Evidence map›Paper›PMID 39698130›Full record

ArticleInternational journal of nursing sciences2024

A scoping review of autoethnography in nursing.

Martin Salzmann-Erikson

Abstract readScoping Review
In one paragraph

Article in International journal of nursing sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

1 author.

Martin Salzmann-EriksonDepartment of Caring Sciences, Faculty of Health and Occupational Studies, University of Gävle, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Autoethnography combines personal experiences with cultural analysis, emerging as a response to the limitations of traditional ethnography. This review aimed to explore, describe, and delineate the utilization of autoethnography by nurses published in peer-reviewed journals. Methods: A scoping review was conducted according to the Arksey and O'Malley framework. On October 12, 2023, autoethnographic studies in nursing were identified through searches of CINAHL, PubMed, PsycINFO, and Scopus. Peer-reviewed articles published in English language were retrieved. We applied no date restriction. Data were extracted on nursing, epiphany, results, style of writing, implications for nursing, and ethical considerations. Results: Twenty-six articles met the inclusion criteria. Mental health nursing, covered by nine articles, elucidated experiences of stigma, ethical dilemmas, and professional identity. Nursing education, represented by seven articles, highlighted identity struggles, systemic biases, and evolving pedagogies. Palliative care, addressed by three articles, provided insights into communication challenges and emotional complexities in end-of-life care. The remaining articles explored rehabilitation, cultural competence, and chronic pain management. A conceptual framework integrating ontological, epistemological, ethical, and practical dimensions was developed, emphasizing the interplay between personal and professional roles. Conclusions: This review underscores autoethnography's value in uncovering the cultural and ethical dimensions of nursing. This framework advocates for a reflective, culturally attuned approach to healthcare, fostering transformative changes in nursing. Further research should explore underrepresented nursing specialties to harness autoethnography's potential fully.

Indexed as

AnthropologyCulturalNursing researchPsychologicalQualitative researchSocial theory

Identifiers

PMID39698130
PMCPMC11650669

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.