- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04181775
Effectiveness of an ADE-related Hospitalization Risk Prediction Tool for Patients (ADE-RED)
Effectiveness of an ADE-related Hospitalization Risk Prediction Tool for Patients Discharged From the Emergency Department (ADE-RED)
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
There has been considerable attention placed on adverse drug events (ADEs) and their effects on readmission rates worldwide. Several studies have tried to identify the drugs most commonly responsible for ADEs, high-risk patient populations, and the causes of these ADEs. Some of the causes that have been postulated include the aging population, increasing number of drugs on the market, and a troubling upward trend in polypharmacy. The reported rates of ADE-related hospitalizations have varied from study to study. Kongkaew et al. estimated around 5% of all hospital admissions are the result of an adverse drug reaction (ADR), which is a subtype of ADEs. Meanwhile, Shehab et al. estimated approximately 27.3% of emergency department (ED) visits for ADEs result in hospitalization.
Unfortunately, practitioners may exacerbate the problem by prescribing additional pharmacotherapy for conditions caused by an unrecognized ADE. Such circumstances can lead to additional cost and harm to patients. However, pharmacists are uniquely qualified to recognize and address potential ADEs through pharmacist-led medication reconciliation (PLMR). PLMR is the process in which a pharmacist produces an accurate list of medications a patient is taking and compares that list against the patient's documented admission, transfer, and/or discharge orders. Several years of education and training to learn the pharmacokinetic and pharmacokinetic characteristics of a wide variety of medications, as well as any potential side effects, have given pharmacists the skills to detect, assess, and understand ADEs. Many institutions have implemented PLMRs within specific hospital units, such as the ED, in an effort to increase cost savings to the patient and the health care institution.
A meta-analysis of patients with preventable ADEs found that as much as 52% of ADEs, present at the time of hospitalization or an emergency visit, were preventable (8). This highlights the need to produce a tool to predict patients at risk for ADE-related hospitalizations. There have been several ADE risk prediction initiatives developed to identify high risk patients (9-17). Many of these risk prediction tools, such as the Prediction of Hospitalization due to ADRs in Elderly Community-Dwelling Patients (PADR-EC) score and the Brighton Adverse Drug Reactions Risk (BADRI) model, focused on older patients, hospitalized patients, or both. A focus on prediction tools in older adults is reasonable due to ADE-related hospitalization rates among adults 65 years or older, being seven times higher than adults younger than 65 years old (6). However, there is limited information in risk scoring tools for the general public who present to the ED and are at high risk of an ADE. In 2017, a Transitions of Care pharmacy resident at Methodist Dallas Medical Center (MDMC) developed a risk scoring tool to help identify patients in the ED who were at high risk for an ADE-related hospitalization. The scoring tool, which was named the ADE-RED score, took into account the patient's age, presence of polypharmacy, specific high- risk medications, number of previous ED visits, comorbidities, and the reason for their current visit. A score of 12 or more alerted ED pharmacists to perform a PLMR and to make necessary interventions and recommendations to medical staff. Therefore the ADE-RED program has the opportunity to fill a gap in the care for patients who may be hospitalized or return to the ED due to a preventable ADE.
This study will be conducted to determine whether the ADE-RED score can reduce the incidence of ADE- related readmissions compared to the incidence of such readmissions as observed from sister facilities within the Methodist Health System (MHS) and to determine whether the ADE-RED score can predict patients at risk of readmission.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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-
Texas
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Dallas, Texas, United States, 75203
- Methodist Dallas Medical Center
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Patients admitted to the hospital with a prior ED visit within the previous 30 days
- Patients presenting to the ED with a prior ED visit within the previous 30 days
Exclusion Criteria:
- Patients without PTA medications at the time of initial ED presentation
Study Plan
How is the study designed?
Design Details
- Observational Models: Case-Only
- Time Perspectives: Retrospective
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Incidences of ADE-related readmission within 30 days of prior ED visit.
Time Frame: one month period in March 2019
|
Incidences of ADE-related readmission within 30 days of prior ED visit.
|
one month period in March 2019
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Percentage of patients who were readmitted who did or did not have an ADE-RED score at initial ED visit.
Time Frame: one month period in March 2019
|
Percentage of patients who were readmitted who did or did not have an ADE-RED score at initial ED visit.
|
one month period in March 2019
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Ilka Ratsaphangthong, PharmD, Methodist Dallas Medical Center
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 060.PHA.2019.A
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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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