Strengthening intersectoral collaboration for adolescent sexual and reproductive health: a community-embedded intervention in Ebonyi state, Nigeria
Bibliographic record
Abstract
BACKGROUND: Adolescent sexual and reproductive health (ASRH) is a critical global health concern, demanding multifaceted approaches for effective intervention. This paper presents a qualitative exploration of an innovative community-embedded intervention aimed at enhancing intersectoral collaboration to improve ASRH outcomes. METHODS: A qualitative study design was employed to explore the types, processes, and factors that enabled or constrained intersectoral collaborations in implementing a community-embedded intervention for ASRH in Ebonyi State, Nigeria. Thirty in-depth interviews and 18 focus group discussions were conducted with policymakers, health service providers, teachers, community gatekeepers, parents, and adolescents. The interview transcripts were coded in NVivo 12. The outputs of the coded transcripts were analyzed using thematic analysis and presented as narratives. RESULTS: Key findings highlight the emergence of three predominant collaboration models: horizontal integration between healthcare and education sectors, horizontal integration across various governmental agencies (formal providers) and non-governmental organizations (informal providers), and diagonal integration bridging gaps between community stakeholders and service providers. The processes underpinning these collaborations emphasize the significance of trust-building, shared goals, and clear communication. The study identifies the pivotal role of champions and intermediaries in facilitating collaboration, along with the necessity for a supportive institutional framework. The enabling factors include robust leadership commitment, dedicated funding mechanisms, and a favorable policy environment. Conversely, challenges stemming from resource constraints, conflicting interests, and organizational silos hindered collaboration efforts. CONCLUSION: This research underscores the potential of community-embedded interventions to strengthen intersectoral collaboration for the acceptability and adoption of ASRH strategies. It offers a valuable resource for policymakers, healthcare professionals, and stakeholders seeking to enhance ASRH outcomes through collaborative efforts.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".