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Cost-effectiveness evaluation of the 10-valent pneumococcal non-typeable Haemophilus influenzae protein D conjugate vaccine for children in Taiwan

Abstract

Background

Streptococcus pneumoniae (S. pneumoniae) and non-typeable Haemophilus influenzae (NTHi) are substantial contributors to morbidity and mortality of diseases including invasive pneumococcal diseases (IPDs), pneumonia and acute otitis media (AOM) worldwide. In Taiwan, 10-valent pneumococcal polysaccharide and NTHi protein D conjugate vaccine (PHiD-CV) and 13-valent pneumococcal conjugate vaccine (PCV13) are licensed in children against pneumococcal disease. In addition to S. pneumoniae, clinical trials suggest efficacy of PHiD-CV against NTHi AOM. This study aims at evaluating the cost-effectiveness of a 2 + 1 schedule of PHiD-CV vs. PCV13 2 + 1 in the universal mass vaccination program of infants in Taiwan.

Methods

A published Markov cohort model was adapted to simulate the epidemiological burden of IPD, pneumonia and AOM for a birth cohort in Taiwan over 10 years. The probability of entering a specific health state was based on the incidence rate of the diseases. Only direct medical costs were included, and costs and outcomes were discounted annually. Vaccine efficacy assumptions were based on published data and validated by a panel of independent experts. Clinical, epidemiological, and serotype distribution data were based on locally published data or the National Health Insurance Research Database. Price parity of vaccines was assumed. Published pneumococcal disease-related disutility weights were used due to lack of local data. Incremental cost-effectiveness ratio was calculated and benchmarked against the recommended threshold in Taiwan. Extensive one-way sensitivity analysis, alternative scenarios and probabilistic sensitivity analysis were performed to test the robustness of the results.

Results

PHiD-CV would potentially reduce the number of NTHi-related AOM cases substantially and prevent comparable IPD and pneumonia-related cases and deaths compared to PCV13. Over a 10-year horizon, PHiD-CV is estimated to dominate PCV13, saving 6.7 million New Taiwan Dollars (NTD) and saving 21 quality-adjusted life years. The result was robust over a wide range of sensitivity analyses. The dominance of PHiD-CV was demonstrated in 90.5% of the simulations.

Conclusions

PHiD-CV 2 + 1 would provide comparable prevention of IPD, pneumonia cases and additional reduction of NTHi-AOM cases, and is considered dominant compared with PCV13 2 + 1 in Taiwan.

Background

Streptococcus pneumoniae (S. pneumoniae) is an important cause of a spectrum of diseases worldwide, and can cause invasive pneumococcal diseases (IPDs) including meningitis and bacteraemia, non-invasive lower respiratory tract infections such as pneumonia, and non-invasive upper respiratory tract infections, which include sinusitis and acute otitis media (AOM).

Haemophilus influenzae (H. influenzae) is another major driver of infection, particularly in young children [1]. Non-typeable Haemophilus influenzae (NTHi), is most commonly linked with mucosal diseases, such as otitis media and sinusitis [2]. Over the years, the prevalence of NTHi infections has increased, while at the same time H. influenzae type b disease has relatively decreased with the introduction of routine immunization of children, IPDs affect people of all ages, with the greatest burden of disease among young children and older adults, although the incidence varies country-to-country and over time. In Taiwan, it is mandatory to report IPD cases within 7 days of establishing a laboratory-confirmed diagnosis and provide isolated S. pneumoniae to the Taiwan Center for Disease Control (TCDC). Between 2008 and 2013, there were 4453 cases of IPD reported, with peak incidences amongst adults > 75 years and children 2–4 years [3, 4]. This is atypical compared with the usual epidemiology pattern of peak incidences from other countries, with the highest incidence rate generally seen in children < 2 years [5,6,7]. Taiwan has observed serotype replacement in IPD, notably the increased prevalence of serotype 19A, with the proportion of serotype 19A for all ages increasing from 5.5 to 25.3% from 2008 to 2012 [3, 4]. In Taiwan, AOM has caused significant health and economic burden for children < 5 years, with greater than 200,000 cases per year [8]. S. pneumoniae and NTHi infections were identified as the top two bacterial pathogens that cause AOM worldwide. A retrospective study of paediatric patients with culture-proven AOM in a hospital in Taiwan found that between 1999 and 2008 the most commonly isolated pathogens were S. pneumoniae (68%) followed by NTHi (19%) [9]. Over the time period, there was a progressive reduction in the number of patients with AOM caused by the S. pneumoniae bacterium, which might be due to a couple of reasons such as antibiotics prescription changes and vaccination [9].

At present, two pneumococcal conjugate vaccines are licensed to vaccinate children in Taiwan. Synflorix (GSK), a pneumococcal polysaccharide and NTHi protein D conjugate vaccine (PHiD-CV) and Prevenar 13 (Pfizer), a pneumococcal 13-valent conjugate vaccine (PCV13). In children less than 5 years of age, both vaccines are licensed locally for active immunization against diseases caused by S. pneumoniae (including meningitis, sepsis, bacteraemia, pneumonia, and AOM). In addition, PHiD-CV has published efficacy trial data to suggest efficacy against AOM caused by NTHi with the current formulation and a previous 11-valent formulation [10, 11].

To combat pneumococcal diseases among the paediatric population in Taiwan, the government introduced a paediatric pneumococcal conjugate vaccination program in 2013. A one-dose PCV13 catch-up universal mass vaccination (UMV) was first implemented in March 2013 for children aged 2–5 years and then expanded to two-dose PCV13 for children aged 1–5 years from January 2014 onwards. To further reduce the clinical and economic burden of pneumococcal diseases for new birth cohorts, the government has decided to implement PCV13 2 + 1 UMV program (at 2, 4, and 12 months) in primary birth cohorts from 2015 onwards.

Health economic assessments have been increasingly incorporated into the comprehensive health technology assessment for vaccine policy decision-making over the past decade and more recently within the Asia–Pacific region. In Taiwan, local health economic submission is now mandated for a vaccine to be qualified for UMV tenders. A previous study was conducted by Chang et al. [8] to evaluate the burden of pneumococcal diseases in Taiwan from 2002–2008. Due to the changing epidemiology of pneumococcal diseases in Taiwan [3], and the availability of new effectiveness data of the vaccines [11,12,13,14], there is a need to update the cost-effectiveness analysis with the latest data to inform decision-making on the choice of vaccine for the upcoming UMV in Taiwan.

The objective of this study is to evaluate the cost-effectiveness of a UMV program with a 2 + 1 schedule of PHiD-CV vs. a 2 + 1 schedule of PCV13 in Taiwan.

Methods

Markov model

A published Markov cohort model was adapted to simulate the epidemiological burden of pneumococcal and NTHi-related diseases, including IPDs, pneumonia and AOM, within a registered live birth cohort in Taiwan [15, 16]. The cohort-based analyses are commonly used for health economic modelling for determining the direct impact of medical interventions [16], and the current model has been used by previous cost effectiveness studies in other countries [17,18,19]. Figure 1 shows the Markov cohort model for the analyses. In this model, the individuals of the birth cohort were simulated to move between the Markov states according to estimated transition probabilities. The model has a number of mutually exclusive disease-related outcomes including IPDs, pneumonia, AOM, no pneumococcal infection, and death. During each cycle, the probability of entering a specific health state was calculated using the incidence rates of the diseases.

Fig. 1
figure1

Markov cohort model design. Rectangles represent mutually exclusive health states. Age-specific incidences are applied monthly to the susceptible population. Circles (sequelae and death) and small arrows (natural death) represent the proportion of the population removed from the model. Costs and benefits are computed monthly and aggregated over the cohort's lifetime. Non-consulting AOM episodes are accounted for in the quality-of-life calculation. Sp: Streptococcus pneumoniae; AOM: Acute Otitis Media; TTP: Tympanostomy Tube Placement

In the base case, the birth cohort was followed for 10 years from birth, with a lifetime time horizon used as an alternative scenario. A 10-year time horizon was chosen for the base case for two reasons; (1) serotype distribution is expected to be changing over time in the country post introduction of a pneumococcal conjugate vaccine [20] and; (2) the efficacy of the vaccine(s) was assumed to last for approximately 10 years [21].

