FormalPara Key Points
Why carry out this study?
• Rotavirus infection is the major cause of rotavirus gastroenteritis (RVGE), resulting in acute diarrhoea in young children, and is associated with significant health and cost burden in Thailand.
• Two vaccines preventing rotavirus, the human rotavirus vaccine (HRV) and the human-bovine reassortant rotavirus vaccine (HBRV) are licensed worldwide and their introduction as universal mass vaccination (UMV) is recommended by the World Health Organization.
• The current study aims to evaluate the epidemiological and economic consequences of introducing HRV as part of a UMV programme in Thailand.
What was learned from the study?
• The introduction of HRV as part of a UMV programme is expected to be a cost-effective use of healthcare resources in Thailand, when compared to no vaccination.
• The introduction of HRV would result in greater costs than no vaccination but would prevent more RVGE-related hospitalisations and deaths. This would significantly improve the quality of life of Thai children, as well as reducing the burden of treatment costs and caregivers’ productivity losses.


Rotavirus (RV) infection is the major cause of gastroenteritis worldwide and results in acute diarrhoea in young children [1]. The virus is transmitted by faecal-oral route and contaminated surfaces and hands [2]. The symptoms of rotavirus gastroenteritis (RVGE) range from vomiting and diarrhoea to fatal dehydration. In Asia, RV is associated with substantial hospitalisations and deaths among children < 5 years old [3]. In Thailand, RVGE is the major cause of acute gastroenteritis, accounting for 28–50% of children admitted to hospital [4]. The estimated RVGE hospitalisation incidence rate among children < 5 years old is 11.3 cases per 1000 children per year and the RVGE-related death rate is 2.2 per 100,000 children per year [3, 5].

To reduce the burden of RVGE, oral vaccines have been developed and the World Health Organisation (WHO) recommends their inclusion in all national immunisation programmes [6]. Two internationally available RV vaccines, the human rotavirus vaccine (HRV; Rotarix, GSK) and human-bovine reassortant rotavirus vaccine (HBRV; RotaTeq, Merck & Co. Inc.), have been licensed in Thailand since 2005 and 2008, respectively [7, 8]. HRV is a vaccine based on a single attenuated G1P [8] human rotavirus strain that aims to mimic the protection conferred by natural infection. It is constructed to provide genotype-specific and heterotypic protection against common rotavirus A (RVA) genotypes [9]. HBRV has been developed by introducing human RVA genotype genes (G1-4 and P [8]) into a bovine RVA parent strain to generate five different reassortant strains [10]. The WHO recommends HRV to be administered orally in a two-dose schedule concomitant with the first and second dose of diphtheria-tetanus-pertussis (DTP) vaccination and HBRV orally in a three-dose schedule together with the three first doses of DTP vaccination, with always at least 4 weeks between the doses [6].

Both vaccines have demonstrated comparable effectiveness against homotypic and heterotypic circulating RV strains in high-, middle- and low-income countries [11,12,13,14,15,16]. They also have proved to be well tolerated and have demonstrated a similar overall safety profile [17, 18]. Nevertheless, as demonstrated in the US and Mexico, it should be noted that HRV is likely to achieve better completion rates and higher compliance than HBRV because of the difference in their dosing schedules (i.e., two-dose HRV versus three-dose HBRV) [19,20,21,22].

The cost-effectiveness of RV vaccination versus no vaccination has been assessed in three previous studies in Thailand, with conflicting results [23,24,25,26]. Muangchana et al. showed that vaccination (two or three dose) may not be cost-effective, while Chotivitayatarakorn et al. and Tharmaphornpilas et al. both determined that the two-dose RV vaccination could be cost-effective in Thailand [23,24,25]. The differences in outcomes were likely due to different model inputs and assumptions incorporated in each study; for instance, the RVGE mortality and incidence, and the vaccine effectiveness used in Muangchana et al., were lower than those used in Chotivitayatarakorn et al. [23, 24].

Given the substantial disease burden as well as conflicting results on the economic value in the previous studies, the objective of this analysis is to evaluate the epidemiological and economic consequences of HRV as part of a universal mass vaccination (UMV) programme in Thailand using relevant and, if available, more recent local data than the previous studies. The choice of data and assumptions was validated with local experts to reflect the current situation in Thailand. This evidence will support government decision-making on the implementation of RV vaccination at national level.


