Tool to Engage Patients in Discharge (TEPID)
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 450
- 试验地点
- 2
- 主要终点
- Readmission rates
研究概览
简要总结
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.
详细描述
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:
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Supportive Care
- 盲法
- None
入排标准
- 年龄范围
- 19 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •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
排除标准
- •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
结局指标
主要结局
Readmission rates
时间窗: Up to 12 months
A generalized linear model will be used for the binary responses (readmission and ED visit).
Patient satisfaction as measured by the Press Ganey Consumer Assessment of Healthcare Providers and Systems Survey
时间窗: 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.
Average score from the Readiness for Hospital Discharge Scale
时间窗: 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.
Average score from the PADQ-E
时间窗: 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.
Emergency department visits
时间窗: Up to 12 months
A generalized linear model will be used for the binary responses (readmission and ED visit).
次要结局
未报告次要终点
研究者
Lisa Graham
Principal Investigator
Ohio State University Comprehensive Cancer Center