For both options (vaccination with PHiD-CV or vaccination with PCV13), the model estimated the expected effect of vaccination for each of the disease states. Costs and quality-adjusted life years (QALYs) specific to each health state were estimated from birth to 10 years of age and the total accumulated costs and QALYs calculated. Costs and outcomes were discounted by 3% in the base case. Incremental cost-effectiveness ratios (ICERs) were computed, comparing the marginal benefits and costs of PHiD-CV vs. the PCV13. We benchmarked the results based on local pharmacoeconomic guidelines, whereby cost-saving is described as a strategy with lower costs and higher QALYs, a cost-effective intervention is one in which the ICER is between 1 and 3 Gross Domestic Product (GDP) per capita of the country and an intervention is not cost-effective if the ICER is over 3 GDP per capita of the country (GDP per capita in 2012 in Taiwan = 631,142 NTD) [22, 23].

Epidemiological data

The birth cohort size utilized in the analysis was 229,481 newborns (in 2012). We accessed the National Health Insurance Research Database (NHIRD) of the 2012 entire population records to evaluate both incidence and direct medical costs of IPDs, all-cause pneumonia and AOM, with approval from the Ministry of Health and Welfare.

Consecutive records of the same patient with a 30-day interval between discharge and re-entry were defined as the same episode of disease for inpatient and outpatient visits. The ICD-9 codes used to identify incidence are included in the supplementary materials section. However, local clinical experts considered the incidence data for IPD retrieved from the NHIRD to be a significant underestimation, as most age groups did not have any cases and the number of cases was very different from the published Taiwan surveillance data [8, 24]. Therefore, local experts agreed to use the local surveillance data for both incidence data and IPD serotype distribution data [3, 24].

After validation by local experts, age-specified NHIRD data were used for the incidence of inpatient and outpatient cases for both all-cause pneumonia and AOM. Case-fatality rates (CFR) were based on the 2002–2007 unpublished data on the disease burden of pneumococcal diseases in Taiwan by Chang et al. [25]. Due to the lack of precise ICD-9 codes to capture the long-term sequelae related to IPD, it was decided not to include long-term sequelae in our analysis. A summary of the epidemiological model parameters is available in Table 1.

Table 1 Taiwan model parameters

Vaccine effectiveness

IPD effectiveness

This model assumed a ramp-up protection for the 2 + 1 regimen (with 50, 90 and 100% of the assumed effectiveness attained with each of the 3 doses administered, respectively). We assumed that full efficacy would be achieved after the final dose and that vaccine efficacy (VE) would begin to decline at the age of 3, deteriorating to zero by the age of 10. In the base case, we assumed no herd effect. VE against IPD was calculated as a sum-product of local serotype distribution (based on the latest published IPD surveillance data in Taiwan) and serotype-specific efficacy of each vaccine [3, 24]. IPD serotype distribution in Taiwan is available in Additional file 1: Table ST4.

Randomized controlled trial data are not available on the efficacy of PCV13 against IPD in children; however, real-world effectiveness data are available. On the other hand, the efficacy of PHiD-CV against vaccine-type (VT) IPD has been demonstrated in two double blind randomized controlled trials, one conducted in Finland (FinIP) [92% (95% confidence interval (CI): 58–100%)] for 2 + 1 dosing schedule; [100% (95% CI: 83–100%)] for 3 + 1 dosing schedule) [26]; and the second conducted in Latin America (Clinical Otitis Media & Pneumonia Study (COMPAS) [100% (95% CI: 77–100%)] for 3 + 1 dosing schedule) [11]. Further, post-marketing surveillance has shown both PHiD-CV and PCV13 reduce the incidence of VT IPD [12, 27]. However, the evidence of serotype-specific effectiveness for PHiD-CV and PCV13 for the majority of the individual serotypes was limited due to the low incidence of the seven serotypes common to the two vaccines and PCV7 as many countries had a prior mass vaccination programs using the latter. Therefore, the serotype-specific effectiveness data were largely extrapolated from estimates of VE developed from a CDC case–control study conducted in the US for PCV7 and reported by Whitney et al. [28].

It was assumed that the 10 common types covered by both PHiD-CV and PCV13 (1,4,5,6B,7F,9V,14,18C,19F,23F) would have an efficacy of 94.7%, which is the mean of the serotype-specific estimates (≥ 1 dose) for the 7 serotypes included in PCV7 (Table 2).

Table 2 Vaccine effectiveness against all-cause pneumonia, IPD and AOM

Evidence for cross-protection for PCV7 against serotype 6A (through the inclusion of cross-reactive 6B serotype) has been demonstrated in many countries [28, 29]. PHiD-CV, which also contains serotype 6B, was assessed to be immunologically non-inferior to PCV7 [30], and real-world protection was observed from PHiD-CV use in a UMV program in Finland [14]. It should be noted that prior PCV7 use in many countries has reduced the incidence of IPD caused by serotype 6A significantly and hence, the confidence intervals around impact studies assessing subsequent PHiD-CV use can be wide. Based on the above evidence, cross- protection for 6A of PHiD-CV was assumed at 76% [14, 28, 31].

PHiD-CV, based on recently published evidence from various countries, has been indicated for IPD caused by 19A in Taiwan in July 2018 [39]. Real-word effectiveness data from post-marketing case–control studies in Quebec [VE 71% (95% CI: 24–89%)] [12], and Brazil [VE 82% (95% CI: 11–96%)] [13], a population-based study in Finland [VE 62% (95% CI: 20–85%)] [14], and a surveillance study from the Netherlands [VE 62% (95% CI: 33–81%)] [40], have all demonstrated significant impact of PHiD-CV on 19A IPD. The case–control study from Quebec, Canada additionally demonstrated no substantial difference in effectiveness against 19A IPD between PHiD-CV and PCV13 [71% (95% CI: 24–89%) vs. 74% (95% CI: 11–92%), respectively, p-value > 0.05]. Consequently, a VE value of 71% was assumed for PHiD-CV in the base-case scenario as per latest Quebec data and a range of 19–82% used in the sensitivity and scenario analyses [34]. The lower estimate of 19% was chosen as it was the lowest effectiveness observed for children receiving either PCV7 or PCV10 against 19A IPD (in this instance, IPD occurring after the age of 2 years) as reported from a Taiwanese effectiveness study. The upper estimate of 82% was the effectiveness reported from the Brazilian case–control study [13].

Real-world evidence on the effectiveness of PCV13 on 19A IPD have shown that the estimates are usually lower than the estimates for the serotypes shared with PCV7 [12, 33, 41, 42]. Subsequently, an estimate of 80% was used for PCV13 (the highest reported VE of PCV13 3 + 1 schedule from the US was 86% [41]; the Quebec data on PCV13 2 + 1 were 74% [12]; local experts suggested to use 80% in the base-case analysis as an optimal assumption) [12, 41].

There is conflicting evidence on the effectiveness of PCV13 for protecting against serotype 3 IPD infections [27, 33, 43,44,45,46]. Based on recent data from the UK for a 2 + 1 schedule, a statistically non-significant effectiveness estimate of 26% (95% CI: −69–68%) was observed for PCV13 against serotype 3 [33]. This lack of effectiveness of PCV13 against serotype 3 was highlighted by the UK Joint Committee on Vaccination and Immunisation (JCVI) [47]. In this analysis, an effectiveness of 0% was assumed in the base case and a value of 26% was included in a sensitivity analysis. However, given the limited circulation of serotype 3 in the paediatric population in Taiwan, based on the latest surveillance data, this assumption had limited impact on the result in this model [3, 24].

