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Record W1996349516 · doi:10.4161/21645515.2014.980708

Parents’ decision-making about the human papillomavirus vaccine for their daughters: II. Qualitative results

2015· article· en· W1996349516 on OpenAlexafffund
Andrea Krawczyk, Samara Perez, Leonora King, Maryline Vivion, Ève Dubé, Zeev Rosberger

Bibliographic record

VenueHuman Vaccines & Immunotherapeutics · 2015
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsMcGill UniversityJewish General Hospital
FundersCanadian Institutes of Health Research
KeywordsDaughterContext (archaeology)VaccinationPsychologyHuman papillomavirusFamily medicineHealth communicationQualitative researchMedicineSocial psychologyImmunologyCommunication

Abstract

fetched live from OpenAlex

The goal of the study was to examine the reasons given by parents who accepted or refused the HPV vaccine for their daughters in the context of a free provincial school-based vaccination program. A random sample of parents of 9-10 y old girls completed a mail-in questionnaire. Parents' responses to 2 open-ended questions were assessed using content analysis. Coding themes were derived from the Health Belief Model. 806 parents returned and answered the relevant items. 88% of these parents decided to vaccinate their daughter. The primary reasons for parents' acceptance was the perceived benefits (e.g., health protection, cancer/HPV prevention) and cues to action (e.g., physician recommendation, trusting the school vaccine program). Reasons for parental refusal included barriers (e.g., fear of side effects) and low susceptibility (e.g., their daughter is not at risk). Both groups of parents had unanswered questions, doubts and often inaccurate information. This study provides unique insight into parents' perspectives concerning the decision making process for their daughter. There appears to be a need for accurate and complete information to assure informed HPV vaccine decision-making by parents and to increase HPV vaccine uptake.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.647
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.172
GPT teacher head0.463
Teacher spread0.291 · 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 designNot applicable
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

Citations110
Published2015
Admission routes2
Has abstractyes

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