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Asian Pacific Journal of Cancer Prevention : APJCP logoLink to Asian Pacific Journal of Cancer Prevention : APJCP
. 2019;20(5):1377–1387. doi: 10.31557/APJCP.2019.20.5.1377

Cost-Effectiveness Analysis of Human Papillomavirus Vaccination in Adolescent Girls in Taiwan

Chao-Hsiun Tang 1,2, Wen Fang Cheng 2,3,4,2, Jhih-Hua Jiang 1, San Lin You 5, Lee-Wen Huang 6, Jui-Yu Hsieh 7, Piyali Mukherjee 8, Georges Van Kriekinge 9, Christa Lee 8,*
PMCID: PMC6857899  PMID: 31127896

Abstract

Objective:

Three vaccines are available to Taiwanese young girls for cervical cancer (CC) prevention. Here we evaluate the cost-effectiveness of the two-dose (2D) AS04-adjuvanted HPV-16/18 vaccine (2D-AS04-HPV-16/18v)+screening compared with a screening programme alone, with 2D human papillomavirus 6/11/16/18 vaccine (2D-4vHPVv)+screening, and with 2D/three-dose (3D) human papillomavirus 6/11/16/18/31/33/45/52/58 vaccine (9vHPVv)+screening, for Taiwan universal mass vaccination.

Methods:

A static Markov cohort model simulated the natural history of human papillomavirus (HPV) infection and CC screening for a 12-year-old cohort of Taiwanese girls (N=120,000). The model ran in 1-year cycles over the cohort’s lifetime. Vaccine efficacy irrespective of HPV type was considered in the analysis for each vaccine. Input data were obtained from published literature, local databases, government reports and websites, and expert opinion. The analysis incorporated direct medical costs only, with an annual discount rate of 3.0%. The threshold was determined as 1 Gross Domestic Product per capita (New Taiwan dollar [NT$] 727,818; year 2016).

Results:

The 2D-AS04-HPV-16/18v+screening yielded 0.0365 quality-adjusted life year (QALY) gained at an additional cost of NT$ 5,770 per person compared with the screening programme alone. This resulted in an incremental cost-effectiveness ratio well below the threshold. Compared with 2D-4vHPVv+screening and 2D/3D-9vHPVv+screening, discounted results demonstrated additional QALYs gained at lower cost for 2D-AS04-HPV-16/18v+screening, making it dominant over both 2D-4vHPVv+screening and 2D/3D-9vHPVv+screening.

Conclusions:

Vaccinating Taiwanese girls with 2D-AS04-HPV-16/18v in addition to screening to prevent CC is cost-effective compared with using a screening programme alone and the dominant option compared with 2D-4vHPVv+screening and 2D/3D-9vHPVv+screening.

Keywords: HPV vaccination, cervical cancer, cost, effectiveness, Taiwan

Introduction

Cervical cancer (CC) had a high incidence in Taiwan, accounting for more than 30% of all cancer cases and being the third most common cause of cancer death among Taiwanese women in the 1990s (Wang and Lin, 1996). In 1995, a nationwide annual Papanicolaou (Pap) screening programme was put in place, allowing the detection of cervical abnormalities at an earlier stage and the timely provision of treatment. Thanks to this programme, incidence and mortality rates decreased by 46% and 47% in 2006 and 2007, respectively (Lee et al., 2012). However, compliance with cervical screening has remained sub-optimal in Taiwan, with the annual screening coverage in 2007 and 2014 reported at 27.4% and 27.6% respectively (Bureau of Health Promotion, 2007; Health Promotion Administration - Ministry of Health and Welfare - Taiwan, 2014).

Human papillomavirus (HPV) is the necessary cause of CC, detected in >95% of CC cases (Muñoz et al., 2003; Walboomers et al., 1999). Persistent infections with oncogenic HPV strains (most frequently HPV-16 and HPV-18) may lead to the development of pre-cancerous cervical intraepithelial neoplasia (CIN) grade 1 which over time may progress to grade 2 CIN (CIN2), grade 3 CIN (CIN3) and CC (Castellsague, 2008; Demarteau et al., 2012; Köse and Naki, 2014). On the other hand, non-oncogenic HPV types have been associated with low-grade cervical lesions and genital warts (GW) (Demarteau et al., 2012). Given the sub-optimal CC screening coverage in Taiwan and HPV infection being the necessary cause of CC, the risk of CC can be substantially reduced through a combination of HPV vaccination and CC screening programmes (Demarteau et al., 2012; Paavonen et al., 2009). The World Health Organization (WHO) recognises the importance of CC as a global public health problem and recommends HPV vaccines are included in national immunisation programmes (World Health Organization, 2017). Vaccination programmes have an important impact at the population level, as there is evidence of a consequent reduction in high-grade cervical abnormalities and in prevalence of oncogenic HPV types among young women (Cameron et al., 2017; Gertig et al., 2013; Kavanagh et al., 2017; Powell et al., 2012; Tabrizi et al., 2014; World Health Organization, 2017).

There are three HPV vaccines currently available in Taiwan, protecting Taiwanese young girls against CC: a two-dose (2D) AS04-adjuvanted HPV-16/18 vaccine (AS04-HPV-16/18v, Cervarix, GSK, Belgium) containing virus-like particles (VLPs) for oncogenic HPV types 16 and 18, a 2D human papillomavirus 6/11/16/18 vaccine (4vHPVv, Gardasil, Merck, USA) containing two additional VLPs for non-oncogenic HPV types 6 and 11, and a 2D/three-dose (3D) human papillomavirus 6/11/16/18/31/33/45/52/58 vaccine (9vHPVv, Gardasil 9, Merck, USA) containing VLPs for five additional oncogenic HPV types.

Cost-effectiveness of HPV vaccines has been previously explored in the Taiwanese context, comparing vaccination +screening versus screening alone and AS04-HPV-16/18v versus 4vHPVv, in combination with screening (Dasbach et al., 2008; Demarteau et al., 2012; Liu et al., 2010; Rogoza et al., 2008; Suárez et al., 2008). The studies demonstrated that both AS04-HPV-16/18v and 4vHPVv, in combination with screening, are cost-effective compared with screening alone (Dasbach et al., 2008; Liu et al., 2010; Rogoza et al., 2008; Suárez et al., 2008). When the two vaccines were compared, AS04-HPV-16/18v resulted in better health outcomes at lower cost than 4vHPVv, in combination with screening (Demarteau et al., 2012). However, the studies were based on a 3-dose (3D) schedule for both vaccines. Since the introduction of the 2D schedules for AS04-HPV-16/18v and 4vHPVv in 2015 and the newly-approved 9vHPVv with 2D and 3D schedules in Taiwan (2016/2017), no published study has reported the relative cost-effectiveness of these vaccines in the Taiwanese context.

The objective of this study is to assess the cost-effectiveness of vaccination with 2D-AS04-HPV-16/18v combined with screening, compared with: (i) screening alone; (ii) 2D-4vHPVv combined with screening; (iii) 2D-9vHPVv combined with screening; (iv) 3D-9vHPVv combined with screening.

Materials and Methods

Model overview

The analysis used a previously published Markov cohort model reflecting the natural history of oncogenic HPV infection to invasive CC and of non-oncogenic HPV infection to GW and/or CIN1, where fixed annual transition probabilities determine cohort movement between health states (Demarteau et al., 2012; Suárez et al., 2008).