All-cause pneumonia effectiveness

To date, it has been very difficult to predict with precision the relative impact of one vaccine formulation over another for pneumonia. There have been several pneumonia efficacy trials with vaccine formulations containing 7, 9, 10, and 11 serotypes [11, 48,49,50,51,52]. All of the studies gave efficacy point estimates against this endpoint within a range of 20–35%, with no indication that vaccines with more serotypes provided correspondingly greater protection against pneumonia (in fact the largest difference is among the studies with PCV9) [48, 50, 52]. An independent evaluation of the effectiveness of PCVs in Latin America conducted through a systematic review also concluded that there was no evidence of either of the two vaccines (PCV13 and PHiD-CV) being superior to the other [53]. Furthermore, it would be unlikely to find a significant difference favoring a vaccine with more serotypes, as pneumonia is multifactorial in terms of disease-causing pathogens, with a major proportion of disease cases caused by pathogens other than S. pneumoniae [54].

The COMPAS study demonstrated efficacy of 23.4% (95% CI: 8.8–35.7%) for inpatient pneumonia and 7.3% (95% CI: 2.1–12.3%) for outpatient pneumonia for PHiD-CV [11]. In the absence of PCV13-specific pneumonia VE estimates, local experts agreed to use the same figure for PCV13 outpatient pneumonia at 7.3%. For inpatient pneumonia, even though there was no study showing superior efficacy of a vaccine with higher valence, the local experts, suggested allocating a higher value for PCV13 to take into consideration the proportion of pneumonia cases due to 19A (approximately 12% of the all-cause pneumonia cases were estimated to be due to 19A infection). For PCV13, this proportion of all-cause pneumonia was assumed to have a proportionally higher effectiveness based on the effectiveness values assumed for 19A IPD for PHiD-CV and PCV13 (71% vs. 80%, respectively)—or a 13% higher efficacy. Therefore, the effectiveness estimate of PCV13 against all-cause pneumonia was 23.8% (Table 3).

Table 3 Estimation of effectiveness against all-cause pneumonia for PCV13

AOM effectiveness

The overall efficacy of PHiD-CV against AOM has been demonstrated in the latest double-blinded randomized controlled trial [11]. So far, there are insufficient randomized controlled trial (RCT) data available on the efficacy of PCV13 against overall or pathogen-specific AOM. Based on the literature review, the bacterial causes of AOM have remained largely the same for the past half-century [55]. However, NTHi has become a more important or even the dominant pathogen in recent years, potentially due to replacement issues reported with PCV7 [35, 36, 56,57,58]. Therefore, VE against AOM was estimated based on efficacy against pneumococcal vaccine serotypes and non-vaccine serotype diseases and efficacy against diseases caused by NTHi.

For the base-case scenario, the weighted averages of AOM pathogen distribution due to S. pneumoniae and NTHi across 23 different datasets of different countries were used (35.9% for S. pneumoniae and 32.3% for NTHi) [55]. In the sensitivity analysis, a retrospective local AOM etiology study by Kung et al. [59] was used, which reported higher S. pneumoniae (55.7%) and lower NTHi prevalence (22.9%). This distribution was selected as a sensitivity analysis since it only included moderate to severe AOM, including cases requiring tympanocentesis, which is not routinely performed in mild cases in Taiwan [59]. Due to the lack of better local data, the experts advised the use of data from Kung et al. [59] for the estimation of the pneumococcal serotype distribution of AOM cases, though the sample size was very small, with only 39 episodes reported in the study.

VE against all cause clinical AOM was calculated from VE against (i) pneumococcal vaccine serotypes and non-vaccine serotypes and (ii) AOM caused by NTHi. VE against AOM caused by pneumococcal vaccine serotypes was assumed to be 69.9% (95% CI: 29.8–87.1) based on the observations from the COMPAS trial, a randomized controlled trial of PHiD-CV. VE against pneumococcal non-vaccine types was estimated to be −33% based on the FinOM study to account for serotype replacement. VE against NTHi AOM was assumed to be 21.5% (95% CI: −43.4–57.0) based on the COMPAS trial despite the trial not being powered to estimate this end-point [11]. However, this result is in line with the findings from the POET trial, which used an 11-valent formulation of PHiD-CV; VE = 35.3% (95% CI: 1.8–57.4) [10]. To be conservative, the experts advised to use the lower estimate in COMPAS and use POET figures in the sensitivity analysis.

Two studies assessed the impact of PCV7 on myringotomies/ tympanostomy tube procedures (TTP)—one RCT in the US estimated an efficacy of 23.2% (based on a TTP incidence of approximately 1.1%) [37]; another study from Finland observed a 4% reduction based on an incidence of 12.7% [38]. Fitting an exponential function between these two points results in an incidence-specific VE estimate for myringotomies with PCV7. Based on the overall AOM effectiveness calculated based on the description earlier, PCV13 is estimated to be 1.13 times more effective than PCV7. Thus, the exponential function obtained for PCV7 can be “shifted” up proportionally to obtain the relevant myringotomy efficacy curve for PCV13. A similar curve can also be obtained for PHiD-CV. The base-case estimates used in the model can then be calculated by using the obtained hospitalized myringotomy incidence for Taiwan (as described in Additional file 1: Table ST3).

Other assessments of PCV impact on AOM were not considered in this analysis because they did not provide pathogen-specific VE values that were needed to adjust the model, according to the causative AOM pathogen distributions observed in different countries or regions. Due to lack of local data, long-term sequelae were not included in this analysis.

VE of PHiD-CV against all-cause pneumonia, IPD and AOM are available in Table 2.

Health outcomes and utilities

This model was designed to estimate the impact of diseases by including the respective QALYs lost in acute episodes. Due to the lack of pneumococcal disease(s)-related disutilities in the Taiwanese population, published disutility weights were used [16, 60,61,62]. Table 4 displays disutility values.

Table 4 Disutilities of pneumococcal diseases

Resource use and costs

The analyses were conducted from the perspective of the Taiwanese National Health Insurance system. Therefore, only direct medical costs (e.g. hospitalization, inpatient/outpatient diagnostic tests and procedures, medication/vaccine costs, and healthcare professionals’ fees) were included. Direct medical costs data for the acute episodes were based on the retrieved 2012 NHIRD data which were provided by Health and Welfare Data Science Center and are available in Table 5. In addition, price parity of both vaccines at NTD 1269.5/dose (the current PCV13 UMV price) was applied in the base case.

Table 5 Costs utilized in the model

Sensitivity analyses

Extensive one-way sensitivity analyses were performed to evaluate the robustness of the results and conclusions to changes in model variables. These were performed using ± 20% (up to ± 50% depending on the inputs) for each of the base-case value of most variables, or alternatively the upper and lower limits of the 95% CI when available. A probabilistic sensitivity analysis (PSA) was also performed using 1000 Monte Carlo simulations to assess the robustness of the base-case result.

Scenario analyses

In addition to the sensitivity analyses, we performed additional scenario analyses to determine the effect of changing key assumptions in the model. This includes changing the efficacy of PHiD-CV against serotype 19A, reducing the AOM inpatient incidence rate, adjusting the proportion of AOM cases caused by the respective bacterium, adjusting the efficacy of PCV13 against pneumonia, reducing the efficacy of PHiD-CV against NTHi, and, finally, reducing the price of PHiD-CV by 10%.

Results

Health outcomes and economic impact

Table 6 presents the estimated impact, in terms of health and economic outcomes, of the PHiD-CV vs. PCV13 vaccination programs for the 2012 birth cohort (n = 229,481) in Taiwan. It was projected that PHiD-CV would prevent an additional 4424 cases of AOM and allow a comparable reduction in IPD and pneumonia-related cases. There was no difference in all-cause deaths over 10 years between the two vaccines.

