The fear of social stigma experienced by men: a barrier to male involvement in antenatal care in Misungwi District, rural Tanzania
Bibliographic record
Abstract
BACKGROUND: Evidence has shown that male involvement is associated with improved maternal health outcomes. In rural Tanzania, men are the main decision makers and may determine women's access to health services and ultimately their health outcomes. Despite efforts geared towards enhancing male participation in maternal health care, their involvement in antenatal care (ANC) remains low. One barrier that impacts men's participation is the fear and experience of social stigma. This study, builds on previous findings about men's perspectives in attending antenatal care appointments in Misungwi district in Tanzania, examining more closely the fear of social stigma amongst men attending ANC together with their partners. METHODS: Twelve individual interviews and five focus group discussions were conducted using semi-structured questionnaires with fathers and expectant fathers. In-depth interviews were conducted with health providers, volunteer community health workers and village leaders. Interviews were audiotaped, and transcripts were transcribed and translated to English. Transcripts were organized in NVivo V.12 then analyzed using thematic approach. RESULTS: Three main themes were found to create fear of social stigma for men: 1. Fear of HIV testing; 2. Traditional Gender Norms and 3. Insecurity about family social and economic status. CONCLUSION: Respondent's experiences reveal that fear of social stigma is a major barrier to attend ANC services with their partners. Attention must be given to the complex sociocultural norms and social context that underly this issue at the community level. Strategies to address fear of social stigma require an understanding of the real reasons some men do not attend ANC and require community engagement of community health workers (CHWs), government officials and other stakeholders who understand the local context.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".