Perception, attitude and involvement of men in maternal health care in a Nigerian community
Bibliographic record
Abstract
This study aimed to examine men’s perception, attitude and involvement in maternal care. A cross-sectional descriptive survey was carried out in Atelewo community in Osogbo, Osun State, Nigeria using multi-stage sampling technique to select 400 respondents. Participants were adult men of reproductive age. Data were collected using semi-structured questionnaire. In the study, there was no intervention component; and main outcome measures were perception of men about maternal health, attitude of men to maternal health and involvement of men in maternal care. Results revealed majority of the respondents 225 (62.2%) were within the age group 20 to 39 years with a mean age of 36.3 years ±10.86. Most of them were skilled workers 144 (39.8%) and many 147 (40.6%) had post primary school education. One hundred and eighty-six (51.5%) of the respondents had poor knowledge while 205 (56.5%) had a good attitude towards maternal health care. Concerning the involvement of the men in maternal health care of their wives, about a quarter 62 (29.1%), 87 (24.0%), 98 (27.1%) ever followed their wives to family planning clinic, ante-natal clinic and the delivery room respectively. Thus, the level of awareness of men about maternal heath was high, but their involvement in giving care was poor and only about half of them had good attitude towards maternal health care. Education and awareness programs should therefore be carried out by governmental agencies, non-governmental organizations and other voluntary groups to address involvement of men in maternal health care. Key words: Perception, attitude, involvement, maternal health, reproductive health, men, women.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".