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Record W3027839057 · doi:10.1111/nuf.12464

Caring behaviors of male nurses: A descriptive qualitative study of patients' perspectives

2020· article· en· W3027839057 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNursing Forum · 2020
Typearticle
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsCARE CanadaMemorial University of Newfoundland
Fundersnot available
KeywordsThematic analysisNursingQualitative researchDescriptive researchNursing careMedicineDescriptive statisticsPsychologyFamily medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Caring is mostly considered a characteristic of women and men are considered hard-hearted. In the nursing profession, female nurses are considered more caring than male nurses which influence patients' views about the care provided by male nurses. There is limited knowledge about patients' beliefs and views about caring behaviors of male nurses. PURPOSE: To explore caring behaviors of male nurses from patients' perspectives. DESIGN: A descriptive qualitative study drawn from a larger convergent mixed methods study METHODS: Semi-structured interviews were conducted with a purposive sample of 15 patients from 14 medical surgical units of three private hospitals in Islamabad, Pakistan. Inductive thematic analysis was used for data analysis. FINDINGS: Patients reported that male nurses are respectful, considerate, good listener, unbiased, and supportive. CONCLUSION: These findings delineated five tangible caring behaviors that patients expect from the male nurses who care for them. It suggests that patients have specific expectations from their male nurses for providing effective nursing care. The male nurses can foster these behaviors to enhance their relationships with their patients.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.755

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.039
GPT teacher head0.357
Teacher spread0.317 · 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