Postabortion Family Planning Utilization and Associated Factors among Women seeking Abortion Services: A Cross-Sectional Study
Bibliographic record
Abstract
Ethiopia is a country which suffers with one of the highest levels of unintended pregnancies and unsafe abortion practices. The aim of this study was to assess the utilization of post-abortion family planning and associated factors among women seeking abortion services in Asella town health facilities. A facility based cross-sectional study design was conducted among women who came for abortion services from July 15 to October 15, 2019. Two hundred seventy-six participants were included using a systematic random sampling technique. Both descriptive and logistic regression analysis were conducted. In multivariate analysis, variables which had a p-value < 0.05 was considered as significantly associated with the outcome variable. Postabortion family planning utilization among study participants was 146 (53.7%) (95% CI=47.4, 59.2). Formal education (AOR=4.45: 95% CI: (1.18, 16.74), previous history of abortion (AOR=0.35; 95% CI: (0.14, 0.85), positive attitude to towards family planning (AOR=2.62; 95% CI: (1.09, 6.27), counseled on postabortion family planning utilization (AOR=3.12; 95% CI: (1.30, 7.51) were significantly associated with post abortion family planning utilization. In this study, nearly fifty percent of the respondents did not utilize Postabortion Family Planning (PAFP). Educational status, history of pervious abortion, decision when to have a child, attitude toward PAFP utilization and counseling about PAFP were significantly associated with post-abortion family planning use. The health care providers who give abortion service should give counseling for all women who get abortion service. More accents should be given to misperception of PAFP to change the negative attitude of utilization of PAFP.
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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 | 0.004 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".