In the current analysis, two additional comparators were incorporated into the model: 2D-9vHPVv and 3D-9vHPVv combined with screening.

Study population

Based on demographic data from Taiwan, the model included a cohort (N=120,000) of girls aged 12 years old (i.e. 7th grade) (Department of Household Registration - M.O.I., 2016). This age group of girls was targeted because they are representative of the female population prior to HPV exposure and thus are expected to benefit most from the vaccination. They are also the targeted group in many parts of the world with existing school-based vaccination programmes.

Cycle time and time horizon

The model was run for 95 years in 1-year cycles to cover the total lifetime of the cohort (i.e., until 107 years of age). Annual transition probabilities determined how the cohort moves from one health state to the next in every cycle.

Perspective

The analysis was undertaken from the perspective of the Taiwanese government. Therefore, only direct medical costs were included in the model.

Discounting

In accordance with the Taiwanese pharmacoeconomic recommendations and local expert opinion, a discount rate of 3.0% was applied to both costs and health outcomes in the base-case analysis (Center for Drug Evaluation, 2014; International Society for Pharmacoeconomics and Outcome Research, 2006). In univariate sensitivity analysis, a range of 0.0 – 5.0% and 0.0 – 3.0% was explored for costs and health outcomes, respectively.

Threshold

Based on the WHO guidelines and local expert opinion, 1 Gross Domestic Product (GDP) per capita was deemed an appropriate threshold to assess cost-effectiveness in Taiwan (Bertram et al., 2016). Therefore, the willingness-to-pay (WTP) threshold was established at 727,818 New Taiwan dollar (NT$) per quality-adjusted life year (QALY) gained based on the published 2016 GDP per capita in Taiwan (Directorate General of Budget - Accounting and Statistics - Executive Yuan - R.O.C. (Taiwan), 2017).

Data input and assumptions

Model inputs were derived from local data where possible, and consulted and validated by local experts.

Vaccine effectiveness

The model used vaccine efficacy estimates irrespective of HPV type as proxies of vaccine effectiveness (Table 1). The efficacy estimates were based on product label in Taiwan as well as clinical trial data for girls and women who were “naïve” to HPV infection at study entry.

Table 1.

Vaccine Effectiveness in HPV-Naive Population Estimated Based on Vaccine Efficacy Irrespective of HPV Type

Endpoint in the model AS04-HPV-16/18v 4vHPVv 9vHPVv
CC (proxy for CIN3/CIN3+) 93.2% (Lehtinen et al., 2012) 43.0% (Munoz et al., 2010) 79.6% (Joura et al., 2014; Merck Sharp & Dohme Corp., 2015)
CIN2/3 (proxy for CIN2/CIN2+) 64.9% (Lehtinen et al., 2012) 42.7% (Munoz et al., 2010) 62.8% (Merck Sharp & Dohme Corp., 2015)
CIN1 (proxy for CIN1/CIN1+ or “any grade”) 50.3% (Lehtinen et al., 2012) 29.7% (Munoz et al., 2010) 47.1% (Merck Sharp & Dohme Corp., 2015)
GW 0.0% (GSK Taiwan, 2016) 82.8% (Munoz et al., 2010) 94.6% (Giuliano et al., 2014)

4vHPVv, human papillomavirus 6/11/16/18 vaccine; 9vHPVv, human papillomavirus 6/11/16/18/31/33/45/52/58 vaccine; AS04-HPV-16/18v, AS04-adjuvanted HPV-16/18 vaccine; CC, cervical cancer; CIN1/2/3 (+), cervical intraepithelial neoplasia grade 1/2/3 (or higher); GW, genital warts

However, data required to estimate 9vHPVv vaccine effectiveness against CC (i.e. vaccine efficacy against CIN3 or higher [CIN3+]) were limited. Therefore, this parameter was projected based on available data from Joura et al. (2014) and the clinical trial synopsis of 9vHPVv (Merck Sharp and Dohme Corp., 2015). Joura et al. (2014) estimated an expected vaccine efficacy with 9vHPV to be 43-55%, 70-78% and 85-91% against CIN1, CIN2 and CIN3, respectively. To estimate the potentially observable vaccine efficacy against CIN3/CIN3+, the expected vaccine efficacy estimates for CIN1 and CIN2 were compared with their observed efficacy estimates from the clinical trial and an average ratio of 90.5% between the observed versus expected efficacies was calculated. This average ratio was applied to the average expected efficacy of 88.0% for 9vHPVv against CIN3 (Merck Sharp and Dohme Corp., 2015), leading to an adjusted vaccine efficacy of 79.6% for 9vHPVv against CIN3/CIN3+.

Moreover, the proxy effectiveness against GW was assumed in the base-case to be 0.0% for AS04-HPV-16/18v according to its label in Taiwan (GSK Taiwan, 2016). For 4vHPVv and 9vHPVv, vaccine effectiveness irrespective of the causative HPV type against GW was estimated at 82.8% and 94.6%, respectively (Giuliano et al., 2014; Munoz et al., 2010). Vaccine effectiveness was assumed to be life-long in the base-case analysis.

Further details about calculation of vaccine effectiveness are provided in Supplementary Material 1.

Transition probabilities

Transition probabilities used in the model reflect the natural history of the disease. These data were mainly taken from previous Taiwan HPV cost-effectiveness analyses (Demarteau et al., 2012; Suárez et al., 2008) where the following data have been updated with local or more recent available data: progression from non-oncogenic HPV to CIN1 or GW, from persistent CIN2/3 to CC and from CC to death, regression from CC to no HPV and GW resistance (Health Promotion Administration - Ministry of Health and Welfare - Taiwan; Ministry of Health and Welfare - Taiwan, 2013; Sanders and Taira, 2003; Shen et al., 2016; Van de Velde et al., 2007; Woodhall et al., 2011) (Supplementary Material 2).

Epidemiological data

The epidemiological data incorporated into the model derived from different published sources: CC incidence and mortality from Cancer Registry Interactive System (Health Promotion Administration - Ministry of Health and Welfare - Taiwan) (Table 2); GW incidence from the National Health Insurance Research Database (NHID) (Table 2); HPV prevalence mainly from the published literature (Chao et al., 2008; Chen et al., 2011; Richardson et al., 2003) (personal communication) (Table S 3 in Supplementary Material 3); all-cause mortality probabilities in the general female population from the Ministry of the Interior - Department of Statistics (Table S 4 in Supplementary Material 3); and distribution of CC incidence by stage from the Taiwan Cancer Registry Center (2014) (Table S 5 in Supplementary Material 3). Further details on the epidemiological data are provided in Supplementary Material 3.

Table 2.

