Implications of power imbalance in antenatal care seeking among pregnant adolescents in rural Tanzania: A qualitative study
Bibliographic record
Abstract
BACKGROUND: Adolescent girls (10-19 years) are at increased risk of morbidity and mortality from pregnancy and childbirth complications, compared with older mothers. Low and middle-income countries, including Tanzania, bear the largest proportion of adolescent perinatal deaths. Few adolescent girls in Tanzania access antenatal care at health facilities, the reasons for which are poorly understood. METHODS: We conducted a qualitative thematic analysis study of the experiences of pregnant adolescents with accessing antenatal care in Misungwi district, Tanzania. We recruited 22 pregnant or parenting adolescent girls using purposive sampling, and conducted in-depth interviews (IDIs) about antenatal care experiences. IDI data were triangulated with data from eight focus group discussions (FGDs) involving young fathers and elder men/women, and nine key informant interviews (KIIs) conducted with local health care providers. FGDs, KIIs and IDIs were transcribed verbatim in Swahili. Transcripts were then translated to English and analysed using emergent thematic analysis. RESULTS: Four main themes emerged: 1) Lack of maternal personal autonomy, 2) Stigma and judgment, 3) Vulnerability to violence and abuse, and 4) Knowledge about antenatal care, and highlighted the complex power imbalance that underlies barriers and facilitators to care access at the individual, family/interpersonal, community, and health-systems levels, faced by pregnant adolescents in rural Tanzania. CONCLUSION: Adolescent antenatal care-seeking is compromised by a complex power imbalance that involves financial dependence, lack of choice, lack of personal autonomy in decision making, experiences of social stigma, judgement, violence and abuse. Multi-level interventions are needed to empower adolescent girls, and to address policies and social constructs that may act as barriers, thereby, potentially reducing maternal morbidity and mortality 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 | 0.005 | 0.005 |
| 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 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".