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Comparison of the cost of illness of primary liver cancer between Japan and Taiwan

Abstract

Background

Primary liver cancer (PLC) is the fifth and second leading cause of death in Japan and Taiwan, respectively. The aim of this study was to compare the economic burden of PLC between the two countries using the cost of illness (COI) method and identify the key factors causing the different trends in the economic burdens of PLC.

Materials and methods

We calculated the COI every 3 years using governmental statistics of both countries (1996–2014 data for Japan and 2002–2014 data for Taiwan). The COI was calculated by summing the direct costs, morbidity costs, and mortality costs. We compared the COIs of PLC in both countries at the USD-based cost. The average exchange rate during the targeted years was used to remove the impact of foreign exchange volatility.

Results

From 1996 to 2014, the COI exhibited downward and upward trends in Japan and Taiwan, respectively. In Japan, the COI in 2014 was 0.70 times the value in 1996, and in Taiwan, the COI in 2014 was 1.16 times greater than that in 1996. The mortality cost was the greatest contributor in both countries and had the largest contribution ratio to the COI increase in Japan. However, the direct cost in Taiwan had the largest contribution ratio to the COI decrease.

Conclusions

To date, the COI of PLC in Japan has continuously decreased, whereas that in Taiwan has increased. Previous health policies and technological developments are thought to have accelerated the COI decrease in Japan and are expected to change the trend of COI of PLC, even in Taiwan.

Background

Primary liver cancer (PLC; International Disease Classification 10 code C22) is an important disease in Asia. PLC is the fifth leading cause of death (the fourth among males and the sixth among females) in Japan [1] and the second leading cause of death (the second among both males and females) in Taiwan [2]. Most cases of PLC are caused by chronic hepatitis B virus (HBV) or hepatitis C virus (HCV) infection [3,4,5]. PLC caused by chronic HCV infection is predominant in Japan, whereas HBV infection is the more predominant cause of PLC in Taiwan [6, 7].

Although PLC is an important cause of death, to date, few studies have attempted to estimate the total economic burden of PLC or other liver diseases in both countries. Several studies have assessed the economic burden of liver diseases in East Asian countries [8,9,10,11]; however, only our studies have investigated the burden in Japan [12, 13]. Moreover, no studies have examined the burden of liver diseases in Taiwan.

In this study, we calculated the economic burden of PLC in Japan and Taiwan over time using the cost of illness (COI) method, which included direct costs (DC) and indirect costs (IC), including opportunity cost due to disease and death. This study also focused on key factors leading to different economic burden of PLC trends between the two countries.

Methods

In this study, the COI method proposed by Rice et al. was used to investigate the economic burden of PLC in Japan and Taiwan [14,15,16,17,18,19,20]. To survey the trend of the COI, available governmental data were used (1996–2014 data for Japan and 2002–2014 data for Taiwan). For the Japanese COI, we used the same data set that was used in a previous study [21] and re-calculated the COI for comparison with the Taiwanese COI.

The COI includes both direct costs (DC) and indirect costs (IC), and the IC include morbidity costs (MbC) and mortality costs (MtC). The COI was calculated using the following equation:

$$ \mathrm{COI}=\mathrm{DC}+\mathrm{MbC}+\mathrm{MtC} $$

where DC refers to the medical costs that arise directly as a result of the disease, such as the costs of treatment, hospitalization, testing and drugs. We calculated the annual medical costs in Japan based on the total medical expenses using the Survey of National Medical Care Insurance Services [22]. For the Taiwanese annual medical costs, we first calculated the ratio of medical benefit payments for PLC to the total medical benefit payments using the National Health Insurance Annual Statistics [23] and calculated the direct cost of PLC by multiplying the ratio and the total medical expenses in Taiwan.

