CI

At a glance

ClinicalIndex Comparison Record
N/ACompleted· 1,915 enrolled
Drug / intervention
PREVENT clinical decision supportother
Likely dose
Not stated in record
Structured eligibility isn't available for this trial yet — see the full criteria in the Eligibility tab below.

Standardized by ClinicalIndex from the ClinicalTrials.gov record · verify against the source.

Search/NCT04136951
NCT04136951N/ACompleted

Improving Patient Prioritization During Hospital-homecare Transition: A Mixed Methods Study of a Clinical Decision Support Tool

Columbia University·interventional·Posted Oct 23, 2019·Updated Oct 8, 2025

In Brief

A clinical study evaluating PREVENT clinical decision support for Diabetes Mellitus, Type 2 and 4 related conditions. Completed, enrolled 1,915 participants across 2 sites.

Detailed Summary

This research work is focused on building and evaluating one of the first evidence-based clinical decision support tools for homecare in the United States. The results of this study have the potential to standardize and individualize nursing decision making using cutting-edge technology and to improve patient outcomes in the homecare setting.

Study Details

Timeline

N/ACompletedFinished
2020202120222023202420252026
First PostedOct 23, 2019
Enrollment StartAug 1, 2023
Primary CompletionApr 1, 2024
Study CompletionMay 1, 2024
TodayJul 2, 2026
Enrollment to primary: 8 monthsPosted 6.7 years ago

Interventions

PREVENT clinical decision supportother

PREVENT clinical decision support tool consideres five patient risk factors as significant predictors of patient's priority for the first homecare nursing visit: (a) Presence of wounds (either surgical or pressure ulcers); (b) a documented comorbid condition of depression; (c) need for assistive equipment, assistive person, or both for toileting; (d) number of medications; and (e) number of comorbid conditions. Each risk factor was assigned a specific score based on the logistic regression weights. For instance, for a wound (e.g., pressure ulcer, vascular ulcer), the patient received a score of 15 points. For each additional co-morbid condition, one point was added to the final score. Summing the scores for the factors generated a cumulative score. The optimal cut-off point was established based on the regression model performance statistics, indicating that patients with a score greater than 26 points are a high priority for the first nursing visit.