MétaCan
Menu
Back to cohort
Record W2045992347 · doi:10.3928/00220124-20081201-07

Nurses' Knowledge, Attitudes, and Confidence Regarding Preventing and Treating Deconditioning in Older Adults

2008· article· en· W2045992347 on OpenAlex

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.

Bibliographic record

VenueThe Journal of Continuing Education in Nursing · 2008
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsDeconditioningMedicineConfidence intervalNursingBachelorGerontologyPsychologyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: This article examines nurses' knowledge, beliefs, attitudes, and confidence regarding providing care to prevent and treat deconditioning in hospitalized older adults. METHODS: Data were collected from 157 registered nurses enrolled in a post-registered nurse, bachelor of science in nursing program using a descriptive cross-sectional survey. RESULTS: Nurses' responses reflected substantial gaps in their knowledge and theoretical understanding of deconditioning, and a strong belief in the need for more education on the prevention of it. Levels of confidence in preventing deconditioning in older adults were modest, but participants expressed positive attitudes toward nurses' role in deconditioning care. Barriers to deconditioning care included lack of education, low staffing levels, and a lack of valuing prevention efforts. CONCLUSION: This study suggests that it is important to establish gerontology continuing education programs with a core component on deconditioning treatment and prevention to enhance nurses' knowledge and confidence levels in providing care to older adults.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.434
Threshold uncertainty score0.386

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.014
GPT teacher head0.394
Teacher spread0.380 · 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