ArticlePalliative & supportive care2026
More patterns on palliative care identity: An autoethnography contribution.
Article in Palliative & supportive care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Patterns of interaction between patients, family members, and health professionals as markers of identity in palliative care.Palliative & supportive care · 2026Article
- Elevating relevance of autoethnography in palliative care research.Palliative & supportive care · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo identify, describe and analytically interpret relational recurrent patterns shaping interactions in PC settings, and to offer practical guidance to haelth care professionals navicating complex end-of-life-scenarios.
backgroundThis study explores the dynamics influencing relational interactions in palliative care (PC) settings. Building upon 1 author's extensive clinical experience, reflection, and prior research, we aim to further illuminate the clinical and cultural factors that shape relational interactions and scenarios within PC. By integrating personal observations with scholarly literature and describing specific recurring global patterns of interaction, this article seeks to deepen understanding of PC culture and to provide healthcare professionals with practical strategies to improve engagement with patients and families.
methodsThis study aimed to explore and analytically describe recurrent relational patterns shaping interactions in PC settings through an analytic autoethnographic lens. Short evocative phrases were used to define the identified patterns as clinical vignettes. Based on recurrent clinical observations and reflexive positioning, and through an iterative analytic process, patterns were progressively identified, named, and situated within a theoretical framework. Ethical standards were upheld.
resultsThree end-of-life scenarios - "The Palliative Honeymoon," "The Cousin of France," and "Do Everything!" - emerged and were analyzed. The findings emphasize the importance of understanding these behavioral patterns in order to educate health professionals and enhance care provision. SIGNIFICANCE OF
resultsThis original Portuguese analytic autoethnographic study is grounded in extensive experiential knowledge and addresses a gap in the literature regarding interactional patterns in PC. By integrating long-standing personal clinical experience with scholarly evidence, this autoethnographic study renders explicit what is often tacit in PC practice - the hidden cultural elements that shape clinical interactions. It is part of a continuum of research that willcontinue and be relate to elements of PC identity. By describing clinically relevant phenomena and integrating them with existing literature, this work offers strong practical implications and contributes to better preparing clinicians for the complex realities of PC practice.
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Registered trials
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 Socratic graph.