To support policy making, we developed an initial model to assess the cost-effectiveness of potential strategies to increase influenza vaccination rates among children in China.
We studied on children aged 6 months to 14 years in four provinces (Shandong, Henan, Hunan, and Sichuan), with a health care system perspective. We used data from 2005/6 to 2010/11, excluding 2009/10. Costs are reported in 2010 U.S. dollars.
In comparison with no vaccination, the mean (range) of Medically Attended Cases averted by the current self-payment policy for the two age groups (6 to 59 months and 60 months to 14 years) was 1,465 (23∼11,132) and 792 (36∼4,247), and the cost effectiveness ratios were $ 0 (-11-51) and $ 37 (6-125) per case adverted, respectively. In comparison with the current policy, the incremental cost effectiveness ratio (ICER) of alternative strategies, OPTION One-reminder and OPTION Two-comprehensive package, decreased as vaccination rate increased. The ICER for children aged 6 to 59 months was lower than that for children aged 60 months to 14 years.
The model is a useful tool in identifying elements for evaluating vaccination strategies. However, more data are needed to produce more accurate cost-effectiveness estimates of potential vaccination policies.
Citation: Zhou L, Situ S, Feng Z, Atkins CY, Fung IC-H, Xu Z, et al. (2014) Cost-Effectiveness of Alternative Strategies for Annual Influenza Vaccination among Children Aged 6 Months to 14 Years in Four Provinces in China. PLoS ONE 9(1): e87590. doi:10.1371/journal.pone.0087590
Editor: Jianqing Xu, Fudan University, China
Received: June 21, 2013; Accepted: December 30, 2013; Published: January 31, 2014
This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.
Funding: This study was supported by the China-U.S. Collaborative Program on Emerging and Re-emerging Infectious Diseases. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Influenza can increase acute respiratory infections and hospital admissions, imposing a significant burden of illness among vulnerable groups including children. The World Health Organization (WHO) and many countries recommend annual influenza vaccines for children –. In 2003, the Chinese Ministry of Health issued the first guidance on seasonal influenza vaccination . Prior to the start of each influenza season since 2007, the Chinese Center for Disease Control and Prevention (China CDC) released annual seasonal influenza vaccination guidance recommending that children should be included in the priority population –. Nonetheless, the influenza vaccination rate among children in China remains low, in part due to a low level of available vaccine supply sufficient for 1.9% of the Chinese population .
China's influenza vaccination program is administered by the CDC system. Every year, local governments authorize local CDCs to purchase vaccine before the influenza season and deploy to vaccination clinics. These clinics are usually located in close proximity to the local CDC or other community health care centers, but not in hospitals. Patients have to pay for the vaccination, except in a few cities such as Beijing. The influenza vaccination policy has not been modified for many years because decision makers lack scientific evidence on the impact of alternative strategies.
The objective of this study is to present for public health policy makers, an initial model, using both available data and assumptions, to evaluate the cost-effectiveness of the current influenza vaccination policy in children as well as other alternative influenza vaccination strategies in China.
We built a spreadsheet-based model to evaluate the cost-effectiveness of current seasonal influenza vaccination policies in children aged 6 months to 14 years in four provinces (Shandong, Henan, Hunan, and Sichuan) in China. We also developed a methodology to evaluate the cost-effectiveness of using alternative strategies to increase the influenza vaccination coverage rate among children in China. All analyses are from the health care system perspective with the government as the payer. Our study focused on patients who attended government-run hospitals and clinics. Costs are reported in 2010 U.S. dollars. We did not discount any cost or health outcomes as each influenza season lasts less than one year.
Variables to estimate the number of cases
The population (P) for the model was census data for calendar year 2009 . Two age groups of children were analyzed, 6 to 59 months and 60 months to 14 years. See Table S1 in Appendix S1 for specific provincial population numbers.
We used five years of epidemiological data from the season 2005/06 to 2010/11 according to Chinese Influenza-Like-Illness (ILI) sentinel surveillance system, excluding the 2009/10 season which was influenza pandemic, causing an extraordinary public health response with large vaccination coverage . See Table S2 in Appendix S1 for specific seasonal and provincial numbers.
