Actively Recruiting

Phase Not Applicable
Age: 18Years +
All Genders
ID06574672

Impact of an Embedded Palliative Care and Hospice Practitioner in the Medical ICU

Led by Washington University School of Medicine · Updated on 2025-07-16

2600

Participants Needed

1

Research Sites

52 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

This research aims to assess whether placing a hospice and palliative care practitioner directly inside a medical intensive care unit (ICU) improves patient outcomes, use of palliative and hospice care, and overall healthcare quality. The study focuses on medically complex patients admitted to two nearby medical ICUs at a large referral center. Currently, palliative care is provided only when requested by ICU clinicians, often late in the patient's stay, which can delay needed support and hospice transfers. The study compares three groups: patients in an ICU with the embedded practitioner who proactively offers timely palliative care consultations based on clinical criteria and mortality risk; patients in a second ICU where the practitioner is not embedded but available for standard consultations; and historical patients treated before the study began. Initially, the practitioner works in one ICU and later expands to both units to provide early and on-demand palliative and hospice consultations. Participants will be admitted to one of the medical ICUs during the study period. Researchers will track many outcomes including ICU and hospital length of stay, code status changes, advance care planning documentation, hospice and palliative care consultations and enrollment, mortality, readmissions, and healthcare costs up to one year after enrollment. These measures will help determine if embedding the practitioner improves care quality and patient experiences in the ICU setting.

CONDITIONS

Brief Title

Embedded Palliative Care in the MICU

Who Can Participate

Age: 18Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Patients admitted to the medical intensive care units at a tertiary referral center
  • Patients must be at least 18 years of age
Not Eligible

You will not qualify if you...

History of severe allergic reactions to study medication Currently pregnant or breastfeeding Recent participation in another clinical trial within the last 30 days Presence of uncontrolled medical conditions that could affect safety

AI-Screening

AI-Powered Screening

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

1 visit (in-person)

Treatment

Duration - Duration of ICU stay until hospital discharge

Participants receive care in a medical intensive care unit where a palliative care and hospice practitioner is embedded to provide early and proactive palliative care consultations, as well as standard hospice and palliative care consultations as needed.

Continuous care during ICU stay

Follow-up

Duration - Up to 1 year after hospital discharge

Participants are monitored for up to one year after hospital discharge for outcomes related to code status, advance care planning, hospice enrollment, hospital readmissions, and mortality.

Assessments at 30 days and periodic follow-up visits as needed

Trial Site Locations

Total: 1 location

1

Barnes Jewish Hospital

St Louis, Missouri, United States, 63110

Actively Recruiting

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Research Team

S

Stephen Chi, MD

How is the study designed?

Study Type

INTERVENTIONAL

Masking

NONE

Allocation

RANDOMIZED

Model

SEQUENTIAL

Primary Purpose

SUPPORTIVE_CARE

Number of Arms

3

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Published Research Related To This Trial

Estimating the effect of palliative care interventions and advance care planning on ICU utilization: a systematic review.

Nita Khandelwal, Erin K Kross, Ruth A Engelberg...

https://pubmed.ncbi.nlm.nih.gov/25574794

The Impact of Palliative Care Consultation in the ICU on Length of Stay: A Systematic Review and Cost Evaluation.

Kwadwo Kyeremanteng, Louis-Philippe Gagnon, Kednapa Thavorn...

https://pubmed.ncbi.nlm.nih.gov/27582396

Advanced Care Planning for Hospitalized Patients Following Clinician Notification of Patient Mortality by a Machine Learning Algorithm.

Stephen Chi, Seunghwan Kim, Matthew Reuter...

https://pubmed.ncbi.nlm.nih.gov/37071421