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Record W1994992598 · doi:10.1080/07399330701563061

Attitudes Toward HPV Testing: Interview Findings From a Random Sample of Women in Ontario, Canada

2007· article· en· W1994992598 on OpenAlexaffabout
Laura Brown, Paul Ritvo, Roberta I. Howlett, Michelle Cotterchio, A. Matthew, Barry P. Rosen, J. Murphy, V. Mai

Bibliographic record

VenueHealth Care For Women International · 2007
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health NetworkCancer Care OntarioYork University
Fundersnot available
KeywordsMedicineColposcopyGynecologyObstetricsTelephone interviewClinical psychologyHuman papilloma virusFamily medicineInternal medicineCervical cancerCancer

Abstract

fetched live from OpenAlex

As most women diagnosed with cervical carcinoma have been "inadequately screened," improvements in screening are critical. After abnormal Pap test findings (through liquid-based cytology), residual specimens now can be tested simultaneously for oncogenic types of Human Papilloma virus (HPV). If these "reflex" HPV tests are negative, Pap tests need not be repeated for 12 months. Women with positive oncogenic HPV tests, however, can be referred immediately for colposcopy. There has been concern that "stigma" issues could be associated with positive HPV status (because of its sexual transmission) that might cause women to avoid this reflex HPV testing. We addressed this concern by assessing whether stigma issues surface in relation to HPV testing. We randomly selected 20 women and administered to them semistructured telephone interviews that included responses to a scenario of reflex HPV-DNA testing. Interview transcripts were analyzed qualitatively. Highly limited knowledge levels were found about HPV, but, following education about screening options, there was no rejection of HPV testing. In conclusion, it appears that women favor reflex HPV testing due to its "convenience" and perceptions that it is "the least intrusive option more definitive than Pap testing."

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.068
GPT teacher head0.374
Teacher spread0.306 · 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

Citations16
Published2007
Admission routes2
Has abstractyes

Explore more

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