Quality of life of immigrant and non‐immigrant infertile patients in a publicly funded in vitro fertilisation program: a cross‐sectional study
Bibliographic record
Abstract
OBJECTIVE: To investigate whether there are differences in fertility quality of life (FertiQoL) and socio-demographic characteristics between immigrants and non-immigrant patients attending a government-funded fertility program. DESIGN: Cross-sectional study. SETTING: McGill University Reproductive Center in Montreal, Canada, at a time when governmental funding for in vitro fertilisation (IVF) was provided to all residents. POPULATION: All infertile patients, males and females, attending the center between March and July 2015. METHODS: Patients were invited to complete anonymous questionnaires which included socio-demographic items and the validated FertiQoL questionnaire. MAIN OUTCOME MEASURES: Socio-demographic characteristics (age, gender, marital state, infertility type & duration, previous IVF attempts; education, employment, income, ethnicity, spoken languages) and FertiQoL scores. RESULTS: In all, 1020 patients completed the questionnaires; of these, 752 (77.7%) non-immigrant Canadian citizens and 215 (22.3%) resident immigrants were included in the analysis. Median duration in Canada for immigrants was 4 years. Immigrants were more likely to have university/graduate degrees (75% versus 64%), to be unemployed (37% versus 13.1%) and to have lower annual household incomes (72.8% versus 39.5%, all P < 0.05). They also reported poorer QoL and achieved significantly lower scores in the emotional, mind/body, social, treatment and total FertiQoL domains. Multivariate analysis showed male gender, lower education level and Caucasian/European ethnicity to be significantly associated with higher QoL. CONCLUSIONS: Despite governmental funding of IVF, immigrants experience reduced fertility QoL, implying cost is not the only barrier to IVF use. The reduced QoL may stem from cross-cultural differences in infertility perception. This population may be at greater risk for depression and anxiety and should be flagged accordingly. TWEETABLE ABSTRACT: Immigrants' fertility QoL is lower despite publicly funded IVF implying cost is not the only barrier to IVF use.
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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 | 0.001 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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".