Checklist Tool in Engaging Patients in the Discharge Planning Process
TEPID
Tool to Engage Patients in Discharge (TEPID)
2 other identifiers
interventional
450
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Apr 2016
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
April 1, 2016
CompletedFirst Submitted
Initial submission to the registry
October 21, 2016
CompletedFirst Posted
Study publicly available on registry
October 24, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 4, 2017
CompletedStudy Completion
Last participant's last visit for all outcomes
August 4, 2017
CompletedJuly 29, 2020
July 1, 2020
1.3 years
October 21, 2016
July 27, 2020
Conditions
Outcome Measures
Primary Outcomes (5)
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
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
Emergency department visits
A generalized linear model will be used for the binary responses (readmission and ED visit).
Up to 12 months
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
Readmission rates
A generalized linear model will be used for the binary responses (readmission and ED visit).
Up to 12 months
Study Arms (1)
Supportive care (TEPID)
EXPERIMENTALPatients complete the TEPID checklist of items during hospital stay.
Interventions
Eligibility Criteria
You may qualify if:
- 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
You may not qualify if:
- 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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Ohio State University Comprehensive Cancer Center
Columbus, Ohio, 43210, United States
Related Links
MeSH Terms
Conditions
Study Officials
- PRINCIPAL INVESTIGATOR
Lisa Graham
Ohio State University Comprehensive Cancer Center
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
October 21, 2016
First Posted
October 24, 2016
Study Start
April 1, 2016
Primary Completion
August 4, 2017
Study Completion
August 4, 2017
Last Updated
July 29, 2020
Record last verified: 2020-07