The methodology used was in line with the Thai health technology assessment (HTA) guidelines [27], together with the model inputs and assumptions, consulted on and validated by local experts.

Modelling Approach

Cost-Utility Analysis

A previously published cost-utility model was adapted to estimate the difference in costs and health outcomes if HRV was to be used as part of a UMV programme versus no vaccination in Thailand [28,29,30].

The cost-utility model used was a static, deterministic, cross-sectional population model built in Microsoft Excel, consisting of two arms—no vaccination versus RV vaccination with two doses of HRV administered to the individuals in their first year of life—including the following events of interest: (1) RVGE requiring homecare (homecare-RVGE), (2) RVGE requiring outpatient visit (outpatient-RVGE), (3) RVGE requiring hospitalisation (inpatient-RVGE) and (4) RVGE-related death. Given the limited data, to map these events to the data reported in the literature, mild RVGE was considered equivalent to homecare-RVGE, moderate RVGE equivalent to outpatient-RVGE and severe RVGE equivalent to inpatient-RVGE.

A cross-sectional analysis over a 1-year period, during which the vaccination programme was in steady state, was conducted for children aged < 5 years, split into the following age groups: 0 to < 1 years old; 1 to < 2 years old; 2 to < 3 years old; 3 to < 4 years old; 4 to < 5 years old. Based on previous models built for this disease, it was assumed that no further infections would occur after 5 years of age [31, 32]. Adverse events due to the vaccine such as intussusception (IS) were not included in the model as HRV is not commonly associated with adverse events [31, 33,34,35]. In some settings, post-marketing surveillance has detected a small increased risk of IS shortly after the first dose [36]. However, in recently published surveillance data, the risk of IS after administration of HRV vaccine was not higher than the background risk of IS [37]. In addition, a recent systematic literature review on the economic evaluations of RV vaccines found that only 5% of the reviewed studies incorporated the incidence of vaccine-related adverse event and its cost into their analyses [38]. Given the limited IS risk associated with RV vaccine and the consequent trend in its economic evaluations, the current approach of excluding adverse events such as IS was deemed appropriate.

The primary outcome reported for the cost-utility analysis (CUA) was a discounted incremental cost-effectiveness ratio (ICER) comparing RV vaccination with HRV versus no vaccination. In the base case analysis, the results were reported per capita (children < 5 years old) from (1) a societal perspective (base case perspective), (2) a societal perspective excluding caregivers’ productivity loss and (3) a healthcare perspective, where only direct medical costs were considered.

A willingness-to-pay (WTP) threshold of 1.2 times the gross national income per capita [160,000 Thai baht (THB) per quality-adjusted life year (QALY) gained] was used to assess the cost-effectiveness of HRV vaccination compared with no vaccination [39].

Budget Impact Analysis

As recommended in the Thai HTA guidelines, a budget impact analysis (BIA) was performed in conjunction with the CUA [40]. The BIA estimated the budgetary impact of introducing HRV vaccination in Thailand for 5 years from 2019 to 2023. The change in net costs per year and the accumulated net costs across the whole period were reported from a government perspective, i.e. including only direct medical costs and yet excluding those associated with homecare-RVGE.

A budget impact > THB 200 million per year would refer to a “high” budget impact intervention [41]. In contrast, a budget impact ≤ THB 200 million per year would be considered “low” budget impact; hence, the inclusion of HRV in the national immunisation programme (NIP) would be considered favourable for the government.

Model Inputs

A structured literature review was conducted to identify recent and relevant local data. Where local data were unavailable, data from a neighbouring country, meta-analysis or systematic literature review were obtained. Input data used in the model are presented in Table 1. For the BIA, the same model inputs used in the CUA were used but two additional inputs were incorporated: (1) changes in birth rates and (2) all-cause mortality.

Table 1 Input data used in the base case cost-utility analysis and budget impact analysis

Epidemiological Data

The number of individuals in each age cohort used in the model was based on values reported in the Official Statistics Registration Systems in Thailand for 2017 [42] (Table 1).

