Age matters: differential impact of service quality on contraceptive uptake among post-abortion clients in Kenya
Bibliographic record
Abstract
This paper analyses the impact of high quality, user-friendly, comprehensive sliding-scale post-abortion services on clients' uptake of contraception in a Kenyan town. Data were drawn from detailed physician records in a private clinic that served 1080 post-abortion clients in 2006. All clients received confidential family planning counselling and were offered a complete range of contraceptives at no additional cost. One quarter of clients were below age 19. Prior to the abortion, no client aged 10-18 years reported having used contraception, as compared to 60% of clients aged 27-46 years. After the abortion and family planning counselling session, only 6% of clients aged 10-18 chose a method, as compared to 96% of clients aged 27-46, even though contraception was free, the provider strongly promoted family planning to everyone and all clients had just experienced an unwanted pregnancy. Significant predictors of contraceptive uptake post-abortion were: having a child, a previous termination, prior contraceptive use and being older than 21. These findings suggest that availability, affordability and youth-friendliness are not sufficient to overcome psycho-social barriers to contraceptive use for sexually-active young people in Kenya. To reduce unwanted pregnancies, more attention may be needed to developing youth-friendly communities that support responsible sexuality among adolescents.
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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".