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Record W2038419009 · doi:10.5539/gjhs.v7n2p294

Nurse as a Facilitator to Professional Communication: A Qualitative Study

2014· article· en· W2038419009 on OpenAlexvenueno aff
Shahrzad Ghiyasvandian, Masoumeh Zakerimoghadam, Hamid Peyravi

Bibliographic record

VenueGlobal Journal of Health Science · 2014
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsnot available
Fundersnot available
KeywordsFacilitatorHealth careNursingQualitative researchContent analysisHealth professionalsPsychologyMedicineSociology

Abstract

fetched live from OpenAlex

Nurses need to establish communication with other healthcare professionals to facilitate the process of care. Healthcare professionals have complementary roles in providing care to patients. As the key members of the healthcare team, nurses also have an important role in establishing communication among other healthcare professionals. The final outcome of professional communication is effective care and improved patient outcomes. The aim of this study was to explore nurses' role in establishing professional communications with other healthcare professionals. This was a descriptive qualitative study. The study was conducted by using the content analysis approach. A purposive sample of sixteen healthcare professionals was recruited from six teaching hospitals affiliated to Tehran University of Medical Sciences, Tehran, Iran. Study data were gathered by conducting personal face-to-face semi-structured interviews and were analyzed by using the qualitative content analysis approach. The three main themes of the study were 'Nurse as the mediator of communication', 'Nurse as the executor of others' duties, and 'Nurse as a scapegoat'. Study findings can be used by nurses, managers, and health policy-makers to develop effective strategies for exactly determining and clarifying nurses and other healthcare professionals' roles as well as for informing the public and other healthcare professionals about nurses' roles and importance.

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)0.014
metaresearch head score (Gemma)0.002
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 score0.169
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.058
GPT teacher head0.582
Teacher spread0.523 · 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

Citations45
Published2014
Admission routes1
Has abstractyes

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