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Record W2924370282 · doi:10.1111/nin.12284

Ethical and moral considerations of (patient) centredness in nursing and healthcare: Navigating uncharted waters

2019· article· en· W2924370282 on OpenAlexafffund
Deanne J O’Rourke, Genevieve Thompson, Diana E. McMillan

Bibliographic record

VenueNursing Inquiry · 2019
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsHealth Sciences CentreUniversity of Manitoba
FundersCanadian Nurses Foundation
KeywordsHealth careNormativeInterdependenceNursingContext (archaeology)Engineering ethicsSociologyGrey literaturePerspective (graphical)PsychologyPublic relationsMedicineMEDLINEPolitical scienceLawSocial science

Abstract

fetched live from OpenAlex

This discussion paper aims to explore potential ethical and moral implications of (patient) centredness in nursing and healthcare. Healthcare is experiencing a philosophical shift from a perspective where the health professional is positioned as the expert to one that re-centres care and service provision central to the needs and desires of the persons served. This centred approach to healthcare delivery has gained a moral authority as the right thing to do. However, little attention has been given to its moral and ethical theoretical grounding and potential implications for nurses, persons served and the healthcare system. Based upon a review of academic and grey literature, centredness is proposed as a value-laden concept in nursing inquiry. Potential moral and ethical implications of centredness on nurses/healthcare providers, persons served and the healthcare system are discussed. These challenges are then considered within the context of normative and relational ethical theories. These perspectives may offer guidance relative to how one should act in those circumstances as well as an understanding as to how interdependency and engagement with the other person(s) can help navigate the challenges of a centred care approach. Viewing centredness through an ethical theoretical lens provides a valuable discourse to nursing in efforts to expand the knowledge base and integrate centred approaches into practice and policy.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.229
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.006
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 head0.111
GPT teacher head0.492
Teacher spread0.381 · 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

Citations19
Published2019
Admission routes2
Has abstractyes

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