MétaCan
Menu
Back to cohort

The Experience of Dyspnea in School-Age Children with Asthma

2009· article· en· W2014662031 on OpenAlexaff
Roberta L. Woodgate

Bibliographic record

VenueMCN The American Journal of Maternal/Child Nursing · 2009
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsFeelingAsthmaCoping (psychology)PerceptionMedicineDistressingQualitative researchPsychologyClinical psychologySocial psychology

Abstract

fetched live from OpenAlex

PURPOSE: To explore the experience of dyspnea in school-age children with asthma including exploring children's perceptions of the (1) sensations of dyspnea, (2) precipitants of dyspnea, (3) coping strategies used to deal with dyspnea, and (4) effects of dyspnea on lives of children. STUDY DESIGN AND METHODS: This interpretive, descriptive, qualitative research study had a sample of 30 school-age children diagnosed with asthma. Data collection involved individual open-ended interviews combined with drawings. Transcribed data were analyzed using the constant comparative method. RESULTS: The childrens' experiences with dyspnea were represented by five themes: (1) it is an overwhelming feeling, (2) it is mainly..., (3) I slow it down, (4) others only need to help when it is really bad, and (5) I am not a player. Although children varied with respect to how they described their experiences, they all reinforced that the sensation of dyspnea was distressing and painful, something that when experienced overshadowed everything else. CLINICAL IMPLICATIONS: Children with dyspnea have much to share about what it is like to experience dyspnea that may be used by nurses to provide comprehensive and sensitive care. Nurses need to take into account the individuality of children's dyspnea experiences when developing treatment plans for children with asthma. Education programs that are tailored to meet individual needs will help children to take control and manage their dyspnea.

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)0.000
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 score0.351
Threshold uncertainty score0.294

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.005
GPT teacher head0.263
Teacher spread0.258 · 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

Citations11
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueMCN The American Journal of Maternal/Child NursingSame topicAsthma and respiratory diseasesFrench-language works237,207