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Record W2923740141 · doi:10.26630/jk.v9i3.1166

Pengaruh Akupresur Lo4 (he kuk) dan Thai Cong terhadap Tingkat Nyeri Persalinan Kala I pada Ibu Bersalin

2018· article· en· W2923740141 on OpenAlexaboutno aff
Anita Anita

Bibliographic record

VenueJurnal Kesehatan · 2018
Typearticle
Languageen
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsnot available
Fundersnot available
KeywordsAcupressureMedicineLabor painPhysical therapyPopulationObstetricsPregnancyAlternative medicine

Abstract

fetched live from OpenAlex

The study of women in the first stage of labor using McGill Pain Questionnaire to assess pain found that 60% of maternity described pain due to uterine contractions was very severe (intolerable, unverable, extremely severe), 30% moderate pain. In multipara 45% of pain is severe, 30% is moderate pain, 25% is mild pain (Acute Pain Services (APS), 2007). The aim of this study was to determine the effect of acupressure on the level of labor pain at the first time in maternity. Type of quantitative research, research design Quasy experiment. The population of first-time maternity with a 4-6 cm opening numbered 45 women giving birth per month, a sample of 40 respondents. The one group pre - post-test research design with interventions with acupressure point combinations L04 (he kuk) and thai cong that were carried out during the first active phase was 4-6 for 40 times at the time of his joke. The results showed that the level of first stage pain in maternity before acupressure was 6.00, SD 1,219 and after acupressure was 5.05 SD 1,218, it was concluded that there was an acupressure effect on the level of labor pain (p-value=0,000). The application of L04 (he kuk) acupressure and Cong Thai can reduce labor pain in the first stage active phase of opening 4-6.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.393
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.316
Teacher spread0.289 · 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

Citations10
Published2018
Admission routes1
Has abstractyes

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