Age-Specific CC Incidence/Mortality and GW Incidence Per 100,000 Women in Taiwan

Age-groups (years of age) CC incidence (/100,000 women) (Health Promotion Administration - Ministry of Health and Welfare - Taiwan) CC mortality (/100,000 women) (Health Promotion Administration - Ministry of Health and Welfare - Taiwan) GW incidence (/100,000 women) (Ministry of Health and Welfare - Taiwan, 2013)
<15 NA NA 2.66
15-19 0.17 0.00 39.85
20-24 0.65 0.00 98.30
25-29 2.45 0.51 75.92
30-34 5.18 0.41 53.96
35-39 8.78 0.80 33.80
40-44 12.23 2.09 24.47
45-49 15.20 4.31 15.84
50-54 22.24 6.78 14.73
55-59 22.90 6.87 10.91
60-64 23.60 9.25 11.24
65-69 22.99 9.95 10.13
70-74 27.23 17.35 9.60
75-79 33.19 21.24 5.09
80-84 38.38 37.89 5.87
≥85 38.81 47.17 12.79

CC, cervical cancer; GW, genital warts; NA: not applicable

Vaccination, treatment and screening practices

The majority of the model inputs reflecting screening, vaccination and treatment practices is specific to Taiwan and was derived from the literature and government reports/websites, and based on local expert opinion (Supplementary Material 4).

Cost data

Cost data incorporated in the model were mostly derived from patient registries and database analyses (Table 3 and Supplementary Material 5). Private market prices were used for all vaccines, assuming price parity for AS04-HPV-16/18v and 4vHPVv. Cost estimates were inflated to year 2016 by using the medical care services Consumer Price Index (CPI) in Taiwan (National Statistics - Republic of China (Taiwan), 2018).

Table 3.

Cost-Per-Case Estimates Used in the Base-Case Analysis

Parameter Cost per case (NT$) References
Treatment costs
 Treatment cost of CCa,b 594,130 Taiwan Cancer Registry (Department of Statistics - Ministry of Health and Welfare - Taiwan); NHID (Ministry of Health and Welfare - Taiwan, 2013) Data examined: 01-Jan-2008 to 31-Dec-2015
 Treatment cost of CIN2/3b,c 11,245 Biopsy dataset (Pap Smear Task Force), NHID (Ministry of Health and Welfare - Taiwan, 2013) Data examined: 1-Jan-2011 to 31-Dec-2013
 Follow-up treatment cost for CIN2/3d,e 2,266 National Health Insurance Administration - Ministry of Health and Welfare - Taiwan (2016)
 Treatment cost of CIN1b,c 2,962 Biopsy datasets (Pap Smear Task Force), Pap smear test datasets (Pap Smear Task Force), NHID (Ministry of Health and Welfare - Taiwan, 2013) Data examined: 1-Jan-2011 to 31-Dec-2013
 Follow-up treatment cost for CIN1d,e 1,511 National Health Insurance Administration - Ministry of Health and Welfare - Taiwan (2016)
 Treatment cost of GWb,c 6,170 NHID (Ministry of Health and Welfare - Taiwan, 2013) Data examined: 1-Jan-2011 to 31-Dec-2013
Cost of regular Pap screening
 Woman with negative Pap smearf 430 National Health Insurance Administration - Ministry of Health and Welfare - Taiwan (2016)
 Woman with positive Pap smearf 2,966 National Health Insurance Administration - Ministry of Health and Welfare - Taiwan (2016)
Vaccination costs (per dose)g
 AS04-HPV-16/18v 3,600 Centers for Disease Control - Taiwan (2016)
 4vHPVv 3,600 Centers for Disease Control - Taiwan (2016)
 9vHPVv 5,100 Centers for Disease Control - Taiwan (2016)
a

, Average annual treatment cost (NT$ 160,009) was estimated based on the average 5-year treatment cost of CC (NT$ 594,130), which was then divided by the average duration (years) of CC estimated in the model;

b

, Including all costs associated with inpatient and outpatient claims;

c

, Incurred within a year of diagnosis;

d

, Incurred within a year following detection and treatment;

e

, Including consultation and screening costs;

f

, Including Pap smear sampling/pelvic cavity examination and cervical cytopathological examination;

g

, Including the vaccine costs (private market prices to consumers; assumed price parity between AS04-HPV-16/18v and 4vHPVv) and the administration cost (NT$ 100 per dose; (Centers for Disease Control - Taiwan)); 4vHPVv, human papillomavirus 6/11/16/18 vaccine; 9vHPVv, human papillomavirus 6/11/16/18/31/33/45/52/58 vaccine; AS04-HPV-16/18v, AS04-adjuvanted HPV-16/18 vaccine; CC, cervical cancer; CIN1/2/3, cervical intraepithelial neoplasia grade 1/2/3; GW, genital warts; HPV, human papillomavirus; NHID, National Health Insurance Research Database; NT$, New Taiwan dollar; Pap, Papanicolaou.

QALY loss

Utility decrements for each health state were derived from the published literature (Marcellusi et al., 2015) and adjusted by taking into account the duration of each identified health state (Annemans et al., 2009). Distribution of CC incidence by stage obtained from the Taiwan Cancer Registry Annual report was applied to estimate the overall utility decrement for the ‘cancer cured’ health state (Goldie et al., 2004; Taiwan Cancer Registry Center, 2014) (Table 4).

Table 4.

QALY Loss Used in the Base-Case Analysis

Health state QALY loss References
Cancer cured 0.1035 Goldie et al. (2004), Taiwan Cancer Registry Center (2014)
Cancer treated 0.3830 Marcellusi et al. (2015), Annemans et al. (2009)
CIN2/3 detected 0.0230 Marcellusi et al. (2015), Annemans et al. (2009)
CIN1 detected 0.0766 Marcellusi et al. (2015), Annemans et al. (2009)
GW 0.0396 Marcellusi et al. (2015), Annemans et al. (2009)

CIN1, cervical intraepithelial neoplasia grade 1; CIN2/3, cervical intraepithelial neoplasia grade 2 or 3; GW, genital warts; QALY, quality-adjusted life year

Outcomes

In the model, each health state was associated with a disutility score and a cost. Both disutility scores and costs were combined with the time spent in each health state to estimate the total accrued cost and number of QALYs over the cohort’s lifetime.

The primary outcome reported from the analysis was the incremental cost-effectiveness ratio (ICER) when both incremental cost and incremental QALY were positive. When either was negative, differences in cost and health outcomes were reported separately instead.

Other reported outcome measures include: undiscounted number of CC cases, CC deaths, screening-detected CIN cases and GW cases, undiscounted and discounted costs, and undiscounted and discounted life years (LYs) and QALYs gained. All outcomes were reported per person.

Scenario analysis

Three scenario analyses were conducted around key assumptions and model inputs included in the base-case analysis: limited duration of immunity, higher GW incidence and vaccine tender prices.

Duration of immunity

There remains an incomplete understanding on the duration of HPV vaccine protection as the evidence on long-term vaccine effectiveness to date is limited (Aregay et al., 2013; David et al., 2009; Ferris et al., 2014; Joura et al., 2015; Naud et al., 2014). The possibility of limited duration of immunity was explored. In the scenario analysis, vaccine immunity started to decline 20 years post-vaccination by 30% over 5 years and then remained constant through the lifetime of the cohort. This scenario analysis was applied to all vaccines and included no booster dose.

GW incidence

GW incidence data obtained from the NHID were considered as the most robust data available for the Taiwanese population (Ministry of Health and Welfare - Taiwan, 2013). However, given the concern associated with misdiagnosis and the frequent use of self-paid cream in Taiwan to manage GW cases, a scenario analysis was undertaken to examine the impact of using higher GW incidence data as reported from Korea in the analysis (National Evidence-based Healthcare Collaborating Agency (NECA) Study, 2012).

