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Record W6923778731 · doi:10.14288/1.0098697

Survey of gerontological curricula in Canadian generic baccalaureate nursing programs

2011· article· en· W6923778731 on OpenAlexaboutno aff

Bibliographic record

VenuecIRcle (University of British Columbia) · 2011
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumGerontological nursingNurse educationQuarter (Canadian coin)Work (physics)PopulationHealth careBaccalaureate Degree

Abstract

fetched live from OpenAlex

The current status of gerontological nursing curricula in Canadian generic baccalaureate nursing programs has not been studied. As the Canadian society changes the health care system is struggling to provide adequate health care to the growing population over the age of 65. Nurses must be prepared to assist the elderly in the community and in institutions to cope with increasing disabilities. Therefore, the study of gerontological nursing should be a requirement in a nurses' basic education to prepare them to work with older clients in all settings. This study used a survey methodology to determine the present status of gerontological content in baccalaureate nursing education curricula. Questionnaires were sent to each of the 22 deans/directors of the Canadian generic baccalaureate nursing programs and to 31 provincial reputational "experts" in the field of gerontology. A return rate of 90% and 93% was obtained respectively. The study asked five questions: 1) What nursing model or concepts are used by the generic baccalaureate schools of nursing? 2) What gerontological content is included in these programs? 3) What gerontological content is integrated in courses or taught in required or elective specific gerontology courses? 4) What gerontological clinical experiences are required? and 5) Are faculty academically prepared to teach gerontological content? Answers to these questions were compared with similar questions asked of reputational "experts". A quarter of the schools did not use nursing concepts or models while many schools chose a nursing model which was not consistent with their philosophy of health. Ninety percent of the schools taught gerontology content in integrated courses; half of the schools also offered a specific gerontology course of which 40% were elective courses. Even though all 49 listed gerontology topics and 28 patient problems and care techniques were taught by the majority of the schools there is little evidence the schools are producing gerontology prepared nurses. The gerontology clinical hours accounted for only 7.4% of the total clinical experiences. The "experts" recommended gerontology receive 21% of the clinical hours and that it be dispersed in a variety of community and clinical settings. Few (5%) faculty members were prepared with a post graduate degree in gerontology to act as positive role models for the students. Few (2%) students chose a gerontology practicum in their last year. The findings and recommendations are meant to assist educators with the task of expanding the gerontological curricula in generic baccalaureate nursing programs. The nine recommendations address ways to assist schools to reevaluate their curriculum and improve nursing care to the elderly in Canadian society.

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)0.003
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.997
Threshold uncertainty score0.196

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.073
GPT teacher head0.273
Teacher spread0.200 · 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.

Study designObservational
DomainMethods
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

Citations0
Published2011
Admission routes1
Has abstractyes

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