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.
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.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
DOUBLE
Enrollment
151
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.
Duke University Medical Center
Durham, North Carolina, United States
Needs; Existential Concerns; Symptoms; and Therapeutic Interaction (NEST) Scale Total Score
The NEST is a palliative care needs instrument capturing all 8 domains of palliative care quality from patients' family members. Scores range from 0 (no needs) to 130 (higher needs). Reported here is scores at Time 3 (\~1 week post-randomization).
Time frame: Time 1 (baseline), Time 2 (~3 days post-randomization), and Time 3 (~1 week post-randomization)
Patient Health Questionnaire 9-Item Scale (PHQ-9)
A depression symptoms instrument used by patients' family members. Scores range from 0 (no depression symptoms) to 27 (higher depression symptoms). Reported here is the scores at Time 4 (3 months post-randomization).
Time frame: Time 1 (baseline), Time 3 (~1 week post-randomization), and Time 4 (3 months post-randomization)
Generalized Anxiety Disorder 7-Item Scale (GAD-7)
An anxiety symptoms instrument used by patients' family members. Scores range from 0 (no anxiety symptoms) to 21 (higher anxiety symptoms). Reported here is the scores at Time 4 (3 months post-randomization).
Time frame: Time 1 (baseline), Time 3 (target ~1 week post-randomization), and Time 4 (3 months post-randomization)
Post-Traumatic Stress Symptom (PTSS) Inventory
A post-traumatic stress disorder symptom instrument used by patients' family members. Scores range from 10 (low PTSD symptoms) to 70 (higher PTSD symptoms). Reported here is the scores at Time 4 (3 months post-randomization).
Time frame: Time 1 (baseline) and Time 4 (3 months post-randomization)
Number of Participants With Goal Concordant Care
A metric of goal concordance as reported by patients' family members.
Time frame: Time 1 (baseline), Time 2 (target ~3 days post-randomization), and Time 3 (target ~1 week post-randomization)
Patient-Perceived Patient-Centeredness (PPPC) Scale
A measure of patient-centeredness used by patients' family members with scores that range from 12 (higher patient-centeredness) to 48 (lower patient-centeredness).
Time frame: Time 3 (target ~1 week post-randomization)
Post-randomization Intensive Care Unit Length of Stay
A measure of intensive care unit days after randomization for patients of whom participants are family members/caregivers.
Time frame: from randomization until intensive care unit discharge
Post-randomization Hospital Length of Stay
A measure of hospital days after randomization for PATIENTS for each patient member of the patient-family member dyad
Time frame: from randomization until hospital discharge
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