Evidence map›Paper›PMID 39624609›Full record

ArticleJournal of caring sciences2024

Early Palliative Care in the Emergency Department: A Concept Clarification.

Kelly Counts, Sue Lasiter

Abstract read
In one paragraph

Article in Journal of caring sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Kelly CountsSchool of Nursing & Health Studies, University of Missouri-Kansas City, Kansas City, MO, United States.ORCID https://orcid.org/0000-0001-7782-7530
Sue LasiterSchool of Nursing & Health Studies, University of Missouri-Kansas City, Kansas City, MO, United States.ORCID https://orcid.org/0000-0003-2381-2557

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: : Healthcare advances have contributed to patients living longer with chronic illnesses and diseases with uncertain trajectories impacting quality of life (QOL). Palliative care (PC) is no longer only for dying oncology patients as many healthcare practitioners have adopted the PC concept in diverse care settings and the timing of PC implementation remains ambiguous. There is a need to develop an operational definition of early palliative care (EPC) by clarifying the phenomenon and bridging concepts with empirical data to develop and test possible interventions before integrating EPC into emergency care (EC). Methods: : Norris' concept clarification method was used as the philosophical framework to define, analyze, and clarify EPC. An electronic search of literature from 2000-2024, using CINAHL, PubMed, APA PsychINFO, and Psychology and Behavioral Sciences Collection databases and search terms "early palliative care" AND "emergency care" NOT "animals", and NOT "pediatrics" were screened for eligible articles. Results: : Of the 826 articles identified; 22 articles were retained for review. Attributes included timing, palliative, and EC; antecedents included symptom burden, access to care, and cognitive awareness; consequences included QOL and resource utilization; an empirical referent used to screen patients is the highly accurate surprise question "Would I be surprised if this patient died within a year?" Conclusion: : Clarifying the concept of EPC leading to an operational definition will advance the development of interventions that support the implementation of EPC in ED clinical practice.

Indexed as

Chronic diseaseConcept analysisConcept clarificationEarly palliative careEmergency careQuality of life

Identifiers

PMID39624609
PMCPMC11608405

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.