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Record W4226271970 · doi:10.2196/preprints.36060

Impact-Oriented Dialogue for Culturally Safe Adolescent Sexual and Reproductive Health in Bauchi State, Nigeria: Protocol for a Codesigned Pragmatic Cluster Randomized Controlled Trial (Preprint)

2021· preprint· en· W4226271970 on OpenAlexaboutno aff
Anne Cockcroft, Khalid Omer, Yagana Gidado, Rilwanu Mohammed, Loubna Belaid, Umaira Ansari, Claudia Mitchell, Neil Andersson

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldComputer Science
TopicCognitive Science and Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsReproductive healthFocus groupChild marriageStakeholderPopulationCluster randomised controlled trialAdolescent healthMedicineSexual violencePsychologyNursingFamily medicineGeographyEnvironmental healthPublic relationsBusinessPolitical scienceIntervention (counseling)

Abstract

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<sec> <title>BACKGROUND</title> Adolescents (10-19 years) are a big segment of the Nigerian population, and they face serious risks to their health and well-being. Maternal mortality is very high in Nigeria, and rates of pregnancy and maternal deaths are high among female adolescents. Rates of HIV infection are rising among adolescents, gender violence and sexual abuse are common, and knowledge about sexual and reproductive health risks is low. Adolescent sexual and reproductive health (ASRH) indicators are worse in the north of the country. </sec> <sec> <title>OBJECTIVE</title> In Bauchi State, northern Nigeria, the project will document the nature and extent of ASRH outcomes and risks, discuss the findings and codesign solutions with local stakeholders, and measure the short-term impact of the discussions and proposed solutions. </sec> <sec> <title>METHODS</title> The participatory research project is a sequential mixed-methods codesign of a pragmatic cluster randomized controlled trial. Focus groups of local stakeholders (female and male adolescents, parents, traditional and religious leaders, service providers, and planners) will identify local priority ASRH concerns. The same stakeholder groups will map their knowledge of factors causing these concerns using the fuzzy cognitive mapping (FCM) technique. Findings from the maps and a scoping review will inform the contextualization of survey instruments to collect information about ASRH from female and male adolescents and parents in households and from local service providers. The survey will take place in 60 Bauchi communities. Adolescents will cocreate materials to share the findings from the maps and survey. In 30 communities, randomly allocated, the project will engage adolescents and other stakeholders in households, communities, and services to discuss the evidence and to design and implement culturally acceptable actions to improve ASRH. A follow-up survey in communities with and without the intervention will measure the short-term impact of these discussions and actions. We will also evaluate the intervention process and use narrative techniques to assess its impact qualitatively. </sec> <sec> <title>RESULTS</title> Focus groups to explore ASRH concerns of stakeholders began in October 2021. Baseline data collection in the household survey is expected to take place in mid-2022. The study was approved by the Bauchi State Health Research Ethics Committee, approval number NREC/03/11/19B/2021/03 (March 1, 2021), and by the Faculty of Medicine and Health Sciences Institutional Review Board McGill University (September 13, 2021). </sec> <sec> <title>CONCLUSIONS</title> Evidence about factors related to ASRH outcomes in Nigeria and implementation and testing of a dialogic intervention to improve these outcomes will fill a gap in the literature. The project will document and test the effectiveness of a participatory approach to ASRH intervention research. </sec> <sec> <title>CLINICALTRIAL</title> ISRCTN Registry ISRCTN18295275; https://www.isrctn.com/ISRCTN18295275 </sec> <sec> <title>INTERNATIONAL REGISTERED REPORT</title> DERR1-10.2196/36060 </sec>

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: none
Teacher disagreement score0.474
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.027
GPT teacher head0.348
Teacher spread0.321 · 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 teacher head, not a consensus.

Study designRandomized trial
Domainnot available
GenreProtocol

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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