of medications used by the patient in the DrApp application
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Buenos Aireslead
- DrApp S.A.collaborator
Study Sites (3)
Hospital de Clínicas José de San Martín
Buenos Aires, Buenos Aires F.D., 1121, Argentina
Centro de Vigilancia y Seguridad de Medicamentos
Ciudad Autonoma de Buenos Aire, Buenos Aires F.D., C1121ABG, Argentina
Instituto de Investigaciones Cardiológicas Prof. Dr. Alberto C. Taquini
Ciudad Autonoma de Buenos Aire, Buenos Aires F.D., C1121, Argentina
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- QUADRUPLE
- Who Masked
- PARTICIPANT, CARE PROVIDER, INVESTIGATOR, OUTCOMES ASSESSOR
- Purpose
- PREVENTION
- Intervention Model
- SEQUENTIAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Head of Pharmacovigilance Program
Study Record Dates
First Submitted
May 7, 2019
First Posted
May 9, 2019
Study Start
August 1, 2019
Primary Completion
December 1, 2021
Study Completion
December 1, 2022
Last Updated
May 25, 2022
Record last verified: 2022-05
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, ICF
- Time Frame
- 1 Year
There is an intention to publish all the results obtained and share them with other researchers.