Malignant Neoplasm Clinical Trial
— TEPIDOfficial title:
Tool to Engage Patients in Discharge (TEPID)
Verified date | July 2020 |
Source | Ohio State University Comprehensive Cancer Center |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
This clinical trial studies how well a checklist tool works in engaging patients in the discharge planning process. Engaging patients in the discharge process may increase participation in the discharge process and improve discharge outcomes, understanding of care after hospitalization, and decrease complications.
Status | Completed |
Enrollment | 450 |
Est. completion date | August 4, 2017 |
Est. primary completion date | August 4, 2017 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 19 Years and older |
Eligibility |
Inclusion Criteria: - Patients fluent in English, conscious, coherent, and alert or have an adult caregiver present that is fluent in English will be identified for the TEPID research project Exclusion Criteria: - Patients discharged to another inpatient facility (hospice, skilled nursing facility, long term acute care hospital [LTACH], or acute rehab) or patients discharged home with hospice will be excluded - Any patients that are transferred to another unit prior to discharge will be excluded |
Country | Name | City | State |
---|---|---|---|
United States | Ohio State University Comprehensive Cancer Center | Columbus | Ohio |
Lead Sponsor | Collaborator |
---|---|
Ohio State University Comprehensive Cancer Center |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Average score from the PADQ-E | A simple analysis of variance (ANOVA) model with floor as a fixed blocking factor treatment (TEPID or no TEPID) as a fixed factor. Unit appears in the model as a nested factor within treatment, and statistical tests will be adjusted for this nesting structure. The main test of interest in each model is the overall effect of treatment, which quantifies the effect of TEPID on the average score for the response. P-values below 0.05 for this effect will be considered statistically significant. | Up to 12 months | |
Primary | Average score from the Readiness for Hospital Discharge Scale | A simple ANOVA model with floor as a fixed blocking factor treatment (TEPID or no TEPID) as a fixed factor. Unit appears in the model as a nested factor within treatment, and statistical tests will be adjusted for this nesting structure. The main test of interest in each model is the overall effect of treatment, which quantifies the effect of TEPID on the average score for the response. P-values below 0.05 for this effect will be considered statistically significant. | Up to 12 months | |
Primary | Emergency department visits | A generalized linear model will be used for the binary responses (readmission and ED visit). | Up to 12 months | |
Primary | Patient satisfaction as measured by the Press Ganey Consumer Assessment of Healthcare Providers and Systems Survey | A simple ANOVA model with floor as a fixed blocking factor treatment (TEPID or no TEPID) as a fixed factor. Unit appears in the model as a nested factor within treatment, and statistical tests will be adjusted for this nesting structure. The main test of interest in each model is the overall effect of treatment, which quantifies the effect of TEPID on the average score for the response. P-values below 0.05 for this effect will be considered statistically significant. | Up to 12 months | |
Primary | Readmission rates | A generalized linear model will be used for the binary responses (readmission and ED visit). | Up to 12 months |
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