Vaccination costs

Vaccine tender prices reflect prices per dose, including administration costs, applicable to the Taiwanese government. To account for differences in vaccine prices quoted to the government and in the private market, the effect of using the tender prices (AS04-HPV-16/18v: NT$ 1,800; 4vHPVv: NT$ 1,800 and 9vHPVv: NT$ 2,500) instead of private market prices was explored in the scenario analysis (Government e-Procurement System for Health Promotion Administration, Ministry of Health and Welfare; Government e-Procurement System for Public Health Bureau, Chiayi City).

Sensitivity analyses

Two types of sensitivity analyses were performed: a univariate sensitivity analysis and a probabilistic sensitivity analysis (PSA) to assess the robustness of the model results. Ranges and distributions used in the sensitivity analyses are presented in Supplementary Material 6.

Univariate sensitivity analysis

A univariate sensitivity analysis was performed to assess the effect of uncertainty around key parameters in the model on the outcomes. The analysis used relevant ranges for each variable such as the minimum and maximum values of the confidence interval or a variation of 20% higher or lower than the base-case. For example, the proxy effectiveness against GW varied between 0.0 and 50.9% in the sensitivity analysis, based on evidence of decline in GW incidence among young women vaccinated with AS04-HPV-16/18v in England (Canvin et al., 2016; Public Health England, 2012; Szarewski et al., 2013; Toft et al., 2014). For the 9vHPVv vaccination cost, a broad range (120%-200%) of 4vHPVv vaccination cost was explored given its recent entry in the Taiwanese market (Supplementary Material 6).

Probabilistic sensitivity analysis

A PSA was performed to further test parameters’ uncertainty and to evaluate the overall robustness of the model. Distributions were assigned to parameters for transition probability, disease burden, vaccine effectiveness, cost and utility as informed in Supplementary Material 6. In total, 1,000 samples were generated from the assigned distribution for each comparison.

Results

Base-case analysis

The incremental results of the base-case analysis for the 2D-AS04-HPV-16/18v compared with screening alone, and with other vaccines (2D-4vHPVv, 2D-9vHPVv and 3D-9vHPVv; applied in addition to screening) are presented in Table 5. Detailed results of the base-case analysis are provided in Supplementary Material 7.

Table 5.

Incremental Number of Cases, Total Costs, LYs and QALYs Gained (Per Person) for 2D-AS04-HPV-16/18v+Screening vs Screening Only, 2D-4vHPVv+Screening and 2D/3D-9vHPVv+Screening

Results 2DAS04-HPV-16/18v+screening compared with
Screening only 2D-4vHPVv+scr 2D-9vHPVv+scr 3D-9vHPVv+scr
Undiscounted number of cases
 CC cases -0.0035 -0.0020 -0.0006 -0.0006
 CC deaths -0.0010 -0.0006 -0.0002 -0.0002
 Screening-detected CIN2/3 cases -0.0046 -0.0026 -0.0008 -0.0008
 Screening-detected CIN1 cases -0.0371 -0.0098 0.0101 0.0101
 GW cases 0.0000 0.0124 0.0144 0.0144
Discounted costs (NT$) and health outcomes
 Total cost 5,770 -293 -2,687 -7,226
 LY gained 0.0287 0.0167 0.0048 0.0048
 QALY gained 0.0365 0.0201 0.0049 0.0049
 ICER per QALY gained (NT$) 158,157 AS04-HPV-16/18v+scr dominates 2D-4vHPVv+scr AS04-HPV-16/18v+scr dominates 2D-9vHPVv+scr AS04-HPV-16/18v+scr dominates 3D-9vHPVv+scr

2D, two-dose; 3D, three-dose; 4vHPVv, human papillomavirus 6/11/16/18 vaccine; 9vHPVv, human papillomavirus 6/11/16/18/31/33/45/52/58 vaccine; AS04-HPV-16/18v, AS04-adjuvanted HPV-16/18 vaccine; CC, cervical cancer; CIN1, cervical intraepithelial neoplasia grade 1; CIN2/3, cervical intraepithelial neoplasia grade 2 or 3; GW, genital warts; HPV, human papillomavirus; ICER, incremental cost-effectiveness ratio; LYs, life years; NT$, New Taiwan dollar; QALY, quality-adjusted life year; scr, screening

Cases and deaths

Combined with screening, 2D-AS04-HPV-16/18v prevented more screening-detected CIN2/3 cases, CC cases and CC deaths per person compared with screening only as well as in comparison with the other vaccines, 2D -4vHPVv and 2D/3D-9vHPVv combined with screening. However, 2D-4vHPVv+screening averted more GW cases, and 2D/3D-9vHPVv+screening prevented more GW cases and more screening-detected CIN1 cases per person, compared with 2D-AS04-HPV-16/18v+screening (Table 5).

Costs, QALY and ICER

Compared with screening alone, 2D- AS04-HPV-16/18v+screening was associated with 0.0365 additional QALYs and increased costs of NT$ 5,770 per person. This resulted in an ICER of NT$ 158,157 per QALY gained, which fell below the threshold of NT$ 727,818 (Directorate General of Budget - Accounting and Statistics - Executive Yuan - R.O.C. (Taiwan), 2017), indicating that the 2D-AS04-HPV-16/18v+screening is cost-effective compared with the screening programme alone (Table 5).

When compared with 2D-4vHPVv+screening, 2D-AS04-HPV-16/18v+screening was associated with 0.0201 additional QALYs and NT$ 293 saved, per person. 2D-AS04-HPV-16/18v+screening also resulted in 0.0049 additional QALYs, compared with 2D/3D-9vHPVv+screening and cost savings of NT$ 2,687 and NT$ 7,226 per person, compared with the 2D and 3D-9vHPVv+screening, respectively. Therefore, 2D- AS04-HPV-16/18v+screening dominated (i.e. incurred greater QALYs at lower costs compared with) 2D-4vHPVv+screening and 2D/3D-9vHPVv+screening (Table 5).

Scenario and sensitivity analysis

Scenario analysis

When considering a limited duration of immunity, a higher GW incidence or vaccine tender prices, the 2D-AS04-HPV-16/18v+screening still remained cost-effective compared with screening only, with NT$ 168,163, NT$ 158,161 and NT$ 70,335 per QALY gained, respectively.

All the scenarios considered led to the same conclusions as the base-case analysis of 2D-AS04-HPV-16/18v+screening dominating all the other vaccines added to screening. Compared with 2D-4vHPVv+screening, 2D-9vHPVv+screening and 3D-9vHPVv+screening, 2D -AS04-HPV-16/18v+screening was still associated with both cost savings (NT$ 157– 293, NT$ 1,263–2,685 and NT$ 3,488–7,224 per person, respectively) and additional QALYs gained (0.0191–0.0201, 0.0039–0.0049 and 0.0039–0.0049 per person, respectively).

Detailed results of scenario analyses are provided in Supplementary Material 8.

Univariate sensitivity analysis

The results of the univariate sensitivity analysis demonstrated the robustness of the base-case analysis results (Supplementary Material 9). For 2D-AS04-HPV-16/18v+screening versus screening alone, the results are summarised separately by the impact on costs, QALYs and the ICERs. For the five variables with the biggest impact on costs, QALYs and the ICERs, estimates per person are presented in Figure S 1 in Supplementary Material 9.

