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Record W2888273929 · doi:10.26630/jk.v9i1.667

Perbedaan Skor Nyeri pada Anak dengan Pemberian Madu Setelah Dilakukan Tindakan Pemasangan Infus

2018· article· en· W2888273929 on OpenAlexaboutno aff
Sintiya Halisya Pebriani, Irwadi Irwadi

Bibliographic record

VenueJurnal Kesehatan · 2018
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineIncidence (geometry)RespondentStatistical significancePain scoreMann–Whitney U testAnxietyPhysical therapyIntervention (counseling)AnesthesiaInternal medicineNursingPsychiatry

Abstract

fetched live from OpenAlex

Intravenous fluid therapy in a child in the emergency room may lead to prolonged trauma and is a procedure that can cause anxiety, fear and uncomfortable pain. Handling of pain in children can be done with non-pharmacological techniques that are by giving a sweet taste of honey, wherein honey contains flavonoid content that can inhibit the pain. The purpose of this study was to know differences in pain scores after the installation of infusion between groups of children given honey and not given honey. The research design used in the form of quasi-experiment with nonequivalent control group type, post-only design, with the number of samples were 34 people who met the inclusion criteria. The sample was divided into two groups: the intervention group who received honey peroral (17 respondents) and the control group who did not get honey peroral (17 respondents), with age of respondent 1-6 years. Pain scores were evaluated with Children's Hospital of the Eastern Ontario Pain Scale (CHEOPS). A statistical test was using Mann-Whitney test with 95% (α=0,05 ) incidence rate. The result showed that there was a difference in child pain score in intervention group and control group with p-value=0.000. It can be concluded that there was an effect of giving honey to pain score, wherein the intervention group the pain score was lower than the control group, meaning that honey can reduce the pain response in children.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.291
Teacher spread0.275 · 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

Citations4
Published2018
Admission routes1
Has abstractyes

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