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Record W2130917189 · doi:10.1016/j.ijgo.2015.05.008

“In rape cases we can use this pill”: A multimethods assessment of emergency contraception knowledge, access, and needs on the Thailand − Burma border

2015· article· en· W2130917189 on OpenAlexafffund
Margaret Hobstetter, Cari Sietstra, Meredith Walsh, Jennifer Leigh, Angel M. Foster

Bibliographic record

VenueInternational Journal of Gynecology & Obstetrics · 2015
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsUniversity of Ottawa
FundersOntario Ministry of Health and Long-Term CareFordham UniversityUniversity of Ottawa
KeywordsMisinformationFocus groupReproductive healthEmergency contraceptionPsychological interventionBusinessRefugeeService providerFamily planningPillService (business)MedicinePublic relationsPopulationPolitical scienceNursingEnvironmental healthMarketing

Abstract

fetched live from OpenAlex

OBJECTIVES: To evaluate availability, service delivery, and barriers to access to emergency contraceptive pills (ECPs) along the Thailand-Burma border. METHODS: From June 2010 to May 2011 we undertook a multimethods qualitative assessment among cross-border populations, migrants, and refugees. We conducted 46 key informant interviews with representatives from 25 organizations, 18 focus group discussions with migrant adults, migrant adolescents, and healthcare workers, and a service mapping exercise with 22 stakeholders. RESULTS: We found low use of ECPs among the target populations. Structural barriers and lack of evidence-based reproductive health protocols, education, and information restrict access to the limited family planning resources available in this region. Misinformation about ECPs was widespread among health workers and organizational policies were often non-evidence based. CONCLUSION: Potential policy and program interventions to improve access to ECPs along the Thailand-Burma border include integrating evidence-based practices into community efforts, expanding training opportunities for health workers, and improving communication and coordination among organizations serving populations on both sides of the border.

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)0.001
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.116
GPT teacher head0.455
Teacher spread0.339 · 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

Citations25
Published2015
Admission routes2
Has abstractyes

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