Ohio State University Comprehensive Cancer Center
Columbus, Ohio, 43210, United States
NCT Number: NCT02942524
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.
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Notify Me19 year and older
All sexes
Interventional
Not applicable
Columbus, Ohio, 43210, United States
PRIMARY OBJECTIVES:
I. Measure the impact on discharge and transition satisfaction of utilizing questions from the Consumer Assessment of Healthcare Providers and Systems (CHAPS) patient satisfaction survey.
II. Measure the impact of the Tool to Engage Patients in Discharge (TEPID) on patient's Readiness for Hospital Discharge and Problems After Discharge Questionnaire-English (PADQ-E) results.
III. Measure the impact on decreasing healthcare utilization measures: readmission rates within 30 days from hospital discharge, hospital length of stay of admission in hospital, and emergency department visits within 30 days of hospital discharge.
OUTLINE:
Patients complete the TEPID checklist of items during hospital stay.
After completion of the study, patients are followed up for 35 days.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Complete TEPID
Ancillary studies
Ancillary studies
Time frame: Up to 12 months
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.
Time frame: Up to 12 months
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.
Time frame: Up to 12 months
A generalized linear model will be used for the binary responses (readmission and ED visit).
Time frame: Up to 12 months
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.
Time frame: Up to 12 months
A generalized linear model will be used for the binary responses (readmission and ED visit).
Ohio State University Comprehensive Cancer Center
Other
Tool to Engage Patients in Discharge (TEPID)
Acronym: TEPID
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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