Relevance of the Health Extension Program to the current Health Needs and Evolving Demands of Rural Ethiopia: A Mixed-Method Analysis
Bibliographic record
Abstract
Background: The unmet need for family planning (FP) is a major impediment to achieving the sustainable development goal The COVID-19 pandemic and other contextual, individual, and hospital-related problems are major barriers that reduce FP service uptake. However, most of the studies are quantitative and give due focus to individual and community-level barriers. Therefore, this study tends to explore barriers to the utilization of FP in Ethiopia including health care and contextual barriers. Methods: A multiple explorative case study design was employed from October to December 2021 and a total of 41 Key-informant interviews, 32 in-depth interviews, and 13 focus group discussions were performed by using the purposive sampling technique. The data were analyzed with a thematic content analysis approach using NVivo software. Result: This study explored barriers to FP in four major teams; individual, community-related, health system, and contextual barriers. It reviled that the community's misconception, fear of side effects, lack of women's decision-making autonomy, existing socio-cultural norms, religious conditions, topography, covid 19 pandemic, and conflict were the major barriers to FP service utilization. Conclusion: Using the four teams mentioned above, this study identified different poor health professional skills, misconceptions, pandemics, functional, and structurally related barriers. As a result, it is recommended that health education for the community and training for health professionals are important. Collaboration between government and non-government organizations is also mandatory for strengthening mentorship and supervision systems and establishing resilient health care that can avoid future pandemics.
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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 | 0.015 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| 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".