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Record W3193860570 · doi:10.1111/nin.12448

Problematising assumptions about ‘centredness’ in patient and family centred care research in acute care settings

2021· review· en· W3193860570 on OpenAlexaff
Harkeert Judge, Christine Ceci

Bibliographic record

VenueNursing Inquiry · 2021
Typereview
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsIntervention (counseling)CentringNursingSociologyAcute careNursing carePsychologyMedicineHealth carePolitical scienceLaw

Abstract

fetched live from OpenAlex

Over the last two decades significant efforts have been made to implement patient and family 'centred' care as both a practical and moral imperative for adult acute care delivery. Although many resources have been developed and adopted by institutions, research suggests persistent and diverse barriers to implementing and achieving patient and family 'centred' care in adult acute care practice settings. These issues in implementation suggest re-examining the nature of 'centredness' in care may be useful. A structured problematisation method, as outlined by Alvesson and Sandberg, is utilised to identify and analyse assumptions about the central notions of 'centring' that inform patient and family centred care intervention research. From our analysis, we highlight three predominant areas within 'centring' intervention research that may benefit from rethinking: Vitruvian spatiality, democratising care, and 'centring' positioned as primarily a problem and accomplishment for nursing. As a challenge to these assumptions, we argue for the adoption of theoretical lenses that 'de-centre' individual actors to better account for complex relations among multiple actors, both human and nonhuman, which work to involve patients and families in care practices.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.595
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.005
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 head0.305
GPT teacher head0.504
Teacher spread0.200 · 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; both teacher heads agree on what is shown here.

Study designQualitative
Domainnot available
GenreReview

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

Citations8
Published2021
Admission routes1
Has abstractyes

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