Scenarios to manage the hepatitis C disease burden and associated economic impact of treatment in Turkey

Örmeci, Necati; Malhan, S; Balık, İsmail; Ergör, Gül; Razavi, Homie; Scott, Sarah Robbins

doi:10.1007/s12072-017-9820-3

Cited by 7 publications

(4 citation statements)

References 23 publications

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“…Örmeci et al evaluated the costeffectiveness of HCV diagnosis and treatment in Turkey. They found that the screening and testing are cost-effective and by implementing the WHO targets scenario, Turkey would be able to reduce HCV prevalence by 80% and the total number of related deaths by < 65% by 2030 [21]. In a 36-months study in Ireland, HBV, HCV and HIV screening was performed in 41,535 patients who underwent phlebotomy in emergency department.…”

Section: Discussionmentioning

confidence: 99%

Hepatitis C screening and referral for further investigation and treatment in a tertiary care hospital

İskender

Mert

Çeken

et al. 2020

J Infect Dev Ctries

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Introduction: Hepatitis C virus infection is a major cause of cirrhosis and liver cancer worldwide. The knowledge of physicians about what should they do in case of any anti-HCV positivity in screening tests is of great importance. In this study the awareness and knowledge of physicians is evaluated by analyzing the rate of the referrals of anti-HCV positive patients to HCV RNA test and their treatment by different clinics. Methodology: The patients tested for anti-HCV in internal medicine, surgery, gastroenterology and infectious disease clinics between 1 January and 31 December 2017 were evaluated retrospectively in a tertiary care hospital. Results: Anti-HCV testing was performed in 32,803 patients. Anti-HCV positivity was detected in 95 (0.28%) patients aged 88 years of age or younger (mean 60.89 ± 16.96 years), 57.89% of them were female. HCV RNA was tested in 50 (%52,63) of anti-HCV positive patients and it was found positive in 18 (36%) patients. In anti-HCV positive patients HCV RNA testing was requested most by infectious disease (100%) and gastroenterology (70.58%) clinics and least by surgery and other clinics (21% and 25% respectively). These differences were found to be statistically significant ( =33.65, p < 001). Conclusions: Our study highlights the significant deficiencies existed in the referring patients with anti-HCV positivity for further examination and treatment by the attending physicians especially in surgical clinics. Performing HCV screening in the different steps of medical care and using electronic reminder systems directing physicians at appropriate diagnostic and treatment protocols can maximize the likelihood of the detection and treatment of HCV- infected patients.

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Section: Discussionmentioning

confidence: 99%

Hepatitis C screening and referral for further investigation and treatment in a tertiary care hospital

İskender

Mert

Çeken

et al. 2020

J Infect Dev Ctries

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“…The European and Eastern Mediterranean regions are affected more, but there are variations in HCV infection prevalence across and within countries [1]. In Turkey, HCV infection prevalence rates range between 0.95% and 2.4% [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Treatment initiation rates of patients with positive anti-hepatitis C virus results in tertiary hospitals in Turkey

Çelen,

Ertürk Şengel,

Kaya

et al. 2024

J Infect Dev Ctries

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Introduction: The aim of this national, multicenter, cross-sectional, retrospective chart review study was to determine the proportion of patients in Turkey who received hepatitis C virus (HCV) treatment after receiving positive anti-HCV results during HCV screening. Methodology: Data related to patients’ demographics, laboratory results, time interval from obtaining a positive anti-HCV result to treatment initiation, specialty of the physician requesting anti-HCV screening, and type of hospital were analyzed. Results: Among 1,000 patients who received a positive anti-HCV result, 50.3% were male and 78.5% were screened for HCV-RNA. Among HCV-RNA screened patients, 54.8% (n = 430) had a positive result. Among patients who tested positive for HCV-RNA, 72.8% received HCV treatment in line with their positive anti-HCV results. The median time from obtaining a positive anti-HCV result to initiation of HCV treatment was 91.0 days (interquartile range 42.0 to 178.5). Non-surgical branches requested HCV-RNA testing more frequently than surgical branches (p < 0.001). The rate of access to HCV treatment was higher among patients screened in university hospitals than among patients screened in training and research hospitals (p < 0.001). Conclusions: Our results indicate a higher rate of treatment initiation among patients with HCV infection than is described in the published literature. Furthermore, the time from screening to treatment initiation was considerably shorter compared with other international studies. However, since HCV-RNA testing was not requested in a significant portion of patients with a positive anti-HCV test result, there might be a large patient population with HCV who do not receive treatment.

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“…Daha sonra, benzer bir modelle HIV farkındalık programlarının prevalansın azaltmasında etkili olduğunu bulmuşlardır. 71 HCV için yapılan modellerle, gelecek vaka tahminiyle beraber hastalık yükü, 72 tedavi maliyet-etkililiği ve hastalığın eliminasyonu 73 incelenmiştir. Koyuncu ve Erol, 74 pandemik influenza için kaynak ayırma modeli oluşturup Türkiye için uygulamışlardır.…”

Section: Introductionunclassified

Mathematical Models in Healthcare

Yaylalı

2020

Online Türk Sağlık Bilimleri Dergisi

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Sağlık araştırmalarında matematik modellerin uygulanması yeni olmamakla beraber son yıllarda oldukça yaygınlaşmıştır. Bu artışın nedeni olarak veriyle hesaplama gücündeki artış kadar sağlık maliyetlerinin artması, kaynakların azalması bununla beraber artan yaşam süresi nedeniyle rastlanan kompleks sağlık sorunları da gösterilebilir. Bu çalışma, matematik modellerin sağlık alanındaki uygulamalarını incelemeyi amaçlamakta olup özellikle klinik uygulamaları ve hastalık modellerine önem vermiştir. Bulaşıcı hastalıklar ve kronik hastalıkların modellenmesi bunlara bağlı olarak tedavi ve korunma yöntemlerinin arasından en etkin ve maliyet etkili olanların belirlenmesi önemli bir alandır. Kızamık, grip, kanser ve HIV gibi birçok hastalık ve halk sağlığı sorunu matematik modeller yardımıyla incelenip var olan kaynakların etkin kullanımını sağlayacak karar destek çalışmaları mevcuttur. Bu çalışmada, bu çalışmaların geniş bir özeti kullanılan matematik modelleme yöntemlerinin sınıflandırılmasıyla verilmiştir. Hastalık model yöntemleri olarak Markov modeller, kompartıman modelleri ve ajan temelli benzetim modelleri metot olarak özetlenmiş ve yapılan önemli çalışmalardan bazıları ve Türkiye'de yapılan uygulamalar incelenmiştir.

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Scenarios to manage the hepatitis C disease burden and associated economic impact of treatment in Turkey

Abstract: By implementing the WHO Targets scenario, Turkey would be able to lower HCV prevalence by 80 % and reduce the total number of liver-related deaths by >65 % by 2030. Treating HCV infection in the country is cost-effective if healthcare and indirect costs are taken into consideration.

Cited by 7 publications

References 23 publications

Hepatitis C screening and referral for further investigation and treatment in a tertiary care hospital

Hepatitis C screening and referral for further investigation and treatment in a tertiary care hospital

Treatment initiation rates of patients with positive anti-hepatitis C virus results in tertiary hospitals in Turkey

Mathematical Models in Healthcare

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