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Record W7084228312

Bridging Participation Gaps: A Community-Led Inception for Integrating Comprehensive Adolescent-Friendly Family Planning and Post-Abortion Care (CAFFP–PAC) into Primary Healthcare Facilities in Northern Uganda

2025· article· en· W7084228312 on OpenAlexaboutno aff

Bibliographic record

VenueDove Medical Press (Taylor and Francis Group) · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLiraThematic analysisCitizen journalismHealth careConfidentialityQualitative researchParticipatory action researchPsychological intervention
DOInot available

Abstract

fetched live from OpenAlex

Eustes Kigongo,1 Emmanuel Ekungu,2 Acheka Edmonton,3 Anna Grace Auma,2 Morris Chris Ongom,4 Udho Samson,5 Maxson Kenneth Anyolitho,6 Amir Kabunga,7 Odette Murara,8 Judith Abal Akello,9 Bernard Omech10 1Department of Environment Health and Disease Control, Lira University, Lira, Uganda; 2Department of Nursing, Lira University, Lira, Uganda; 3District Health, Lira, Uganda; 4GLOFORD_UGANDA, Lira, Uganda; 5Department of Midwifery, Lira University, Lira, Uganda; 6Department of Community Health, Lira University, Lira, Uganda; 7Department of Psychiatry, Lira University, Lira, Uganda; 8Faculty of Social Work, University of Calgary, Calgary, Canada; 9Department of Commerce and Business Management, Lira University, Lira, Uganda; 10Coordinator for Centre for SET-SRHR Lira University, Lira, UgandaCorrespondence: Amir Kabunga, Email amirkabs2017@gmail.comBackground: Conventional top-down health interventions often exclude adolescents and community stakeholders from service design and implementation, resulting in low uptake and a mismatch with young people’s needs. The CAFFP–PAC initiative in Northern Uganda sought to explore how a community-led, adolescent-centered inception process could support integration of adolescent-friendly family planning and post-abortion care into primary healthcare services.Methods: A participatory qualitative design was employed during an inception meeting in Lira City on April 1, 2025, guided by principles of community-based participatory research and citizen science. A total of 110 purposively selected stakeholders including adolescents, youth mentors, parents, educators, health professionals, and cultural and religious leaders engaged in dialogue circles, breakout sessions, simulations, and visual storytelling to co-develop integration strategies. Data were collected through audio recordings, field notes, and participatory tools, and analyzed using Braun and Clarke’s thematic analysis framework.Results: Six themes emerged: (1) meaningful participation of adolescents and stakeholders; (2) adolescent-friendly and confidential service environments; (3) health system readiness and provider attitudes; (4) addressing socio-cultural and gender norms; (5) integration strategies for CAFFP–PAC in primary care; and (6) sustained engagement and feedback mechanisms. Adolescents emphasized safe, private, and respectful care environments, while stakeholders stressed community ownership, trust-building, and reliance on local structures. Youth mentors, cultural leaders, and school clubs were identified as key enablers for service uptake.Conclusion: A community-led inception process centered on adolescents and local voices is feasible and essential for successful CAFFP–PAC integration in Northern Uganda. Findings highlight the need to shift from provider-centered models to inclusive, participatory approaches that leverage community assets, foster adolescent agency, and ensure sustained engagement. Such approaches are vital for enhancing service accessibility, responsiveness, and sustainability in resource-constrained settings.Keywords: adolescents, family planning, post-abortion care, community participation, reproductive health, citizen science, gender norms, primary healthcare integration

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 imitation

Not 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.

metaresearch head score (Codex)0.021
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0090.003
Scholarly communication0.0040.004
Open science0.0050.026
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.000

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.

Opus teacher head0.045
GPT teacher head0.282
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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