Annual probabilities of RVGE incidence were estimated for each health state in the different age cohorts (Table 1). The estimates were derived from a cost-utility study on HRV, conducted as a part of an observational study in two provinces of Thailand [25, 26]. The reported incidence of inpatient-RVGE between 0 and 24 months was re-calculated to fit into the single-year age groups allowed in the model, and the reported incidence rates were converted to annual probabilities for use in the model [5, 43].

RVGE-related mortality was based on WHO data on childhood RV deaths in Thailand between 2000 and 2013 [44] (Table 1). Two previous publications on the cost-utility analyses of RV vaccination in Thailand reported RVGE-related mortality rates of 0.56 per 100,000 children in Muangchana et al. [24] versus 0.1 per 1000 live births in Chotivitayatarakorn et al. [23]. In view of this large variation in the local mortality data, the annual RVGE mortality of 3.4 [95% confidence interval (CI) 3.1–3.7] per 100,000 children < 5 years old, reported by the WHO [44], was estimated to be the most robust and thus used to calculate the total number of events in all age groups considered in the model. It is of note that this WHO estimate lies between the mortality rates used in Muangchana et al. and Chotivitayatarakorn et al. [23, 24]. As no age-stratified RVGE mortality data were available, age-stratified RVGE-related probabilities of death in the no-vaccination arm were estimated based on the proportion of inpatient-RVGE cases in the no-vaccination arm of each age group [26] (Table 1).

In addition to RVGE-related mortality, the budget impact model (BIM) also accounted for all-cause mortality across age groups in line with Thai HTA guidelines [40]. The figures were based on the Ministry of Public Health Statistics from 2016, the most recent data available in Thailand at the time of the analysis [45] (Table 1).

The natality rate was used in the BIM to calculate the number of new individuals to be included in each year [40]. The birth cohorts in Thailand between 2013 and 2017 were used to calculate an average rate of change in natality and thus to project the birth cohort size for the years 2019–2023 [42]. These projected birth cohorts entered the model for the 0–1 years old age group and progressed through the age groups, according to the year of the model (Table 1).

Vaccine Effectiveness

Although vaccine effectiveness is preferred to vaccine efficacy (VE) for the measurement of health outcomes according to Thai HTA guidelines, VE data were used in the base case as proxies for vaccine effectiveness because of limited effectiveness data available in Thailand. While vaccine effectiveness data were available from one observational study in Thailand, the only relevant reported data was the effectiveness against RVGE hospitalisations [25]. Hence, these data were not considered sufficient to use for the base case but were however explored in a scenario analysis.

Since no RV efficacy clinical trials were done for Thailand, the base case VE was derived from a clinical trial in China [46], both countries having comparable demographics and RVGE mortality [44]. Due to the limited end points reported, vaccine effectiveness against both homecare-RVGE and outpatient-RVGE were assumed to be equivalent to the reported VE against RVGE of any severity. VE against inpatient-RVGE was used as a proxy for the vaccine effectiveness against inpatient-RVGE. No RVGE-related deaths were reported in the trial and as such vaccine effectiveness against RVGE-related deaths could not be directly estimated from the trial. Hence, the upper bound of the 95% CI for VE against inpatient-RVGE was used to estimate the vaccine effectiveness against RVGE-related death. VE was assumed to be the same irrespective of the distribution of the RV genotypes (Table 1).

The VEs during the first and second season were used to estimate the vaccine effectiveness for the 0–1- and 1–2 years old age groups, respectively. Based on published studies, vaccine effectiveness was assumed to remain constant across all age groups > 1 years old [47,48,49]. These studies noted that VE was sustained up to the third year of life [49] and did not appear to decline with age in high socio-economic settings with a very low child mortality [47,48,49]. For Thailand, an upper-middle-income-level country with a low child mortality rate, the vaccine effectiveness was assumed to be sustained during years 2–5 post-vaccination [50,51,52]. Furthermore, it was expected that any uncertainty about vaccine effectiveness from year 3 onwards would have a minimal impact on the results due to the relatively low levels of RVGE incidence compared with the earlier years (Table 1).