MbC refers to the loss of opportunity costs resulting from hospitalization and visits to the hospital. MbC was calculated using the following equation:

$$ \mathrm{MbC}=\mathrm{TO}{\mathrm{V}}_{\mathrm{y}}\times \frac{\mathrm{L}{\mathrm{V}}_{\mathrm{d}}}{2}+\mathrm{THD}\times \mathrm{L}{\mathrm{V}}_{\mathrm{d}} $$

where TOVy refers to the total person-days of outpatient visits, LVd refers to the 1-day labour value per person, and THD refers to the total person-days of hospitalization. The TOVy and THD were calculated according to gender and 5-year age groups in Japan based on the patient survey [24], and those in Taiwan were calculated based on the National Health Insurance Annual Statistics [25]. The labour values in Japan were calculated according to 5-year age groups using the Basic Survey on Wage Structure, Labor Force Survey, and Estimates of Monetary Valuation of Unpaid Work [26,27,28], and the labour values in Taiwan were calculated using the Manpower Survey [29]. There are no data regarding unpaid work in Taiwan. Accordingly, unpaid work was estimated by multiplying the Taiwanese formal labour value by the Japanese ratio of monetary value of unpaid work to the formal labour value. LVd and THD were calculated as follows:

$$ \mathrm{L}{\mathrm{V}}_{\mathrm{d}}=\frac{\left({\mathrm{I}}_{\mathrm{y}}+\mathrm{UL}{\mathrm{V}}_{\mathrm{y}}\right)}{365} $$
$$ \mathrm{THD}=\mathrm{H}{\mathrm{P}}_{\mathrm{y}}\times \mathrm{ALOS} $$

where Iy refers to the annual income per person, ULVy refers to the annual monetary valuation of unpaid work per person, HPy refers to the annual number of hospitalized patients, and ALOS refers to the average length of stay.

MtC was measured as the loss of human capital (human capital method), which was calculated using the following equation:

$$ \mathrm{MtC}=\mathrm{N}{\mathrm{D}}_{\mathrm{y}}\times \mathrm{LVl} $$

where NDy refers to the number of deaths, and LVl refers to the lifetime labour value per person. We calculated LVl by summing the income that could have been earned in the future if death had not occurred. The future labour value was adjusted to a present value using a 2% discount rate because 2% is recommended by Japanese guidelines for economic evaluation of healthcare technologies [30]. For these calculations, we used the Basic Survey on Wage Structure, Labor Force Survey, and Estimates of Monetary Valuation of Unpaid Work [26,27,28] for Japan and the Manpower Survey [29] for Taiwan. For NDy, we used the number of deaths due to PLC according to gender and 5-year age groups from Vital Statistics [1] for Japan and the Cause of Death Statistics [31] for Taiwan.

The COIs of PLC in both countries were compared at the USD-based cost. The average exchange rate during the targeted years was used to adjust for the impact of foreign exchange volatility.

Results

Table 1 shows the trends in the COI and health-related indicators in both countries. In 2014, the COI in Japan was calculated as 607.2 billion Japanese yen (JPY) (5.69 billion USD), and the COI in Taiwan was calculated as 25.8 billion New Taiwan dollars (NTD) (0.80 billion USD). The contributions of DC, MbC, and MtC to the COI were 131.6 billion JPY (27.1%), 18.5 billion JPY (3.0%), and 457.1 billion JPY (75.3%) in Japan and 8507.5 million NTD (33.0%), 367.9 million NTD (1.4%), and 16,879.4 million NTD (65.5%) in Taiwan, respectively. MtC was the greatest contributor in both countries. The COI continuously decreased from 1996 to 2014 with an annual percent change (APC) of − 2.0%, resulting in a 0.70-fold decrease in Japan. However, the COI continuously increased from 2002 to 2014 with an APC of 1.3%, resulting in a 1.15-fold increase in Taiwan. In Japan, DC increased until 2002 and gradually decreased thereafter; MbC decreased since 1999; and MtC, which accounted for more than 70% of the COI, decreased since 2002. The contribution ratio of MtC to the total COI decrease was 106.9%. In Taiwan, DC continuously increased until 2014; MbC increased until 2011 and decreased thereafter; and MtC slightly decreased. DC had the highest contribution ratio to the total COI increase of 116.5%.

