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Record W4395031247 · doi:10.1016/j.jvacx.2024.100492

Case-finding for HPV vaccination eligibility within a dental office with concurrent development of a dialogue tool

2024· article· en· W4395031247 on OpenAlexafffundabout
Cheryl E. Cable, Kaitlyn E. Watson, Ross T. Tsuyuki

Bibliographic record

VenueVaccine X · 2024
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsUniversity of Alberta
FundersFaculty of Medicine and Dentistry, University of AlbertaMerck CanadaUniversity of Alberta
KeywordsVaccinationMedicineComputer scienceFamily medicineVirology

Abstract

fetched live from OpenAlex

Background: Human papillomavirus (HPV) immunization can prevent cancers, but uptake has been incomplete (and worse with the COVID-19 pandemic). Dental clinicians already screen for oral cancers, many of which are caused by HPV, and could identify vaccination candidates, but this requires a case-finding strategy. Objective: The purpose of this study was (1) to develop and test a case-finding approach to identify patients who were candidates for HPV vaccinations, (2) to test an HPV vaccination intervention by dental professionals on vaccination uptake. Methods: Design: Prospective, non-randomized feasibility case finding study with a 4-week enrollment period and a 6 week follow up period in general dental offices.Setting: Two general and non-commercial dentistry offices in Edmonton, Alberta Canada.Subjects: Consecutive scheduled (non-emergent) patients who met the Health Canada criteria for HPV vaccination: immunocompetent males and females aged 9-45 years and those who are immunocompromised. Consent for the discussion was obtained from each subject or parent.Intervention: Scheduled dental patients meeting the inclusion criteria were flagged by a research assistant who reviewed the appointment schedule each week for 4 weeks. For these subjects, dental clinicians (dentists and dental hygienists) used our Dental Dialogue Tool to discuss HPV vaccination and answer questions. Participating patients who consented to receive the HPV vaccine were given a prescription by the attending dentist and were directed to follow-up with a local pharmacy to have the vaccine administered. Each participant that was provided with an HPV prescription was contacted after 6 weeks to identify if they received the first dose of vaccine.Outcomes: Yield of our case-finding strategy and receipt of a patient's first HPV vaccine dose during 6 weeks post vaccine prescription. Results: Our case-finding strategy assessed 656 scheduled patients over 4 weeks. From this screening,179 (a case-finding yield of 20.4 %), were candidates for HPV vaccine discussion. Forty-three of these 179 patients (24 %) were already vaccinated.. Two patients (1.1 %) did not consent to be spoken with and 134 (74.8 %) consented to the HPV vaccine discussion.. Forty-eight of 134 patients (35.8 %) of patients accepted a prescription from the dentist after speaking with the dental clinician. Ultimately, 8/48 (16 %) (patients received their first dose of the HPV vaccine by the 6 week of follow-up call. However, this is only 4.5 % (8/177) of those patients who did consent for the discussion of HPV cancers and vaccination from their dentist. Conclusion: We demonstrated that case-finding for HPV vaccine candidates in general dental offices was feasible, with a reasonable yield. While the dental dialogue tool was described as a great resource to explain the facts and answer questions, very few patients were vaccinated after 6 weeks of follow-up. Further work is necessary to sharpen the intervention, perhaps including follow-up discussions with the dental clinicians.

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)0.000
metaresearch head score (Gemma)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.955
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.061
GPT teacher head0.387
Teacher spread0.326 · 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 designOther design
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

Citations2
Published2024
Admission routes3
Has abstractyes

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