For the analyses comparing 2D-AS04-HPV-16/18v+screening with 2D-4vHPVv+screening and 2D/3D-9vHPVv+screening, only the incremental costs and QALYs are reported separately as the incremental costs or QALYs are often negative (Supplementary Material 9).

The 2D-AS04-HPV-16/18v+screening remained cost-effective compared with screening alone and dominant against the 2D-4vHPVv+screening, despite variations in the model inputs. The 2D-AS04-HPV-16/18v+screening also remained the dominant choice compared with the 2D/3D-9vHPVv+screening under all variable changes except when the model simultaneously assumed the lower limit of 2D-AS04-HPV-16/18v effectiveness and upper limit of 9vHPVv effectiveness. In this case, 2D-AS04-HPV-16/18v+screening generated cost savings but was also less effective (Supplementary Material 6).

Probabilistic sensitivity analysis

The results of the PSA are shown as the scatter-plot figure in a cost-effectiveness plane presented in Figure 1.

Figure 1.

Figure 1

Probabilistic sensitivity analysis results. 2D, two-dose; 3D, three-dose; 4vHPVv, human papillomavirus 6/11/16/18 vaccine; 9vHPVv, human papillomavirus 6/11/16/18/31/33/45/52/58 vaccine; AS04-HPV-16/18v, AS04-adjuvanted HPV-16/18 vaccine; HPV, human papillomavirus; NT$, New Taiwan dollar; QALY, quality-adjusted life year; scr, screening

For the comparison between 2D-AS04-HPV-16/18v+screening and screening alone, 100% of the replicates fell in quadrant I, with 99.9% below the threshold, indicating that vaccination with 2D-AS04-HPV-16/18v is a cost-effective option. For the comparison between 2D-AS04-HPV-16/18v+screening and 2D- 4vHPVv+screening, 99.9% of the replicates fell in quadrant IV, indicating that 2D-AS04-HPV-16/18v+screening mostly dominates 2D-4vHPVv+screening while the remaining 0.1% fell in quadrant I below the threshold.

Regarding the comparison between 2D-AS04-HPV-16/18v+screening and 2D/3D-9vHPVv+screening, 78.0% and 76.4% of the replicates fell in quadrant IV, while 22.0% and 23.6% of the replicates fell in quadrant III, respectively.

Discussion

This study examines the cost-effectiveness of vaccination with AS04-HPV-16/18v+screening compared with screening alone and against other available HPV vaccines in Taiwan incorporating the new 2-dose schedules of AS04-HPV-16/18v and 4vHPVv, as well as the recently available vaccine 9vHPVv (2D and 3D). Moreover, unlike previous studies, the present study focuses on the overall vaccine effectiveness irrespective of HPV type.

For the comparison of 2D-AS04-HPV-16/18v+screening with screening alone, in the base-case, 2D-AS04-HPV-16/18v+screening results in 0.0365 QALYs gained at an additional cost of NT$ 5,770 per person after discounting. This results in an ICER of NT$ 158,157 per QALY gained, which is considered cost-effective in Taiwan as the ICER falls below the threshold of NT$ 727,818 (Directorate General of Budget - Accounting and Statistics - Executive Yuan - R.O.C. (Taiwan), 2017). When compared with 2D- 4vHPVv+screening and 2D/3D-9vHPVv+screening, 2D- AS04-HPV-16/18v+screening generates more QALYs (0.0201, 0.0049 and 0.0049, respectively) at lower costs (-NT$ 293, -NT$ 2,687 and -NT$ 7,226 respectively) per person. The 2D-AS04-HPV-16/18v+screening therefore dominates 2D-4vHPVv+screening and 2D/3D- 9vHPVv+screening. These cost savings and better health outcomes seem to be predominantly driven by the superior vaccine effectiveness against CC with 2D-AS04-HPV-16/18v compared with the other HPV vaccines available in Taiwan.

The findings of the present study are consistent with those from previous cost-effectiveness studies conducted in Taiwan that reported HPV vaccination as a cost-effective option compared with screening alone (Dasbach et al., 2008; Liu et al., 2010; Rogoza et al., 2008; Suárez et al., 2008). They are also consistent with those from a previous cost-effectiveness study conducted in Taiwan concluding that AS04-HPV-16/18v+screening is the dominant choice compared with 4vHPVv+screening (Demarteau et al., 2012).

The present study also reports that 2D-AS04-HPV-16/18v+screening averts a greater number of screening-detected CIN2/3 cases, CC cases and CC deaths compared with 2D-4vHPVv+screening and 2D/3D- 9vHPVv+screening but prevents fewer screening-detected CIN1 cases compared with 2D/3D-9vHPVv+screening. This is likely attributable to the lower progression rates of patients to CIN2/3 or CC with 2D-AS04-HPV-16/18v+screening, leading to a larger HPV infection-free population in the 2D-AS04-HPV-16/18v+screening cohort thus susceptible to develop CIN1, compared with the other vaccines.

Although this analysis primarily considered the effectiveness of HPV vaccines against CC, the prevention of GW cases was also examined. The base-case assumes that 2D-AS04-HPV-16/18v does not offer protection against GW, as indicated in its label in Taiwan (GSK Taiwan, 2016). Thus, the base-case analysis results in 2D-4vHPVv+screening and 2D/3D-9vHPVv+screening averting more GW cases, compared with 2D-AS04-HPV-16/18v+screening. However, evidence from a clinical trial and real-world studies demonstrated moderate efficacy of 2D-AS04-HPV-16/18v in preventing GW (Canvin et al., 2016; Public Health England, 2012; Szarewski et al., 2013). In England, since the national vaccination programme with AS04-HPV-16/18v was implemented in 2008, there has been a decrease of 30.6% in new diagnoses of GW among young women aged 15–19 years (Canvin et al., 2016) and 20.8% among women above 19 years old (Public Health England, 2012). This observation was supported by a post-hoc analysis of the randomised controlled trial (Szarewski et al., 2013). As such, the current base-case analysis is likely to underestimate the value of AS04-HPV-16/18v by assuming no protection against GW.

The robustness of the model and base-case results is demonstrated by the scenario and sensitivity analyses. Even when immunity starts declining after 20 years post-vaccination, or higher GW incidence (South Korean data) or vaccine tender prices instead of private market prices are used in the model, the results remain similar to the base-case analysis. Also, note that at the time of manuscript development, Cho et al., (2017) published GW incidence data for Taiwan. The GW incidence estimates presented in Cho et al., (2017) are quite different from the one used in the current study, due to the differing definitions of GW cases. Nonetheless, using the higher GW incidence from Cho et al., (2017) does not affect the conclusions (data not shown). In the univariate sensitivity analysis, despite change in the incremental costs and health outcomes from the variability in discount rates and vaccination costs, the overall conclusions of the base-case analysis broadly remain the same. The only exception is when the lower limit of 2D-AS04-HPV-16/18v effectiveness and the upper limit of 9vHPVv effectiveness were simultaneously assumed. In this situation 2D-AS04-HPV-16/18v+screening generated cost savings but was also less effective. The PSA also confirms the robustness of the results. In the majority of cases, 2D-AS04-HPV-16/18v+screening is a cost-effective option compared with no vaccination and a dominant option compared with 2D-4vHPVv+screening and 2D/3D-9vHPVv+screening.