Table 6 Health outcomes and economic impact of PHiD-CV vs. PCV13 vaccination programs

Results showed that the total discounted savings from the PHiD-CV 2 + 1 compared to the PCV13 2 + 1 were estimated to be approximately 8.8 million NTD. The majority of these savings were due to the reduction in incidence and respective costs related to AOM.

Incremental cost-effectiveness ratios

Table 7 presents the results of the cost-effectiveness analysis of PHiD-CV vs. PCV13 in Taiwan. For the base-case scenario, the total discounted QALYs gained with the PHiD-CV vaccination program was projected to be 21, meaning 21 additional years in ‘perfect’ health when compared with PCV13. The total discounted savings with the PHiD-CV 2 + 1 vaccination program compared to the PCV13 program was projected at approximately 8.8 million NTD. Therefore, the PHiD-CV vaccination program was a cost-saving (or “dominant”) strategy compared with PCV13 for Taiwan. This was a conservative estimation as we did not take into account the costs associated with complications, long-term sequelae and antibiotics use commonly associated with AOM.

Table 7 Incremental cost-effectiveness ratio of PHiD-CV vs. PCV13 vaccination programs

Sensitivity analyses

One-way sensitivity analyses

In the one-way sensitivity analyses, the cost-saving result of the PHiD-CV vaccination program vs. PCV13 was found to be very robust. As expected, the effectiveness, and epidemiological parameters around AOM are the most sensitive ones (Fig. 2). Marginal differences were assumed between the vaccines in terms of serotype-specific IPD efficacies and so too for all-cause pneumonia. Additionally, the incidence of AOM is estimated to be nearly 700 times higher than that of IPD in children < 5 years of age. Thus, the results are driven by the assumed relative efficacy estimates for both vaccines against AOM.

Fig. 2
figure2

One-way sensitivity analyses tornado plot for PHiD-CV vs. PCV13. AOM: acute otitis media; GP: general practitioner; PCV13: 13-valent pneumococcal conjugate vaccine; PHiD-CV: 10-valent pneumococcal polysaccharide and NTHi protein D conjugate vaccine; NT$: new Taiwan dollar; QALY: quality adjusted life year Sp: Streptococcus pneumoniae; VT: vaccine type

Probabilistic sensitivity analyses

A monte-carlo simulation over 1000 iterations moderately supported the robustness of the base-case result (Fig. 3). The PSA showed that at price-parity PHiD-CV was dominant compared to PCV13 (i.e., being more effective and less costly) in 61% of simulations. PCV13 dominated PHiD-CV in 12% of the simulations.

Fig. 3
figure3

Probabilistic sensitivity analysis plot for PHiD-CV vs. PCV13. NT$: new Taiwan dollar; QALY: quality adjusted life year

Scenario analyses

In addition to sensitivity analyses, we performed several scenario analyses to test the cost-saving result to changes in key parameters (Table 8).

Table 8 Results from the scenario analyses of PHiD-CV vaccination program vs. PCV13 in Taiwan

Discussion

Evidence has suggested significant efficacy/effectiveness of PCV13 and PHiD-CV on pneumonia, IPD or meningitis hospitalization; however, no evidence could be found to demonstrate superiority of PCV13 or PHiD-CV based on their post-launch surveillance data [53]. The goal of this economic evaluation was to assess the cost-effectiveness of a PHiD-CV 2 + 1 vaccination program vs. a PCV13 2 + 1 vaccination strategy in Taiwan. This analysis incorporated a robust body of available clinical efficacy/effectiveness data for both vaccines, and local epidemiologic and cost data from the local surveillance report and published data. Price parity between vaccine costs was set to minimize the influence of price to the results and enable a clearer evaluation and comparison, which was mainly dependent on the clinical profile of the compared vaccines.

It is important to note that certain conservative assumptions were adopted in the base-case analyses for PHiD-CV. Despite independent assessments of comparable protection between the two vaccines against overall IPD and pneumonia [53, 63], a serotype-specific approach for estimating effectiveness against IPD was used (taking into account cross-protection against serotypes 6A and 19A for PHiD-CV). Furthermore, a higher effectiveness was assumed for PCV13 against pneumonia to take into account the potentially unique serotype distribution for pneumococcal pneumonia in Taiwan. The AOM-associated complications, long-term sequelae and benefits on reductions in antibiotics use were also not included in the analysis [64]. The inclusion of the above assumptions would likely result in higher cost-savings and QALYs gained due to a 2 + 1 PHiD-CV UMV as compared with a 2 + 1 PCV13 UMV.

Based on our model, both vaccines were shown to have comparable reductions in the incidence of IPD and all-cause pneumonia for a Taiwanese birth cohort over a 10-year time-horizon. However, PHiD-CV was projected to provide added benefits on AOM through protection offered against NTHi AOM, which would help reduce antibiotic use and resistance among Taiwanese children. In terms of the overall financial impact, a PHiD-CV vaccination program would provide (discounted) cost-savings of 8.8 million NTD over the next 10 years per vaccinated birth cohort. Based on the scenario analysis where the cost of PHiD-CV was reduced by 10% compared to PCV13, we found that the price of vaccine was a very sensitive and significant parameter to the amount of financial savings generated by the PHiD-CV 2 + 1 vaccination program.

Extensive one-way sensitivity analysis and PSA were performed to test the results against the uncertainties of values in different parameters. In one-way sensitivity analyses, most variables did not alter the cost-saving result. Further, in a range of scenarios, PHiD-CV remained cost-saving in comparison to PCV13. The PSA found that the results were robust, with 61% certainty that PHiD-CV would be cost-saving while also generating positive health benefits.

Our findings are in line with other published cost-effectiveness analyses comparing a PHiD-CV vaccination program to PCV13. The latest publication by Shiragami et al. [65] compared PHiD-CV 3 + 1 with PCV13 3 + 1 for a paediatric UMV in Japan from both healthcare provider and societal perspectives over a time horizon of 5 years. For the Japanese birth cohort (1,042,000 newborns) the model projected that vaccination with PHiD-CV would result in cost-savings of 1.9 and 3.9 billion Japanese Yen (16 million and /33 million USD) from the healthcare provider and societal perspectives, respectively, generating an additional 433 QALYs. By et al. [66] used a Markov cohort model to compare PHiD-CV 2 + 1 and PCV13 2 + 1 strategies in Sweden from a societal perspective. It was found that the PHiD-CV strategy would generate an additional 45.3 QALYs with a substantial savings of 62 million Swedish Krona (close to 9.3 million USD) for a cohort of 112 120 children. Robberstad et al. [67] have also applied a Markov model to evaluate the cost-effectiveness of pneumococcal conjugate vaccines (PCV-7, PCV13 and PHiD-CV) for a specific birth cohort (n = 61 152) in Norway. The authors found PHiD-CV to be a dominant strategy compared with PCV13, with substantial savings of 24 million Norwegian Kroner (close to 4.15 million USD) and an increase of 49 QALYs gained. In the study published by Knerer et al. [16], it was found that PHiD-CV was again a dominant strategy as compared with PCV13, offering additional savings of 9 million Canadian Dollars (close to 9.2 million USD) in a birth cohort size of approximately 33 million newborns in Canada, and additional savings of 4.9 million British Pounds (close to 7.2 million USD) in UK with the birth cohort size of approximately 61 million newborns.

