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Record W4403685249 · doi:10.1111/inr.13054

Organizational evidence‐based practice culture, implementation leadership, and nurses: A bidirectional mediation model

2024· article· en· W4403685249 on OpenAlexaff
Shuang Hu, Siying Liu, LI Xian-feng, Junqiang Zhao, Jia Chen, Wenjun Chen, Jiale Hu

Bibliographic record

VenueInternational Nursing Review · 2024
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsWaypoint Centre for Mental Health CarePublic Health OntarioUniversity of Toronto
FundersCentral South University
KeywordsOrganizational cultureStrengthening the reporting of observational studies in epidemiologyNursingPsychologyChecklistEvidence-based nursingEvidence-based practiceMediationScale (ratio)Organizational commitmentMedical educationMedicineSocial psychologyManagementAlternative medicine

Abstract

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AIM: This study aimed to explore 1) factors that influenced the evidence-based practice competencies and behaviors of clinical nurses and 2) the interaction between the organizational evidence-based practice culture, head nurses' implementation leadership, and nurses' evidence-based practice competencies and behaviors. BACKGROUND: The significance of organizational evidence-based practice culture and head nurses' implementation leadership in enhancing nurses' evidence-based practice competencies and behavior is widely recognized in healthcare settings. However, there is limited knowledge of how these factors influence nurses' evidence-based practice competencies and behavior. METHODS: A cross-sectional survey was conducted at 10 hospitals in China. Data were collected via online questionnaires from October to December 2020, utilizing social characteristic questionnaires, the Evidence-Based Practice Questionnaire, the Organizational Culture and Readiness Scale for System-wide Implementation of Evidence-Based Practice, and the Implementation Leadership Scale. All data were imported into the IBM Statistical Program for the Social Sciences (SPSS) 27.0 and PROCESS version 4.1 macro on SPSS for statistical analysis. The design and reporting of our study adhered to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Checklist. RESULTS: We received 1047 (99.15%) valid questionnaires. The multiple linear regression analysis showed that significant factors were organizational evidence-based practice culture, implementation leadership, and years of experience in nursing. After controlling for the impact of the covariate (years of experience in nursing), it was found that organizational evidence-based practice culture partially mediated the relationship between head nurses' implementation leadership and nurses' evidence-based practice competencies and behaviors. Additionally, head nurses' implementation leadership partially mediated the relationship between organizational evidence-based practice culture and nurses' evidence-based practice competencies and behaviors. CONCLUSION: Organizational evidence-based practice culture, head nurses' implementation leadership, and years of experience in nursing significantly predict nurses' evidence-based practice competencies and behaviors. Organizational evidence-based practice culture and head nurses' implementation leadership mutually mediated their influence on nurses' implementation of evidence-based practice. IMPLICATIONS FOR NURSING AND POLICY: Head nurses should proactively seek opportunities to enhance their implementation leadership, such as participating in training programs (e.g., mentoring and coaching programs) and attending conferences, workshops, or seminars on implementation leadership. Policymakers should also consider providing more policy support for implementing leadership development and cultivating a positive evidence-based practice culture.

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)0.004
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.623
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.335
GPT teacher head0.612
Teacher spread0.278 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations12
Published2024
Admission routes1
Has abstractyes

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