ClinicalTrials.gg
Enrolling by invitationNCT07279376Updated Jan 27, 2026

Evaluating an Algorithm-Based Implementation Strategy to Improve HIV Care Outcomes

An interventional study of predictive emergency room alerts (pERA) and Standard of care in HIV (Human Immunodeficiency Virus), sponsored by Hunter College of City University of New York. Enrolling by invitation at 1 site in United States. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-01-27.

Primary conditionAcquired Immunodeficiency Syndrome(the registry's first term)UnverifiedIs this wrong?The registry often attaches Acquired Immunodeficiency Syndrome to studies about something else, and this study's title and listed conditions do not name it. No better condition is named, so the registry's term is kept.

Sponsored by Hunter College of City University of New York · Not applicable, Interventional, and Treatment

Phase
Not applicable
Study type
Interventional
Enrollment
2,600
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Study summary

This study tests a strategy for helping Care Management Agencies prioritize patients with HIV (PWH) for outreach and support. Under the new strategy, care managers are given a list of highest-priority patients who have been identified by a computer algorithm as being at high risk of going to the emergency room in the next two weeks. This strategy is compared to traditional (standard of care) care management, in which care managers reach out to patients based on a set schedule and their clinical judgement (but not based on a computerized report). We are looking at whether the use of the computer report helps care managers reach the right patients at the right time, preventing them from having to go to the emergency room.

Read the detailed description

Comprehensive Care Management and Care Coordination (CCM/CC) is a medical case management intervention with demonstrated effectiveness in reducing ED visits and hospitalization for PWH, and improving both health outcomes (viral load, CD4 count) and retention in care. However, despite CCM/CC's effectiveness, there are persistent challenges to its implementation. This project is based on the scientific premise that the effectiveness of the CCM/CC intervention can be greatly improved by utilizing a data-driven implementation strategy that optimizes timely provision of CCM/CC services to the patients who need it most. Our community-based collaborator, Comprehensive Care Management Partners (CCMP) Health Home, has developed and validated a machine-learning algorithm that can reliably predict which of its PWH patients are most likely to visit the ED in the next two weeks. In this project, we will apply this algorithm as a targeted implementation strategy for CCM/CC, focusing service provision on the PWH who need it most, when they need it most. Our core hypothesis (supported by preliminary studies data) is that this "just-in-time" strategy for implementing a care management intervention will overcome both provider-level barriers to the provision of CCM/CC services and patient-level barriers to the receipt of HIV treatment and care. We will conduct a Hybrid 2 implementation-effectiveness trial, guided by the RE-AIM implementation science framework and the behavioral economics theory of Scarcity to collect rigorous data on the impact of this algorithm-driven implementation strategy on the reach, effectiveness, adoption, implementation and maintenance of the CCM/CC intervention

02

Conditions studied

  • HIV (Human Immunodeficiency Virus)

Browse trials for

Keywords

  • HIV
  • emergency room
  • implementation science
  • machine-learning algorithm
03

In context

Acquired Immunodeficiency Syndrome Unverified

3,035 studies on the registry are indexed under Acquired Immunodeficiency Syndrome; 306 are open to participants now.

This study's planned enrollment of 2,600 is above the median of 96 across 2,251 interventional studies indexed under Acquired Immunodeficiency Syndrome.

Browse Acquired Immunodeficiency Syndrome studies →

Lead sponsor

Hunter College of City University of New York is the lead sponsor of 36 studies on the registry; 9 are open to participants now.

Compared within Acquired Immunodeficiency Syndrome, the registry's first condition term, which may not be this study's main condition. Counted across the registry records on this site, refreshed daily. How we classify →

04

Who can participate

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

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Participants must be members of one of the Care Management Agencies that comprise the Community Care Management Partners (CCMP) Health Home
  • Participants must be living with

Exclusion criteria

Exclusion Criteria:

  • None, other than those listed above.
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

HIV

The human immunodeficiency virus, which weakens the immune system.

Many studies now accept people whose HIV is controlled on treatment, judged by the viral load and the CD4 count. Check the limits this study sets.

05

Study design

Phase
Not applicable
Primary purpose
Treatment
Allocation
Randomized
Intervention model
Crossover assignment
Masking
None (open label)
Enrollment
2,600 participants (estimated)

Study arms

  • Active comparator
    Predictive Emergency Room Alerts (perA)Implementation Strategy

    Refers to patients within Care Management Agencies that have been randomized to use the pERA implementation strategy to delivery CCM/CC during that study period.

    Other: predictive emergency room alerts (pERA)

  • Other
    Standard of Care Implementation Strategy

    Refers to patients in Care Management Agencies that have been randomized to use their standard of care implementation strategy to deliver CCM/CC during that study period.

    Other: Standard of care

Interventions

  • Otherpredictive emergency room alerts (pERA)

    pERA is a machine-learning algorithm-driven implementation strategy that identifies patients at higher risk of emergency room visits and alerts the care manager to follow-up with them.

  • OtherStandard of care

    Care managers interact with patients according to their standard of care protocols

06

What researchers measure

Primary outcomes

  1. ER visits

    Number of ER visits made by patients

    Time frame: Each 18 month cluster period (36 months total)

  2. Hospitalizations

    Number of days of Hospitalization

    Time frame: Each 18 month Cluster Period (36 months total)

  3. Viral Suppression

    Number of timepoints at which patient was virally suppressed

    Time frame: Each 18 month cluster period (36 months total)

  4. CD4 Count

    CD4 Level at each data collection timepoint

    Time frame: Each 18 month Cluster Period (36 months total)

07

Study locations

1 site
  • Community Care Management Partners Health Home
    New York, New York 10016, United States
08

References and documents

Individual participant data

Plan to share: No — State health department requirements regarding these electronic medical record data prohibit sharing IPD.

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jan 27, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07279376
Lead sponsor
Hunter College of City University of New York
Responsible party
Sarit Golub (Distinguished Professor, Hunter College of City University of New York) — Principal investigator
First posted
Dec 12, 2025
Start date
Nov 18, 2025
Primary completion
Feb 2029 (estimated)
Completion
Aug 2029 (estimated)
Last update
Jan 27, 2026

Study contacts

Sarit A. Golub, PhD, MPH
principal investigator · Hunter College of The City University of New York

Oversight

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

Interested in this study?

Eligibility is decided by the study team. Share this record with your doctor or contact the team directly.

No contact was published for this record. The registry link below has the sponsor’s details.

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion