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Record W4391574859 · doi:10.1016/j.ijnsa.2024.100184

Evaluation of the effectiveness of a Strengths-Based Nursing and Healthcare Leadership program aimed at building leadership capacity: A concurrent mixed-methods study

2024· article· en· W4391574859 on OpenAlex
Mélanie Lavoie‐Tremblay, Kathleen Boies, Christina Clausen, Julie Fréchette, Kimberley Ens Manning, Christina Gelsomini, Guylaine Cyr, Geneviève L. Lavigne, Bruce Gottlieb, Laurie N. Gottlieb

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Nursing Studies Advances · 2024
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare professionals’ stress and burnout
Canadian institutionsMcGill UniversityCanadian Nurses FoundationJewish General HospitalConcordia UniversityUniversité de MontréalInstitut Universitaire en Santé Mentale de Québec
FundersSocial Sciences and Humanities Research Council of CanadaCanadian Institutes of Health Research
KeywordsThematic analysisHealth careNursingFocus groupQualitative researchQualitative propertyPsychologyPsychological interventionMedicineSociologyPolitical science

Abstract

fetched live from OpenAlex

Background: Targeted interventions have been found effective for developing leadership practices in nurses. However, to date, no leadership training program based on the Strengths-Based Nursing and Healthcare Leadership approach exists. Objectives: Demonstrate the effectiveness of a Strengths-Based Nursing and Healthcare Leadership 6-month program designed for nurse and healthcare leaders on leadership capacity and psychological outcomes. Design: Concurrent mixed-methods with nurse and healthcare leaders from five healthcare organisations in Quebec and Ontario (Canada). Settings: Participants were recruited from five Canadian health care organizations: two in Toronto (Ontario) and three in Montreal (Quebec). Participants: A total of 50 nurse leaders and healthcare leaders were included in the quantitative component, and 22 (20 nurse leaders and two healthcare leaders) participated in the qualitative individual interviews. Methods: -tests, and thematic analysis. Results: Quantitative results suggest a significant improvement in terms of leadership capabilities, work satisfaction, and reduction in perceived stress among participants. Three themes emerged from the qualitative data analysis: 1) focus on people's strengths, 2) structure and language based on Strengths-Based Nursing and Healthcare values, and 3) building support networks. Conclusions: The Strengths-Based Nursing and Healthcare Leadership program developed to build the leadership capabilities of nurse and healthcare leaders was found to be effective. The positive impact of the 6-month program was demonstrated. It was also shown that the leadership program can help improve the leadership competencies, well-being, and work satisfaction of participating nurses and healthcare leaders. Implication: This study reinforces the importance of working with educational, research, and healthcare organizations to establish leadership development programs and mentorship opportunities. Future leadership training should use a Strengths-Based Nursing and Healthcare Leadership lens when tackling leadership and stress in the workplace.

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)0.012
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.957
Threshold uncertainty score0.642

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.345
GPT teacher head0.615
Teacher spread0.270 · 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