Previously published cost-effectiveness studies in the region that presented a contrasting outcome [68,69,70,71], i.e., PCV13 was a dominant option over PHiD-CV, relied on assumptions that do not hold well against the most recent body of evidence. Among these, the key assumptions were:

  • Local serotype coverage-based approach for estimating vaccine effectiveness without accounting for cross-protection—a simple comparison of antigens included in the vaccine to estimate vaccine effectiveness has been shown to be erroneous in light of the evidence from well-designed studies that point to significant protection for PHiD-CV against IPD caused by serotypes 6A and 19A [13, 28, 72]. Besides, there is a growing body of evidence to show that PCV13 offers very limited to negligible protection against serotype 3 IPD [47]. These studies also extrapolated this effect to not just IPD, but all-cause pneumonia and AOM. The WHO Strategic Advisory Group of Experts (SAGE) group and Pan American Health Organization (PAHO), after examining the breadth of published evidence, stated that there was no evidence to point to the superiority of one vaccine over the other [53, 63]. This conclusion was further substantiated by a Swedish study that compared counties using PHiD-CV with those using PCV13 as a part of a UMV program; the authors also found no difference in overall IPD protection provided by either vaccine [73].

  • Herd protection—some of these studies assumed no herd protection for PHiD-CV while extrapolating the herd-protection observed for PCV7 in the US to PCV13 by adjusting for the local serotype coverage. The authors have cited a lack of evidence of indirect protection for PHiD-CV as a basis for their assumption, however, recent evidence points to a significant indirect impact. One Finnish ecological study observed a 44% reduction in laboratory-confirmed IPD in unvaccinated children [74] and another demonstrated an annual decline of 2.4 and 9.2% in those aged ≥ 65 years and 18–64 years, respectively. Surveillance data from countries using PHiD-CV also clearly demonstrate VT IPD herd effects in all age groups of older adults following the introduction of childhood vaccination programs [75, 76].

As with every modeling exercise, there are a number of limitations to the current analysis. First, there are uncertainties about the herd effect in IPD due to the lack of published data on herd protection induced by each vaccine. In the current model, it was assumed that both vaccines would have the same herd protection effect, thus the inclusion or exclusion of equal herd effect would not impact the model results, unless herd protection differed by vaccine. It is difficult to accurately predict the evolution of indirect effect – these could potentially depend on the prior use of PCV7, underlying IPD serotype distribution, schedule used in children etc. [77, 78]. This assumption might be changed with the availability of future data. Another complicating feature is serotype replacement, especially in the elderly age-group [73, 76, 79]. Second, while robustly designed studies from various countries using PHiD-CV demonstrate statistically significant protection against IPD caused by serotype 19A, results from ecological studies are mixed. The potential reasons for this discrepancy are many, including confounding factors and biases inherent to such study designs. To account for this a low estimate for VE against 19A IPD was tested in a scenario analyses, and PHiD-CV still resulted in cost-savings over PCV13 indicating the importance of focusing on overall IPD protection and potential benefits against NTHi AOM from using PHiD-CV. Finally, the local data were limited as the NHIRD is a claim insurance database, which is less accurate than active surveillance data. Opinions of infectious disease specialists were used to validate the ICD-9 codes and output of incidence data to ameliorate this issue. Moreover, extensive sensitivity analyses have been conducted to test the robustness of the results and conclusion.

Conclusion

In conclusion, PHiD-CV 2 + 1 UMV was projected to provide comparable prevention of IPD and pneumonia cases and greater reduction of AOM cases and would be cost-saving as compared with PCV13 2 + 1 in Taiwan (assuming price parity between the vaccines). This outcome was observed to hold well when accounting for parameter uncertainties using deterministic and probabilistic sensitivity analyses. The relative price of the vaccines was found to be a significant parameter that affects the results. Further studies on the indirect effect of the vaccines need to be undertaken to present a more robust result.

Availability of data and materials

Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

Abbreviations

AOM:

Acute otitis media

CFR:

Case-fatality rate

CI:

Confidence interval

GDP:

Gross domestic product

NTD:

New Taiwanese dollar

PSA:

Probabilistic sensitivity analysis

RCT:

Randomized controlled trial

TCDC:

Taiwan center for disease control

TTP:

Tympanostomy tube placement

UMV:

Universal mass vaccination

VE:

Vaccine effectiveness

VT:

Vaccine-type

References

  1. 1.

    Erwin AL, Smith AL. Nontypeable Haemophilus influenzae: understanding virulence and commensal behavior. Trends Microbiol. 2007;15(8):355–62.

    CAS  PubMed  Google Scholar 

  2. 2.

    Murphy TF. Respiratory infections caused by non-typeable Haemophilus influenzae. Current opinion in infectious diseases. 2003;16(2):129–34.

    CAS  PubMed  Google Scholar 

  3. 3.

    Chiang C-S, Chen Y-Y, Jiang S-F, Liu D-P, Kao P-H, Teng H-J, et al. National surveillance of invasive pneumococcal diseases in Taiwan, 2008–2012: differential temporal emergence of serotype 19A. Vaccine. 2014;32(27):3345–9.

    PubMed  Google Scholar 

  4. 4.

    Lu CY, Chiang CS, Chiu CH, Wang ET, Chen YY, Yao SM, et al. Successful control of Streptococcus pneumoniae 19A replacement with a catch-up primary vaccination program in Taiwan. Clin Infect Dis. 2019;69:1581.

    PubMed  Google Scholar 

  5. 5.

    Chad M, Cox M, Ruth Link-Gelles, MPH Manual for the surveillance of vaccine-preventable diseases. Chapter 11: Pneumococcal. https://www.cdc.gov/vaccines/pubs/surv-manual/chpt11-pneumo.html. Accessed 10 Nov 2019.

  6. 6.

    Invasive Pneumococcal Disease. https://www.phac-aspc.gc.ca/im/vpd-mev/pneumococcal-pneumococcie/professionals-professionnels-eng.php. Accessed 10 Nov 2019.

  7. 7.

    ECDC Surveillance Report. Surveillance of invasive pneumococcal disease in Europe 2010. https://ecdc.europa.eu/en/publications/Publications/invasive-pneumoccocal-disease-surveillance-2010.pdf. Accessed 10 Nov 2019.

  8. 8.

    Chang C, Wang P, Huang Y, Wu B, editors. Economic and clinical burden of pneumococcal diseases and acute otitis media in Taiwan: a nationwide population-based database analysis. Value in health. Malden: Wiley-Blackwell Publishing, Inc Commerce Place; 2010.

  9. 9.

    Chiu N-C, Lin H-Y, Hsu C-H, Huang F-Y, Lee K-S, Chi H. Epidemiological and microbiological characteristics of culture-proven acute otitis media in Taiwanese children. J Formos Med Assoc. 2012;111(10):536–41.

    PubMed  Google Scholar 

  10. 10.

    Prymula R, Peeters P, Chrobok V, Kriz P, Novakova E, Kaliskova E, et al. Pneumococcal capsular polysaccharides conjugated to protein D for prevention of acute otitis media caused by both Streptococcus pneumoniae and non-typable Haemophilus influenzae: a randomised double-blind efficacy study. Lancet. 2006;367(9512):740–8.

    CAS  PubMed  Google Scholar 

  11. 11.

    Tregnaghi MW, Saez-Llorens X, Lopez P, Abate H, Smith E, Posleman A, et al. Efficacy of pneumococcal nontypable Haemophilus influenzae protein D conjugate vaccine (PHiD-CV) in young Latin American children: a double-blind randomized controlled trial. PLoS Med. 2014;11(6):e1001657.

    PubMed  PubMed Central  Google Scholar 

  12. 12.

    Deceuninck G, De Serres G, Boulianne N, Lefebvre B, De Wals P. Effectiveness of three pneumococcal conjugate vaccines to prevent invasive pneumococcal disease in Quebec. Canada Vaccine. 2015;33(23):2684–9.

    CAS  PubMed  Google Scholar 

  13. 13.

    Domingues CM, Verani JR, Montenegro Renoiner EI, de Cunto Brandileone MC, Flannery B, de Oliveira LH, et al. Effectiveness of ten-valent pneumococcal conjugate vaccine against invasive pneumococcal disease in Brazil: a matched case-control study. Lancet Respir Med. 2014;2(6):464–71.

    CAS  PubMed  Google Scholar 

  14. 14.

