The prevalence of and factors associated with prior induced abortion among women who gave birth in Victoria, 2010–2019
Bibliographic record
Abstract
OBJECTIVE: To assess the prevalence of a history of induced abortion among women who gave birth in Victoria during 2010-2019; to assess the association of socio-demographic factors with a history of induced abortion. STUDY DESIGN: Retrospective cohort study; analysis of cross-sectional perinatal data in the Victorian Perinatal Data Collection (VPDC). SETTING, PARTICIPANTS: All women who gave birth (live or stillborn) in Victoria, 1 January 2010 - 31 December 2019. MAIN OUTCOME MEASURES: Self-reported induced abortions prior to the index birth; outcome of the most recent pregnancy preceding the index pregnancy. RESULTS: Of the 766 488 women who gave birth during 2010-2019, 93 251 reported induced abortions (12.2%), including 36 938 of 338 547 nulliparous women (10.9%). Women living in inner regional (adjusted odds ratio [aOR], 0.94; 95% confidence interval [CI], 0.93-0.96) or outer regional/remote/very remote areas (aOR, 0.86; 95% CI, 0.83-0.89) were less likely than women in major cities to report induced abortions. The likelihood increased steadily with age at the index birth and with parity, and was also higher for women without partners at the index birth (aOR, 2.20; 95% CI, 2.16-2.25) and Aboriginal and Torres Strait Islander women (aOR, 1.32; 95% CI, 1.25-1.40). The likelihood was lower for women born in most areas outside Australia than for those born in Australia. The likelihood of a history of induced abortion declined across the study period overall (2019 v 2010: 0.93; 95% CI, 0.90-0.96) and for women in major cities (0.88; 95% CI, 0.84-0.91); rises in inner regional and outer regional/remote/very remote areas were not statistically significant. CONCLUSIONS: Access to abortion care in Victoria improved during 2010-2019, but the complex interplay between contraceptive use, unintended pregnancy, and induced abortion requires further exploration by remoteness of residence. Robust information about numbers of unintended pregnancies and access to reproductive health services are needed to guide national sexual and reproductive health policy and practice.
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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 | 0.000 |
| 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".