Prevalence of and Factors Associated with Reproductive Tract Infections among Pregnant Women in Ten Communes in Nghe An Province, Vietnam
Bibliographic record
Abstract
BACKGROUND: A community-based survey was conducted to investigate reproductive tract infections (RTIs) among pregnant women in Vietnam, where epidemiologic data on these infections are scarce. METHODS: The focus of the study were: candidiasis, bacterial vaginosis, group B streptococcal infection,trichomoniasis, gonorrhea, syphilis, and hepatitis B. In addition to their prevalence, a generalized estimating equation was used to analyze infection-associated factors and diagnostic test analysis to examine the accuracy of currently performed presumptive clinical diagnoses. RESULTS: Among 505 pregnant women in 10 communes, 182 (36%) had at least one infection with a wide regional variation in prevalence. The most prevalent infection was candidiasis (17%); sexually transmitted infections were rare except hepatitis B (10%); and the prevalence of bacterial vaginosis and group B streptococcal infections was 7% and 4%, respectively. Two factors were associated with the decreased risk of endogenous infections: a higher household assets score (odds ratio [OR] = 0.67) and condom use (OR = 0.15). Not living with a husband (OR = 1.55) was associated with an increased risk. For hepatitis B, three factors were associated with a decreased risk: employment by the government (OR = 0.26), higher education (OR = 0.18), and being older at the time of first sexual intercourse (OR = 0.58). Women's self-reported symptoms and clinical findings had low positive predictive values. Only clinical findings from the vaginal wall showed both a sensitivity and specificity over 50%. CONCLUSIONS: Suggested recommendations are: extensive application of microscopic diagnosis, prevention of hepatitis B transmission, and addressing the issues of regional differences in the prevalence of RTI and of less wealthy people.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".