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Clinical Trials/NCT05336565
NCT05336565RecruitingNot Applicable

Incidence of Prescribing Potentially Inappropriate Medications to Older Cardiovascular Patients During COVID-19 Pandemics According to Medical Information System BARS

Tomsk National Research Medical Center of the Russian Academy of Sciences1 site in 1 country1,000 target enrollmentStarted: July 1, 2022Last updated:
Conditions

Trial Snapshot

Phase
Not Applicable
Status
Recruiting
Enrollment
1,000
Locations
1
Primary Endpoint
Incidence of potentially inappropriate medication prescription

Study Overview

Brief Summary

The aim of the study is to assess the incidence of potentially inappropriate medication (PIM) administration, polypharmacy, and potential drug-drug-interactions (PDDIs) in cardiovascular patients enrolled in the reimbursement program in the time of coronavirus disease (COVID-19) pandemic. Medical information system (MIS) "BARS" will be used for inclusion and retrieval of relevant data of cardiovascular patients enrolled in the reimbursement programs in the Tomsk Region. The incidence rates of PIM prescriptions will be assessed in patients aged 75 years and older. Potentially inappropriate medications will be defined according to 2015 Beers criteria. Polypharmacy will be defined as being administered five or more medications at the same time. PDDIs will be checked with Medscape Drug Interaction Checker and rated as 'Contraindicated', 'Serious', and 'Requiring Monitoring'. Combined analysis of retrospective and prospective occurrences of study parameters will be performed. PIM-BARS will evaluate the incidence rates and patterns of PIM prescriptions, polypharmacy, and PDDIs in elderly cardiovascular patients enrolled in the reimbursement program in the time of COVID-19 pandemic.

Detailed Description

Objective

It is essential to improve patient safety by determining an individual's exposure to potentially inappropriate drugs.

This study will be performed to find out the incidence of potentially inappropriate medication (PIM) administration, polypharmacy, and potential drug-drug-interactions (PDDIs) in cardiovascular patients enrolled in the reimbursement program in the time of COVID-19 pandemic.

Method: Medical information system (MIS) "BARS" will be used for inclusion and retrieval of relevant data of cardiovascular patients enrolled in the reimbursement programs in the Tomsk Region. Incidence of PIM administration, polypharmacy, and PDDIs in the time of COVID-19 pandemic will be studied. Brief characteristics of MIS "BARS" implemented in the Diagnostic and Consultation Center of Cardiology Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences (NRMC) are as follows: MIS "BARS" is a universal solution for automatization of activities of medical institutions of various specializations and scale ranging from small highly specialized clinics to multi-specialty hospitals and medical centers. The system is the united information space for administrative, treatment-and-diagnostic, and financial-and-economic processes of medical institution. MIS "BARS" is a cloud-based solution, and the deployment of the system in cloud allows getting the remote access to working places from any location. The system is built based on module principle. The system implements automatic control over provision of medical services allowing for feedback with practical healthcare workers. The system is integrated with other information systems and medical equipment. The advantage of the system consists in a capability to assess economic element of study parameters. Technical characteristics of MIS "BARS": The system has a centralized data base with provision of protected remote access for users. The system is organized based on principle of three-tiered architecture: Web browser, Web-server, and database server. ORACLE is used as a database server, which provides the highest data security, scalability, fall-over protection, and the greatest capabilities for integration. Built-in mechanisms of functional system expansion allow to perform advanced customization.

Expected Results: Patient demographics, clinical data, instrumental examination data, and medication prescriptions will be collected using electronic medical records stored in medical information system (MIS) "BARS". The incidence rates of PIM prescriptions will be assessed. Potentially inappropriate medications will be defined according to 2015 Beers criteria. Polypharmacy will be defined as being administered five or more medications at the same time. PDDIs will be checked with Medscape Drug Interaction Checker and rated as 'Contraindicated', 'Serious', and 'Requiring Monitoring'. Combined analysis of retrospective and prospective occurrences of study parameters will be performed.

Conclusion: PIM-BARS will evaluate the incidence rates and patterns of PIM prescriptions, polypharmacy, and PDDIs in elderly cardiovascular patients enrolled in the reimbursement program in the time of COVID-19 pandemic. This effort will contribute to prevention of medication errors by inappropriate prescribing.

Study Design

Study Type
Observational
Observational Model
Cohort
Time Perspective
Other

Eligibility Criteria

Ages
18 Years to — (Adult, Older Adult)
Sex
All
Accepts Healthy Volunteers
No

Inclusion Criteria

  • •established diagnosis of cardiovascular disease
  • •age of 18 years and older
  • •enrollment in the reimbursement program in Tomsk Region

Exclusion Criteria

  • •age of 17 years and younger

Outcomes

Primary Outcomes

Incidence of potentially inappropriate medication prescription

Time Frame: Five years

Incidence rate of potentially inappropriate medication prescriptions (PIM) will be assessed as annual percentage (%) of patient visits to medical doctors resulting in PIM prescription registered in medical information system BARS.

Secondary Outcomes

  • Potential drug-drug interactions (PDDIs)(Five years)
  • Polypharmacy rate(Five years)
  • Incidence of pharmacogenetic drug administration (percentage)(Five years)

Investigators

Sponsor Class
Other
Responsible Party
Principal Investigator
Principal Investigator

Nina D. Anfinogenova

Leading Research Scientist

Tomsk National Research Medical Center of the Russian Academy of Sciences

Study Sites (1)

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