Barriers to Infertility Treatment: An Integrated Study
Bibliographic record
Abstract
BACKGROUND: Infertility is one of the most important events in life. Despite the negative impact of infertility, a significant number of women struggling to conceive do not consult a physician and do not fallow up infertility treatment. This integrated study aimed to investigate a large amount of factors which influenced discontinuation of infertility treatment. METHODS: This integrated study (qualitative - quantitative study) was done on infertile women who had referred to infertility center in Jahrom University of medical sciences using purposive sampling. In the first study, data were collected from a valid questionnaire with 22 questions in a 5-point likert scale about barriers to infertility treatments and in the second study, as a phenomenology approach, data collection was done using deep unstructured interviews and focused groups were aimed to identify deep individual experiences about it. RESULTS: major barriers to infertility treatments included the probability of treatment failure (52.5%), couple's age and possibility of high risk pregnancy (51.5%), Painfulness of some treatment methods such as laparoscopy (50.5%). Qualitative results led to the identification of three main themes: Nature of treatment, negative thinking, social and cultural factors. CONCLUSION: As a result, we suggest family education and enrichment of cultural context in the field of infertility; infertile people would be willing to pursue infertility treatments.
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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 | 0.002 | 0.001 |
| 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".