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Record W4403448451 · doi:10.17483/2368-6669.1447

Understanding the Current State of Community Health Nursing Education in Canada: An Exploration of the Erosion and Devaluation of Community Health Theoretical and Practice Education in Canadian Nursing Programs

2024· article· en· W4403448451 on OpenAlexvenueaboutno aff
Tanya Sanders, Jacqueline Avanthay Strus, Barbara Chyzzy, Andrea Chircop, Genevieve Currie, Francoise Fillion, Dawn Mercer Riselli, Catherine-Anne Miller, Ruth Schofield, Cheryl van Daalen‐Smith

Bibliographic record

VenueQuality Advancement in Nursing Education - Avancées en formation infirmière · 2024
Typearticle
Languageen
FieldNursing
TopicNursing Education, Practice, and Leadership
Canadian institutionsnot available
Fundersnot available
KeywordsDevaluationNursingCurrent (fluid)State (computer science)Community healthNurse educationErosionMedicineBusinessPublic healthEngineering

Abstract

fetched live from OpenAlex

Background: The Canadian Association of Schools of Nursing (CASN) Community Health Nurse Educators Interest Group has witnessed an erosion of community/population health content in baccalaureate curricula across Canadian schools of nursing in the last decade. A scarcity of community practice placements during the COVID-19 pandemic, with schools opting to prioritize acute care opportunities for students, exacerbated an erosion in practice hours for this important component of baccalaureate nursing education. Community nursing educators across Canada are greatly concerned by the reduction of nursing education content and relational practice framed in health equity; social, ecological, and structural determinants of health; and intersectionality, which are vital to nursing and the health of Canadians. With these concerns in mind, the purpose of this study was to gain an understanding about the current state of community health/population health theoretical and practice education in baccalaureate nursing programs in Canada. Method: A cross-sectional survey using open- and closed-ended questions was administered to all accredited nursing programs across Canada in November 2021. Quantitative data were analyzed using descriptive statistics, and qualitative data were analyzed using Clarke and Braun’s (2021) thematic analysis. Results: Data were analyzed from 28 completed surveys submitted from nine provinces. The results showed that community health nursing (CHN) theory and practice opportunities are delivered across all four years of baccalaureate nursing curricula. There is a diversity among the practice experiences, hours, and theoretical frameworks in CHN education. The precarity of community placements and limited opportunities for CHN practice education is a major concern. A variety of simulation opportunities are increasingly being used in schools of nursing in response to this and the COVID-19 pandemic. CHN standards and competencies provide the needed structure and outcomes for nursing programs. Conclusion: The survey was identified as a helpful way for CHN educators to have their voices heard regarding the troubling trend of eroding CHN education in baccalaureate nursing programs. Given the findings, there is a need for continued advocacy and leadership for CHN education’s place within accredited baccalaureate programs. CHN champions and CHN faculty are needed to advocate for and facilitate quality CHN education opportunities. The development of partnerships with community practice sites and the support for student learning in community health provide transformational experiences for students with diverse populations. These experiences supported the development of learning cultural safety, working with diverse populations, and inclusive practice. However, there was a strong message of concern about the erosion and devaluing of CHN education in Canada—necessitating timely advocacy and collaborative strategizing in order to remedy this troubling trend.

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)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.711
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.003
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 head0.175
GPT teacher head0.479
Teacher spread0.304 · 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.

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".

Quick stats

Citations3
Published2024
Admission routes2
Has abstractyes

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