Number of outpatients and inpatients: We estimated the number of confirmed influenza outpatients among children using the following equation:
# confirmed influenza outpatients = rate of outpatient visits (p1)×rate of ILI cases in outpatients (p2) ×influenza positive rate among ILI (p3) ×population (P)
Data for the rate of outpatient visits for all causes (p1) (Table 1) came from the 4th National Health Services Survey , which asked for respondents' outpatient visits in the previous two weeks. Assuming the influenza season lasted for 24 weeks, we then multiplied the rate of outpatient visits in 2 weeks by 12 to get the overall rate of the influenza season.
The rate of ILI (p2) and influenza positive rate among ILI (p3) were from the Chinese ILI sentinel surveillance system, which records demographic, clinic visit and laboratory testing data by specific province.
We used the following equation to calculate the number of confirmed influenza inpatients:
# confirmed influenza inpatients = ((rate of outpatient visits (p1) × rate of ILI cases in outpatients (p2))/rate of ILI outpatients per Severe Acute Respiratory Infection (SARI) hospitalization (p4)) ×influenza positive rate among SARI cases (p5) ×population (P)
We used Chinese sentinel SARI surveillance data, from Oct 1, 2010 to Mar 31, 2011, to calculate the rate of ILI outpatients per SARI inpatient (p4) (Table 1). The SARI surveillance hospitals were also the ILI surveillance hospitals. Patients who met the SARI definitions  were eligible for enrollment and nasopharyngeal and throat swabs were collected for influenza viruses testing as described previously , . Once each SARI case is tested for influenza virus, we then have the influenza positive rate per 100 SARI cases (p5).
Number of cases adverted: We collected the age and province specific influenza vaccination coverage rate for seasons 2010/11 and 2011/12 from telephone surveys conducted by China CDC in 2011 (Table 1 and Table S3 in Appendix S1) . We also used the annual sales of influenza vaccine to estimate the coverage rate for season 2005/06 to 2008/09, and assumed the coverage rate was the same for children in both age groups.
In this study we used the health outcome of Medically Attended Cases (MAC), excluding those who do not seek medical care in public health facilities.
We applied the following equation to generate the number of cases averted:
# cases averted (both outpatient and inpatient) = (# confirmed influenza outpatients + # confirmed influenza inpatients)/(1 – % vaccine coverage×% vaccine effectiveness) ×% vaccine coverage×% vaccine effectiveness
Variables used to estimate the economic impact of vaccination
Program and vaccine cost: Data were not available on the programmatic cost of the influenza vaccination program in China. However, the Expanded Program of Immunization (EPI) system shares the same management system with the influenza vaccination program and those data are documented in previous reports . The programmatic cost of the EPI system per dose per child was $ 1.69, including staff payment at provincial, prefecture and county level, program operation (i.e. advertisement, training, and monitoring), logistics, and cold-chain (Table 2).
In China, influenza vaccines are purchased from both domestic and international suppliers. We assumed that vaccine cost was the same as the purchase price. In season 2010/11, the mean (range) government purchase price of influenza vaccine for children was $ 3.20 (2.89–3.38) for domestic suppliers and $ 6.59 (6.43–6.75) for international suppliers.
Based on sales from 2010/11, we estimated that 78% of the vaccines purchased were from domestic suppliers and 22% were from international suppliers . Therefore our weighted average of government purchase price was $ 3.95.
Under the current policy, patients pay $ 4.52 (3.94–4.87) for domestic vaccine and $ 9.49 (8.57–9.65) for vaccines produced by international companies (authors' unpublished data), with a weighted average of $ 5.61 in the four provinces.
We used the following equation to determine the cost of the influenza vaccination program to the government (per child per dose) under the current self-payment policy:
Cost of influenza vaccination program to the government (per child per dose) = Programmatic cost per child per dose + cost of influenza vaccine per dose to government - price paid by parents per dose = $1.69 + $3.95 − $5.61 = $ 0.03.
