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Understanding the work life of clinical nurse educators in Canadian hospitals through the Job Demands-Resources Model: A descriptive qualitative study

2025· article· en· W4415020366 on OpenAlexafffundabout
Emily Read, Kateryna Metersky, Linda Matthews, Rachel MacLean

Bibliographic record

VenueInternational Journal of Nursing Studies · 2025
Typearticle
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsToronto Metropolitan UniversityUniversity of New Brunswick
FundersUniversity of New Brunswick
KeywordsWorkforceQualitative researchInterpersonal communicationDescriptive researchWork (physics)Interpersonal relationshipJob satisfactionMEDLINENurse educator

Abstract

fetched live from OpenAlex

BACKGROUND: Clinical nurse educators play a vital role in supporting nursing staff development, clinical competency, and quality of care in acute care hospitals. Despite their importance, limited research has examined the demands and resources that shape their work life and effectiveness. OBJECTIVE: This study explored the job demands and resources influencing clinical nurse educators' experiences in two Canadian provinces, using the Job Demands-Resources (JD-R) model as a guiding framework. METHODS: A qualitative descriptive design was used, involving in-depth, semi-structured interviews with 24 clinical nurse educators employed in acute care hospitals in Ontario and New Brunswick. Thematic analysis was conducted to identify patterns in participants' descriptions of their roles, responsibilities, challenges, and supports. Codes were developed inductively and organized deductively using the JD-R framework, distinguishing between challenge demands, hindrance demands, job-related resources, and personal resources. RESULTS: Clinical nurse educators experienced a range of challenge demands, including administrative responsibilities, educational duties, continuous professional learning, and leadership. These aspects of the role provided opportunities for growth but were often accompanied by hindrance demands such as role ambiguity, interpersonal conflict, excessive workload, and lack of recognition. Participants reported feeling undervalued and overextended, with role expectations varying widely across organizations. Despite these challenges, clinical nurse educators drew on job-related resources including supportive colleagues, positive workplace culture, and collaborative teams and personal resources such as coping strategies, motivation, professional development, and social support. When resources were insufficient, clinical nurse educators reported frustration, burnout, and intentions to leave the role. The findings align with the JD-R model, highlighting how imbalance between demands and resources can trigger the health impairment pathway. CONCLUSIONS: Clinical nurse educators' effectiveness and retention are shaped by a complex interplay of job demands and resources. While challenge demands can be motivating, hindrance demands contribute to stress and burnout, particularly when not buffered by adequate support. Addressing role ambiguity, enhancing recognition, and investing in both structural and interpersonal resources are critical to sustaining the clinical nurse educator workforce in hospital settings.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.862
Threshold uncertainty score0.557

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0370.014
Scholarly communication0.0100.004
Open science0.0040.006
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.235
GPT teacher head0.507
Teacher spread0.271 · 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 source (direct Gemma or distilled Codex), 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".

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Citations2
Published2025
Admission routes3
Has abstractno

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