Vaccination Coverage

The vaccination coverage was derived from the WHO Expanded Program on Immunization (EPI) fact sheet [53]. The 2016 figure of 99% for the third dose of DTP vaccine coverage was used to represent the proportion of the individuals in the HRV arm that would be vaccinated with a full course of HRV. In the base case BIA, the coverage was assumed to be sustained throughout the whole 2019–2023 period.

Duration of RVGE Clinical Events

The duration of each RVGE-associated event in the model was taken from Riera-Montes et al., a global systematic review and meta-analysis of RV disease severity in children (Table 1) [54]. As data on homecare-RVGE were not reported, it was assumed that they would be the same as duration for outpatient-RVGE.


Direct medical costs and direct non-medical costs, including transportation and meal costs, and productivity loss of caregivers, were considered for the CUA from the base case societal perspective. In the BIA, only direct medical costs associated with outpatient-RVGE and inpatient-RVGE were considered. Costs were inflated to year 2017, using relevant consumer price indexes as suggested by the Thai HTA guideline [55,56,57,58]. An annual 2017 exchange rate (THB 33.9385/USD) was applied [59] and costs were rounded to the nearest unit.

The cost of vaccination used in the model was THB 790 [US dollars (USD) 23] per course [THB 395 (USD 12) per dose], including the vaccine acquisition cost with Value Added Tax (7%) and distribution cost (2.5%) (HRV manufacturer) [25]. No vaccine administration cost was considered since healthcare professionals in Thailand are paid on a salary basis.

The base case estimates for direct medical costs for each event were based on figures from Muangchana et al., an economic study on RV vaccination previously conducted in Thailand [24] (Table 1). This source was deemed more appropriate for the base case analysis than a more recent publication by Tharmaphornpilas et al. [26] as the costs estimated by Muangchana et al. [24] (1) are nationwide estimates, while data in the more recent source were derived from one province only and (2) appear to be derived from government hospitals in Thailand. To fit the Muangchana et al. data into the model of the current analysis, it was assumed that (1) homecare-RVGE was equivalent to ‘treatment cost: drugstore’ from the published source; (2) outpatient-RVGE to ‘treatment cost before/after hospital care’ and ‘direct medical cost per outpatient case’; (3) inpatient-RVGE to ‘treatment cost before/after hospital care’ and ‘direct medical cost per inpatient case’. For RVGE-related deaths, no costs were applied, assuming that they were already considered in the other states of RVGE. Of note, the cost data from Tharmaphornpilas et al. [26] were explored in a scenario analysis.

Transportation and meal costs (direct non-medical costs) were based on Riewpaiboon et al., a study undertaken to generate a set of standard costs for use in health economic evaluations in Thailand [60]. Although highly conservative, they were deemed the most appropriate estimates for the current analysis given the variations in the country. One visit per event was assumed. In line with the HTA guidelines, which suggest using a human capital approach to value the caregivers’ time loss, independent of the individual’s characteristics, income or type of time (e.g., paid versus unpaid work), caregivers’ productivity losses were based on the cost of daily productivity loss from Saokaew et al. [61]. The cost data were averaged by age groups (15–29 and 30–39 years old), representing the age of a parent likely to have a child eligible for RV vaccination and then multiplied by the duration of each clinical event from Riera-Montes et al. [54] to obtain the total cost of caregivers’ productivity loss for each event (Table 1). Again, no direct non-medical costs for RVGE-related deaths were assumed for the reason detailed above.

Life-Year and QALY Loss

Health-adjusted life expectancy (HALE) was used to calculate baseline QALYs and then calculate QALY losses for premature deaths due to RVGE, using sources from the Official Statistics Registration Systems in Thailand for 2017 and WHO [42, 62,63,64]. HALE was considered the most appropriate estimate given the limited baseline QALY data available for Thailand and the assumption that the use of life-years (LYs) to represent baseline QALYs would overestimate QALY losses due to RVGE-related death. Baseline LYs were calculated based on the same data source [42, 62,63,64].

