ArticleJournal of pain and symptom management2019
Latent Class Analysis of Specialized Palliative Care Needs in Adult Intensive Care Units From a Single Academic Medical Center.
Article in Journal of pain and symptom management, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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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.
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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
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Assessing palliative care practices in intensive care units and interpreting them using the lens of appropriate care concepts. An umbrella review.Intensive care medicine · 2024Pooled it
- Palliative care phenotypes among critically ill patients and family members: intensive care unit prospective cohort study.BMJ supportive & palliative care · 2022Article
- Evaluation of automated specialty palliative care in the intensive care unit: A retrospective cohort study.PloS one · 2021Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
contextIn the intensive care unit (ICU), 14% of patients meet criteria for specialized palliative care, but whether subgroups of patients differ in their palliative care needs is unknown.
objectivesThe objective of this study was to use latent class analysis to separate ICU patients into different classes of palliative care needs and determine if such classes differ in their palliative care resource requirements.
methodsWe conducted a retrospective cohort study of ICU patients who received specialized palliative care, August 2013 to August 2015. Reason(s) for consultation were extracted from the initial note and entered into a latent class analysis model to generate mutually exclusive patient classes. Differences in "high use" of palliative care (defined as having five or more palliative care visits) between classes were assessed using logistic regression, adjusting for age, race, Charlson Comorbidity Index, and length of stay.
resultsIn a sample of 689 patients, a four-class model provided the most meaningful groupings: 1) Pain and Symptom Management (n = 218, 31.6%), 2) Goals of Care and Advance Directives (GCAD) (n = 131, 19.0%), 3) All Needs (n = 112, 16.3%), and 4) Supportive Care (n = 228, 33.1%). In comparison to GCAD patients, all other classes were more likely to require "high use" of palliative care (adjusted odds ratio [aOR] 2.61 [1.41-4.83] for "All Needs," aOR 2.01 [1.16-3.50] for "Pain and Symptom Management," aOR 1.94 [1.12-3.34] for "Supportive Care").
conclusionBased on the initial reason for consultation, we identified four classes of palliative care needs among critically ill patients, and GCAD patients were least likely to be high utilizers. These findings may help inform allocation of palliative care resources for this population.
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