    Jokinen J, Rinta-Kokko H, Siira L, Palmu AA, Virtanen MJ, Nohynek H, et al. Impact of ten-valent pneumococcal conjugate vaccination on invasive pneumococcal disease in Finnish children—a population-based study. PLoS ONE. 2015;10(3):e0120290.

    PubMed  PubMed Central  Google Scholar 

  15. 15.

    Ministry of Health and Welfare. Birth statistics 2012. https://www.hpa.gov.tw/BHPNet/Web/HealthTopic/TopicArticle.aspx?No=201310230001&parentid=201109200006. Accessed 15 Feb 2018.

  16. 16.

    Knerer G, Ismaila A, Pearce D. Health and economic impact of PHiD-CV in Canada and the UK: a Markov modelling exercise. J Med Econ. 2012;15(1):61–766.

    PubMed  Google Scholar 

  17. 17.

    Varghese L, Talbot L, Govender A, Zhang XH, Mungall BA. A cost-effectiveness analysis of the 10-valent pneumococcal non-typeable Haemophilus influenzae protein D conjugate vaccine (PHiD-CV) compared to the 13-valent pneumococcal conjugate vaccine (PCV13) for Universal Mass Vaccination Implementation in New Zealand. Appl Health Econ Health Policy. 2018;16(3):331–45.

    PubMed  PubMed Central  Google Scholar 

  18. 18.

    Wang XJ, Saha A, Zhang XH. Cost-effectiveness analysis of a universal mass vaccination program with a PHiD-CV 2+1 schedule in Malaysia. Cost Eff Res Alloc. 2017;15:17.

    Google Scholar 

  19. 19.

    Zhang XH, Leeuwenkamp O, Oh KB, Lee YE, Kim CM. Cost-effectiveness analysis of infant pneumococcal vaccination with PHiD-CV in Korea. Human Vaccines Immunother. 2018;14(1):85–94.

    Google Scholar 

  20. 20.

    Feikin DR, Kagucia EW, Loo JD, Link-Gelles R, Puhan MA, Cherian T, et al. Serotype-specific changes in invasive pneumococcal disease after pneumococcal conjugate vaccine introduction: a pooled analysis of multiple surveillance sites. PLoS Med. 2013;10(9):e1001517.

    PubMed  PubMed Central  Google Scholar 

  21. 21.

    De Wals P, Black S, Borrow R, Pearce D. Modeling the impact of a new vaccine on pneumococcal and nontypable Haemophilus influenzae diseases: a new simulation model. Clin Ther. 2009;31(10):2152–69.

    PubMed  Google Scholar 

  22. 22.

    Republic of China. National statistics 2012. https://eng.stat.gov.tw/public/Attachment/41128185540OM2RMIO7.xls. Accessed 16 Nov 2018.

  23. 23.

    XE.com. Currency exchange rate 2012. 2014. https://www.xe.com/currencyconverter/. Accessed 16 Nov 2018.

  24. 24.

    Wei S-H, Chiang C-S, Chiu C-H, Chou P, Lin T-Y. Pediatric Invasive pneumococcal disease in Taiwan following a National Catch-up program with the 13-valent pneumococcal conjugate vaccine. Pediatr Infect Dis J. 2015;34(3):e71–e7777.

    PubMed  Google Scholar 

  25. 25.

    Chang et al. Burden of pneumococcal diseases, acute otitis media and an economic analysis of pneumococcal vaccines in Taiwan. In: Unpublished data, editor. 2010.

  26. 26.

    Palmu AA, Jokinen J, Borys D, Nieminen H, Ruokokoski E, Siira L, et al. Effectiveness of the ten-valent pneumococcal Haemophilus influenzae protein D conjugate vaccine (PHiD-CV10) against invasive pneumococcal disease: a cluster randomised trial. Lancet. 2013;381(9862):214–22.

    PubMed  Google Scholar 

  27. 27.

    Kaplan SL, Barson WJ, Lin PL, Romero JR, Bradley JS, Tan TQ, et al. Early trends for invasive pneumococcal infections in children after the introduction of the 13-valent pneumococcal conjugate vaccine. Pediatr Infect Dis J. 2013;32(3):203–7.

    PubMed  Google Scholar 

  28. 28.

    Whitney CG, Pilishvili T, Farley MM, Schaffner W, Craig AS, Lynfield R, et al. Effectiveness of seven-valent pneumococcal conjugate vaccine against invasive pneumococcal disease: a matched case-control study. Lancet. 2006;368(9546):1495–502.

    CAS  PubMed  Google Scholar 

  29. 29.

    Pilishvili T, Lexau C, Farley MM, Hadler J, Harrison LH, Bennett NM, et al. Sustained reductions in invasive pneumococcal disease in the era of conjugate vaccine. J Infect Dis. 2010;201(1):32–41.

    PubMed  Google Scholar 

  30. 30.

    Vesikari T, Wysocki J, Chevallier B, Karvonen A, Czajka H, Arsène J-P, et al. Immunogenicity of the 10-valent pneumococcal non-typeable Haemophilus influenzae protein D conjugate vaccine (PHiD-CV) compared to the licensed 7vCRM vaccine. Pediatr Infect Dis J. 2009;28(4):S66–S76.

    PubMed  Google Scholar 

  31. 31.

    Rinta-Kokko H, Palmu AA, Auranen K, Nuorti JP, Toropainen M, Siira L, et al. Long-term impact of 10-valent pneumococcal conjugate vaccination on invasive pneumococcal disease among children in Finland. Vaccine. 2018;36(15):1934–40.

    PubMed  Google Scholar 

  32. 32.

    Joint Committee on Vaccination and Immunisation. Pneumococcal sub-committee. Minute of the meeting on 04 October 2017. 2017. https://app.box.com/s/iddfb4ppwkmtjusir2tc/file/247634612957. Accessed 24 Jun 2019.

  33. 33.

    Andrews NJ, Waight PA, Burbidge P, Pearce E, Roalfe L, Zancolli M, et al. Serotype-specific effectiveness and correlates of protection for the 13-valent pneumococcal conjugate vaccine: a postlicensure indirect cohort study. Lancet Infect Dis. 2014;14(9):839–46.

    CAS  PubMed  Google Scholar 

  34. 34.

    Su W-J, Lo H-Y, Chang C-H, Chang L-Y, Chiu C-H, Lee P-I, et al. Effectiveness of pneumococcal conjugate vaccines of different valences against invasive pneumococcal disease among children in Taiwan: a Nationwide Study. Pediatr Infect Dis J. 2016;35(4):e124–e133133.

    PubMed  Google Scholar 

  35. 35.

    Eskola J, Kilpi T, Palmu A, Jokinen J, Haapakoski J, Herva E, et al. Efficacy of a pneumococcal conjugate vaccine against acute otitis media. N Engl J Med. 2001;344(6):403–9.

    CAS  PubMed  Google Scholar 

  36. 36.

    Jokinen J, Palmu AA, Kilpi T. Acute otitis media replacement and recurrence in the Finnish otitis media vaccine trial. Clin Infect Dis. 2012;55(12):1673–6.

    CAS  PubMed  Google Scholar 

  37. 37.

    Fireman B, Black SB, Shinefield HR, Lee J, Lewis E, Ray P. Impact of the pneumococcal conjugate vaccine on otitis media. Pediatr Infect Dis J. 2003;22(1):10–6.

    PubMed  Google Scholar 

  38. 38.

    Palmu AAI, Verho J, Jokinen J, Karma P, Kilpi TM. The seven-valent pneumococcal conjugate vaccine reduces tympanostomy tube placement in children. Pediatr Infect Dis J. 2004;23(8):732–8.

    PubMed  Google Scholar 

  39. 39.

    Food and Drug Administration MoHaW, Taiwan (Republic of China). Synflorix—10-valent pneumococcal conjugate vaccine 2019. (in Mandarin). https://www.fda.gov.tw/MLMS/ShowFile.aspx?LicId=10000891&Seq=007&Type=9. Accessed 3 Sept 2019.