Cost of illness (Outpatient and inpatient costs): We used the health care system perspective with the government as the payer. Our study focused on patients who attended government-run hospitals and clinics, and we only included the cost borne by the health care system. We did not include patient co-payments, direct non-medical cost and lost productivity.
The cost of confirmed influenza outpatient and inpatient cases for children aged 6 months to 14 years was estimated $ 11.28 and $ 284.44, respectively. The estimated reimbursement rate from the survey was 19.25% for children. Parents paid the remainder. Therefore, the health care system paid $2.17 per outpatient case and $54.67 per inpatient case. The estimated cost and reimbursement rate was based on a survey .
Cost-effectiveness analysis of the current policy
Expected costs, outcomes, and cost effectiveness ratios (CERs) were calculated in the spreadsheet model for each of the four provinces and the two age groups from season 2005/06 to 2010/11, excluding season 2009/10. CERs were reported as cost per case averted for the current influenza vaccination program compared with no vaccination.
We used historical data on clinical visits and vaccination coverage rates in the four provinces as the best available data to model the natural fluctuation of influenza prevalence and vaccination coverage rate.
The equation below was used to calculate the CERs:
$ Cost per case adverted = Net cost/# cases averted = ($ cost of influenza vaccination program –$ health care cost saved)/# cases averted
Evaluation of alternative strategies to increase vaccination rate
We also used this model to evaluate the cost-effectiveness of alternative strategies.
Price and demand curve: To explore the impact on demand due to change in vaccine price to parents, we drew a price and demand curve (Figure 1). Given that the Beijing public health authority began to subsidize influenza vaccination for school children in 2007 and to provide free influenza vaccination to school children in 2009 , we compared vaccination coverage rates in Beijing before and after subsidy and free vaccination. We also analyzed vaccine coverage rates in Sichuan pre- and post-pandemic to illustrate the effects of other factors, since there was no change in price.
This figure used data of vaccination coverage rate and vaccine price to the parents in Beijing and Sichuan Province from season 05/06 to 11/12, excluding 09/10 the pandemic season. Beijing initiated an influenza vaccination subsidy policy for children and the elderly in 2007 and 2008, and has provided free influenza vaccine for children and the elderly since 2009.
OPTION description and assumptions: Experience from other countries suggests that measures such as providing vaccination reminders, sending free vaccination vouchers to parents, and expanding vaccination sites could increase influenza vaccination rates –. We constructed two alternative OPTIONs for increasing vaccination rates based on these experiences with adjustment for the Chinese situation.
OPTION One is a telephone reminder to parents of targeted children for influenza vaccination. For example, staff in the EPI system can call parents before influenza season, reminding them to bring their children for influenza vaccination. To capture different levels of impact by this measure, we assumed this could increase the vaccination rate by 5%, 10%, and 15%. We also assumed that the current system could absorb a 5% and 10% increase in vaccination rate, and the program cost per child was assumed to be the same as prior. When the vaccination rate increased by 15%, we assumed that the current system would require additional resources to meet the demand, so the programmatic cost per child would be 1.5 times prior cost (Table 3).
OPTION Two is a comprehensive package consisting of providing vouchers for free vaccination, and expanding vaccination sites to include hospitals. We assumed that this comprehensive measure could increase the vaccination rate by 10%, 15%, and 25%, and the programmatic cost with this measure was assumed to be the same as prior, 1.5 times, and 2.5 times prior cost, respectively.
To meet the increasing demand of vaccination clinics caused by the increase in vaccination rate, we assumed that in OPTION Two, vaccination sites will be expanded in hospitals in the following order: (1) general hospitals for a 10% increase in vaccination coverage rate, (2) further expanded to half of traditional and specialized hospitals for a 15% increase, and (3) to all hospitals for a 25% increase (Table 3) . We assumed there will be one nurse working in each vaccination site.
