Impact of approval of home use of misoprostol in England on access to medical abortion: An interrupted time series analysis
Bibliographic record
Abstract
OBJECTIVE: In 2018, the Department of Health and Social Care in England approved the use of misoprostol at home for early medical abortions, following administration of mifepristone at clinic. The objective of the present study was to assess the impact of the approval of home administration of misoprostol in England on access to medical abortion, assessed through proxy measures of the proportion of all abortions that were medical and gestational age. METHODS: This study uses the clinical data from the British Pregnancy Advisory Service on abortions in England in years 2018-2019, containing demographic and procedure characteristics of patients. We conducted an interrupted time series analysis to establish the differences before and after the approval in access to medical abortion, measured by the proportion of all abortions that were medical, and gestational age. The analysis also examined whether these changes were equitable, with focus on area-level deprivation. RESULTS: The analysis of the data (145 529 abortions) suggested that there was an increase in the proportion of medical abortions and decrease in gestational age of abortions after the approval. Compared with the situation if former trends had continued, the actual proportion of early medical abortions was 4.2% higher in December 2019, and the mean gestational age 3.4 days lower. We found that the acceleration of existing trends in increase in proportion of medical abortions and decrease in gestational age were larger in the most deprived quintiles and in those reporting a disability, but not equal across ethnic groups, with Black and Black British women experiencing little change in trajectories post-approval. CONCLUSION: The approval of home use of misoprostol as part of an early medical abortion regimen in England was associated with material and equitable improvements in abortion access. Pre-approval trends toward greater uptake of medical abortion and declining gestational age were accelerated post-approval and were greatest in the most deprived areas of England, but not across all racial/ethnic groups. The present findings strongly support the continuation or introduction of home management of medical abortions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".