Improving Patient Prioritization During Hospital-homecare Transition

NACompletedINTERVENTIONAL
Enrollment

1,915

Participants

Timeline

Start Date

August 1, 2023

Primary Completion Date

April 1, 2024

Study Completion Date

May 1, 2024

Conditions
Diabetes Mellitus, Type 2Congestive Heart FailureObstructive Pulmonary DiseaseDyspneaRenal Failure
Interventions
OTHER

PREVENT clinical decision support

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.

Trial Locations (2)

10032

Columbia University School of Nursing, New York

10033

Visiting Nurse Service of New York, New York

All Listed Sponsors
collaborator

Visiting Nurse Service of New York

OTHER

collaborator

National Institute of Nursing Research (NINR)

NIH

lead

Columbia University

OTHER