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Record W2944120862 · doi:10.1080/22423982.2019.1612703

Exploring why and how encounters with the Norwegian health-care system can be considered culturally unsafe by North Sami-speaking patients and relatives: A qualitative study based on 11 interviews

2019· article· en· W2944120862 on OpenAlexaff
Grete Mehus, Berit Andersdatter Bongo, Janne Isaksen Engnes, Pertice Moffitt

Bibliographic record

VenueInternational Journal of Circumpolar Health · 2019
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsAurora College
Fundersnot available
KeywordsNorwegianQualitative researchHealth careCultural safetyCultural diversityNursingMedicineCultural identityPsychologySocial psychologySociologyPolitical scienceFeeling

Abstract

fetched live from OpenAlex

BACKGROUND: Citizens of Norway have free and equal access to healthcare. Nurses are expected to be culturally sensitive and have cultural knowledge in encounters with patients. Culturally safe care is considered both a process and an outcome, evaluated by whether the patients feel safe, empowered and cared for, or not. All patients request equal access to quality care in Norway, also Sami patients. OBJECTIVES: The aim of the study is to identify whether Sami patients and relatives feel culturally safe in encounters with healthcare, and if not, what are the main concerns. METHODS: This qualitative study used semi-structured interviews in the North Sami language, with 11 North Sami participants.The transcribed data were analysed through a lens of cultural safety by content analysis. FINDINGS: Data analysis explicated themes including: use of Sami language, Sami identity and cultural practices, connections to positive health outcomes to enhance cultural safe care and well-being for North-Sami people encountering the Norwegian health-care system. CONCLUSION: Culturally safe practices at the institutional, group and individual levels are essential to the well-being of Sami people. An engagement in culturally safe practices will facilitate (or) fulfil political and jurisdictional promises made to the Sami people, consequently improving positive impact of healthcare.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.077
GPT teacher head0.371
Teacher spread0.295 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations35
Published2019
Admission routes1
Has abstractyes

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