- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03791541
A Study Evaluating the Use of Potential Predictors of Readmission in Hospitalized Medicine Patients
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Many patients are readmitted to the hospital shortly after discharge. Twenty percent of Medicare beneficiaries discharged were re-hospitalized within 30 days at a cost to Medicare estimated at $17.4 billion. This problem does not only affect the elderly. Medicaid enrollees aged 21-64 had 10.7% 30-day readmission rate. Identifying which patients are at highest risk is important for allocating resources to those high risk individuals.
Several studies have attempted to retrospectively identify medical conditions, medications, labs, and vitals associated with increased risk of readmission with different levels of success. Examples of these include the Charlson Comorbidity Index, LACE, and the Comorbidity Polypharmacy Score. Although not always developed for use in predicting readmissions, they have been subsequently associated with this.
While these indices examine objective data, it is thought that health beliefs, abilities, and behaviors can also affect the risk of readmissions. Health literacy in particular has been shown to be associated with 30 day readmissions after an acute myocardial infarction and in general medical patients. Low numeracy has been associated with increased risk of 30 day readmission in patients with acute heart failure.
Inpatient questionnaires are able to identify patients who are more likely than others to be readmitted. Additionally, objective qualities such as insurance status, comorbidities, and admissions within the past year are predictors of readmission. Due to the unique patient populations at different health systems, an institution-specific approach is necessary to analyze the specific factors contributing to readmission. Therefore, a survey will be used to gauge the most predictive factors of readmissions and ED visits, including objective and subjective sections. After further research and modification, the survey will potentially serve as a tool for clinicians to select the best approach to post-discharge care and follow-up.
This pilot will attempt to test a survey for predicting readmission through measurements of health literacy, numeracy, medication adherence, self-efficacy, and tolerance, and in conjunction with co-morbidity indices.
Study Type
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Illinois
-
Chicago, Illinois, United States, 60612
- University of Illinois at Chicago
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Inpatient on Internal Medicine service at UIH (University at Illinois Health Hospital)
- Adults > 18 years of age, fluency in English
Exclusion Criteria:
- Prisoners
- Active illicit substance abuse per admitting History & Physical note in EMR (Electronic Medical Record)
- Admitted for alcohol withdrawal or abuse
- Nursing home resident likely to be discharged back to a nursing home
- Unable to provide informed consent
- Unable to complete survey (e.g., dementia)
- Unable to communicate verbally (aphasia)
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
No Intervention: No Intervention
Only surveys will be done and re admissions tracked.
No additional interventions based on survey results will be done.
|
|
Experimental: Intervention
Pharmacist Services Surveys plus increased outpatient pharmacist/pharmacy student services including but not limited to pre and post clinic visit phone calls, prescription counseling, and helping with adherence and compliance with medications. Increased services will be given based on survey results. |
Additional pharmacist/pharmacy student follow-ups, counseling, and other services
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Number of readmissions after 1 month
Time Frame: 30 days post-discharge
|
Number of readmissions after 30 days post-discharge
|
30 days post-discharge
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Number of readmissions after 2 months
Time Frame: 60 days post-discharge
|
Number of readmissions after 60 days post-discharge
|
60 days post-discharge
|
Collaborators and Investigators
Investigators
- Principal Investigator: Mat Thambi, PharmD, University of Illinois at Chicago
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
Keywords
Other Study ID Numbers
- 2016-0748
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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