Incremental cost effectiveness ratio: We then used the spreadsheet-based model to calculate the incremental cost effectiveness ratio (ICER) for each option, compared with the current situation of the self-payment policy using the formula below:
ICER (for different options, age groups, and provinces) = $ incremental net cost/# incremental cases averted = ($ incremental cost of influenza vaccination program – $ incremental cost of health care saved)/(# cases averted by the option – # cases averted in current situation)
Although we examined the impact of a wide range of values for a number of critical inputs (Tables 1 and 2), the spreadsheet model allows a user to further explore the impact of changes in input values, either as assumptions or as additional data from the field becomes available.
The study was reviewed and approved by the Chinese Center for Disease Control and Prevention Institute Review Board which is registered with the Office for Human Research Protections (active no. in 2012 was IRB 00005183) and has a US Federal Wide Assurance (FWA 00002896). As a study on in-hand surveillance and survey data with no personal contact and no collection of personal data, the Chinese Center for Disease Control and Prevention Institute Review Board waived the need for written informed consent from the individuals.
The mean (per season) MAC averted for the two age groups (6 to 59 months and 60 months to 14 years) was 1,465 (range: 23∼11,132) and 792 (36∼4,247), respectively, during the studied five influenza seasons (Table 4).
The cost of the influenza vaccination program to government for the two age groups was $ 6,983 and $ 17,918, and the CER was $ 0 (−11∼51) and $ 37 (6∼125) per case adverted, respectively (Table 4). For age group 6–59 months, the vaccination program was cost-saving in Henan and Hunan in all studied seasons, in Shandong in season 05/06 and 10/11, and in Sichuan in season 10/11. For age group 60 months to 14 years, it was not cost saving in any season.
OPTION One would cost an additional $ 0.17 per child per dose for 5% and 10% increased vaccination rate, and $ 1.02 per child per dose for 15% increased vaccination rate. While OPTION Two would require an additional programmatic cost of $ 0.73, $ 0.84, and $ 1.18 for 10%, 15%, and 25% increased vaccination rate, respectively, including the cost of printing vouchers and staff payment for nurses working in the expanded vaccination sites in hospitals (Table 5). OPTION Two also assumes that the government is paying for the vaccine, which means an additional $3.95 per child per dose.
The additional net cost of OPTION One for 5% and 10% influenza vaccination rate increase was more than $ 2.5 million for both age groups. The additional net cost of OPTION One for a 15% increase in the 60 months to 14 years age group was around $ 3.9 million, more than triple that for the 6–59 months age group (approximately $ 1.1 million) (Table 5).
The additional net cost of OPTION Two was much higher than that of OPTION One. The mean additional net cost of OPTION Two was around $ 9–12 million and $ 26–40 million for the 6–59 months and 60 months to 14 years age group, respectively (Table 5).
Health Outcomes: The additional numbers of MAC averted by OPTION One for the 6–59 months age group were 6,518 for a 5% increase in influenza vaccination rate, 6,829 for 10% increase, and 7,139 for a 15% increase, around double that of the 60 months to 14 years age group. Similar results were found for numbers of MAC averted by OPTION Two for both age groups (Table 5).
Cost Effectiveness: In comparison with no vaccination, the mean (range) of MAC averted by the current self-payment policy for the two age groups (6 to 59 months and 60 months to 14 years) was 1,465 (23∼11,132) and 792 (36∼4,247), respectively, during the studied five influenza seasons. The total influenza vaccination program cost to government for the two age groups was $ 6,983 and $ 17,918, and the CER was $ 0 (−11∼51) and $ 37 (6∼125) per case adverted, respectively. In comparison with the current policy, the ICER of alternative strategies, OPTION One-telephone reminder and OPTION Two-comprehensive package, decreased as influenza vaccination rate increased. For instance, the highest ICER for OPTION One was $28,118 at a vaccination rate of 5% for children aged 60 months-14 years, but as the vaccination rate increased to 15% the ICER was reduced to $5,838. In OPTION Two, the highest ICER was found to be $113,757 for children 60 months-14 years at a vaccination rate of 10%, but when the vaccination rate increased to 25% the ICER decreased to $36,279. In both OPTIONs, it is concluded that vaccinating children aged 6–59 months is more cost-effective than vaccinating older children (Figure 2). The province specific cost effectiveness of the two OPTIONs is in Table S6 in Appendix S1.
