Prevalence and Determinants of Unintended Pregnancy among Women Receiving Antenatal Care Services: A Facility-Based Cross-Sectional Study in Ghana
Bibliographic record
Abstract
Globally, unintended pregnancy represents an important public health challenge with significant social, economic and clinical repercussions which are worse in low-income and middle-income countries. Appropriate use of modern contraceptives averts significant proportions of unintended pregnancies and pregnancy complications. The objective of this study was to determine the prevalence and determinants of unintended pregnancy and explore modern contraceptive use among pregnant women A cross-sectional study was conducted among pregnant women receiving antenatal care at Korle-Bu Teaching hospital in Ghana using a face-to-face structured interview. Descriptive analysis was performed and multivariable logistic regression was used to assess the determinants of unintended pregnancy. Among the included 450 pregnant women receiving antenatal care, 155 (34.4%) had unintended pregnancy out of which 33 (21.3%) were using contraceptives prior to conception. In all, 14.2% (64/450) were using modern contraceptives. There was a significant difference between women and their partners regarding the perception of their index pregnancy as unintended (34.4% versus 31.6%, p-value <0.001). Significant determinants of unintended pregnancy include younger maternal age [aOR:5.706, 95%CI (1.860, 19.732)], unmarried status [aOR:5.238, 95%CI (2.882, 9.735)], previous childbirth [(aOR:2.376, 95%CI (1.460, 4.758], number of pregnancies ≥6 [aOR:2.640, 95%CI (1.210, 5.854)], number pregnancies ≤2 [aOR:0.417, 95%CI (0.252, 0.682)], previous caesarean birth [aOR:2.034, 95%CI (1.154, 3.306)] and contraceptive use prior to index pregnancy [aOR:2.305 95%CI (1.283-4.162)]. The prevalence of unintended pregnancy remains markedly high while prior contraceptive use was relatively low among women receiving antenatal care. Evidence-based interventions including specialized client education are vital in improving optimal use of contraceptive services. We recommend further research including community-based qualitative studies to better understand the factors associated with contraceptive uptake and outcomes of unintended pregnancy.
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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 | 0.002 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".