CClinicalTrials.gg
CompletedNCT04136951PREVENTUpdated Oct 8, 2025Results posted

Improving Patient Prioritization During Hospital-homecare Transition

An interventional study of PREVENT clinical decision support in Diabetes Mellitus, Type 2, Congestive Heart Failure and Obstructive Pulmonary Disease, sponsored by Columbia University. Completed at 2 sites in United States. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2025-10-08.

Sponsored by Columbia University · Not applicable, Interventional, and Screening

Phase
Not applicable
Study type
Interventional
Enrollment
1,915
Allocation
Not applicable
Ages
18 Years and older
Sex
All
01

Study 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.

Read the detailed description

Each year, more than 5 million patients are admitted to the approximately 12,000 homecare agencies across the United States. About 20% of homecare patients are rehospitalized during the homecare episode, with as many as 68% of these rehospitalizations occurring within the first two weeks of services. A significant portion of these rehospitalizations may be prevented by timely and appropriately targeted allocation of homecare services. The first homecare nursing visit is one of the most critical steps of the homecare episode. This visit includes an examination of the home environment, a discussion regarding whether a caregiver is present, an assessment of the patient's capacity for self-care, and medication reconciliation. A unique care plan is created based on this evaluation of the patient's needs. Hence, appropriate timing of the first visit is crucial, especially for patients with urgent healthcare needs. However, nurses often have very limited and inaccurate information about incoming patients and patient priority decisions vary significantly between nurses.

The investigators developed an innovative decision support tool called "Priority for the First Nursing Visit Tool" (PREVENT) to assist nurses in prioritizing patients in need of immediate first homecare nursing visits. In a recent efficacy pilot study of PREVENT, high-risk patients received their first homecare nursing visit a half day sooner as compared to the control group, and 60-day rehospitalizations decreased by almost half as compared to the control group. The proposed study assembles a strong interdisciplinary team of experts in health informatics, nursing, homecare, and sociotechnical disciplines to evaluate PREVENT in a pre-post intervention effectiveness study. Specifically, the study aims are: Aim 1) Evaluate the effectiveness of the PREVENT tool on process and patient outcomes. Using survival analysis and logistic regression with propensity score matching the researchers will test the following hypotheses: Compared to not using the tool in the pre-intervention phase, when homecare clinicians use the PREVENT tool, high risk patients in the intervention phase will: a) receive more timely first homecare visits and b) have decreased incidence of rehospitalization and have decreased emergency department (ED) use within 60 days. Aim 2) Explore PREVENT's reach and adoption by the homecare admission staff and describe the tool's implementation during homecare admission. Aim 2 will be assessed using mixed methods including homecare admission staff interviews, think-aloud simulations, and analysis of staffing and other relevant data.

This innovative study addresses several National Institute of Nursing Research strategic priorities, such as promoting innovation and using technology to improve health. Mixed methods will enable us to gain in-depth understanding of the complex socio-technological aspects of hospital-homecare transition.

02

Conditions studied

  • Diabetes Mellitus, Type 2
  • Congestive Heart Failure
  • Obstructive Pulmonary Disease
  • Dyspnea
  • Renal Failure

Keywords

  • home health
  • clinical decisions support
  • care transitions
  • patient prioritization
  • health informatics
  • home care
03

In context

Diabetes Mellitus, Type 2

9,359 studies on the registry are indexed under Diabetes Mellitus, Type 2; 1,318 are open to participants now.

This study's enrollment of 1,915 is above the median of 80 across 7,525 interventional studies indexed under Diabetes Mellitus, Type 2.

Browse Diabetes Mellitus, Type 2 studies →

Lead sponsor

Columbia University is the lead sponsor of 1,103 studies on the registry; 193 are open to participants now.

Of its 172 completed or terminated interventional studies of FDA-regulated products, 142 (83%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Eligibility criteria

Aim 1:

Inclusion criteria:

  1. being a patient of either NewYork-Presbyterian (NYP)/Columbia University Irving Medical Center or NewYork-Presbyterian Allen Hospital;
  2. being referred to Visiting Nurse Services of New York (VNSNY) homecare services
  3. 18 years old or older.

Exclusion criteria:

All other patients are going to be excluded.

Aim 2 :

Inclusion criteria:

  1. working as an admission staff for VNSNY
  2. 18 years old or older.