Table 1 The time trend of cost of illness (COI) of liver cancer

The decreased MtC was the primary factor contributing to the decrease in the total COI in Japan. NDy decreased by 8.2% from 32,169 in 1996 to 29,541 in 2014. Moreover, the MtC per person continuously decreased by 31.7% from 22.7 million yen in 1996 to 15.5 million yen in 2014. Although DC decreased from 2002 to 2014, the unit cost increased; the hospital cost per day increased by 1.43 times, and the outpatient cost per visit increased by 2.15 times. However, the total DC decreased because of large decreases in the ALOS, number of inpatients, and number of outpatient visits. However, the increased DC was the primary factor contributing to the increase in the total COI in Taiwan. The unit hospital costs and inpatient costs increased by 1.96 times and 1.36 times, respectively. Moreover, the number of inpatients and outpatients increased. In contrast to Japan, the MtC in Taiwan was nearly stable due to an increase in NDy despite the decrease in MtC per person.

The decreases in the MtC per person in both countries were influenced by the increased average age of death. During the targeted period, the percentage of deaths among persons aged over 65 years increased from 63.1 to 86.9% in Japan, and the average age of death also increased from 67.9 years to 75.8 years. The percentage of deaths among persons aged over 65 years in Taiwan also increased from 52.4 to 60.5%, and the average age of death increased from 63.6 years to 67.8 years. The increased percentage of aged deaths decreased the MtC per person because the human capital value of elderly persons is lower than that of younger people. The ageing of the dead advanced more rapidly, which may explain the difference in the MtC trends between the two countries.

The MtC per person in both countries decreased because of an increase in the average age of death. Thus, the MtC in Japan remarkably decreased (APC: − 2.72%) due to the decrease in NDy, whereas the MtC in Taiwan slightly decreased (APC: − 0.44%), which was offset by the increase in NDy. The main factors affecting the change in NDy were the trends of the mortality rates of each age group and the ageing of society. In both countries, the older age groups had higher mortality rates, and this tendency was observed during the targeted period. The mortality rate of most age groups had a downward tendency; however, the mortality rate of the over 75 year group was stable in Japan. However, while the mortality rate of most age groups in Taiwan had a downward tendency (similar to Japan), the mortality rate of the over 75 year group had an upward tendency (from 209.9 per 100 thousand persons in 2002 to 226.8 per 100 thousand persons in 2014). In addition to the change in the mortality rate, the ageing of society had a great influence on NDy. The percentage of older age groups with higher mortality rates increased in both countries. Thus, the mortality rate effect in Japan outweighed the ageing effect, and the NDy decreased, whereas the mortality rate effect in Taiwan was outweighed by the ageing effect, and the NDy increased.

Regarding DC, the unit costs (hospital cost per day and outpatient cost per visit) increased in both countries; however, THD and TOVy increased in Taiwan, resulting in a continuous increase in DC, whereas THD and TOVy decreased in Japan, resulting in decreases in DC since 2002. The increases in THD, TOVy and NDy in Taiwan reflect increased incidence. The incidence of PLC in Japan has decreased since 2008; however, the incidence in Taiwan continued to increase until 2014.

Fig. 1 and Fig. 2 show the COI trends in both countries. The data in both figures were converted to USD using the average exchange rate during the targeted periods to adjust for the influence of foreign exchange volatility. Figure 1 shows the total COI of PLC trends in both countries. Because of the differences in the population size, the Japanese COI was 7 times greater than that of Taiwan in 2014. Figure 2 shows the COI trends per capita, which had a downward tendency in Japan and an upward tendency in Taiwan. The COI per capita in Japan was 1.5 times higher than that in Taiwan.