OPTION One includes a single telephone vaccination reminder. OPTION Two includes comprehensive measures of free vaccination voucher, and expanding vaccination sites in hospital clinics. The bars in each column shows the ranges due to differences in input values such as rates of influenza like illness (ILI), vaccine effectiveness, and program costs (c.f., Tables 1 and 2).
Under the current situation, the influenza vaccination program is more cost-effective among children 6 to 59 months than children 60 months to 14 years old. It costs $0 ($-11∼$51) per case averted among children aged 6–59 months, while it costs $37 ($6∼$125) among children aged 60 months to 14 years old per case averted. Cost-savings was observed among children 6–59 months when the influenza virus was more active and the vaccination rate was relatively high.
The price and demand curve (Figure 1) illustrated that reducing the price of influenza vaccination to parents has a limited effect on increasing the vaccination rate. Alternative strategies are needed in order to increase coverage and thus prevent more influenza cases and related economic loss. Our model was built to demonstrate the potential impact of various policy options.
Both alternative OPTIONs demonstrated in our model had a broad range of ICERs, OPTION One-sending reminder ranged from $590 to $28,118, while OPTION Two-comprehensive measures ranged from $3,753 to $ 113,757.
Switching from the current policy to the alternative OPTION would dramatically increase the vaccination program cost, from $0.03 to more than $5.64 per person per dose at the highest. It requires a significant expenditure. Meanwhile, health care cost saved from additional case averting was relatively low. The estimated cost of influenza outpatient and inpatient was $11.28 and $284.44, which was much lower than that in other countries. Furthermore, the current reimbursement rate of health insurance for children in the four provinces was estimated 19.25% based on a survey . So we anticipate that in places with higher medical cost or better health insurance coverage, an influenza vaccination program will save more health care costs.
The health care utilization pattern revealed in this study may also be the reason for the relatively small number of MAC cases averted. There appeared to be a higher rate of visits to the hospital among patients with severe disease than mild. The rate of outpatients per hospitalization is notably low (i.e. one hospitalized SARI case per 6–9 outpatients) compared to the rate of other countries. For example, in the U.S. the rates of outpatient visits and hospitalizations vary greatly by age and season. The risk of hospitalization for 6–23 month old children, given an outpatient visit, can vary, from one hospitalization for every 18 to 42 outpatient visits. Among older children, where the risk of hospitalization drops, the rate can increase to 52 –.
The wide range of ICERs of the two alternative OPTIONs(mean range of two OPTIONs: $1,600∼$87,908) were associated with the large variability in the four provinces, in terms of population size, social economic level, health service utilization, influenza prevalence, influenza vaccination coverage rate, etc. It indicated that in a country with huge disparities like China, decision-making may require more specific data to account for different situations. Our model allows for more precise estimates of influenza prevalence, vaccine effectiveness, disease associated medical costs, and increase in vaccination coverage rate by options and other inputs. It is not limited to the illustrated OPTION One and OPTION Two. It can be a useful tool for evaluation of other alternative strategies, as well as among other populations.
There are a number of limitations to this study, mostly due to lack of available data. We again stress that the objective of this study is to help public health officials assess the value of both investing in such potential programs, as well as collecting additional data to replace the assumptions used here. Although there is vast literature on the epidemiology of influenza, specific data were not always available, thus we had to make some assumptions. For example, to estimate the number of cases, we assumed that outpatient visit (p1) was constant throughout the year. It is possible that there is a seasonal pattern to this value, with an increase during influenza circulation months, which would increase our estimate of influenza cases. On the other hand, we used 24 weeks for the influenza season, which may overestimate the rate of cases seeking medical care for influenza.
Also, the cost of illness from the survey may be biased since study participants came from SARI sentinel surveillance hospitals and most were severe cases. However, it was much lower than the $624 per hospitalized case reported in the Suzhou study . The difference may be influenced by local economics as our study sites are less developed than Suzhou. If hospitalization cost in our model increased to $624 (the governmental cost would increase from $54.67 to $120.12), we would have lower ICERs. It implied that in places with higher economic burden of influenza, the vaccination strategies could be more cost-effective.
