Observational studyThe American journal of hospice & palliative care2020
Patient Risk Factor Profiles Associated With the Timing of Goals-of-Care Consultation Before Death: A Classification and Regression Tree Analysis.
Observational study in The American journal of hospice & palliative care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Machine Learning Reveals Demographic Disparities in Palliative Care Timing Among Patients With Traumatic Brain Injury Receiving Neurosurgical Consultation.Neurocritical care · 2025Article
- Defining "early palliative care" for adults diagnosed with a life-limiting illness: a scoping review.BMC palliative care · 2025Article
- Machine Learning Identifies Variation in Timing of Palliative Care Consultations Among Traumatic Brain Injury Patients.Research square · 2024Article
- "I'm Dealing With That": Illness Concerns of African American and White Cancer Patients While Undergoing Active Cancer Treatments.The American journal of hospice & palliative care · 2021Article
- Improved Serious Illness Communication May Help Mitigate Racial Disparities in Care Among Black Americans with COVID-19.Journal of general internal medicine · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundEarly palliative care consultation ("PCC") to discuss goals-of-care benefits seriously ill patients. Risk factor profiles associated with the timing of conversations in hospitals, where late conversations most likely occur, are needed.
objectiveTo identify risk factor patient profiles associated with PCC timing before death.
methodsSecondary analysis of an observational study was conducted at an urban, academic medical center. Patients aged 18 years and older admitted to the medical center, who had PCC, and died July 1, 2014 to October 31, 2016, were included. Patients admitted for childbirth or rehabilitationand patients whose date of death was unknown were excluded. Classification and Regression Tree modeling was employed using demographic and clinical variables.
resultsOf 1141 patients, 54% had PCC "close to death" (0-14 days before death); 26% had PCC 15 to 60 days before death; 21% had PCC >60 days before death (median 13 days before death). Variables associated with receiving PCC close to death included being Hispanic or "Other" race/ethnicity intensive care patients with extreme illness severity (85%), with age <46 or >75 increasing this probability (98%). Intensive care patients with extreme illness severity were also likely to receive PCC close to death (64%) as were 50% of intensive care patients with less than extreme illness severity.
conclusionsA majority of patients received PCC close to death. A complex set of variable interactions were associated with PCC timing. A systematic process for engaging patients with PCC earlier in the care continuum, and in intensive care regardless of illness severity, is needed.
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