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Record W1978231937 · doi:10.1783/147118901101195759

Repeat use of emergency contraception: How frequent is it?

2001· article· en· W1978231937 on OpenAlexaboutno aff
Judith Roizen, Ruth Garside, Lisa Barnett

Bibliographic record

VenueJournal of Family Planning and Reproductive Health Care · 2001
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsnot available
Fundersnot available
KeywordsEmergency contraceptionMedicineFamily planningQuarter (Canadian coin)CondomAuditFamily medicineDeveloped countryDemographyPopulationResearch methodologyEnvironmental healthHuman immunodeficiency virus (HIV)

Abstract

fetched live from OpenAlex

OBJECTIVE: To measure the level of repeat use of emergency contraception (EC) in family planning clinics (FPCs) in North and East Devon. DESIGN: An audit of repeat use of EC was carried out in seven FPCs, in parallel with a client survey. All women seeking EC in the study period were included (n = 572). RESULTS: Nearly 70% of women had 'ever' used EC prior to the study visit; over half had previously used EC in the year of the study; a quarter had previously used EC three or more times in the same period. Teenagers were more likely to have previously used EC in the study year, but half of all repeat users were aged 20 and older. Asked why EC was needed today, most women reported current use of regular contraception, but almost a quarter had had unprotected sex, and half reported a condom mishap. CONCLUSIONS: These results show frequent repeat use of EC and do not support recent research based on general practice records, which suggests that repeat use is rare. If EC users use multiple sources of EC, or prefer alternative sources, repeat use of EC will be underestimated if calculated using general practitioner (GP) records alone.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.124
GPT teacher head0.387
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations18
Published2001
Admission routes1
Has abstractyes

Explore more

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