Exclusion criteria:

All other staff members are going to be excluded.

For both study aims, there will be no exclusion based on sex, race, or ethnic group.

05

Study design

Phase
Not applicable
Primary purpose
Screening
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
1,915 participants (actual)

Study arms

  • Experimental
    Experimental phase

    The PREVENT recommendation about patient homecare priority will be shared in homecare referral communication with the homecare intake coordinators. Homecare intake coordinators will be instructed to prioritize high risk patients for care.

    Other: PREVENT clinical decision support

Interventions

  • OtherPREVENT 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.

06

What researchers measure

Primary outcomes

  1. Number of Rehospitalizations Within 60 Days After Hospital Discharge

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

    Time frame: Up to 60 days after hospital discharge

Other outcomes

  1. System Usability Scale (SUS) Score

    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.

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

07

Results

Posted Oct 8, 2025

Participant flow

Pre-intervention Phase (3 Months)
Participant flow — Pre-intervention Phase (3 Months)
MilestonePREVENT
Started1915
Completed1915
Not completed0
Intervention Phase (3 Months)
Participant flow — Intervention Phase (3 Months)
MilestonePREVENT
Started1915
Completed1915
Not completed0

Outcome measures

PrimaryNumber of Rehospitalizations Within 60 Days After Hospital Discharge

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

Time frame:
Up to 60 days after hospital discharge
Reported as:
Number · rehospitalizations
Number of Rehospitalizations Within 60 Days After Hospital Discharge
rehospitalizationsPREVENT
Number of Rehospitalizations Within 60 Days After Hospital Discharge807
Other pre-specifiedSystem Usability Scale (SUS) Score

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.

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

No measurements were reported for this outcome.

Adverse events

Collected over 60 days following each home healthcare admission. Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
PREVENT0/1,915 (0%)0/1,915 (0%)0/1,915 (0%)

Baseline characteristics

Age, Categorical
Age, Categorical(Participants)PREVENT
<=18 years0
Between 18 and 65 years0
>=65 years1915
Sex: Female, Male
Sex: Female, Male(Participants)PREVENT
Female1113
Male802
Race/Ethnicity, Customized
Race/Ethnicity, Customized(Participants)PREVENT
Black375
Hispanic923
White492
Other125
Unknown/Not reported0
Region of Enrollment
Region of Enrollment(Participants)PREVENT
United States1915
08

Study locations

2 sites
  • Columbia University School of Nursing
    New York, New York 10032, United States
  • Visiting Nurse Service of New York
    New York, New York 10033, United States
09

References and documents

Publications

  • Topaz M, Trifilio M, Maloney D, Bar-Bachar O, Bowles KH. Improving patient prioritization during hospital-homecare transition: A pilot study of a clinical decision support tool. Res Nurs Health. 2018 Oct;41(5):440-447. doi: 10.1002/nur.21907. Epub 2018 Sep 11. PubMed 30203417 ↗
  • Zolnoori M, McDonald MV, Barron Y, Cato K, Sockolow P, Sridharan S, Onorato N, Bowles K, Topaz M. Improving Patient Prioritization During Hospital-Homecare Transition: Protocol for a Mixed Methods Study of a Clinical Decision Support Tool Implementation. JMIR Res Protoc. 2021 Jan 22;10(1):e20184. doi: 10.2196/20184. PubMed 33480855 ↗

Study documents

  • Protocol and statistical analysis plan · Mar 13, 2023

Documents are hosted by the registry — open the source record to download them.

Individual participant data

Plan to share: No — No sharing planned

10

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Oct 8, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
11

Registry details

Key details

Study ID
NCT04136951
Lead sponsor
Columbia University
Collaborators
Visiting Nurse Service of New York, National Institute of Nursing Research (NINR)
Responsible party
Maxim Topaz (Associate Professor, Columbia University) — Principal investigator
First posted
Oct 23, 2019
Start date
Aug 1, 2023
Primary completion
Apr 1, 2024
Completion
May 1, 2024
Results posted
Oct 8, 2025
Last update
Oct 8, 2025

Study contacts

Maxim Topaz, PhD
principal investigator · Associate Professor of Nursing at CUMC

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Sep 2025. You cannot join it, but the record below documents what was studied.

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