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Record W4307291117 · doi:10.1002/nur.22271

Children and pain: Assessment and management according to parents' perspective

2022· article· en· W4307291117 on OpenAlexaffabout
Assumpta Ndengeyingoma, Valérie Lebel, Sandra Bonilla Alvarez

Bibliographic record

VenueResearch in Nursing & Health · 2022
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsThematic analysisMedical prescriptionPerspective (graphical)MedicineDeclarationPain managementQualitative researchPhonePain assessmentFamily medicinePhysical therapyNursing

Abstract

fetched live from OpenAlex

Pain in children is frequent. Parents evaluate their children's pain to decide how to manage it or to share information with caregivers. This qualitative descriptive study aims to identify elements influencing the evaluation and management of pain in children from a parent's perspective. Participants were recruited through a pediatric center and university family medicine clinic. Participants had to have used medication for their child that was prescribed "as needed" to manage their child's pain in the month preceding the interview, whether it was a prescription-strength medication or an over-the-counter strength prescription. Semi-directed interviews 30-45 min in duration were conducted with 16 parents in the Outaouais region of Quebec (Canada), either at the participant's home or by phone (after the declaration of the COVID-19 pandemic). A thematic analysis was completed to identify themes in the data from these individual interviews. The evaluation of children's pain by their parents is influenced by the parents' experience with pain and the expression of the pain by the children, whereas the actions to relieve the pain are based on the beliefs surrounding pain management in children. Evaluation of pain is complex since many parents' beliefs influence this evaluation and the subsequent pain management. The study results raise healthcare professionals' awareness regarding several elements which influence the evaluation of children's pain and its management by their parents.

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)0.000
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 score0.328
Threshold uncertainty score0.958

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.062
GPT teacher head0.496
Teacher spread0.433 · 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

Citations9
Published2022
Admission routes2
Has abstractyes

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