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Gut and Liver is an international journal of gastroenterology, focusing on the gastrointestinal tract, liver, biliary tree, pancreas, motility, and neurogastroenterology. Gut atnd Liver delivers up-to-date, authoritative papers on both clinical and research-based topics in gastroenterology. The Journal publishes original articles, case reports, brief communications, letters to the editor and invited review articles in the field of gastroenterology. The Journal is operated by internationally renowned editorial boards and designed to provide a global opportunity to promote academic developments in the field of gastroenterology and hepatology. +MORE
Yong Chan Lee |
Professor of Medicine Director, Gastrointestinal Research Laboratory Veterans Affairs Medical Center, Univ. California San Francisco San Francisco, USA |
Jong Pil Im | Seoul National University College of Medicine, Seoul, Korea |
Robert S. Bresalier | University of Texas M. D. Anderson Cancer Center, Houston, USA |
Steven H. Itzkowitz | Mount Sinai Medical Center, NY, USA |
All papers submitted to Gut and Liver are reviewed by the editorial team before being sent out for an external peer review to rule out papers that have low priority, insufficient originality, scientific flaws, or the absence of a message of importance to the readers of the Journal. A decision about these papers will usually be made within two or three weeks.
The remaining articles are usually sent to two reviewers. It would be very helpful if you could suggest a selection of reviewers and include their contact details. We may not always use the reviewers you recommend, but suggesting reviewers will make our reviewer database much richer; in the end, everyone will benefit. We reserve the right to return manuscripts in which no reviewers are suggested.
The final responsibility for the decision to accept or reject lies with the editors. In many cases, papers may be rejected despite favorable reviews because of editorial policy or a lack of space. The editor retains the right to determine publication priorities, the style of the paper, and to request, if necessary, that the material submitted be shortened for publication.
Do Young Kim
Correspondence to: Do Young Kim, Department of Internal Medicine, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea, Tel: +82-2-2228-1992, Fax: +82-2-393-6884, E-mail: dyk1025@yuhs.ac
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Gut Liver 2017;11(6):745-746. https://doi.org/10.5009/gnl17408
Published online November 15, 2017, Published date November 15, 2017
Copyright © Gut and Liver.
In medicine, cost-of-illness studies play a role as they might be used as references for resource allocation, development of policy, and for determination of the cost-effectiveness of new therapies.1 Chronic hepatitis C (CHC) is a serious worldwide health-related burden, and recent development and introduction of direct-acting antivirals (DAAs) for CHC has made a substantial push toward looking the disease from the economic point of view.2 Economic impact of CHC and its management can be evaluated by two different approaches. The first is cost-of-illness study, where only immediate costs of treatment for CHC are considered. Whereas, cost-effectiveness study usually needs more assumptions and should include clinical outcomes such as disease related morbidity or mortality. Thus, cost-of-illness studies may provide actual and fundamental data to properly conduct cost-effectiveness studies.
Various methodologies in the area of health economy can be applied to cost-of-illness studies, each having its own advantages and disadvantages. Furthermore, because of divergence in healthcare system and reimbursement policy, it is almost impossible to compare directly the costs incurred by a disease among countries. It is also noteworthy that many of the studies estimate only direct costs related to the disease, excluding indirect costs such as loss of productive job and transportation fees due to absent or incorrect data.3
Cost-estimation studies related to CHC have not been presented in Asian region, even though such countries as Japan and Taiwan have a high prevalence of hepatitis C virus (HCV) infection. In this regard, the article by Ki
In the article of Ki
The number of patients who received antiviral therapy with interferon (or pegylated interferon) and/or ribavirin at least once was 25,223 accounting for 13.9% of all the patients between 2009 and 2013. Interestingly, the costs per patient during the study period were 19,743 USD in those who underwent antiviral therapy, while the costs in those who did not undergo antiviral therapy were 3,126 USD. A substantial proportion (78.5%) of costs in patients who received antiviral therapy was incurred by drugs including pegylated interferon. However, 37.2% of the total costs were incurred by drugs other than antiviral agents in those who did not undergo antiviral therapy. What should be kept in mind is that cost-of-illness study just estimates immediate costs, and it might be addressed by another kind of cost study whether antiviral treatment-related high costs could lower overall costs in long-term outcomes.
The authors in their study highlighted low rates of anti-HCV treatment uptake (13.9%) over 5-year period. Though these figures might underestimate the real rates of treatment because some patients had already underwent antiviral therapy before the study period, indeed a significant proportion of CHC patients did not received therapy in the interferon era due to various reasons including advanced liver fibrosis, old age and fear of adverse events. Additional finding related to antiviral therapy is that 1,471 patients received ribavirin monotherapy without interferon or pegylated interferon, which is not a recommended regimen. There is a need of advertisement and education on the proper anti-HCV regimen for physicians in the community utilizing this analysis.
