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Record W7028689365

Health leadership education programs, best practices, and impact on learners' knowledge, skills, attitudes, and behaviors and system change: a literature review

2014· review· en· W7028689365 on OpenAlexfundaboutno aff

Bibliographic record

VenueDove Medical Press (Taylor and Francis Group) · 2014
Typereview
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsnot available
FundersUniversity of TorontoQueen's UniversityUniversité Laval
KeywordsTransformational leadershipInterprofessional educationAccountabilitySocial accountingBest practiceLeadership developmentWork (physics)Shared leadershipLeadership studies
DOInot available

Abstract

fetched live from OpenAlex

Emmanuelle Careau,1 Gjin Biba,1 Rosemary Brander,2 Janice P Van Dijk,2 Sarita Verma,3 Margo Paterson,2 Maria Tassone31Center for Interdisciplinary Research in Rehabilitation and Social Integration, Université Laval, Québec, QC, 2Office of Interprofessional Education and Practice, Queen's University, Kingston, ON, 3Centre for Interprofessional Education, University of Toronto, Toronto, ON, CanadaBackground: A review of the literature was undertaken by the Canadian Interprofessional Health Leadership Collaborative to investigate the content and competencies of health education programs that teach collaborative leadership and to inform the development of an international collaborative leadership curriculum.Methods: A PubMed and Google Scholar search identified the frequency of key leadership education program terms and was adjusted for six major databases. From the 2,119 references, 250 were selected in a double-blinded manner. A descriptive statistical analysis was performed to determine the patterns, types, learners, models, and competencies addressed. Cross-tabulation and analysis of correlation identified best practices and impacts on learners' knowledge, skills, attitudes/behaviors, and on health system change.Results: Four types of leadership models were formally identified, ie, traditional leadership, transformational leadership, clinical leadership, and collaborative leadership. The most identified competencies were interprofessional communication, knowledge on how to work in teams and across disciplines, and financial knowledge. The least addressed topics were social accountability and community engagement. Only 6.8% of the articles reviewed assessed the effectiveness of their program based on patient-centered outcomes and 3.6% on system change.Conclusion: This literature review focused on 250 health leadership education programs reported in peer-reviewed journals to address important questions about the competencies, best practices taught, and evaluation of effectiveness of health system change in health leadership educational programs. This review provides information that may encourage the development, implementation, and evaluation of new collaborative leadership programs. The Lancet Commission report in 2010 called for a new breed of collaborative health leader who can work across health professions in community, hospital, and primary care settings. Collaborative leaders must lead change in the face of uncertainty and ambiguity, and must strengthen and build relationships to navigate complex systems. Existing leadership programs do not adequately address the key competencies to prepare future health leaders to rise to these challenges.Keywords: leadership, health education, collaboration, curriculum, interprofessional relationships, peer review research

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)0.011
metaresearch head score (Gemma)0.040
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.030
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.040
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0130.017
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0010.001
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 head0.170
GPT teacher head0.532
Teacher spread0.362 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations0
Published2014
Admission routes2
Has abstractyes

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