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Record W4412397528 · doi:10.1177/23333936251349356

A Confidence and Preparedness Survey: Cognitive Interviews for Tool Assessment and Nursing Student Perspectives

2025· article· en· W4412397528 on OpenAlexaff
Joanne Roman Jones, Jennifer Morgan, Allison A. Lewinski, Ryan Chan, Richard Booth, Liza Behrens, Priscilla Gazarian

Bibliographic record

VenueGlobal Qualitative Nursing Research · 2025
Typearticle
Languageen
FieldHealth Professions
TopicPatient Safety and Medication Errors
Canadian institutionsWestern University
FundersHealth Services Research and Development
KeywordsPreparednessCLARITYPsychologyNursingNurse educationComprehensionAffect (linguistics)CognitionQualitative propertyMedical educationMedicine

Abstract

fetched live from OpenAlex

Safe medication administration is a critical responsibility of registered nurses and is an essential skill developed during nursing education. Student confidence and preparation regarding medication administration are essential aspects of professional skill building. The Confidence and Preparation Survey (CPS) was used previously among homogeneous nursing student samples. The existing dominant discourse, shaped by ideologies and systems, can unfortunately lead to limited perspectives; therefore, the purpose of this study was to evaluate and refine the CPS for feasibility, clarity, and validity among nursing students primarily from groups that have been historically marginalized. A secondary purpose considered the conditions that affect perceived confidence and preparedness. Cognitive interviews were undertaken with baccalaureate nursing students ( n = 11) attending an urban college of nursing in the Northeastern region of the United States. Data were analyzed using rapid qualitative techniques and the framework matrix method. The CPS was readily understood and interpreted by this sample. Student perspectives of conditions that influence their understanding and interpretation of the CPS are described under three themes: (1) prior outside of school healthcare experiences influence understanding, (2) school experiences support survey comprehension, and (3) concerns over insufficient training within school. Findings also include a revised CPS instrument ready for further testing.

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)0.010
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.259
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.424
GPT teacher head0.726
Teacher spread0.302 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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