  40. 40.

    Knol MJ, Wagenvoort GHJ, Sanders EAM, Elberse K, Vlaminckx BJ, de Melker HE, et al. Invasive pneumococcal disease 3 years after introduction of 10-valent pneumococcal conjugate vaccine, the Netherlands. Emerg Infect Dis. 2015;21(11):2040–4.

    CAS  PubMed  PubMed Central  Google Scholar 

  41. 41.

    Moore MR, Link-Gelles R, Schaffner W, Lynfield R, Holtzman C, Harrison LH, et al. Effectiveness of 13-valent pneumococcal conjugate vaccine for prevention of invasive pneumococcal disease in children in the USA: a matched case-control study. Lancet Respir Med. 2016;4(5):399–406.

    CAS  PubMed  Google Scholar 

  42. 42.

    Weinberger R, van der Linden M, Imöhl M, von Kries R. Vaccine effectiveness of PCV13 in a 3+1 vaccination schedule. Vaccine. 2016;34(18):2062–5.

    PubMed  Google Scholar 

  43. 43.

    Demczuk WH, Martin I, Griffith A, Lefebvre B, McGeer A, Lovgren M, et al. Serotype distribution of invasive Streptococcus pneumoniae in Canada after the introduction of the 13-valent pneumococcal conjugate vaccine, 2010–2012. Can J Microbiol. 2013;59(12):778–88.

    CAS  PubMed  Google Scholar 

  44. 44.

    Harboe ZB, Dalby T, Weinberger DM, Benfield T, Molbak K, Slotved HC, et al. Impact of 13-valent pneumococcal conjugate vaccination in invasive pneumococcal disease incidence and mortality. Clin Infect Dis. 2014;59(8):1066–73.

    CAS  PubMed  Google Scholar 

  45. 45.

    Moore MR, Link-Gelles R, Schaffner W, Lynfield R, Lexau C, Bennett NM, et al. Effect of use of 13-valent pneumococcal conjugate vaccine in children on invasive pneumococcal disease in children and adults in the USA: analysis of multisite, population-based surveillance. Lancet Infect Dis. 2015;15(3):301–9.

    CAS  PubMed  PubMed Central  Google Scholar 

  46. 46.

    Steens A, Bergsaker MA, Aaberge IS, Ronning K, Vestrheim DF. Prompt effect of replacing the 7-valent pneumococcal conjugate vaccine with the 13-valent vaccine on the epidemiology of invasive pneumococcal disease in Norway. Vaccine. 2013;31(52):6232–8.

    PubMed  Google Scholar 

  47. 47.

    HPA. UK Pneumococcal Weekly Surveillance 2014. https://webarchive.nationalarchives.gov.uk/20140714084352/https://www.hpa.org.uk/Topics/InfectiousDiseases/InfectionsAZ/Pneumococcal/EpidemiologicalDataPneumococcal/CurrentEpidemiologyPneumococcal/. Accessed 17 Jun 2018.

  48. 48.

    Cutts FT, Zaman SM, Enwere G, Jaffar S, Levine OS, Okoko JB, et al. Efficacy of nine-valent pneumococcal conjugate vaccine against pneumonia and invasive pneumococcal disease in The Gambia: randomised, double-blind, placebo-controlled trial. Lancet. 2005;365(9465):1139–46.

    CAS  PubMed  Google Scholar 

  49. 49.

    Hansen J, Black S, Shinefield H, Cherian T, Benson J, Fireman B, et al. Effectiveness of heptavalent pneumococcal conjugate vaccine in children younger than 5 years of age for prevention of pneumonia: updated analysis using World Health Organization standardized interpretation of chest radiographs. Pediatr Infect Dis J. 2006;25(9):779–81.

    PubMed  Google Scholar 

  50. 50.

    Klugman KP, Madhi SA, Huebner RE, Kohberger R, Mbelle N, Pierce N. A trial of a 9-valent pneumococcal conjugate vaccine in children with and those without HIV infection. N Engl J Med. 2003;349(14):1341–8.

    CAS  PubMed  Google Scholar 

  51. 51.

    Lucero MG, Nohynek H, Williams G, Tallo V, Simões EA, Lupisan S, et al. Efficacy of an 11-valent pneumococcal conjugate vaccine against radiologically confirmed pneumonia among children less than 2 years of age in the Philippines: a randomized, double-blind, placebo-controlled trial. Pediatr Infect Dis J. 2009;28(6):455–62.

    PubMed  Google Scholar 

  52. 52.

    Madhi SA, Kuwanda L, Cutland C, Klugman KP. The impact of a 9-valent pneumococcal conjugate vaccine on the public health burden of pneumonia in HIV-infected and-uninfected children. Clin Infect Dis. 2005;40(10):1511–8.

    PubMed  Google Scholar 

  53. 53.

    de Oliveira LH, Camacho LA, Coutinho ES, Martinez-Silveira MS, Carvalho AF, Ruiz-Matus C, et al. Impact and effectiveness of 10 and 13-valent pneumococcal conjugate vaccines on hospitalization and mortality in children aged less than 5 years in Latin American countries: a systematic review. PLoS ONE. 2016;11(12):e0166736.

    PubMed  PubMed Central  Google Scholar 

  54. 54.

    Fein A, Grossman R, Ost D. Diagnosis and management of pneumonia and other respiratory infections: professional communications; 2006.

  55. 55.

    Leibovitz E, Jacobs MR, Dagan R. Haemophilus influenzae: a significant pathogen in acute otitis media. Pediatr Infect Dis J. 2004;23(12):1142–52.

    PubMed  Google Scholar 

  56. 56.

    Casey JR, Kaur R, Friedel VC, Pichichero ME. Acute otitis media otopathogens during 2008 to 2010 in Rochester. NY Pediatr Infect Dis J. 2013;32(8):805–9.

    PubMed  Google Scholar 

  57. 57.

    Pumarola F, Mares J, Losada I, Minguella I, Moraga F, Tarrago D, et al. Microbiology of bacteria causing recurrent acute otitis media (AOM) and AOM treatment failure in young children in Spain: shifting pathogens in the post-pneumococcal conjugate vaccination era. Int J Pediatr Otorhinolaryngol. 2013;77(8):1231–6.

    PubMed  Google Scholar 

  58. 58.

    Wiertsema SP, Kirkham LA, Corscadden KJ, Mowe EN, Bowman JM, Jacoby P, et al. Predominance of nontypeable Haemophilus influenzae in children with otitis media following introduction of a 3+0 pneumococcal conjugate vaccine schedule. Vaccine. 2011;29(32):5163–70.

    CAS  PubMed  Google Scholar 

  59. 59.

    Kung Y-H, Chiu N-C, Lee K-S, Chang L, Huang DT-N, Huang F-Y, et al. Bacterial etiology of acute otitis media in the era prior to universal pneumococcal vaccination in Taiwanese children. J Microbiol Immunol Infect. 2014;47(3):239–44.

    PubMed  Google Scholar 

  60. 60.

    Bennett JE, Sumner W 2nd, Downs SM, Jaffe DM. Parents’ utilities for outcomes of occult bacteremia. Arch Pediatr Adolesc Med. 2000;154(1):43–8.

    CAS  PubMed  Google Scholar 

  61. 61.

    Morrow A, De Wals P, Petit G, Guay M, Erickson LJ. The burden of pneumococcal disease in the Canadian population before routine use of the seven-valent pneumococcal conjugate vaccine. Can J Infect Dis Med Microbiol. 2007;18(2):121–7.

    PubMed  PubMed Central  Google Scholar 

  62. 62.

    Oh PI, Maerov P, Pritchard D, Knowles SR, Einarson TR, Shear NH. A cost-utility analysis of second-line antibiotics in the treatment of acute otitis media in children. Clin Ther. 1996;18(1):160–82.