Fig. 1
figure 1

The trend of COI

Fig. 2
figure 2

The trend of COI per capita

Discussion

COI of PLC per capita in both countries was 44.8 USD in Japan and 34.8 USD in Taiwan in 2014. It is necessary to be careful in comparing COIs per capita of both countries without considering the economic conditions and differences in medical systems of each country, but more important issue is the comparison of the COI trends of both countries. COI has been declining in Japan since 2002, while it has been increasing in Taiwan until 2014. This was considered to reflect the trends in the number of deaths and morbidity in both countries.

However, it is considered that there is no big difference in the treatment contents for PLC between the two countries. The treatment method for PLC differs depending on the situation and the degree of progression, but the 5-year survival rate has been shorter than that of other cancers. As for early stage cancer, liver transplantation was first treated in Taiwan in 1984 and Japan in 1986, respectively, but the proportion of liver transplantation for the treatment of early stage PLC is limited in both countries. Liver resection remains the primary treatment. As for advanced hepatocellular carcinoma, the result of randomized control trial of Sorafenib in the Asia-Pacific region was reported in 2009 [32], and the molecular target drug Sorafenib has been approved in both countries and has become the standard treatment [33]. In recent years, the effectiveness of immune checkpoint inhibitors such as Nivolumab has also been confirmed.

Given that there is no significant difference in PLC treatment between the two countries, the difference in the number of deaths and patients between the two countries may be due to the morbidity of viral hepatitis, which accounts for most of the causes of PLC. The decreased incidence of PLC in Japan was probably caused by health policies targeting HBV and HCV, accounting for 80% of patients with PLC [34]. Regarding HBV, in 1986, the Japanese government initiated a nationwide hepatitis B screening and immunization programme for infants born to HBV carrier mothers. The number of HBV carriers since the 1986 birth cohort has remarkably decreased. Anti-HCV screening of blood products has also been performed since 1989, and the use of nucleic acid technology to screen for HCV RNA was initiated in 1999. Medical treatments against hepatitis, such as interferon therapy, interferon + ribavirin therapy, and peg-interferon therapy, have also been developed [35]. Moreover, the appearance of DAA (direct acting antivirals) remarkably improved the therapeutic effect [36]. In Japan, DAAs, which are quite expensive, are covered by national health insurance, and accessibility to DAA is good. These treatments are effective, especially for HCV, and are considered responsible for the decreased PLC incidence since 2008.

The Taiwanese government also began a mass immunization programme among new-born babies against HBV in 1984. The programme was expanded to all people younger than 20 years in 1991. In addition, the national viral hepatitis therapy programme was launched in 2003 with noticeable effects [37,38,39].

The differences in the trends of PLC incidence despite such policies are attributed to the difference in the hepatitis types. PLC caused by chronic HCV infection is predominant in Japan, whereas HBV infection is the predominant cause of PLC in Taiwan. The therapeutic approach to HCV has recently rapidly progressed. Compared with HCV therapy, the therapeutic approach to HBV has slowly improved. This difference in progress is thought to be related to the different trends of PLC incidence between the two countries. However, the age-adjusted incidence in Taiwan has also decreased. Taiwan has already attained universal HBV vaccination, and similar to Japan, the number of HBV and PLC patients is expected to decrease.

This study was not without limitations. Firstly, COI is a simple and convenient approach that measures the burden of disease in terms of monetary cost, but nevertheless it is difficult to make a direct comparison between different countries. In this study, the COIs of both countries were displayed in US dollars using the average exchange rate during the observation period, but the USD terms of the COIs of both countries changes depending on which kind rate is used. In this study, we focused on what kind of trends COI is showing and whether there are differences in the proportions of costs that make up COI, rather than international comparisons on a monetary basis. Additionally, the COI method used here did not take the quality of the medical treatment provided or patients’ quality of life into consideration. Therefore, it does not examine the cost effectiveness of individual medical management. However, it is still useful because it enables comparison with COIs of other diseases and to regard the impacts of the aging population.

The COI of PLC in Japan has already remarkably decreased and is expected to decrease more rapidly in the future. PLC can be considered a successful case of health policy and technological development in Japan. The COI of PLC is expected to also decrease in Taiwan in the future.

