Assessment of quality antenatal care-linked HIV counseling and testing as an intervention for prevention of mother-to-child transmission of HIV at government health facilities in Harari region, Eastern Ethiopia
Bibliographic record
Abstract
OBJECTIVE: To assess quality of antenatal care-linked to HIV counseling and testing as an intervention for prevention of mother-to-child transmission at government health facilities in Harar Town, Eastern Ethiopia, 2020. METHODS: Institutional-based cross-sectional study was done from 1 February to 30 February 2020 by applying quantitative method conducting in government health facilities in Harar town, Eastern, Ethiopia. A total of 422 participants were recruited from four governmental hospitals in Harar Town. Simple random sampling method was used to select the participants. Data were collected by three nurses selected from prospected hospitals. The collected data were cleaned, checked for quality, coded, and analyzed using "Software package Social Science, version 20" computer program. RESULT: From a total of 422 participants, 348 (82.5%) were satisfied with the counseling room's privacy, and having pre-test and post-test counseling by the same person provided comfort for 357 (98.9%) of clients. Three hundred eighty-nine (92.2%) felt comfortable with the counselors' client handling/respect; 386 (91.5%) were satisfied with technical competence of the counselors. About a quarter (25.4%) of clients had no discussion of prevention of mother-to-child transmission at all, and the majority (68.2%) comprehended that HIV counseling and testing could benefit prevention of mother-to-child transmission. CONCLUSION: Exit interview revealed that the basic topics were covered in most of the pre- and/or post-test sessions, and the majority of those counseled comprehended the information; however, nearly a quarter of the clients did not understand why they were offered HIV counseling and testing particularly during their pregnancy time.
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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 | 0.005 | 0.009 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".