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Sustainability of gains made in a primary school HIV prevention programme in Kenya into the secondary school years

2009· article· en· W2060184239 on OpenAlexafffund
Eleanor Maticka‐Tyndale

Bibliographic record

VenueJournal of Adolescence · 2009
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsUniversity of Windsor
FundersMinistry of Education, IndiaMinistry of Earth SciencesU.S. President’s Emergency Plan for AIDS ReliefDepartment for International Development, UK GovernmentUniversity of WindsorUnited States Agency for International Development
KeywordsKenyaPsychologyCondomPrimary educationReproductive healthMultivariate analysisHuman immunodeficiency virus (HIV)Public healthSecondary educationMedical educationFamily medicineDemographyMedicineEnvironmental healthPopulationPedagogyNursingSociologyPolitical science

Abstract

fetched live from OpenAlex

The question addressed in this paper is whether the beneficial effects of Primary School Action for Better Health (PSABH), an HIV prevention programme delivered in Kenyan primary schools, continue once students move on to secondary schools. Questionnaires were completed in December 2005 and January 2006 by all form 1-3 students in 154 randomly selected secondary schools. Students who had attended primary schools with PSABH programming were compared to those who did not on knowledge, attitudes and behaviours using multivariate regression with controls for gender, school year, religion and financial resources. Students who attended PSABH primary schools were significantly more likely to have higher levels of knowledge and attitudes that were more supportive of sexual restraint, condom use and HIV testing. They were more likely to have used several safer sex practices and to have been tested for HIV. The effects were strongest in the first year of secondary school and decreased thereafter. PSABH continues to have a beneficial effect for students who continue to secondary school.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
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 head0.044
GPT teacher head0.405
Teacher spread0.361 · 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 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".

Quick stats

Citations24
Published2009
Admission routes2
Has abstractyes

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