Factors Associated with Late Initiation of Antenatal Care among Pregnant Women Attending Antenatal Clinic at Public Health Centers in Kembata Tembaro Zone, Southern Ethiopia
Bibliographic record
Abstract
The purpose of this study was to identify those factors associated with late initiation of antenatal care among pregnant women attending antenatal clinics in public health centers in Kembata Tembaro Zone, Ethiopia. A facility based cross-sectional study with supplement of qualitative data was carried out to collect data from 401 pregnant women who were attending antenatal care service at five randomly selected governmental health centres in Kembata Tembaro Zone from March 10 to May 8, 2012 . Pretested and structured questionnaire was used to collect the data and data were entered onto a computer using Epi-info 3.5.1 statistical program then exported to SPSS Windows version 16.0 for further analysis. Binary descriptive statistics and multiple variable regressions were done.This study showed that prevalence of late entry to antenatal care was 68.6%. The mean timing was 5.5±1.8 months. Multivariate analysis revealed that age, maternal education, family income, parity, previous utilization of antenatal care and type of pregnancy remained significant factors influencing late booking. The findings of this study showed that most women book antenatal care late. This seems to be because antenatal care is viewed primarily as curative rather than preventive in the study population. Public enlightenment, health education coupled with women empowerment would be helpful in reducing the problem. In addition to that incorporation of the benefits of early booking in the routine antenatal care education.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| 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".