Curbing publicly-funded family planning services in Iran: who is affected?
Bibliographic record
Abstract
OBJECTIVE: In response to a persistent low fertility rate in the country, the Supreme Leader of Iran in 2012 called for the shift to pronatalist population policies. Consequently, Iran's Parliament proposed a bill to curb the provision of contraceptive knowledge and services as a solution to raising the country's low fertility rate. This study aimed to investigate which groups of women will be adversely affected if the provision of subsidised contraceptive methods [i.e. sterilisation, intrauterine device (IUD) and injections] is curbed. METHODS: This study used recent data from the 2014 Tehran Survey of Fertility (n=3012) conducted among a representative sample of 3012 married women of reproductive age, and used multinomial logistic regression analysis to identify women with a higher likelihood of using government-funded contraceptive methods. RESULTS: Currently 82% of married women living in Tehran use a contraceptive method. The use of long-acting contraception, namely sterilisation and IUDs, declined from 34% in 2000 to 20% in 2014, and the prevalence of male methods (withdrawal and condoms) increased from 33% to 55% in the same period. Multivariate results showed that women who have a large number of children, want no more children, live in poor districts, and have low education are more likely to use long-acting contraceptive methods than withdrawal and condoms. CONCLUSIONS: Women of low socioeconomic status who want to stop childbearing are the most vulnerable subgroups of the population if the publicly-funded family planning services are curbed.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".