    CAS  PubMed  Google Scholar 

  63. 63.

    SAGE. Meeting of the immunization Strategic Advisory Group of Experts, October 2017—conclusions and recommendations. Wkly Epidemiol Rec. 2017;48(92):729–748.

  64. 64.

    Palmu AA, Jokinen J, Nieminen H, Rinta-Kokko H, Ruokokoski E, Puumalainen T, et al. Effect of pneumococcal Haemophilus influenzae protein D conjugate vaccine (PHiD-CV10) on outpatient antimicrobial purchases: a double-blind, cluster randomised phase 3–4 trial. Lancet Infect Dis. 2014;14(3):205–12.

    CAS  PubMed  Google Scholar 

  65. 65.

    Shiragami M, Mizukami A, Leeuwenkamp O, Mrkvan T, Delgleize E, Kurono Y, et al. Cost-effectiveness evaluation of the 10-valent pneumococcal non-typeable Haemophilus influenzae protein D conjugate vaccine and 13-valent pneumococcal vaccine in Japanese children. Infect Dis Ther. 2014;4:93.

    PubMed Central  Google Scholar 

  66. 66.

    By A, Sobocki P, Forsgren A, Silfverdal SA. Comparing health outcomes and costs of general vaccination with pneumococcal conjugate vaccines in Sweden: a Markov model. Clin Ther. 2012;34(1):177–89.

    CAS  PubMed  Google Scholar 

  67. 67.

    Robberstad B, Frostad CR, Akselsen PE, Kvaerner KJ, Berstad AK. Economic evaluation of second generation pneumococcal conjugate vaccines in Norway. Vaccine. 2011;29(47):8564–74.

    PubMed  Google Scholar 

  68. 68.

    Haasis MA, Ceria JA, Kulpeng W, Teerawattananon Y, Alejandria M. Do pneumococcal conjugate vaccines represent good value for money in a lower-middle income country? A cost-utility analysis in the Philippines. PLoS ONE. 2015;10(7):e0131156.

    PubMed  PubMed Central  Google Scholar 

  69. 69.

    Kulpeng W, Leelahavarong P, Rattanavipapong W, Sornsrivichai V, Baggett HC, Meeyai A, et al. Cost-utility analysis of 10- and 13-valent pneumococcal conjugate vaccines: protection at what price in the Thai context? Vaccine. 2013;31(26):2839–47.

    PubMed  PubMed Central  Google Scholar 

  70. 70.

    Maurer KA, Chen HF, Wagner AL, Hegde ST, Patel T, Boulton ML, et al. Cost-effectiveness analysis of pneumococcal vaccination for infants in China. Vaccine. 2016;34(50):6343–9.

    PubMed  Google Scholar 

  71. 71.

    Wu DB, Roberts C, Lee VW, Hong LW, Tan KK, Mak V, et al. Cost-effectiveness analysis of infant universal routine pneumococcal vaccination in Malaysia and Hong Kong. Human Vaccines Immunother. 2016;12(2):403–16.

    Google Scholar 

  72. 72.

    Mrkvan T, Hoet B, Adegbola R, Van Dyke M, Hausdorff W, editors. Serotype 19A and the 10-valent pneumococcal non-typeable Haemophilus influenzae protein D conjugate vaccine (PHIDCV): Lessons learned to date. Abstract presented at 31st Annual Meeting of the European Society for Paediatric Infectious Diseases (ESPID); 2013.

  73. 73.

    Naucler P, Galanis I, Morfeldt E, Darenberg J, Ortqvist A, Henriques-Normark B. Comparison of the impact of pneumococcal conjugate vaccine 10 or pneumococcal conjugate vaccine 13 on invasive pneumococcal disease in equivalent populations. Clin Infect Dis. 2017;65(11):1780–9.

    PubMed  PubMed Central  Google Scholar 

  74. 74.

    Palmu AA, Rinta-Kokko H, Nuorti JP, Nohynek H, Jokinen J. A pneumococcal conjugate vaccination programme reduced clinically suspected invasive disease in unvaccinated children. Acta Paediatr. 2018. https://doi.org/10.1111/apa.14335.

    Article  PubMed  Google Scholar 

  75. 75.

    Institute of Environmental Science & Research. Invasive Pneumococcal Disease Reports. https://surv.esr.cri.nz/surveillance/IPD.php. Accessed 3 Dec 2018.

  76. 76.

    National Institute for Health and Welfare. Incidence of invasive pneumococcal disease in Finland 2018. https://thl.fi/en/web/thlfi-en/research-and-expertwork/projects-and-programmes/monitoring-the-population-effectiveness-of-pneumococcal-conjugate-vaccination-in-the-finnish-national-vaccination-programme/incidence-of-invasive-pneumococcal-disease-in-finland. Accessed 24 Jun 2019.

  77. 77.

    Hanquet G, Krizova P, Valentiner-Branth P, Ladhani SN, Nuorti JP, Lepoutre A, et al. Effect of childhood pneumococcal conjugate vaccination on invasive disease in older adults of 10 European countries: implications for adult vaccination. Thorax. 2019;74(5):473–82.

    PubMed  Google Scholar 

  78. 78.

    Loo JD, Conklin L, Fleming-Dutra KE, Knoll MD, Park DE, Kirk J, et al. Systematic review of the indirect effect of pneumococcal conjugate vaccine dosing schedules on pneumococcal disease and colonization. Pediatr Infect Dis J. 2014;33(Suppl 2):S161–S171171.

    PubMed  Google Scholar 

  79. 79.

    Ladhani SN, Collins S, Djennad A, Sheppard CL, Borrow R, Fry NK, et al. Rapid increase in non-vaccine serotypes causing invasive pneumococcal disease in England and Wales, 2000–17: a prospective national observational cohort study. Lancet Infect Dis. 2018;18(4):441–51.

    PubMed  Google Scholar 

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Acknowledgements

Authors would like to thank Business & Decision Life Sciences platform for editorial assistance and publication coordination, on behalf of GSK. Jonathan Ghesquière coordinated publication development and editorial support. The authors also thank Ting-An Tai and Kevin Lin (IQVIA Solutions Taiwan Ltd., on behalf of GSK) for providing writing support, and Lijoy Varghese for his contribution to the study and manuscript preparation.

Trademark statement

Synflorix is a trademark owned or licensed by the GSK group of companies.

Prevnar is a trademark of Pfizer.

Funding

GlaxoSmithKline Biologicals S.A. funded this study (GSK study identifier: HO-15-16056) and all costs associated with the development and the publishing of related publications.

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All authors contributed to the analysis or interpretation of its results. Authors had full access to data. All authors read and approved the final manuscript.

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Correspondence to Nan-Chang Chiu.

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Not applicable.

Competing interests

X-H Zhang is employee of the GSK group of companies and holds shares in the GSK group of companies as part of her employee remuneration. CY Lu reports personal fees from the GSK group of companies and Pfizer, outside the submitted work. N-C Chiu reports grants from the Taiwanese CDC, Sanofi Pasteur, Novartis, Medigen, and the GSK group of companies, outside the submitted work. E Kruger and S-C Tan report that their organization received fees from the GSK group of companies for the conduct of the study and the development of the related publications, and outside of the submitted work. Other authors declare no conflict of interest.

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Lu, CY., Chung, CH., Huang, LM. et al. Cost-effectiveness evaluation of the 10-valent pneumococcal non-typeable Haemophilus influenzae protein D conjugate vaccine for children in Taiwan. Cost Eff Resour Alloc 18, 30 (2020). https://doi.org/10.1186/s12962-020-00225-9

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Keywords

  • Pneumococcal conjugate vaccines
  • Taiwan
  • Synflorix
  • Prevenar 13
  • Invasive pneumococcal disease
  • Acute otitis media
  • Cost-effectiveness analysis