A Needs-focused Palliative Care Intervention for Older Adults in ICUs

NCT ID: NCT04414787

Last Updated: 2025-07-18

Study Results

Results available

Outcome measurements, participant flow, baseline characteristics, and adverse events have been published for this study.

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Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

151 participants

Study Classification

INTERVENTIONAL

Study Start Date

2021-02-22

Study Completion Date

2023-12-17

Brief Summary

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The quality of intensive care unit (ICU)-based palliative care is highly variable, particularly for the 2 million older adults admitted annually to ICUs. To address these care delivery barriers among older ICU patients, a mobile app platform called PCplanner (Palliative Care planner) was developed. PCplanner automates the identification of high-risk patients (e.g., dementia, declining health status, poor functioning) by directly capturing data from electronic health record (EHR) systems, cultivates family engagement with supportive information and a digital system for self-report of actual needs, and facilitates the delivery of care to those with a high burden of need by coordinating collaboration between ICU teams and palliative care specialists.

150 patients, 150 family caregivers, and 75 physicians from academic and community settings will be enrolled in a RCT designed to test the efficacy of PCplanner-augmented collaborative palliative care vs usual care. Family caregiver and clinician experiences will be explored using mixed methods to understand intervention mechanisms as well as implementation barriers within diverse case contexts. The key hypothesis is that compared to usual care, PCplanner will reduce family caregivers' unmet needs and psychological distress, increase the frequency of goal concordant treatment among older adult patients, and reduce hospital length of stay.

Detailed Description

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The quality of intensive care unit (ICU)-based palliative care is highly variable, particularly for the 2 million older adults admitted annually to ICUs. However, improving care quality on a broad scale with the efficient delivery of patient-centered, need-targeted palliative care is challenging because of logistical and technological barriers. To address these care delivery barriers among older ICU patients, a mobile app platform called PCplanner (Palliative Care planner) was developed. PCplanner automates the identification of high-risk patients (e.g., dementia, declining health status, poor functioning) by directly capturing data from electronic health record (EHR) systems, cultivates family engagement with supportive information and a digital system for self-report of actual needs, and facilitates the delivery of care to those with a high burden of need by coordinating collaboration between ICU teams and palliative care specialists. In pilot comparison to a standard palliative care control, the intervention reduced unmet needs, psychological distress, and length of stay and increased goal concordant care, communication, and hospice utilization.

While these data are compelling, an efficacy evaluation of PCplanner is needed. Therefore, we plan to enroll approximately 150 patients, 150 family caregivers, and 75 physicians will be enrolled from academic and community settings in a project with 2 key aims: (1) Test the efficacy of PCplanner-augmented collaborative palliative care vs usual care in a randomized clinical trial (RCT) with 3-month follow up, and (2) Explore family caregiver and clinician experiences using mixed methods to understand intervention mechanisms as well as implementation barriers within diverse case contexts. The key hypothesis is that compared to usual care, PCplanner will reduce family caregivers' unmet needs and psychological distress, increase the frequency of goal concordant treatment among older adult patients, and reduce hospital length of stay.

Conditions

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Palliative Care Critical Illness Aging Care Delivery Model Informal Caregivers Psychological Distress

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Randomized clinical trial comparing intervention to usual care control.
Primary Study Purpose

SUPPORTIVE_CARE

Blinding Strategy

DOUBLE

Participants Outcome Assessors
All masking done via differential user accesses allowed by a mobile app platform.

Study Groups

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Intervention

PCplanner intervention during hospitalization

Group Type ACTIVE_COMPARATOR

PCplanner

Intervention Type BEHAVIORAL

PCplanner-augmented care. The PCplanner mobile app will allow patients / family members to report their needs in a platform viewable by ICU physicians. Should the needs not improve over time, the palliative care team will be activated to contribute to care.

Usual care control

Usual care

Group Type NO_INTERVENTION

No interventions assigned to this group

Interventions

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PCplanner

PCplanner-augmented care. The PCplanner mobile app will allow patients / family members to report their needs in a platform viewable by ICU physicians. Should the needs not improve over time, the palliative care team will be activated to contribute to care.

