The role of gender inequities in women's access to reproductive health services: a population-level study of Simiyu Region Tanzania
Bibliographic record
Abstract
BACKGROUND: Amref Health Africa, with support from Global Affairs Canada, examines if women's access to reproductive health services in Tanzania is affected by Gender social norms, decision-making power, roles and responsibility, and access to resources in relation to the utilization of reproductive Health Services in Tanzania. A Gender Need Assessment (GNA) was conducted in five districts in ' 'Tanzania Simiyu Region to improve the infrastructure, supply, quality, and demand for integrated Reproductive, Maternal, Newborn, and Child and Adolescent Health (RMNCAH), Nutrition, and Water, Sanitation, and Hygiene (WASH) services. The analysis identifies gender as a fundamental maternal and child health driver through existing gender inequality at the household and community levels that dictates women's status. METHODS: The qualitative assessment involved data collected from gender- and age-desegregated focus group discussions (FGDs) and in-depth interviews (IDIs) of key informants in three districts; Bariadi, Busega, and Meatu, in Simiyu region, Tanzania. Participants comprised 8-10 married women and men, unmarried women and men, and adolescent boys and girls. A total of 129 participants were involved in the FGDs. RESULTS: This paper reports the critical drivers influencing gender inequality in Simiyu by detailing how Gender inequality affected women's access to reproductive health care in relation to; gender social norms, decision-making power, access to resources at the household and community level, roles and responsibilities, including men's and 'boys' roles are more valued than the roles and responsibilities of women and girls resulted to limited free time to do things for themselves, such as visiting the health facilities for RMNCAH. CONCLUSIONS: This paper explored gender-based enablers and/or barriers influencing women and girls' realization of their sexual and reproductive health and rights. It was found that social norms, decision-making powers, and lack of access to and control over resources presented as key barriers. In contrast, continuous community sensitization and increased scope of women's participation in decision-making served as enabling environment to overcome gender inequities that influence woman's use of RMNCAH services in Tanzania. Such insights will shape interventions geared towards valuing differences in a manner that overcome gender inequities that influence woman's use of RMNCAH services in Tanzania.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".