Awareness and utilization of modern contraceptives among street women in North-West Ethiopia
Bibliographic record
Abstract
BACKGROUND: Contraception is a major component of reproductive health. Assessing the levels of contraceptive awareness and use helps to identify potential areas of intervention. Hence, this study was conducted to assess awareness, practice and associated factors of modern contraceptives among street women in North-West Ethiopia. METHODS: A cross-sectional study was conducted on 204 street women from Gondar and Bahir Dar cities. Participants were recruited from "cluster" sites such as main road sides, isolated slum areas, around Churches and/or Mosques (in the mornings of Sundays and other religious feast days) and streets where street women usually reside and/or sleep. Data were collected using a pre-tested and structured interview questionnaire in local language (Amharic) after informed verbal consent. Data were then entered into SPSS version 16.0 for analysis. Binary logistic regression models were fit to assess associations and control confounding. Associations were measured by the Odds ratio and its 95% confidence interval. RESULTS: The mean (± SD) age of participants was 30.9 (± 8.7) years. Majority (90.7%) had ever heard about modern contraceptives. Nearly half (47.1%) had ever used and a third (34.3%) were current users. Three quarter of the current users (74.3%) were using injectables while 10% were on long acting or permanent methods. Marital status (AOR=2.81), family size (AOR=2.67) and age of 25-34 years (AOR=3.45) were associated with modern contraceptive use. CONCLUSIONS: Current contraceptive use among street women is satisfactory considering their life styles and living conditions. However, further research is required to explain perceptions and hidden barriers.
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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) | 0.000 | 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 | 0.000 |
| 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".