Access to and use of sexual and reproductive health services by adolescent girls in humanitarian crisis situation: The case of IDP sites in the City of Goma, Democratic Republic of the Congo
Bibliographic record
Abstract
Introduction This study investigates the factors influencing access to and use of sexual and reproductive health (SRH) services by adolescent girls living in humanitarian situations within internally displaced persons (IDP) sites in the city of Goma. Goma is the most critically affected area, where conflicts are currently most frequently reported. Purpose The aim of this study is to identify and analyse the factors influencing access to and use of SRH services among adolescent girls living in IDP sites in Goma, with the goal of proposing appropriate and effective solutions to enhance their well-being. Methods This cross-sectional, analytical study involved 740 internally displaced adolescent girls. Quantitative data were collected using KoboCollect via a structured questionnaire. The data were analysed using descriptive statistics and logistic regression models. Results More than a quarter (26.5%) of the respondents had no formal education. The logistic regression results indicate that the factors most significantly influencing the use of SRH services are age (OR = 1.16, p < 0.05), marital status (OR = 1.735, particularly for married women), and the respondents' level of knowledge about SRH (OR = 1.2, p < 0.02). Conclusion Stigma, social restrictions, low levels of education, and limited financial resources are identified as major barriers to accessing and using SRH services. Integrated interventions are essential to enhance the utilisation of these vital services among women of childbearing age in general, and adolescent girls in particular.
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 | 0.000 | 0.001 |
| 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) | 0.003 | 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".