Investigating the Effect of Hypnotherapy on Reducing Anxiety and Pain during Labor
Bibliographic record
Abstract
<p><strong>Background: </strong>Majority of women go through levels of anxiety during pregnancy. In this respect, anxiety and fear of labor pain are among the most common causes for elective Cesarean-section as a preferred type of childbirth by pregnant women. However, Caesarean-section delivery as a surgical technique can be accompanied by adverse side effects and outcomes for mother-infant health. Thus, the use of non-pharmaceutical approaches moderating anxiety and pain during labor can be beneficial in promoting the health status of mothers and babies. Accordingly, the purpose of the present study was to investigate the effect of hypnotherapy on reducing anxiety and pain during labor among pregnant women.</p><p><strong>Methodology: </strong>This study was an experimental research with a pre-test/posttest design comprised of experimental and control groups. Among the pregnant women referring to hospitals affiliated to Social Security Organization in Mazandaran Province, 30 nulliparous pregnant women with gestational age of 27-33 weeks were selected via convenience sampling method and then they were randomly designed to experimental and control groups of 15 individuals. The research instruments in this study included the Spielberger State-Trait Anxiety Inventory (STAI), McGill Pain Questionnaire (Index), as well as the Standard Numeric Rating Scale (NRS) and Visual Analogue Scale (VAS). In addition to routine prenatal care for pregnant women in the experimental group, hypnotherapy was used for 8 sessions to reduce prenatal anxiety and then it was employed to moderate pain during labor as an analgesic. However, the control group only received routine prenatal care. The data were also analyzed using the SPSS software (version 25) and parametric test of Covariance (ANCOVA); independent t test and nonparametric U Mann Whitney</p><p><strong>Findings: </strong>Comparing the post-test state-trait anxiety in both control and experimental groups, it was found that hypnotherapy could reduce anxiety in pregnant women in the experimental group. Furthermore; comparing the variable of pain in the experimental and control groups revealed that the mean score of pain in the experimental group was lower than the significance level (p-value&lt;0.00).</p><p><strong>Conclusion: </strong>It was concluded that hypnotherapy was effective in reducing anxiety and pain during labor and it could be used as a non-pharmaceutical approach during pregnancy and childbirth care.</p>
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.020 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".