Utility weights for RV events other than death were derived from Rochanathimoke et al., which provided the most updated Thai-specific utility data [65]. Utility weight for mild RVGE was not available in Rochanathimoke et al.; hence, the non-RVGE utility for mild-severity patients was used for homecare-RVGE (considered equivalent to mild RVGE) since there were no significant differences between RVGE and non-RVGE utility within the other severity levels of the study. The difference between the reported utility weight and 1 (representing perfect health) was applied to the relevant number of days to calculate the QALY loss from these events [54] (Table 1).

Discount Rate

A discount rate of 3% was used for health outcomes only in the CUA [66]. No discounting was applied to the costs in the CUA as the costs in this cross-sectional analysis were considered only over a 1-year period. Sensitivity analyses were conducted using a range of discount rates between 0% and 6% for health outcomes [67]. In line with the Thai HTA guidelines and standard practice for BIMs, no discounting was applied in the BIA [40].

Scenario and Sensitivity Analyses

Cost-Utility Analysis

Scenario analysis on the model inputs for vaccine effectiveness and direct medical costs was conducted as Thailand-specific data were available from alternative sources to those selected in the base case. The rationale for choosing the base case inputs over these alternatives has been described earlier in the “Vaccine effectiveness” and “Costs” sections.

In the first scenario, the vaccine effectiveness of 88.0% for inpatient-RVGE, reported in an observational study in Thailand from Tharmaphornpilas et al. [25], was explored. Vaccine effectiveness for homecare-RVGE and outpatient-RVGE, not reported in the observational study, remained the same as in the base case. As done in the base case, the vaccine effectiveness of 94.0% was applied for RVGE-related death, derived as the upper bound of the 95% CI for vaccine effectiveness for inpatient-RVGE. In the second scenario analysis, the direct medical costs from Tharmaphornpilas et al. were used [26], where the costs for homecare-RVGE, outpatient-RVGE and inpatient-RVGE were estimated to be THB 89 (USD 3), THB 488 (USD 14) and THB 6711 (USD 198), respectively.

To assess the robustness of the CUA, a one-way sensitivity analysis and a probabilistic sensitivity analysis (PSA) were conducted. In the one-way sensitivity analysis, the key drivers of the CUA were identified by varying the input data by ± 15% or using the upper/lower bounds reported from the data sources, as presented in Table 2 [68]. In the PSA, a 15% variation from the mean value was used when the CI or standard deviation (SD) was not available for the input, with the distribution used depending on the type of variable (Table 2).

Table 2 Values used in one-way and probabilistic sensitivity analyses

Budget Impact Analysis

Given the uncertainty about the RV vaccination coverage rate to be reached in the first few years of introduction in the NIP, a scenario analysis was conducted to evaluate the impact of the vaccination coverage on the budget. In this scenario, the initial vaccination coverage was assumed to be 59.40% during the first year, followed by an exponential increase to 67.49%, 76.69% and 87.13% in the following years (year 2, 3 and 4, respectively) and reaching the base case target coverage level of 99.0% in the last year of the analysis.

Compliance with ethics guidelines

This article does not contain any studies with human participants or animals performed by any of the authors.


Cost-Utility Analysis

Base Case

RV vaccination with HRV resulted in a substantially lower number of RVGE-related events compared with no vaccination, with a 52% reduction in homecare-RVGE and outpatient-RVGE cases, a 73% reduction in inpatient-RVGE cases and a 96% reduction in RVGE-related deaths (Table S1).

In the base case of the CUA, the discounted ICER was estimated at THB 49,923 (USD 1471) per QALY gained from the base case societal perspective. As this ICER fell below the WTP threshold of THB 160,000 per QALY gained [39], it suggested that vaccination with HRV would be a cost-effective use of healthcare resources in Thailand. The other perspectives considered in the base case analysis also produced ICERs below the WTP threshold (Table 3; Table S1).

Table 3 Results of the cost-utility analysis: base case analysis from different perspectives and scenario analyses

Scenario and Sensitivity Analyses

The ICERs from the scenario analysis, one-way sensitivity analysis and simulations in the PSA all fell below the WTP threshold, as presented hereafter.

