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Prevalence-based Health and Economic Model of the Bivalent Versus the Quadrivalent Human Papillomavirus (HPV) Vaccine

Additional Health and Economic Impact of the Bivalent Versus the Quadrivalent HPV Vaccine in Taiwan: Results of a Prevalence-based Model

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT01702337
Enrollment
1
Registered
2012-10-08
Start date
2010-02-28
Completion date
2010-02-28
Last updated
2012-10-08

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Human Papillomavirus Infection

Keywords

Gardasil, Prevalence-model, Cervarix, economic, health

Brief summary

This study compares the health and economic impact of the bivalent HPV vaccine (HPV-1) and the quadrivalent HPV vaccine (HPV-2).

Detailed description

This study uses a prevalence-based model (by using efficacy data from each vaccine's respective trials and published cost data for Taiwan) which estimates the differences in lesions, genital warts, cervical cancer and costs from a healthcare payer's perspective prevented between HPV-1 and HPV-2 vaccines during one year (when all women are vaccinated). It also analyses costs from a societal perspective.

Interventions

OTHERPrevalence-based model

Static prevalence-based model to estimate vaccine effect over a one-year period at a steady state (when all women are fully vaccinated).

Sponsors

GlaxoSmithKline
Lead SponsorINDUSTRY

Eligibility

Sex/Gender
FEMALE
Healthy volunteers
Yes

Inclusion criteria

* Female subjects vaccinated with either HPV-1 or HPV-2 vaccines in Taiwan (hypothetical group).

Exclusion criteria

* Not applicable.

Design outcomes

Primary

MeasureTime frame
Annual number of lesions prevented by each vaccineOver a one-year period
Lesion related total cost averted by each vaccineOver a one-year period
Additional costs averted by HPV-1 vaccine compared to HPV-2 vaccineOver a one-year period

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026