Gynecological Morbidity and Treatment Seeking Behavior in South India: Evidence from the Reproductive and Child Health Survey 1998-1999
Bibliographic record
Abstract
In the recent years, the issue of gynaecological problems of poor women in the developing countries has been receiving increasing attention. Gynaecological morbidity refers to reproductive morbidity other than related to pregnancy, abortion, childbearing, and contraception. High levels of gynaecological morbidity, especially reproductive tract infections and sexually transmitted infections (RTIs/STIs) may turn out to be fatal if not treated properly. The present paper tries to examine the influences of socio-economic and demographic factors on gynaecological morbidity and treatment seeking behaviour in Tamil Nadu. The data for this study have been drawn from the Reproductive and Child Health Survey that covered 18040 currently married women in the reproductive age group of 15-44 years in Tamil Nadu. The logistic regression technique has been used to estimate the net effects of various socio-economic and demographic variables on the likelihood of gynaecological morbidity. The paper also examines the influences of various factors on treatment seeking behaviour for gynaecological morbidity, that is, whether treatment is sought and if so, the source of treatment, public or private sector. For this purpose, the multinomial logistic regression technique has been used, with no treatment, treatment from public medical sector, and treatment from private medical sector as the multinomial response. The study found that 36.3 percent of women of childbearing ages had experienced any one symptom of RTI/STI and among them 31.5 percent had taken treatment. The results reveal that women in low level of education, pregnancy wastage, and contraceptive users are significantly more likely to report symptoms of RTI/STI. Further, the tendency to seek treatment from the public health sector is greater among those women belonging to the SC/ST, having experienced pregnancy wastage, and contraceptive users. Literate women are significantly more likely to seek treatment from the private medical sector. Some other factors show mild effects.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".