“Trying not to be seen”: a qualitative study exploring adolescent girls’ experiences seeking antenatal care in a Nairobi informal settlement
Bibliographic record
Abstract
BACKGROUND: Adolescent girls living in low-income urban informal settlements face unique challenges that elevate their susceptibility to early childbearing. However, there has been limited research attention, especially qualitative studies, on their use or non-use of antenatal care (ANC) services. Informed by the socioecological theory, we examined the obstacles to and facilitators of ANC services use among pregnant adolescent girls in a low-income urban informal settlement in Kenya. METHODS: The study adopted a qualitative explanatory design. We purposively selected 22 adolescent girls aged 13-19 who were either pregnant or had given birth, 10 parents and three health providers to participate in individual interviews. We employed inductive and deductive thematic analyses informed by socioecological theory to explain the barriers to enablers of antenatal services use among pregnant adolescent girls in low-income informal settlements. FINDINGS: Most adolescent girls interviewed faced barriers at multiple socioecological levels, resulting in delayed ANC initiation and fragmented engagement with services. At the intrapersonal level, girls grappled with internalised stigma and late pregnancy recognition and acceptance, often dismissing early signs due to fear or denial. Their young age and limited knowledge of maternal health left them terrified in fear, caught between societal judgement and the daunting prospect of confronting their condition. At the interpersonal level, societal stigma and discrimination pushed many into secrecy, hindering their access to antenatal services. However, parents, other family members, and health providers played a key role in enabling access to care by offering various forms of support to pregnant girls, including offering counselling and accompanying girls to clinics. At the organisational level, user fees and condescending health providers' attitudes hindered ANC use. Yet, good patient-provider communication, privacy and confidentiality played a key role in enabling ANC attendance. CONCLUSION: Pregnant adolescent girls face unique challenges that prevent them from accessing ANC early and completing the recommended number of visits. These challenges range from intrapersonal factors to interpersonal and organisational factors. Programmes to improve early initiation of ANC for pregnant adolescents should include interventions that address the social stigma associated with early and unintended pregnancy, promote family support and make health facilities responsive to the needs of pregnant girls.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.009 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| 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".