Men perspectives on attending antenatal care visits together with their pregnant partners in Misungwi district, rural Tanzania: a qualitative study
Bibliographic record
Abstract
Abstract Background: Mens’ attendance, together with their pregnant partners at facility-based antenatal care (ANC) visits is important, yet remains uncommon in parts of rural Tanzania. This study examined perspectives of men on attending with their pregnant partners in Misungwi District, Tanzania.Methods: Individual interviews (n=6) and focus group discussions (5) were conducted using semi-structured questionnaires with fathers, expectant fathers and other key informants (health providers, volunteer community health workers, Village leaders). The interviewers were researchers trained on how to conduct interviews prior field visits. The questions were asked using Tanzania National language ( Swahili).Transcripts were recorded, transcribed in Swahili Language and later on it was translated in English language. The research team conducted thematic analysis using English language by grouping related codes into themes. The main themes were obtained upon agreement with the research team. Results: Two key system/societal-level themes were identified: (1) males who attended facility-based ANC visits and experienced lack of being given ANC feedback from health care workers and partners and hence men felt excluded from visit services; and (2) traditional cultural beliefs and gender roles strongly influenced the choice not to attend visits. This resulted into men being hidden pregnancy details (secrecy) from their partners in the community. Conclusion: To maximize gender equity in maternal and health requires involvement of men at ANC visits in Misungwi. This can be achieved by addressing core traditional and systemic barriers including use of community health workers. Improved communication between partners and health care providers through provision of ANC feedback and male involvement in examination room is warranted to promote access to ANC.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".