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Record W4403702296 · doi:10.1111/ijun.12423

Psychometric testing of the continence and mobility in older adults knowledge quiz

2024· article· en· W4403702296 on OpenAlexafffundabout
Sherry Dahlke, Kathleen F. Hunter, Jeffrey I. Butler, Matthew Pietrosanu

Bibliographic record

VenueInternational Journal of Urological Nursing · 2024
Typearticle
Languageen
FieldHealth Professions
TopicPressure Ulcer Prevention and Management
Canadian institutionsUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsMedicineGerontology

Abstract

fetched live from OpenAlex

Abstract What are the psychometric properties of the Continence and Mobility in Older Adults Knowledge Quiz? Our previous research revealed gaps in practicing and student nurses' knowledge of mobility and continence in older people. To address this gap, we developed a self‐directed e‐learning module on continence and mobility to enhance student nurses knowledge. The module provided education about continence, mobility, and the links between them. Since we were unable to locate a continence and mobility measure that captured both lower urinary track symptoms and elements of mobility, we developed a continence and mobility knowledge quiz. For researchers and educators to be able to use this quiz with confidence, psychometric testing of our continence and mobility knowledge quiz was required. When caring for older people, two geriatric challenges—continence and mobility—are often linked and viewed as indicators of frailty. Functional changes related to continence and/or mobility can indicate an acute illness in older persons and, if left untreated, can result in permanent changes managing continence needs. Continence care is often viewed negatively and is not prioritized by nurses. We employed stages in development of the Continence and Mobility Knowledge Quiz. In stage one, we developed 18 item true/false items from the literature with the guidance of a continence expert. In stage two, we tested the Quiz with nursing students from three universities in Canada. In stage three, (the current stage) we assessed the validity of the scale using a factor analysis and a reliability analysis (via standardized Cronbach's alpha). From our sample of 420, factor analysis indicated a two‐factor model (as suggested by Kaiser's rule), explained 22% of the variation in responses to the assessment items. We recommend removing item 7 as it does not contribute to the internal consistency of the tool. Cronbach's alpha after removing 7 is 0.65, indicating satisfactory reliability. To our knowledge, this is the first validated tool for measuring nurse knowledge about continence and mobility that addresses both a range of lower urinary tract symptoms and elements of mobility in 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.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.462
Threshold uncertainty score0.199

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.000
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 head0.055
GPT teacher head0.435
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

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 designObservational
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

Citations1
Published2024
Admission routes3
Has abstractyes

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