Trial Outcomes & Findings for Improving Patient Prioritization During Hospital-homecare Transition (NCT NCT04136951)

Last Updated: 2025-10-08

Results Overview

To learn if using PREVENT tool results in decreased incidence of rehospitalization \[defined as recurrent hospital admission within 60 days from hospital discharge\]

Recruitment status

COMPLETED

Study phase

Target enrollment

1915 participants

Primary outcome timeframe

Up to 60 days after hospital discharge

Results posted on

2025-10-08

Participant Flow

Unit of analysis: home healthcare admissions

Participant milestones

Participant milestones
Measure	PREVENT Data will be calculated from patients referred to the Visiting Nurse Service of New York from the 2 hospitals (NewYork-Presbyterian Hospital/Columbia University Irving Medical Center and NYP Allen Hospital) in a 3 month period during the preintervention phase (scores not shared) and a 3 month intervention phase (scores shared).
Pre-intervention Phase (3 Months) STARTED	1915 1048
Pre-intervention Phase (3 Months) COMPLETED	1915 1048
Pre-intervention Phase (3 Months) NOT COMPLETED	0 0
Intervention Phase (3 Months) STARTED	1915 970
Intervention Phase (3 Months) COMPLETED	1915 970
Intervention Phase (3 Months) NOT COMPLETED	0 0

Reasons for withdrawal

Withdrawal data not reported

Baseline Characteristics

Improving Patient Prioritization During Hospital-homecare Transition

Baseline characteristics by cohort

Baseline characteristics by cohort
Measure	PREVENT n=1915 Participants Data will be calculated from patients referred to the Visiting Nurse Service of New York from the 2 hospitals (NewYork-Presbyterian Hospital/Columbia University Irving Medical Center and NYP Allen Hospital) in a 3 month period during the preintervention phase (scores not shared) and a 3 month intervention phase (scores shared).
Age, Categorical <=18 years	0 Participants n=5 Participants
Age, Categorical Between 18 and 65 years	0 Participants n=5 Participants
Age, Categorical >=65 years	1915 Participants n=5 Participants
Sex: Female, Male Female	1113 Participants n=5 Participants
Sex: Female, Male Male	802 Participants n=5 Participants
Race/Ethnicity, Customized Black	375 Participants n=5 Participants
Race/Ethnicity, Customized Hispanic	923 Participants n=5 Participants
Race/Ethnicity, Customized White	492 Participants n=5 Participants
Race/Ethnicity, Customized Other	125 Participants n=5 Participants
Race/Ethnicity, Customized Unknown/Not reported	0 Participants n=5 Participants
Region of Enrollment United States	1915 Participants n=5 Participants

PRIMARY outcome

Timeframe: Up to 60 days after hospital discharge

To learn if using PREVENT tool results in decreased incidence of rehospitalization \[defined as recurrent hospital admission within 60 days from hospital discharge\]

Outcome measures

Outcome measures
Measure	PREVENT n=1915 Participants Data will be calculated from patients referred to the Visiting Nurse Service of New York from the 2 hospitals (NewYork-Presbyterian Hospital/Columbia University Irving Medical Center and NYP Allen Hospital) in a 3 month period during the preintervention phase (scores not shared) and a 3 month intervention phase (scores shared).
Number of Rehospitalizations Within 60 Days After Hospital Discharge	807 rehospitalizations

OTHER_PRE_SPECIFIED outcome

Timeframe: 30-60 days after clinical decision support tool (PREVENT) implementation

Population: Due to operational constraints during implementation, the SUS survey was not administered to nursing staff.

Nurses' usability perception of the clinical decision support tool (PREVENT) will be assessed by using the System Usability Scale (SUS). The SUS is a 10 item questionnaire, each with a five-point Likert scale, allowing users to rate their agreement or disagreement. The SUS score is calculated by converting the raw scores from the Likert scale and then multiplying the sum by 2.5, resulting in a score between 0 and 100, where a higher score indicates greater perceived usability.

Outcome measures

Outcome data not reported

Adverse Events

PREVENT

Serious events: 0 serious events

Other events: 0 other events

Deaths: 0 deaths

Serious adverse events

Adverse event data not reported

Other adverse events

Adverse event data not reported

Additional Information

Maxim Topaz, PhD, Elizabeth Standish Gill Associate Professor of Nursing

Columbia University

Phone: 6462760460

Email: [email protected]

Results disclosure agreements

Principal investigator is a sponsor employee
Publication restrictions are in place