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Persistent isolationist or collaborator? The nurse’s role in interprofessional collaborative practice

2010· article· en· W2116804358 on OpenAlexaff
Carole Orchard

Bibliographic record

VenueJournal of Nursing Management · 2010
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsWestern University
Fundersnot available
KeywordsTeamworkNursingAgency (philosophy)Health careCollaborative CarePsychologyMedical educationMedicineSociologyPolitical science

Abstract

fetched live from OpenAlex

AIM: The present study explores current understanding about interprofessional collaborative client-centred practice and nursing's role in this form of care delivery. BACKGROUND: A profession-only focus on nursing practice has been challenged at professional, national governmental and World Health Organization levels stressing for more interprofessional patient-centred collaborative teamwork. EVALUATION: Moving to patient-centred collaborative practice is fraught with barriers. Enablers can result in building trust, power sharing and shared decision-making. Changing current workplace environments requires institutional commitments to support collaborative team development. KEY ISSUE(S): Nurses can become collaborative members of teams through: (1) re-socialize; (2) understanding and articulating nurses roles, knowledge and skills to others; (3) other health providers sharing the same to nurses; (4) identifying where shared roles, knowledge and skills exist; and (5) learning to work in collaborative teams. Nurses must address some fundamental issues about practice that negate collaboration and patient-centred care. CONCLUSIONS: All professionals, including nurses, must move away from a service-oriented delivery to a patient-centred collaborative approach to care. IMPLICATIONS FOR NURSING MANAGEMENT: The values within health organizations need to be underpinned by collaborative interprofessional patient-centred practice. To accomplish this goal, administrators and managers must support assessment of employees and visiting physicians as to their conformance with agency established expectations for such practice.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.425
Threshold uncertainty score0.707

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.449
Teacher spread0.427 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations83
Published2010
Admission routes1
Has abstractyes

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