A Study to Assess the Effectiveness of - Circular Hip Massage on First Stage Labour Pain among Primigravida Mothers in PPK Hospital at Kanyakumari District
Bibliographic record
Abstract
The study was undertaken to assess the effectiveness of circular hip massage on first stage labour pain among primigravida mothers in PPK hospital at Kanyakumari district. The overall aim of this research is to assess the effect of Circular Hip Massage on first stage labour pain among primigravida mothers. The researcher adopted a quantitative research approach with Quasi ? Experimental, Pretest Posttest control group design using purposive sampling technique.60 primigravida mothers who fulfilled the inclusive criteria were selected. Pretest and Post test was done for both experimental and control group with Modified McGill Pain Questionnaires and in experimental group Circular Hip Massage was given for 30 mothers before posttest. The collected data were analyzed based on above mentioned objective using the descriptive and inferential statistics. The result shows that the Circular Hip Massage was effective in reducing the level of first stage labour pain among primigravida mothers. It was found that there was a significant reduction in level of labour pain among primigravida mothers after Circular Hip Massage. The paired?t? test value was found to be 22.29, df =29, P<0.05. There was no association between the posttest level of labour pain with selected demographic variables in experimental group and control grou. Pain during labour is caused by contractions of the muscles of the uterus and by pressure on the cervix and it is more severe during first stage of labour. The results of the study concluded that the Circular Hip Massage was effective and it has no side effects and also it is a safe method in reducing the level of first stage labour pain.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".