Conclusion

The findings of the present study suggest that the COI of PLC in Japan has continuously decreased to date, whereas that in Taiwan has continuously increased. Previous health policies and technological developments are considered to have accelerated the COI decrease in Japan and are expected to change the trend of COI of PLC in Taiwan.

Availability of data and materials

The datasets during and/or analysed during the current study available from the corresponding author on reasonable request.

Abbreviations

COI:

Cost of illness

PLC:

Primary liver cancer

HBV:

Hepatitis B virus

HCV:

Hepatitis C virus

DC:

Direct cost

IC:

Indirect cost

MbC:

Morbidity cost

MtC:

Mortality cost

TOVy:

Total person-days of outpatient visits

LVd:

1-day labour value per person

THD:

Total person-days of hospitalization

Iy:

Annual income per person

ULVy :

Annual monetary valuation of unpaid work per person

HPy:

Annual number of hospitalized patients

ALOS:

Average length of stay

NDy:

Number of deaths

LVl:

Lifetime labour value per person

JPY:

Japanese Yen

NTD:

New Taiwan dollars

References

  1. Vital statistics. Ministry of Health, Labour and Welfare. Available at: http://www.mhlw.go.jp/english/database/db-hw/vs01.html. Accessed 19 Aug 2019.

  2. Cause of death statistics. Ministry of Health and Welfare. Available at: https://dep.mohw.gov.tw/DOS/cp-3960-41758-113.html. Accessed 19 Aug 2019.

  3. Are C, Meyer B, Stack A, Ahmad H, Smith L, Qian B, et al. Global trends in the burden of liver cancer. J Surg Oncol. 2017;115:591–602. https://doi.org/10.1002/jso.24518 PMID: 28345140.

    Article  PubMed  Google Scholar 

  4. Kudo M. Surveillance, diagnosis, treatment, and outcome of liver cancer in Japan. Liver Cancer. 2015;4:39–50. https://doi.org/10.1159/000367727 PMID: 26020028.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Venook AP, Papandreou C, Furuse J, de Guevara LL. The incidence and epidemiology of hepatocellular carcinoma: a global and regional perspective. Oncologist. 2010;15:5–13. https://doi.org/10.1634/theoncologist.2010-S4-05 PMID: 21115576.

    Article  PubMed  Google Scholar 

  6. Tanaka J, Katayama K. Epidemiology of hepatocellular carcinoma in Japan from the overview of hepatitis viral infection. Nippon Rinsho. 2015;73:51–8 [in Japanese].

    Google Scholar 

  7. Zhu RX, Seto WK, Lai CL, Yuen MF. Epidemiology of hepatocellular carcinoma in the Asia-Pacific region. Gut Liver. 2016;10:332–9. https://doi.org/10.5009/gnl15257 PMID: 27114433.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Chan AT, Jacobs P, Yeo W, Lai M, Hazlett CB, Mok TS, et al. The cost of palliative care for hepatocellular carcinoma in Hong Kong. PharmacoEconomics. 2001;19:947–53. 11700781.

    Article  CAS  PubMed  Google Scholar 

  9. Xiao J, Lin H, Liu T, Zeng W, Li X, Shao X, et al. Disease burden from hepatitis B virus infection in Guangdong Province, China. Int J Environ Res Public Health. 2015;12:14055–67. https://doi.org/10.3390/ijerph121114055 PMID: 26540065.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Chung W. The cost of liver disease in Korea: methodology, data, and evidence. Clin Mol Hepatol. 2015;21:14–21. https://doi.org/10.3350/cmh.2015.21.1.14 PMID: 25834797.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Lee S, Chung W, Hyun KR. Socioeconomic costs of liver disease in Korea. Korean J Hepatol. 2011;17:274–91. https://doi.org/10.3350/kjhep.2011.17.4.274 PMID: 22310792.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Matsumoto K, Haga K, Hanaoka S, Kitazawa T, Hasegawa T. Cost of illness for major cancers in Japan. Nihon IRYO Manejimento Gakkai Zasshi. 2012;13:2–6 in Japanese, English abstract.