In both scenarios explored, the first one exploring local vaccine effectiveness from Tharmaphornpilas et al. [25] for inpatient-RVGE and the second one using direct medical costs data from Tharmaphornpilas et al. [26], the resulting discounted ICERs were below the WTP threshold of THB 160,000 per QALY gained. With an estimated ICER of THB 38,410 (USD 1132) and THB 25,037 (USD 738), respectively, they were even lower than the base case ICER estimate (Table 3). See also Table S2 in the electronic supplementary material for details.

The one-way sensitivity analysis further assessed the reliability of the analysis and provided the inputs having the greatest impact on the CUA results, in order: the health outcomes discount rate, vaccine effectiveness against inpatient-RVGE for the 0–1 years old age group and vaccination costs (Fig. 1). Nonetheless, the ICERs always remained below the WTP threshold of THB 160,000 per QALY gained. The cost-effectiveness acceptability curve from the PSA showed that, across all three perspectives, 100% of the simulations were below the WTP threshold of THB 160,000 per QALY gained (Fig. 2).

Fig. 1
figure 1

Tornado diagram for one-way sensitivity analysis. ICER incremental cost-effectiveness ratio, QALY quality-adjusted life year, RVGE rotavirus gastroenteritis, THB Thai baht, y years old

Fig. 2
figure 2

PSA results: a PSA scatter plot; b cost-effectiveness acceptability curve. PSA probabilistic sensitivity analysis, QALY quality-adjusted life year, THB Thai baht, WTP willingness to pay

Budget Impact Analysis

Base Case

In the base case, the total budget impact of HRV vaccination compared with no vaccination in the first year (2019) was projected to be THB 425,464,109 (USD 12,536,326), falling to THB 254,824,035 (USD 7,508,406) by 2023 (Table 4). Vaccination costs were a significant driver of this figure, while there were projected cost savings of THB 9,990,419 (USD 294,368) and THB 22,252,117 (USD 655,660) across costs for outpatient-RVGE and inpatient-RVGE in the first year, respectively (Table S3). The outpatient-RVGE and inpatient-RVGE cost savings were projected to increase each year because of the changing levels of RVGE incidence resulting from vaccination, while the vaccination costs were projected to decrease each year because of the decreasing size of the birth cohort. In all years considered, the annual budget impact was > THB 200 million, a threshold denoting an intervention considered to have a ‘high’ budget impact in Thailand [41].

Table 4 Base case and scenario results of the budget impact analysis

Scenario Analysis

With 59.40% coverage in the first year of the model (2019), the total budget impact of HRV vaccination compared with no vaccination was projected to be THB 255,278,465 (USD 7,521,796) (Table 4). As vaccine coverage increased each year in this scenario, vaccination costs were projected to increase each year, while costs for outpatient-RVGE and inpatient-RVGE were projected to decrease. Nevertheless, total budget impact was projected to marginally increase across 2019–2023. The budget impact in 2019 in this scenario was lower than in the base case because of the lower vaccination costs, but greater by 2023, when the target coverage had been reached; the offset in costs due to reductions in outpatient-RVGE and inpatient-RVGE costs was lower, as fewer individuals had been vaccinated in the model. The budget impact for each year was slightly greater than THB 200 million per year, ranging between THB 244,689,087 (USD 7,209,779) in 2020 to THB 281,311,984 (USD 8,288,875) in 2023. See also Table S4 in the electronic supplementary material for details.


The model used for the current analysis is a simple model that has recently not only been shown to reach similar conclusions as that of a more advanced model but also to be useful for countries with limited data [29, 30]. The current model is further modified and adapted to a Thai setting, incorporating available data into the model to improve the precision of the modelling (e.g., use of reported age-stratified RVGE incidence rather than assuming a linear decrease of RVGE events as a function of age).

This study demonstrates the cost-effectiveness of implementing an RV vaccination programme targeting children < 1 year old in Thailand. In the base case of the CUA, HRV vaccination results in a discounted ICER of THB 49,923 (USD 1471) per QALY gained from the societal perspective. The ICER predicted in this study suggests HRV to be cost-effective in Thailand, which is in line with the results of Chotivitayatakorn et al. and Tharmaphornpilas et al. along with its study report and most of the cost-utility studies conducted for upper-middle-income countries identified in a recent systematic literature review [23, 25, 26, 38].

