Adolescents' satisfaction with care for abortion‐related complications in 11 Sub‐Saharan African countries: A cross‐sectional facility‐based study
Bibliographic record
Abstract
OBJECTIVE: To assess satisfaction with care for abortion-related complications experienced among adolescents compared to older women. METHODS: A secondary analysis of the WHO Multi-Country Survey on Abortion-related Morbidity and Mortality-a cross-sectional study conducted in health facilities in 11 Sub-Saharan African countries. Women with abortion-related complications who participated in an audio computer-assisted self-interview were included. Two composite measures of overall satisfaction were created based on five questions: (1) study participants who were either satisfied or very satisfied across all five questions; and (2) study participants who reported being very satisfied only across all five questions. Multivariable general estimating equation analyses were conducted to assess whether there was any evidence that age (adolescents 12-19 years and older women 20+) was associated with each composite measure of satisfaction, controlling for key confounders. RESULTS: The study sample consisted of 2817 women (15% adolescents). Over 75% of participants reported being satisfied or very satisfied for four out of five questions. Overall, 52.9% of study participants reported being satisfied/very satisfied across all five questions and 22.4% reported being consistently very satisfied. Multivariable analyses showed no evidence of an association between age group and being either satisfied or very satisfied (OR 1.07; 95% CI, 0.82-1.41, P = 0.60), but showed strong evidence that adolescents were 50% more likely to be consistently very satisfied with their overall care than older women (OR 1.49; 95% CI, 1.13-1.96, P = 0.005). CONCLUSION: Both adolescents and older women reported high levels of satisfaction with care when looking at different components of care individually, but the results of the composite measure for satisfaction showed that many study participants reported being less than satisfied with at least one element of their care. Further studies to explore the expectations, needs, and values of women's satisfaction with care for abortion-related complications are needed.
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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 | 0.001 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".