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Record W3145354185 · doi:10.1177/01939459211004591

Mindful Self-Care Practice of Nurses in Acute Care: A Multisite Cross-Sectional Survey

2021· article· en· W3145354185 on OpenAlexaff
Hussan Zeb, Ijaz Arif, Ahtisham Younas

Bibliographic record

VenueWestern Journal of Nursing Research · 2021
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsBurnoutNursingAcute careSelf careScale (ratio)Cross-sectional studyPsychologyMedicineMindfulnessHealth careClinical psychology

Abstract

fetched live from OpenAlex

Consistent mindful self-care practices mitigate professional burnout and improve resilience to enable nurses provide safe and effective patient care. This study determined the levels and the influencing factors of mindful self-care of nurses in acute care settings. Data were collected from a convenience sample of 258 nurses from seven acute care hospitals using the 36-item Mindful Self-Care Scale. Data were analyzed using descriptive and correlation analyses. Nurses' mindful self-care scores were low, and female nurses had higher levels of mindful self-care than male nurses. Statistically significant negative correlations were found between nurses' mindful self-care levels and their age and clinical experience. Nurses' engagement in mindful self-care is low which may negatively affect their interactions with and care of patients and their families. Therefore, a need exists to develop and evaluate more clinical-based personal and organizational strategies to enhance the mindful self-care practices of nurses.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.122
GPT teacher head0.526
Teacher spread0.404 · 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 designObservational
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
Published2021
Admission routes1
Has abstractyes

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