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Record W2793100336 · doi:10.3747/co.25.3915

Self-Collection for Under-Screened Women in a National Cervical Screening Program: Pilot Study

2018· article· en· W2793100336 on OpenAlexvenueno aff
Marion Saville, David Hawkes, Elspeth M. McLachlan, S. Anderson, Kerry Arabena

Bibliographic record

VenueCurrent Oncology · 2018
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsnot available
FundersState Government of VictoriaU.S. Department of Health and Human Services
KeywordsMedicineCervical screeningFamily medicineCervical cancerHuman papillomavirusGynecologyData collectionSample (material)Cervical cancer screeningObstetricsInternal medicineCancer

Abstract

fetched live from OpenAlex

BACKGROUND: Commencing 1 December 2017, Australia introduced human papillomavirus (hpv)-based cervical screening. As part of this Australian renewed National Cervical Screening Program (ncsp) women who are either never- or under-screened and who refuse a practitioner collected sample will be able to collect their own sample for cervical screening. The aim of this study is to examine the quantitative results of a pilot study into the acceptability of the self-collection alternative pathway. METHODS: Eligible participants were offered the opportunity to collect their own sample. Those who agreed were given a flocked swab and an instruction sheet and took their own sample in an area of the health care clinic that afforded them adequate privacy. These samples were then given to clinic staff who returned them to Victorian Cytology Service (vcs) Pathology for hpv nucleic acid testing. RESULTS: Of 98 eligible women, seventy-nine undertook self-collection for hpv-based cervical screening. Seventy-seven produced valid results, 14 were positive for oncogenic hpv, with 10 undertaking follow-up. Three women were found to have cervical squamous abnormalities with two of those being high-grade intraepithelial squamous lesions. CONCLUSION: The pilot study for self-collection for cervical screening produced quantitative data that were similar to that already reported in the literature, but had a much higher rate of acceptance compared with self-collection programs based in the home.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.756
Threshold uncertainty score0.917

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.297
GPT teacher head0.516
Teacher spread0.218 · 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.

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".

Quick stats

Citations59
Published2018
Admission routes1
Has abstractyes

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