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Record W3107140086 · doi:10.1080/13625187.2020.1850675

Factors associated with knowledge and use of the emergency contraceptive pill among ever-married women of reproductive age in Bangladesh: findings from a nationwide cross-sectional survey

2020· article· en· W3107140086 on OpenAlex
Md. Sabbir Ahmed, Fakir Md Yunus

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe European Journal of Contraception & Reproductive Health Care · 2020
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMedicinePillSpouseResidenceDemographyCross-sectional studyMarital statusReproductive healthFamily planningPopulationEmergency contraceptionRural areaEnvironmental healthResearch methodologyNursing

Abstract

fetched live from OpenAlex

OBJECTIVES: The study aimed to assess the prevalence and factors associated with knowledge and use of the emergency contraceptive pill (ECP) among ever-married women in Bangladesh. METHODS: The study was based on a secondary dataset of the 2014 Bangladesh Demographic and Health Survey. Complete (weighted) data of 17,592 women aged 15-49 years were analysed. RESULTS: The prevalence of having knowledge and use of the ECP among ever-married women in Bangladesh was 13.6% and 1.8%, respectively. Administrative region and type of residence (urban or rural), household wealth index, educational level (of both the woman and her spouse), spouse's occupation, number of living children, weight, current use of contraception and a history of pregnancy termination were positively associated with knowledge and use of the ECP. CONCLUSION: A large proportion of Bangladeshi women of reproductive age had a lack of knowledge and use of the ECP. Nationwide reproductive health education programmes may improve the situation.

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.

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)0.006
metaresearch head score (Gemma)0.010
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 score0.060
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.077
GPT teacher head0.317
Teacher spread0.240 · 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