As in any economic analysis of vaccines, our model has several limitations. Unlike a transmission dynamic model, our static cohort model could not account for the benefits of herd immunity (Demarteau et al., 2012; Suárez et al., 2008). Our study also only focuses on the impact of HPV vaccines against CC, in accordance with the WHO’s key priority for HPV vaccines (World Health Organization, 2017), and did not distinguish between squamous cell carcinoma and adenocarcinoma. Moreover, our model does not consider vaccine protection against other HPV-related cancers such as vulvar, vaginal, anal or oropharyngeal carcinoma, and laryngeal papillomatosis. Consequently, the potential health benefits of the vaccines may have been underestimated.

In Taiwan, adding 2D-AS04-HPV-16/18v to the existing CC screening programme is expected to be cost-effective compared with screening alone with estimated ICER falling below the WTP threshold. Compared with incorporating 2D-4vHPVv or 2D/3D-9vHPVv, HPV vaccination using the 2D-AS04-HPV-16/18v results in cost savings and greater QALY gains. Therefore, in addition to the current screening programme, 2D-AS04-HPV-16/18v is the dominant choice when compared with all other available HPV vaccines in Taiwan.

Acknowledgements

The authors are grateful to Dr Chun-Ju Chiang (Taiwan Cancer Registry Center, Taiwan) and Ting-Yao Wang (Taipei Medical University, Taiwan) for their contribution to the study as well as Mei-Ling Chin (GSK, Taiwan), Stephen Griffiths (GSK, Belgium) and Rebecca Crawford (GSK, Singapore) for their support during the publication development. The authors would also like to thank Business & Decision Life Sciences platform for editorial assistance and manuscript coordination, on behalf of GSK. Nathalie Arts coordinated publication development and provided editorial support and Sarah Fico provided medical writing support.

Disclosures

Contributorship

All authors participated in the design or implementation or analysis, the interpretation of the study and the development of this manuscript. All authors had full access to the data and gave final approval before submission.

Trademark section

Cervarix is a trade mark owned by or licensed to the GSK group of companies. Gardasil is a trade mark of Merck and Co. Inc.

Funding

GlaxoSmithKline Biologicals SA was the funding source and was involved in all stages of the study conduct and analysis (GSK study identifier: HO-16-17794). GlaxoSmithKline Biologicals SA also took in charge all costs associated with the development and the publishing of the present manuscript.

Conflicts of interest

GVK, PM and CL are employees of the GSK group of companies. JYH was an employee of the GSK group of companies at the time of the study. WFC, SLY, LWH, JHJ and CHT have nothing to disclose.

Focus on the Patient

What is the context?

  • Human papillomavirus (HPV) is the necessary cause of cervical cancer (CC).

  • Three HPV vaccines are available in Taiwan: i) AS04-HPV-16/18v (Cervarix, GSK), ii) 4vHPVv (Gardasil, Merck), and iii) 9vHPVv (Gardasil 9v, Merck).

  • It is well-known that vaccination of adolescent girls along with screening plays an important role in reducing the risk of CC.

  • Since the introduction of 2-dose (2D) schedules of AS04-HPV-16/18v and 4vHPVv, and the newly approved 2D/3D 9vHPVv, no published data are available on the relative cost-effectiveness of these vaccines in the context of Taiwan.

What is new?

  • This study provides an updated cost-effectiveness analysis including recent data and incorporating the new schedules and vaccine.

  • Moreover, unlike previous studies (that assessed vaccine effectiveness by HPV type) the present study focused on the overall vaccine effectiveness irrespective of HPV type.

What is the impact?

  • These data suggest that adding 2D-AS04-HPV-16/18v to the existing screening programme is cost-effective compared with screening alone.

  • 2D-AS04-HPV-16/18v is the dominant option (better health outcomes at lower costs) compared with all other available HPV vaccines in Taiwan.