    Google Scholar 

  13. Kitazawa T, Matsumoto K, Fujita S, Seto K, Wu Y, Hirao T, et al. Cost of illness of non-alcoholic liver cirrhosis in Japan: a time trend analysis and future projections. Hepatol Res. 2018;48(2):176–83. https://doi.org/10.1111/hepr.12913 Epub 2017 Jun 6.

    Article  PubMed  Google Scholar 

  14. Rice DP. Estimating the cost of illness. Am J Public Health Nations Health. 1967;57:424–40 PMID: 6066903.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Rice DP, Hodgson TA. The value of human life revisited. Am J Public Health. 1982;72:536–8 PMID: 6803601.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Crum GE, Rice DP, Hodgson TA. The priceless value of human life. Am J Public Health. 1982;72:1299–300 PMID: 11643809.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Rice DP, Hodgson TA, Kopstein AN. The economic costs of illness: A replication and update. Health Care Financ Rev. 1985;7:61–80 PMID: 10311399.

    CAS  PubMed  PubMed Central  Google Scholar 

  18. Rice DP. Cost-of-illness studies: fact or fiction? Lancet. 1994;344:1519–20 PMID: 7983947.

    Article  CAS  PubMed  Google Scholar 

  19. Rice DP. Cost of illness studies: what is good about them? InJ Prev. 2000;6:177–9. https://doi.org/10.1136/ip.6.3.177 PMID: 11003181.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Tarricone R. Cost-of-illness analysis. What room in health economics? Health Pol. 2006;77:51–63.

    Article  Google Scholar 

  21. Matsumoto K, Wu Y, Kitazawa T, Fujita S, Seto K, Hasegawa T. Cost of illness of hepatocellular carcinoma in Japan: A time trend and future projections. PLOS ONE. eCollection 2018. 2018;13:e0199188. https://doi.org/10.1371/journal.pone.0199188.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Survey of National Medical Care Insurance Services, Ministry of Health. Labour and welfare. Available at: https://www.e-stat.go.jp/stat-search/files?page=1&toukei=00450048&tstat=000001029602. Accessed 19 Aug 2019.

  23. National health insurance annual statistical. Ministry of Health and Welfare. Available at: https://dep.mohw.gov.tw/DOS/np-1918-113.html. Accessed 19 Aug 2019.

  24. Patient survey. Ministry of Health, Labour and Welfare. Available at: http://www.mhlw.go.jp/toukei/list/10-20.html. Accessed 19 Aug 2019.

  25. National Health Research Database, Ministry of Health and Welfare. Available at: https://nhird.nhri.org.tw/en/ Cited. Accessed 19 Aug 2019.

  26. Basic survey on wage structure. Ministry of Health, Labour and Welfare. Available at: http://www.mhlw.go.jp/toukei/list/chingin_zenkoku.html. Accessed 19 Aug 2019.

  27. Kubo T. Labor force survey, Ministry of Internal Affairs and Communications. J UOEH. 2014;36:273–6 Available at: http://www.stat.go.jp/data/roudou/ cited. Accessed 6 Aug 2018.

    Article  PubMed  Google Scholar 

  28. Estimates of monetary valuation of unpaid work, Cabinet Office, Government of Japan. Available at: http://www.esri.cao.go.jp/jp/sna/sonota/satellite/roudou/roudou_top.html. Accessed 19 Aug 2019.

  29. Manpower survey, Directorate-General of Budget, accounting and statistics, executive yuan, R.O.C. (Taiwan). Available at: https://www.dgbas.gov.tw/lp.asp?CtNode=4987&CtUnit=1183&BaseDSD=7&mp=1. Accessed 19 Aug 2019.

  30. Fukuda K, Shiraiwa K, Ikeda S, Igarashi A, Akazawa M, Ishida H. Guideline for economic evaluation of healthcare technologies in Japan. J Nat. 2013;62:625–40 [in Japanese], Institute of Public Health.

