RISK ANALYSIS AND MANAGEMENT FOR MEDICATION OPTIMIZATION IN THE PREOPERATIVE AND POSTOPERATIVE PERIOD OF CARDIAC SURGICAL PATIENTS

January 14, 2022 updated by: Burcu Kelleci Cakir, Hacettepe University
Optimal perioperative and long-term success in cardiac-surgery require precise management of drug treatment. This study was aimed to determine prevalence, types and associated factors of drug related problems (DRPs) at both preoperative and postoperative stages in patients at cardiac-surgery by using risk analysis method.

Study Overview

Detailed Description

Cardiac surgery becomes a life-saving option in patients once medical treatments become inadequate. In order to achieve optimal perioperative and long- term success in cardiac surgery, drug treatment should be managed precisely. Patients with cardiovascular diseases are at risk for developing drug related problems (DRPs) due to polypharmacy and having received high-alert medications, such as antiarrhythmics or antithrombotic agents. In addition, type of operation (multiple artery bypass or combined valve procedures), existence of chronic atherosclerotic diseases (such as diabetes mellitus, hypertension), length of stay (LOS) at hospital, frailty, changes in medications for unstable cardiac conditions, incomplete or inadequate history for medication at hospital admission, transition between wards by different healthcare teams and transfer of discrepancies throughout entire perioperative period contributes to increased risk of DRPs in patients at cardiac surgery. It has been shown that over one third of patients suffer from DRPs during hospitalization. Clinical pharmacists are in a position to identify and prevent DRPs, therefore can help to provide optimal pharmaceutical treatment by performing medication reconciliation, improving patient compliance, monitoring of laboratory values and conducting patient education for surgical patients.However, there is limited information about prevalence and risk factors of DRPs in patients at cardiac surgery, in particular with perioperative stages. Majority of studies regarding DRPs have been conducted in specific populations such as elderly, pediatrics or in general medicine. Therefore this study was aimed to determine prevalence, types and associated factors of drug related problems (DRPs) at both preoperative and postoperative stages in patients at cardiac-surgery by using risk analysis method.

Study Type

Interventional

Enrollment (Actual)

200

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Altındağ
      • Ankara, Altındağ, Turkey, 06100
        • Hacettepe University Faculty of Pharmacy Department of Clinical Pharmacy

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Patients are aged 18 years or older
  • admitted to the hospital for a planned elective cardiac surgery during the study period were considered eligible.

Exclusion Criteria:

  • Patients who refused to participate,
  • transferred from different wards
  • have urgent surgery planned were excluded

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Prevention
  • Allocation: Non-Randomized
  • Interventional Model: Sequential Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
No Intervention: Observational part
This part covers the list for comprehensive medication use at admission, medication reconciliation and medication review at preoperative surgical ward, postoperative intensive care, postoperative surgical ward and discharge made by clinical pharmacist. The identification and classification of drug related problems was made at each ward according to PCNE classification system. The expert panel (2 surgeon, 2 nurse, 1 pharmacist) scored all the drug related problems as a part of the risk analysis model development. Patients quality of life, nutritional status, cognitive functions and frailty status also recorder at admission, discharge and 1 month after surgery.
Experimental: Interventional part
This part covers the list for comprehensive medication use at admission, medication reconciliation and medication review at preoperative surgical ward, postoperative intensive care, postoperative surgical ward and discharge made by clinical pharmacist. Clinical pharmacist made recommendation about drug related problems regarding solutions, record intervention type and problem status differently from observational part. As a component of the risk analysis model the affect of clinical pharmacist was shown clearly. Patients quality of life, nutritional status, cognitive functions and frailty status also recorder at admission, discharge and 1 month after surgery.
Clinical pharmacist's recommendation to physicians about drug related problems

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Obtaining drug related problems preoperative and postoperative periods
Time Frame: 6 months (1 November 2019-30 March 2020)
Obtaining valid drug related problems and their characteristic is the primary outcome as a part of the risk analysis.
6 months (1 November 2019-30 March 2020)
Building risk analysis model
Time Frame: 3 months (30 March 2020-30 June 2020)
In line with the valid drug related problems expert panel build the model
3 months (30 March 2020-30 June 2020)
Obtaining clinical pharmacist affect
Time Frame: 6 months (1 August 2020- 30 January 2021)
Obtaining clinical pharmacist affect as a part of the risk analysis model
6 months (1 August 2020- 30 January 2021)

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Obtaining clinical pharmacist intervention on other factors
Time Frame: 6 months (1 August 2020- 30 January 2021)
the affect of this model on quality of life, nutritional status, fraility status, hospital mortality rate, length of hospital stay, lenght of intensive care unit stay.
6 months (1 August 2020- 30 January 2021)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

November 1, 2019

Primary Completion (Actual)

June 30, 2021

Study Completion (Actual)

June 30, 2021

Study Registration Dates

First Submitted

January 14, 2022

First Submitted That Met QC Criteria

January 14, 2022

First Posted (Actual)

January 27, 2022

Study Record Updates

Last Update Posted (Actual)

January 27, 2022

Last Update Submitted That Met QC Criteria

January 14, 2022

Last Verified

January 1, 2022

More Information

Terms related to this study

Other Study ID Numbers

  • Clinical Pharmacy

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

IPD Plan Description

This will evaluate upon request

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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