EMERGENCY CONTRACEPTION AMONG YOUTH POPULATION
Bibliographic record
Abstract
Problem statement. Every forth young woman in Russia has had sexual intercourse by the age of 17, around 40% of them did not use any method of contraception. Emergency contraception (EC) among young people in most cases can prevent unplanned pregnancy.Objective. To determine of frequency of EC use and awareness of EC among young people.Methods. The method of questioning was used (36 items). There were questions about gynecological anamnesis, experience in EC usage (female respondents only) and theoretical knowledge of EC (all participants). The questionnaire was presented in social networks and on paper carriers.The questionnaire was filled by 952 young persons (female u2013 802 (84.2%), male u2013150 (15.8%)) from various educational institutions, young doctors of different specialties, others. Mean age was 20.7u00b11.6 years (from 15 to 24 years). The group was a simple random sample.Results. Almost 10% of young women had pregnancy in the past, half of them were unplanned. Two thirds of unplanned pregnancies ended with medical abortions. One third of female respondents (32,9%) has used EC at least once, in all the cases they preferred levonorgestrel pills. The prevalence of EC usage grew with the increase of the respondents age. The majority of participants think that administration of EC is justifiable if unprotected sexual intercourse has taken place. Up to 65% of respondents know the right regimen of EC administration, a quarter of the participants have incorrect information, others were unable to answer. The greater part of all participants (63%) have incorrectly assume that repeated use of EC leads to infertility and reduction of effectiveness of EC methods. No one was aware of the possibility of an emergency intrauterine contraceptive introduction after unprotected intercourse.Knowledge of EC among schoolchildren and students of non-medical institutions was the lowest.Conclusions. Young people in Russia are highly aware of the existence of EC as such, but they have insufficient knowledge of it. It is highly important to give special lectures on family planning and contraception in schools and universities as it helps young people to maintain their reproductive health by using safe and effective methods of contraception.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.017 | 0.003 |
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".