Our model is a static model, which does not take into account an intervention's impact upon onwards transmission. This model only incorporates the direct effect of a vaccine, that of protecting an individual from getting sick, whereas a dynamic model (e.g. an ordinary differential equation model) will take into account onwards transmission. Hence, this model is used as a tool to communicate to policy-makers the various options available and their relative impact. Its strengths include the fact that it is relatively simple and easy-to-understand, despite its many limitations.
Furthermore, we used the perspective of the health care system, which only captured the cost and benefit to the health care system. Many studies have shown that lost productivity due to influenza infection among children is substantial ; therefore, a more comprehensive societal viewpoint may lead to different cost-effectiveness ratios.
The spreadsheet-based model we developed is a useful tool in identifying the elements for the cost-effectiveness analysis of using alternative strategies to increase influenza vaccination coverage rate in children. However, to produce more accurate estimates of cost-effectiveness among vaccination policies, more data are needed.
File includes Tables S1-S4. Table S1. General information of the five provinces/municipalities. This table provides general information, including areas, overall population, GDP per capita and population aged 6 months to 14 years, of the five provinces (the four studied province Shandong, Henan, Hunan, Sichuan and the compared municipality Beijing). Table S2. Epidemiologic inputs by province, season, and age group. This table showed the epidemiologic inputs that were used to calculate case numbers by province, season and age group from season 05/06 to 10/11, excluding 09/10 the pandemic season. Table S3. Current situation: influenza vaccination coverage rates among target populations by province, season and age group, influenza vaccine effectiveness by season for all ages. This table used data of vaccination coverage rate and effectiveness of influenza vaccine by province from season 05/06 to 11/12, excluding 09/10 the pandemic season. Table S4. Number of influenza cases and cases averted by vaccination program. It showed the calculation results of number of cases and cases averted by the vaccination program, comparing with no vaccination, from season 05/06 to 10/11, excluding 09/10 the pandemic season. Table S5. Current situation: Cost effectiveness of influenza vaccination program in season 05/06-10/11, 09/10 not included; by province, season and age group. Demonstration of results on cost- effectiveness of comparing the current pay-out-of-pocket policy with no vaccination. Table S6. A: cost-effectiveness of OPTION 1-reminder, by province and age group. Demonstration of results on cost-effectiveness of comparing the current situation with two OPTIONS: OPTION 1 reminder and OPTION 2- sending free influenza vaccination voucher and expanding vaccination sites.
We thank Sichuan, Hunan and Shandong provincial CDC and sentinel surveillance hospitals for providing assistance on economic data collection; and the Office for Respiratory Infection Disease Control and Prevention, Division of Infectious Disease, and the China CDC for providing assistance on epidemiological data collection. We would like to thank Dr. Rebekah H. Borse formerly employed at U.S. CDC Atlanta, currently working at Merck Pharmaceuticals for advice on the development of model and manuscript draft preparation. We would like to thank Dr. Manjunath Shankar at the U.S. CDC Atlanta for his advice on certain aspects of the model. We would also thank Jeffery McFarland and Song Ying in U.S. CDC China for providing valuable contributions during the course of the project and Carrie Reed from the Influenza Division at the U.S. CDC Atlanta for helping with the influenza vaccine effectiveness data collection. Lastly, we acknowledge Serena Fuller in U.S. CDC for helping with the manuscript editing.
Conceived and designed the experiments: LZ ZJF. Performed the experiments: LZ SJS CYA ICHF MIM. Analyzed the data: LZ SJS CYA ICHF MIM. Contributed reagents/materials/analysis tools: LZ SJS CYA ICHF MIM. Wrote the paper: LZ. Interpreted the findings, commented on and helped revise drafts of the manuscrip: SJS MIM ICHF CYA. Assisted in data collection and management: ZX TH SXH XJW.
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