Exploring Women's Personal Experiences of Giving Birth in Gonabad City: A Qualitative Study
Bibliographic record
Abstract
BACKGROUND: Women's health is an important task in society. The aim of this qualitative study that used a phenomenological approach was to explain women's personal experiences of giving birth in Gonabad city that had positive experiences of giving birth in order to establish quality cares and the related factors of midwifery cares for this physiological phenomenon. METHODS: The participants were 21 primiparae women who gave a normal and or uncomplicated giving birth in the hospital of Gonabad University of medical sciences. Based on a purposeful approach in-depth interviews were continued to reach data saturation. The data were collected through open and semi-structured interactional in-depth interviews with all the participants. All the interviews were taped, transcribed and then analyzed through a qualitative content analysis method to identify the concepts and themes. FINDINGS: Some categories were emerged. A quiet and safe environment was the most urgent need of the most women giving birth. Unnecessary routine interventions that are performed on all women regardless of their needs and should be avoided were considered such as: "absolute rest, establishing vein, frequent vaginal examinations, fasting and early Amniotomy". All the women wanted to take part actively in their giving birth, because they believed it could affect their giving birth. CONCLUSION: We hope that the women's experiences of giving birth will be a pleasant and enjoyable experience for all the mothers giving birth.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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".