Claim data have its own limitations, resulting in inaccuracy and ambiguity. As the authors stated, it may be argued whether diagnosis of CHC, cirrhosis and HCC was accurately made with ICD-10 codes. Unfortunately, the costs related to management of decompensated cirrhosis were not separately estimated due to this limitation. Exclusion of non-reimbursed costs from the estimation, and the possibility of including costs incurred by co-morbidities not by CHC itself are also disadvantages.
It has been apparent that healthcare costs increase if CHC-related diseases are not properly controlled. Overall, the increase of costs per person for HCC seems to be greater compared to CHC or cirrhosis; from 5,838 to 6,945 USD in HCC versus from 1,470 to 1,873 USD in cirrhosis versus from 813 to 895 USD in CHC (from 2009 to 2013). Therefore, the issue of whether stopping progression of disease with DAAs could decrease healthcare costs needs to be further studied using these data.
Gut and Liver 2017; 11(6): 745-746
Published online November 15, 2017 https://doi.org/10.5009/gnl17408
Copyright © Gut and Liver.
Do Young Kim
Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
Correspondence to: Do Young Kim, Department of Internal Medicine, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea, Tel: +82-2-2228-1992, Fax: +82-2-393-6884, E-mail: dyk1025@yuhs.ac
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
In medicine, cost-of-illness studies play a role as they might be used as references for resource allocation, development of policy, and for determination of the cost-effectiveness of new therapies.1 Chronic hepatitis C (CHC) is a serious worldwide health-related burden, and recent development and introduction of direct-acting antivirals (DAAs) for CHC has made a substantial push toward looking the disease from the economic point of view.2 Economic impact of CHC and its management can be evaluated by two different approaches. The first is cost-of-illness study, where only immediate costs of treatment for CHC are considered. Whereas, cost-effectiveness study usually needs more assumptions and should include clinical outcomes such as disease related morbidity or mortality. Thus, cost-of-illness studies may provide actual and fundamental data to properly conduct cost-effectiveness studies.
Various methodologies in the area of health economy can be applied to cost-of-illness studies, each having its own advantages and disadvantages. Furthermore, because of divergence in healthcare system and reimbursement policy, it is almost impossible to compare directly the costs incurred by a disease among countries. It is also noteworthy that many of the studies estimate only direct costs related to the disease, excluding indirect costs such as loss of productive job and transportation fees due to absent or incorrect data.3
Cost-estimation studies related to CHC have not been presented in Asian region, even though such countries as Japan and Taiwan have a high prevalence of hepatitis C virus (HCV) infection. In this regard, the article by Ki
In the article of Ki
The number of patients who received antiviral therapy with interferon (or pegylated interferon) and/or ribavirin at least once was 25,223 accounting for 13.9% of all the patients between 2009 and 2013. Interestingly, the costs per patient during the study period were 19,743 USD in those who underwent antiviral therapy, while the costs in those who did not undergo antiviral therapy were 3,126 USD. A substantial proportion (78.5%) of costs in patients who received antiviral therapy was incurred by drugs including pegylated interferon. However, 37.2% of the total costs were incurred by drugs other than antiviral agents in those who did not undergo antiviral therapy. What should be kept in mind is that cost-of-illness study just estimates immediate costs, and it might be addressed by another kind of cost study whether antiviral treatment-related high costs could lower overall costs in long-term outcomes.
The authors in their study highlighted low rates of anti-HCV treatment uptake (13.9%) over 5-year period. Though these figures might underestimate the real rates of treatment because some patients had already underwent antiviral therapy before the study period, indeed a significant proportion of CHC patients did not received therapy in the interferon era due to various reasons including advanced liver fibrosis, old age and fear of adverse events. Additional finding related to antiviral therapy is that 1,471 patients received ribavirin monotherapy without interferon or pegylated interferon, which is not a recommended regimen. There is a need of advertisement and education on the proper anti-HCV regimen for physicians in the community utilizing this analysis.
Claim data have its own limitations, resulting in inaccuracy and ambiguity. As the authors stated, it may be argued whether diagnosis of CHC, cirrhosis and HCC was accurately made with ICD-10 codes. Unfortunately, the costs related to management of decompensated cirrhosis were not separately estimated due to this limitation. Exclusion of non-reimbursed costs from the estimation, and the possibility of including costs incurred by co-morbidities not by CHC itself are also disadvantages.
It has been apparent that healthcare costs increase if CHC-related diseases are not properly controlled. Overall, the increase of costs per person for HCC seems to be greater compared to CHC or cirrhosis; from 5,838 to 6,945 USD in HCC versus from 1,470 to 1,873 USD in cirrhosis versus from 813 to 895 USD in CHC (from 2009 to 2013). Therefore, the issue of whether stopping progression of disease with DAAs could decrease healthcare costs needs to be further studied using these data.