The conclusions from the base case CUA remain consistent even when examined via scenario and sensitivity analyses. In all scenarios analysed, the estimated ICERs remain below the WTP threshold of THB 160,000 per QALY gained. The one-way sensitivity analysis shows that the key drivers of the model include: the health outcomes discount rate, vaccine effectiveness against RVGE requiring hospitalisation and vaccination costs. The PSA further emphasises the robustness of the conclusions, with all simulations across the three perspectives falling below the WTP threshold.

The BIA considers direct medical costs relevant for the government across 5 years and shows that introducing HRV vaccination would result in a substantial budget impact. This would be due to the vaccination costs, which would be somewhat offset by reductions in outpatient-RVGE and inpatient-RVGE costs. In the base case, the vaccination costs are shown to decrease each year because of the decreasing size of the birth cohort in Thailand, and the savings on outpatient-RVGE and inpatient-RVGE costs were shown to increase each year because of the reduced RVGE incidence as a result of vaccination. While the base case assumes target vaccine coverage of 99% from the first year, in the scenario analysis, vaccine coverage is assumed to start at a lower level in the first year and to increase until the target coverage is reached in the fifth year of the model. The scenario analysis projects the budget impact in the first year of the model to be lower than predicted in the base case of the model. In the base case, the budget impact is predicted to decrease each year. However, the budget impact in the scenario analysis, due to increasing uptake of the vaccine, is expected to rise each year over the 5-year period; the budget impact of HRV is dependent on the vaccine coverage rate. It is important to note that the budget impact is one among many other determinant factors of inclusion in the NIP.

One may consider that target coverage of 99% is not achievable for HRV vaccination. However, use of the second- or third-dose DTP vaccine coverage to estimate the overall RV vaccine coverage is a commonly adopted approach in health economics studies for RV vaccination, as seen in the previous Thai cost-effectiveness study [23]. This approach is based on the WHO recommendation to administer a two-dose HRV vaccine concomitantly with the first and second dose of DTP vaccine [6]. Indeed, a recent observational study conducted in two provinces of Thailand has reported similar coverages between the second dose of DTP vaccine and second dose of HRV vaccine [25]. The use of 99% target coverage also allows the current analysis to undertake a conservative approach by calculating the upper estimate of potential budget impact for Thailand.

The comprehensive scenario and sensitivity analyses conducted ensured that the uncertainty around model inputs was tested and showed the results of the analysis to be robust. However, despite its robustness, this analysis, like any other health economic analyses, has several limitations. Primarily, several assumptions are required given the limited data availability. For example, vaccine efficacy from a clinical trial conducted in China is used as a proxy for vaccine effectiveness in Thailand in the base case; RVGE of ‘any severity’ was assumed to be equivalent to homecare-RVGE and outpatient-RVGE, etc. Another limitation is associated with the utility weights for events other than death—the data source used observed mostly severe cases and the utility measurements were made on the first day of an episode. The utility weights potentially reflected a higher severity level than the severity of the whole episode and hence may have underestimated the utility values of the episodes. Also, due to the static nature of the model, herd immunity cannot be modelled. However, as this analysis is focused on when the vaccination programme is in steady state, with vaccine coverage of 99%, this is not anticipated to significantly impact the results. Nonetheless, the methodology was thoroughly validated by local clinical and health economics experts and cross-checked with the Thai HTA guidelines. For instance, regarding the above example of using vaccine efficacy derived from the clinical trial in China, this was discussed in depth and considered reasonable for both countries having comparable demographics and RVGE mortality.


The introduction of HRV vaccination as part of a UMV programme in Thailand is expected to be cost-effective. While a UMV programme would result in greater costs, fewer RVGE-related deaths and lower RV-associated QALY losses, the analysis showed that such a programme would represent good value for the money compared with the local Thai ICER WTP threshold.

The BIA shows that the introduction of HRV would represent a substantial budget impact, although there would be sustained annual savings on outpatient- and inpatient-RVGE costs. However, the vaccine coverage would influence the increase in vaccination costs and the reduction in outpatient- and inpatient-RVGE costs. As a result, the affordability of HRV would be highly dependent on the vaccine uptake. In addition, the budget impact is only one among other determinant factors to account for the decision of inclusion in the NIP.