Intervention Type BEHAVIORAL

Eligibility Criteria

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Inclusion Criteria

* ≥50 years of age
* Receive care in a study ICU for ≥24 hours
* Meets ≥1 of 9 high risk phenotypes a. Dementia (e.g., Alzheimer's, multi-infarct, other dementia etiology) b. Declining health status defined by EITHER: i. ≥2 hospital admissions in 3 months preceding current admission OR ii. \>1 ICU admission in 3 months preceding current admission c. Poor functional status defined by EITHER: i. admit from Skilled Nursing Facility (SNF) or Long-Term Acute Care (LTAC) facility OR ii. ≥3 activities of daily living (ADL) limitations at admission d. Severe acute illness defined by EITHER: i. cardiac arrest OR ii. multisystem organ failure (≥3 of: lung, kidney, hematological, brain, cardiac, liver) that has worsened over 48 hours (i.e., Sequential Organ Failure Assessment \[SOFA\] score increase) e. Severe acute stroke (e.g., acute intracranial hemorrhage, ischemic stroke, or traumatic brain injury) f. Acute respiratory failure (ventilation or high oxygen support for ≥24 hours) g. Acute renal failure (new hemodialysis or continuous venovenous hemodiafiltration for ≥1 hour) h. Advanced cancer (Advanced / metastatic cancer diagnosis) i. Shock (use of vasopressor or inotrope for ≥4 hours)


* ≥18 years of age
* Self-described as the individual (related or unrelated) who provides the most support and with whom the patient has a significant relationship (per definition of 'family' described in the Society of Critical Care Medicine 2016 Guidelines for Family-Centered Care in the Neonatal, Pediatric, and Adult ICU)


* ≥18 years of age
* Attending or fellow physician in a study ICU

Exclusion Criteria

* Palliative care consultation performed during the hospitalization before eligibility determination
* Current admission to ICU at the index hospital ≥8 days
* Imprisoned
* No known family or surrogate decision maker
* Death expected within 24 hours


\- Patient dies before T2

FAMILY MEMBER


* Lack a knowledge of English such that the potential participant is not confident that they could complete study tasks (app viewing, surveys)
* Imprisoned
* Unable to complete surveys for any reason


\- Low need burden (NEST score \<10) at baseline

ICU PHYSICIANS


\- None
Minimum Eligible Age

50 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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National Institute on Aging (NIA)

NIH

Sponsor Role collaborator

Duke University

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Christopher Cox, MD

Role: PRINCIPAL_INVESTIGATOR

Duke University

Locations

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Duke University Medical Center

Durham, North Carolina, United States

Site Status

Countries

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United States

References

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Cox CE, Ashana DC, Dempsey K, Olsen MK, Parish A, Casarett D, Johnson KS, Haines KL, Naglee C, Katz JN, Al-Hegelan M, Riley IL, Docherty SL. Mobile App-Facilitated Collaborative Palliative Care Intervention for Critically Ill Older Adults: A Randomized Clinical Trial. JAMA Intern Med. 2025 Feb 1;185(2):173-183. doi: 10.1001/jamainternmed.2024.6838.

Reference Type DERIVED
PMID: 39680398 (View on PubMed)

Cox CE, Jones DM, Reagan W, Key MD, Chow V, McFarlin J, Casarett D, Creutzfeldt CJ, Docherty SL. Palliative Care Planner: A Pilot Study to Evaluate Acceptability and Usability of an Electronic Health Records System-integrated, Needs-targeted App Platform. Ann Am Thorac Soc. 2018 Jan;15(1):59-68. doi: 10.1513/AnnalsATS.201706-500OC.

Reference Type BACKGROUND
PMID: 29121480 (View on PubMed)

Cox CE, Olsen MK, Casarett D, Haines K, Al-Hegelan M, Bartz RR, Katz JN, Naglee C, Ashana D, Gilstrap D, Gu J, Parish A, Frear A, Krishnamaneni D, Corcoran A, Docherty SL. Operationalizing needs-focused palliative care for older adults in intensive care units: Design of and rationale for the PCplanner randomized clinical trial. Contemp Clin Trials. 2020 Nov;98:106163. doi: 10.1016/j.cct.2020.106163. Epub 2020 Sep 29.

Reference Type BACKGROUND
PMID: 33007442 (View on PubMed)

Provided Documents

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Document Type: Study Protocol and Statistical Analysis Plan

View Document

Document Type: Informed Consent Form

View Document

Related Links

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http://pcplanner.duke.edu

general trial information

Other Identifiers

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R01AG058915

Identifier Type: NIH

Identifier Source: secondary_id

View Link

Pro00101745

Identifier Type: -

Identifier Source: org_study_id

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