References

  1. Annemans L, Remy V, Oyee J, Largeron N. Cost-effectiveness evaluation of a quadrivalent human papillomavirus vaccine in Belgium. Pharmacoeconomics. 2009;27:231–45. doi: 10.2165/00019053-200927030-00006. [DOI] [PubMed] [Google Scholar]
  2. Aregay M, Shkedy Z, Molenberghs G, David MP, Tibaldi F. Model-based estimates of long-term persistence of induced HPV antibodies:a flexible subject-specific approach. J Biopharm Stat. 2013;23:1228–48. doi: 10.1080/10543406.2013.834917. [DOI] [PubMed] [Google Scholar]
  3. Bertram MY, Lauer JA, De Joncheere K, et al. Cost-effectiveness thresholds:pros and cons. Bull World Health Organ. 2016;94:925–30. doi: 10.2471/BLT.15.164418. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Bureau of Health Promotion. Pap Smear Screening Registry System Annual Report 2006. Report no. 1992-4695. Department of Health, Executive Yuan:Republic of China (Taiwan) 2007 [Google Scholar]
  5. Cameron RL, Kavanagh K, Cameron Watt D, et al. The impact of bivalent HPV vaccine on cervical intraepithelial neoplasia by deprivation in Scotland:reducing the gap. J Epidemiol Community Health. 2017;71:954–60. doi: 10.1136/jech-2017-209113. [DOI] [PubMed] [Google Scholar]
  6. Canvin M, Sinka K, Hughes G, Mesher D. Decline in genital warts diagnoses among young women and young men since the introduction of the bivalent HPV (16/18) vaccination programme in England:an ecological analysis. Sex Transm Infect. 2016;93:125–8. doi: 10.1136/sextrans-2016-052626. [DOI] [PubMed] [Google Scholar]
  7. Castellsague X. Natural history and epidemiology of HPV infection and cervical cancer. Gynecol Oncol. 2008;110:4–7. doi: 10.1016/j.ygyno.2008.07.045. [DOI] [PubMed] [Google Scholar]
  8. Center for Drug Evaluation. Health Technology Assessment Methodology Guidelines. 2014. [(accessed April 24, 2018)]. http://www.ispor.org/PEguidelines/source/HTA_guidelines_Taiwan.pdf .
  9. Centers for Disease Control - Taiwan 106 (Centers for Disease Control Taiwan - From 2017, for every vaccine dose in the routine vaccination for children at and under 1 year of age, a vaccination fee of TWD 100 is subsidized.) [(accessed May 08, 2017)]. http://www.cdc.gov.tw/info.aspx?treeid=45da8e73a81d495d&nowtreeid=1bd193ed6dabaene6&tid=8C78B8D0EF818F9B .
  10. Chao A, Hsu KH, Lai CH, et al. Cervical cancer screening program integrating Pap smear and HPV DNA testing:A population-based study. Int J Cancer. 2008;122:2835–41. doi: 10.1002/ijc.23441. [DOI] [PubMed] [Google Scholar]
  11. Chen HC, You SL, Hsieh CY, et al. Prevalence of genotype-specific human papillomavirus infection and cervical neoplasia in Taiwan:A community-based survey of 10,602 women. Int J Cancer. 2011;128:1192–203. doi: 10.1002/ijc.25685. [DOI] [PubMed] [Google Scholar]
  12. Cho CY, Lo YC, Hung MC, et al. Risk of cancer in patients with genital warts:A nationwide, population-based cohort study in Taiwan. PLoS One. 2017;12:e0183183. doi: 10.1371/journal.pone.0183183. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Dasbach EJ, Insinga RP, Yang YC, et al. The cost-effectiveness of a quadrivalent human papillomavirus vaccine in Taiwan. Asian Pac J Cancer Prev. 2008;9:459–66. [PubMed] [Google Scholar]
  14. David MP, Van HK, Hardt K, et al. Long-term persistence of anti-HPV-16 and -18 antibodies induced by vaccination with the AS04-adjuvanted cervical cancer vaccine:modeling of sustained antibody responses. Gynecol Oncol. 2009;115:1–6. doi: 10.1016/j.ygyno.2009.01.011. [DOI] [PubMed] [Google Scholar]
  15. Demarteau N, Tang CH, Chen HC, Chen CJ, Van Kriekinge G. Cost-effectiveness analysis of the bivalent compared with the quadrivalent human papillomavirus vaccines in Taiwan. Value Health. 2012;15:622–31. doi: 10.1016/j.jval.2012.02.012. [DOI] [PubMed] [Google Scholar]
  16. Department of Household Registration - M.O.I. Statistics. 2016. [(accessed April 24, 2018)]. http://www.ris.gov.tw/en/web/ris3-english/end-of-year .
  17. Department of Statistics - Ministry of Health and Welfare - Taiwan Taiwan Cancer Registry Dataset [Google Scholar]
  18. Directorate General of Budget - Accounting and Statistics - Executive Yuan - R.O.C. (Taiwan) Global reach - Achieving quality. 2017. [accessed March 2, 2017]. https://eng.dgbas.gov.tw/mp.asp?mp=2 .
  19. Ferris D, Samakoses R, Block SL, et al. Long-term study of a quadrivalent human papillomavirus vaccine. Pediatrics. 2014;134:e657–65. doi: 10.1542/peds.2013-4144. [DOI] [PubMed] [Google Scholar]
  20. Gertig DM, Brotherton JM, Budd AC, et al. Impact of a population-based HPV vaccination program on cervical abnormalities:a data linkage study. BMC Med. 2013;11:227. doi: 10.1186/1741-7015-11-227. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Giuliano A, Joura E, Iversen O, et al. Efficacy of a novel 9-valent HPV L1 vaccine against disease irrespective of HPV type. Proceedings of the 29th International Papillomavirus Conference and Clinical and Public Health Workshops; Aug 20-25, 2014;Seattle Washington USA Accession no:PH.PD04.05. 2014:252. [Google Scholar]
  22. Goldie SJ, Kohli M, Grima D, et al. Projected clinical benefits and cost-effectiveness of a human papillomavirus 16/18 vaccine. J Natl Cancer Inst. 2004;96:604–15. doi: 10.1093/jnci/djh104. [DOI] [PubMed] [Google Scholar]
  23. Government e-Procurement System for Health Promotion Administration, Ministry of Health and Welfare:2016 working plan of Human Papillomavirus vaccines procurement and vaccination;award announcement (not awarded)[Updated as of September 10, 2016] [(accessed August 11, 2017)]. http://web.pcc.gov.tw/tps/main/pms/tps/atm/atmNonAwardAction.do?searchMode=common&method=nonAwardContentForPublic&pkAtmMain=51975053 .
  24. Government e-Procurement System for Public Health Bureau, Chiayi City:2017 working plan of Chiayi City for Human Papillomavirus vaccines procurement and vaccination;award announcement. [[Updated as of April 28, 2017], (accessed August 11, 2017)]. http://web.pcc.gov.tw/tps/main/pms/tps/atm/atmAwardAction.do?newEdit=false&searchMode=common&method=inquiryForPublic&pkAtmMain=52125202&tenderCaseNo=A106005 .
  25. GSK Taiwan. Cervarix®Pescribing Information (Taiwan) 2016. [(accessed January 30, 2018)]. https://www.fda.gov.tw/mlms/H0001D.aspx?Type=Lic&LicId=10000856 .
  26. Health Promotion Administration - Ministry of Health and Welfare - Taiwan. Cancer Registry Interactive System. [(accessed Januray 2, 2017)]. https://cris.hpa.gov.tw .
  27. Health Promotion Administration - Ministry of Health and Welfare - Taiwan. Cervical Cancer Screening Registry System Annual Report. 2014. [(accessed June 1, 2017)]. http://tcr.cph.ntu.edu.tw/main.php?Page=A5 .
  28. International Society for Pharmacoeconomics and Outcome Research. Guidelines of Methodological Standards for Pharmacoeconomic Evaluations in Taiwan. 2006. [(accessed January 15, 2018)]. https://www.ispor.org/PEguidelines/source/2006_PEG_EN_2009.pdf .
  29. Joura EA, Ault KA, Bosch FX, et al. Attribution of 12 high-risk human papillomavirus genotypes to infection and cervical disease. Cancer Epidemiol Biomarkers Prev. 2014;23:1997–2008. doi: 10.1158/1055-9965.EPI-14-0410. [DOI] [PubMed] [Google Scholar]
  30. Joura EA, Giuliano AR, Iversen OE, et al. A 9-valent HPV vaccine against infection and intraepithelial neoplasia in women. N Engl J Med. 2015;372:711–23. doi: 10.1056/NEJMoa1405044. [DOI] [PubMed] [Google Scholar]
  31. Kavanagh K, Pollock KG, Cuschieri K, et al. Changes in the prevalence of human papillomavirus following a national bivalent human papillomavirus vaccination programme in Scotland:a 7-year cross-sectional study. Lancet Infect Dis. 2017;17:1293–302. doi: 10.1016/S1473-3099(17)30468-1. [DOI] [PubMed] [Google Scholar]