    Google Scholar 

  31. Cause of death statistics. Ministry of Health and Welfare. Available at: https://www.mohw.gov.tw/np-128-2.html. Accessed 19 Aug 2019.

  32. Cheng AL, Kang YK, Chen Z, Tsao CJ, Qin S, Kim JS, et al. Efficacy and safety of sorafenib in patients in the Asia-Pacific region with advanced hepatocellular carcinoma: a phase III randomized, double-blind, placebo-controlled trial. Lancet Oncol. 2009;10(1):25–34.

    Article  CAS  PubMed  Google Scholar 

  33. Liu CY, Chen KF, Chen PJ. Treatment of liver Cancer. Cold Spring Harb Perspect Med. 2015 Jul 17;5(9):a021535. https://doi.org/10.1101/cshperspect.a021535.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Tanaka J, Mizui M, Nagakami H, Katayama K, Tabuchi A, Komiya Y, et al. Incident rates of hepatitis B and c virus infections among blood donors in Hiroshima, Japan, during 10 years from 1994 to 2004. Intervirology. 2008;51:33–41. https://doi.org/10.1159/000118794 PMID: 18309247.

    Article  PubMed  Google Scholar 

  35. Chayama K, Hayes CN, Ohishi W, Kawakami Y. Treatment of chronic hepatitis C virus infection in Japan: update on therapy and guidelines. J Gastroenterol. 2013;48:1–12. https://doi.org/10.1007/s00535-012-0714-9 Epub 2012 Nov 28.

    Article  CAS  PubMed  Google Scholar 

  36. Li T, Qu Y, Guo Y, Wang Y, Wang L. Efficacy and safety of direct-acting antivirals-based antiviral therapies for hepatitis C virus patients with stage 4-5 chronic kidney disease: a meta-analysis. Liver Int eCollection. 2017;37(7):974–81. https://doi.org/10.1111/liv.13336 Epub 2017 Jan 2.

    Article  CAS  Google Scholar 

  37. Hsu HM, Lu CF, Lee SC, Lin SR, Chen DS. Seroepidemiologic survey for hepatitis B virus infection in Taiwan: the effect of hepatitis B mass immunization. J Infect Dis. 1999;179:367–70.

    Article  CAS  PubMed  Google Scholar 

  38. Chang CH, Lin JW, Wu LC, Liu CH, Lai MS. National antiviral treatment program and the incidence of hepatocellular carcinoma and associated mortality in Taiwan: a preliminary report. Med Care. 2013;51:908–13. https://doi.org/10.1097/MLR.0b013e3182a502ba.

    Article  PubMed  Google Scholar 

  39. Chiang CJ, Yang YW, Chen JD, You SL, Yang HI, Lee MH, et al. Significant reduction in end-stage liver diseases burden through the national viral hepatitis therapy program in Taiwan. Hepatology. 2015;61:1154–62. https://doi.org/10.1002/hep.27630 Epub 2015 Feb 10. PMID: 25476749.

    Article  PubMed  Google Scholar 

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Acknowledgements

Not applicable.

Funding

The research was funded by Shanghai Municipal Health and Family Planning Commission (No.201640176), and Shanghai Municipal Education Commission-Nursing Gaoyuan Project (hlgy1901gi), and China Hospital Development Institute, Shanghai Jiao Tong University(CHDI-2019-B-04).

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YW, KM and TH designed the study. KM, YC, YT and TC collected the data. YW and KM analysed the data and drafted the manuscript; All authors critically reviewed the manuscript for important intellectual content and approved the final version of the manuscript.

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Correspondence to Tomonori Hasegawa.

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The protocol of this study was approved by the Ethical Committee of Toho University School of Medicine (reference number A16019).

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Wu, Y., Matsumoto, K., Chen, YM. et al. Comparison of the cost of illness of primary liver cancer between Japan and Taiwan. Health Econ Rev 10, 38 (2020). https://doi.org/10.1186/s13561-020-00296-7

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