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Record W3000821377 · doi:10.31372/20190404.1065

Terminological Usage Related to Dyspnea by Nursing Staff: A Cross-Sectional Questionnaire Survey

2020· article· en· W3000821377 on OpenAlexvenueno aff
Y Nemoto, Sayuri Suzuki, Shinichiro Okauchi, Katsunori Kagohashi, Hiroaki Satoh

Bibliographic record

VenueAsian/Pacific Island Nursing Journal · 2020
Typearticle
Languageen
FieldNursing
TopicNursing Diagnosis and Documentation
Canadian institutionsnot available
Fundersnot available
KeywordsCross-sectional studyQuestionnaireMedicineNursingNursing staffPsychologyFamily medicineSociologyPathology

Abstract

fetched live from OpenAlex

In recent years, additional expressions such as 'sensation of breathing discomfort' and 'discomfort of dyspnea' are being used in daily nursing care in Japan. To better understand the current status of the use of these terms by nurses, and to ascertain what the term 'dyspnea' may not express, we designed an original questionnaire and conducted a study with all nurses at our hospital. The questionnaire included questions to determine if nurses used these terms, and in what context. Of the 279 nurses in our hospital, 225 (80.6%) responded. Three-quarters of nurses indicated that they use these terms in clinical nursing practice. There was no difference in the usage of these terms between nurses who had or had not worked in a respiratory outpatients/ward. However, the percentage of nurses using these terms was higher amongst those with 10 years or less nursing experience compared with those with more than 10 years' experience. Open-ended questions revealed that these terms were used to communicate information between nurses and between nurses and patients' families. Our observations need to be verified in large-scale studies to determine if these terms are meaningful for nursing practice in that they describe something not expressed with 'dyspnea'. There is the possibility of confusion due to the use of inappropriate terms and a lack of education on the subject. Many nurses used these terms, and there may be things that the term 'dyspnea' could not express. The results of this study can be used to identify something that is lacking in communication about dyspnea between nurses, nurses and patients, and nurses and patients' families.

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 categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.466
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
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 head0.025
GPT teacher head0.330
Teacher spread0.306 · 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 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

Citations2
Published2020
Admission routes1
Has abstractyes

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