  32. Köse FM, Naki MM. Cervical premalignant lesions and their management. J Turk Ger Gynecol Assoc. 2014;15:109–21. doi: 10.5152/jtgga.2014.29795. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Lee CC, Chen TS, Wu TZ, Huang LM. A human papillomavirus public vaccination program in Taiwan:the Kinmen County experience. J Formos Med Assoc. 2012;111:682–5. doi: 10.1016/j.jfma.2012.10.004. [DOI] [PubMed] [Google Scholar]
  34. Lehtinen M, Paavonen J, Wheeler CM, et al. Overall efficacy of HPV-16/18 AS04-adjuvanted vaccine against grade 3 or greater cervical intraepithelial neoplasia:4-year end-of-study analysis of the randomised, double-blind PATRICIA trial. Lancet Oncol. 2012;13:89–99. doi: 10.1016/S1470-2045(11)70286-8. [DOI] [PubMed] [Google Scholar]
  35. Liu PH, Hu FC, Lee PI, et al. Cost-effectiveness of human papillomavirus vaccination for prevention of cervical cancer in Taiwan. BMC Health Serv Res. 2010;10:11. doi: 10.1186/1472-6963-10-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Marcellusi A, Capone A, Favato G, et al. Health utilities lost and risk factors associated with HPV-induced diseases in men and women:the HPV Italian collaborative study group. Clin Ther. 2015;37:156–67.e4. doi: 10.1016/j.clinthera.2014.11.002. [DOI] [PubMed] [Google Scholar]
  37. Merck Sharp and Dohme Corp. Clinical Study Report P001. 2015. [(accessed 15/01/2018)]. http://198.61.244.207/Upload/83_Applied%20Redaction%20V503%20P001%20CSR%20Synopsis.pdf .
  38. Ministry of Health and Welfare - Taiwan. National Health Insurance Research Database. 2013. [(accessed June 1, 2017)]. https://www.moi.gov.tw/stat/node.aspx?cate_sn=&belong_sn=6189&sn=6190 .
  39. Ministry of the Interior - Department of Statistics. Life table in Taiwan. [(accessed February 20, 2017)]. http://www.moi.gov.tw/stat/life.aspx .
  40. Munoz N, Kjaer SK, Sigurdsson K, et al. Impact of human papillomavirus (HPV)-6/11/16/18 vaccine on all HPV-associated genital diseases in young women. J Natl Cancer Inst. 2010;102:325–39. doi: 10.1093/jnci/djp534. [DOI] [PubMed] [Google Scholar]
  41. Muñoz N, Bosch FX, de Sanjosé S, et al. Epidemiologic classification of human papillomavirus types associated with cervical cancer. N Engl J Med. 2003;348:518–27. doi: 10.1056/NEJMoa021641. [DOI] [PubMed] [Google Scholar]
  42. National Evidence-based Healthcare Collaborating Agency (NECA) Study. Economic Evaluation of Human Papillomavirus Vaccines. 2012. [(accessed June 01, 2017)]. https://www.neca.re.kr/lay1/program/S1T11C145/report/view.do?seq=88 .
  43. National Health Insurance Administration - Ministry of Health and Welfare - Taiwan. National Health Insurance (NHI) fee schedule. 2016. [(accessed April 10, 2017)]. http://www.nhi.gov.tw/English/webdata/webdata.aspx?menu=11&menu_id=591&WD_ID=591&webdata_id=3633 .
  44. National Statistics - Republic of China (Taiwan) Consumer Price Indices. 2018. [(accessed June 13, 2018)]. https://eng.stat.gov.tw/ct.asp?xItem=12092&ctNode=1558&mp=5 .
  45. Naud PS, Roteli-Martins CM, De Carvalho NS, et al. Sustained efficacy, immunogenicity, and safety of the HPV-16/18 AS04-adjuvanted vaccine:final analysis of a long-term follow-up study up to 9.4 years post-vaccination. Hum Vaccin Immunother. 2014;10:2147–62. doi: 10.4161/hv.29532. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Paavonen J, Naud P, Salmeron J, et al. Efficacy of human papillomavirus (HPV)-16/18 AS04-adjuvanted vaccine against cervical infection and precancer caused by oncogenic HPV types (PATRICIA):final analysis of a double-blind, randomised study in young women. Lancet. 2009;374:301–14. doi: 10.1016/S0140-6736(09)61248-4. [DOI] [PubMed] [Google Scholar]
  47. Pap Smear Task Force Biopsy Dataset [Google Scholar]
  48. Pap Smear Task Force Pap Smear Screening Dataset [Google Scholar]
  49. Powell SE, Hariri S, Steinau M, et al. Impact of human papillomavirus (HPV) vaccination on HPV 16/18-related prevalence in precancerous cervical lesions. Vaccine. 2012;31:109–13. doi: 10.1016/j.vaccine.2012.10.092. [DOI] [PubMed] [Google Scholar]
  50. Public Health England. Health Protection Report - Sexually transmitted infections in England, 2011. 2012. [(accessed January 29, 2018)]. http://webarchive.nationalarchives.gov.uk/20140714091348/http://www.hpa.org.uk/hpr/archives/2012/hpr2212.pdf .
  51. Richardson H, Kelsall G, Tellier P, et al. The natural history of type-specific human papillomavirus infections in female university students. Cancer Epidemiol Biomarkers Prev. 2003;12:485–90. [PubMed] [Google Scholar]
  52. Rogoza RM, Ferko N, Bentley J, et al. Optimization of primary and secondary cervical cancer prevention strategies in an era of cervical cancer vaccination:a multi-regional health economic analysis. Vaccine. 2008;26:46–58. doi: 10.1016/j.vaccine.2008.02.039. [DOI] [PubMed] [Google Scholar]
  53. Sanders GD, Taira AV. Cost-effectiveness of a potential vaccine for human papillomavirus. Emerg Infect Dis. 2003;9:37–48. doi: 10.3201/eid0901.020168. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Shen S-C, Hung Y-C, Kung P-T, et al. Factors involved in the delay of treatment initiation for cervical cancer patients:A nationwide population-based study. Medicine. 2016;95:e4568. doi: 10.1097/MD.0000000000004568. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Suárez E, Smith JS, Bosch FX, et al. Cost-effectiveness of vaccination against cervical cancer:a multi-regional analysis assessing the impact of vaccine characteristics and alternative vaccination scenarios. Vaccine. 2008;26:29–45. doi: 10.1016/j.vaccine.2008.05.069. [DOI] [PubMed] [Google Scholar]
  56. Szarewski A, Skinner SR, Garland SM, et al. Efficacy of the HPV-16/18 AS04-adjuvanted vaccine against low-risk HPV types (PATRICIA randomized trial):an unexpected observation. J Infect Dis. 2013;208:1391–6. doi: 10.1093/infdis/jit360. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Tabrizi SN, Brotherton JM, Stevens MP, et al. HPV genotype prevalence in Australian women undergoing routine cervical screening by cytology status prior to implementation of an HPV vaccination program. J Clin Virol. 2014;60:250–6. doi: 10.1016/j.jcv.2014.04.013. [DOI] [PubMed] [Google Scholar]
  58. Taiwan Cancer Registry Center. Taiwan Cancer Registry Annual Report. 2014. [(accessed August 1, 2017)]. http://tcr.cph.ntu.edu.tw/main.php?Page=A5 .
  59. Toft L, Tolstrup M, Muller M, et al. Comparison of the immunogenicity of Cervarix(R) and Gardasil(R) human papillomavirus vaccines for oncogenic non-vaccine serotypes HPV-31, HPV-33, and HPV-45 in HIV-infected adults. Hum Vaccin Immunother. 2014;10:1147–54. doi: 10.4161/hv.27925. [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Van de Velde N, Brisson M, Boily MC. Modeling human papillomavirus vaccine effectiveness:quantifying the impact of parameter uncertainty. Am J Epidemiol. 2007;165:762–75. doi: 10.1093/aje/kwk059. [DOI] [PubMed] [Google Scholar]
  61. Walboomers JMM, Jacobs MV, Manos MM, et al. Human papillomavirus is a necessary cause of invasive cervical cancer worldwide. J Pathol. 1999;189:12–9. doi: 10.1002/(SICI)1096-9896(199909)189:1<12::AID-PATH431>3.0.CO;2-F. [DOI] [PubMed] [Google Scholar]
  62. Wang PD, Lin RS. Epidemiology of cervical cancer in Taiwan. Gynecol Oncol. 1996;62:344–52. doi: 10.1006/gyno.1996.0247. [DOI] [PubMed] [Google Scholar]
  63. Woodhall SC, Jit M, Soldan K, et al. The impact of genital warts:loss of quality of life and cost of treatment in eight sexual health clinics in the UK. Sex Transm Infect. 2011;87:458–63. doi: 10.1136/sextrans-2011-050073. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. World Health Organization. Human papillomavirus vaccines:WHO position paper, May 2017. Wkly Epidemiol Rec. 2017;92:241–68. [PubMed] [Google Scholar]

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